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Ayse K. Coskun Boston University, Electrical and Computer Engineering Department

8 Saint Mary’s Street, Boston, MA 02215 USA -- Phone: 617-358-3641 -- E-mail: acoskun@bu.edu

Web: Personal Website, Research Group (PeacLab), Google Scholar

Education

PhD Computer Science and Engineering, University of California, San Diego 2009

MS Computer Science and Engineering, University of California, San Diego 2006

BS Microelectronics Engineering, Minor Degree in Physics, Sabanci University, Turkey 2003

Research Interests

Energy-efficient computing, power and thermal management of computing systems, novel computer architectures (e.g., enabled by 3D stacking or on-chip silicon photonics), embedded system design, cloud and HPC analytics with applied machine learning methods, data center resource and energy management.

Work Experience

Boston University, Boston, MA

Associate Professor in Electrical and Computer Engineering Department May 2015-Present

Assistant Professor September 2009-May 2015

Classes taught: Introduction to Embedded Systems (EC535), Introduction to Software Engineering (EC327), Advanced Computing Systems & Architecture (EC700).

7 PhD alumni, currently advising 9 PhD students. Hosted and advised 20+ undergraduate researchers and 9 high school students at the Performance and Energy Aware Computing Laboratory (PeacLab).

University of California San Diego, San Diego, CA

Graduate Student Researcher in Computer Science and Engineering Department 2003-2009

Advisor: Prof. Tajana Simunic Rosing

PhD thesis: “Efficient Thermal Management for Multiprocessor Systems”.

Sun Microsystems, San Diego, CA (now Oracle)

Intern in Systems Dynamics Characterization and Control Team 2006-2009

Supervisor: Dr. Kenny C. Gross

Conducted research on temperature and reliability modeling / management methods, monitoring real-time system behavior, and runtime analysis. Co-authored 6 US patents.

Awards and Honors

Participant at the National Academy of Engineering’s Frontiers of Engineering Symposium, September 2019.

Best Artifact Award (given to software artifacts of research papers) at the International European Conference on Parallel and Distributed Computing (EuroPar), 2018.

Ernest S. Kuh Early Career Award, IEEE Council on Electronic Design Automation (CEDA), 2017. “For sustained and outstanding contributions to energy-efficient system-level design, including temperature-aware design and management, 3D-stacked system design, and management of large-scale computing systems.”

Gauss Award (an outstanding paper award) at the International Supercomputing Conference - High Performance (ISC-HPC), 2017.

NSF CAREER Award, “3D Stacked Systems for Energy‐Efficient Computing: Innovative Strategies in Modeling and Runtime Management”, 2012-2017.

Junior Fellow at The Rafik B. Hariri Institute for Computing and Computational Science & Engineering at Boston University, 2012-2013.

Best Paper Award, High Performance Embedded Computing (HPEC) Workshop, Sept. 2011.

A. Richard Newton Graduate Scholarship Award, Design Automation Conference (DAC), “3D Systems for Low-Power High-Performance Computing”, 2011-2012.

Best Paper Award, IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), October 2009.

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Grants

Grants as Primary Investigator:

Sandia National Laboratories, “Scalable and Explainable Machine Learning Analytics for Understanding HPC Systems”, 2019-2022. PI (100%), $300,000.

IBM TJ Watson Research Center, Open Collaborative Research Award, “System Discovery in the Cloud”, 2016-2020. PI (100%), $225,000 (gift).

Dean’s Catalyst Award at College of Engineering, Boston University, “Sustainable IT and IT for Sustainability”, 2017-2019. PI (40%), $80,000 (gift).

National Science Foundation, CCF SHF, “Reclaiming Dark Silicon via 2.5D Integrated Systems with Silicon Photonic Networks”, 2017-2020. PI (40%), $500,000 (BU Budget, Total). Co-PIs: Ajay Joshi and Milos Popovic at BU.

National Science Foundation, CISE CRI, “CI-New: Collaborative Research: Modeling the Next-Generation Hybrid Cooling Systems for High-Performance Processors”, 2017-2020. PI (33%), $233,964 (BU Budget), $696,000 (Total Project Budget). Co-PIs: Sherief Reda at Brown University and Evelyn Wang at MIT.

Sandia National Labs, U.S. Department of Energy, “Automated Analytics for Improving Efficiency, Safety, and Security of HPC Systems”, 2017-2020. PI (50%), $490,000 (BU Budget, Total). Co-PI: Manuel Egele at BU.

Sandia National Labs, U.S. Department of Energy, “Data Analytics for Improving Efficiency and Security of HPC Systems”, 2015-2017. PI (50%). $189,000 (BU Budget, Total). Co-PI: Manuel Egele at BU.

Sandia National Labs, U.S. Department of Energy, “Intelligent Software Management Strategies”, 2012-2016, PI (100%), $315,000.

Advances Micro Devices (AMD), “Investigation of Phase-Change Material (PCM) for Improvement of Thermal Efficiency”, 2013-2014, PI (100%), $25,000 (gift).

Oracle Research Award, “Temperature-Aware Workload Scheduling for Optimal Energy Efficiency and Reliability for Oracle Systems”, 2011-2014, PI (100%), $165,000 (gift).

Department of Energy via Decision Detective Corporation, “Power Management Optimization Platform for HPC and Data Centers”, 2012-2013. PI (100%), $64,147. Sub-contract as part of an SBIR Phase-II project by Decision Detective Corporation; total project funding: $1M over two years.

NSF CAREER Award, “3D Stacked Systems for Energy‐Efficient Computing: Innovative Strategies in Modeling and Runtime Management”, 2012-2017. PI (100%), $450,000.

VMware Sponsored Academic Research Award, “Energy-Efficient and Reliable Server Consolidation for the Cloud”, 2011-2013, PI (100%), $143,000 (gift).

Massachusetts Green High Performance Computing Center (MGHPCC) seed fund, “Designing Green Software for High Performance Computing Clusters”, 2012-2013. PI (50%), $54,500 (BU Budget). Co-PIs: Martin Herbordt at BU and Gunar Schirner at Northeastern University.

A. Richard Newton Graduate Scholarship Award, Design Automation Conference (DAC), “3D Systems for Low-Power High-Performance Computing”, 2011-2012. PI (100%), $24,000 (gift).

Dean’s Catalyst Award at College of Engineering, Boston University, “Green Computing through Software Optimization”, 2010-2011. PI (50%), $41,280 (gift).

Sun Microsystems (now Oracle) Gift, “Performance-aware energy management for parallel workloads”, 2010. PI (100%), $45,000 (gift).

Grants as Co-PI:

National Science Foundation, CCF SHF, “Managing Thermal Integrity in Monolithic 3D Integrated Systems”, 2019-2022. Co-PI (50%), $250,000 (BU Budget), $500,000 (Total Project Budget). PI: Emre Salman at Stony Brook University.

National Science Foundation, CISE CSR, “A Just-in-Time, Cross-Layer Instrumentation Framework for Diagnosing Performance Problems in Distributed Applications”, 2018-2021. Co-PI (40%), $480,000 (BU Budget, Total). PI: Raja Sambasivan at BU (currently at Tufts) and Co-PI: Orran Krieger at BU.

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Publications and Patents

Book Editorship:

1. Andreas Burg, Ayse K. Coskun, Matthew R. Guthaus, Srinivas Katkoori and Ricardo Reis (Eds.). VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design - 20th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2012, Santa Cruz, CA, USA, October 7-10, 2012, Revised Selected Papers, IFIP Advances in Information and Communication Technology 418, Springer 2013.

Book Chapters:

5. Zihao Yuan, Sherief Reda, Ayse K. Coskun, Compact Thermal Modeling of Emerging Cooling Technologies for Processors, in Embedded Cooling of Electronic Devices, WSPC’s Encyclopedia of Thermal Packaging. Editors: Avi Bar-Cohen, Madhu Iyengar. Pending, submitted in 2019.

4. Tiansheng Zhang, Jonathan Klamkin, Ajay Joshi, and Ayse K. Coskun, Thermal Management of Silicon Photonic NoCs in Many-core Systems, in Photonic Interconnects for Computing Systems: Understanding and Pushing Design Challenges. Editors: M. Nikdast, G. Nicolescu, S. Le Beux, J. Xu. River Publisher, (ISBN: 978-8-793-51980-0), 2017.

3. Tiansheng Zhang, Fulya Kaplan, and Ayse K. Coskun. Thermal Modeling and Management in 3D Stacked Systems, in Physical Design for 3D Integrated Circuits. Editors: Aida Todri-Sanial, and Chuan Seng Tan. CRC Press, (ISBN: 978-1-498-71036-7), pp. 229–244, 2015.

2. Dhireesha Kudithipudi, Qinru Qiu, and Ayse K. Coskun. Thermal Management in Many-Core Systems, in Evolutionary Based Solutions for Green Computing. Editors: Samee U. Khan, Joanna Kolodziej, Juan Li, Albert Y. Zomaya. Springer-Verlag, New York, USA, (ISBN: Print: 978-3-642-30658-7 Online: 978-3-642-30659-4), pp. 161–185, 2013.

1. Ayse K. Coskun, J. Ayala, D. Atienza, T. Simunic Rosing. Thermal Modeling and Management of Liquid-Cooled 3D Stacked Architectures. Editors: J. Becker, M. Johann and R. Reis. Springer, VLSI-SoC: Technologies for Systems Integration (ISBN: 978-3-642-23119-3), pp. 34-55, 2011.

Journal Papers (Peer-reviewed):

26. Anthony Byrne, Emre Ates, Ata Turk, Vladimir Pchelin, Sastry S. Duri, Shripad Nadgowda, Canturk Isci, and Ayse Coskun. Praxi: Cloud Software Discovery That Learns From Practice, in IEEE Transactions on Cloud Computing, 2020.

25. Ayse Coskun, Furkan Eris, Ajay Joshi, Andrew B. Kahng, Yenai Ma, Aditya Narayan, and Vaishnav Srinivas. Cross-Layer Co-Optimization of Network Design and Chiplet Placement in 2.5D Systems, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020.

24. Fulya Kaplan, Mostafa Said, Sherief Reda, and Ayse K. Coskun. LoCool: Fighting Hot Spots Locally for Improving System Energy Efficiency, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 4, pp. 895-908, April 2020.

23. Onur Sahin, Lothar Thiele, and Ayse K. Coskun. Maestro: Autonomous QoS Management for Mobile Applications under Thermal Constraints, In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol: 38, no: 8, Aug. 2019.

22. Monir Zaman, Mustafa M. Shihab, Ayse K. Coskun, Yiorgos Makris. CAPE: A cross-layer framework for accurate microprocessor power estimation. In Elsevier – Integration, vol. 68, pp. 87-98, May 2019.

21. Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, Jim Brandt, Vitus J. Leung, Manuel Egele, and Ayse K. Coskun. Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning, in IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 30, no. 4, pp. 883-896, April 2019.

20. Hao Chen, Yijia Zhang, Michael C. Caramanis, and Ayse K. Coskun. EnergyQARE: QoS-Aware Data Center Participation in Smart Grid Regulation Service Reserve Provision, In ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS), vol. 4, no. 1, Article 2, January 2019.

19. Jose Abellan, Ayse K. Coskun, Anjun Gu, Warren Jin, Ajay Joshi, Andrew B. Kahng, Jonathan Klamkin, Cristian Morales, John Recchio, Vaishnav Srinivas and Tiansheng Zhang, Adaptive Tuning of Photonic Devices in a Photonic NoC Through Dynamic Workload Allocation. In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 36, no. 5, pp. 801-814, May 2017.

18. Can Hankendi and Ayse K. Coskun, Scale & Cap: Scaling-Aware Resource Management for Consolidated Multi-threaded Applications. In ACM Transactions on Design Automation of Electronic Systems, vol. 22, no. 2, pp. 1-22, January 2017.

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17. Jie Meng, Eduard Llamosi, Fulya Kaplan, Chulian Zhang, Jiayi Sheng, Martin Herbordt, Gunar Schirner and Ayse K. Coskun,Communication and Cooling Aware Job Allocation in Data Centers for Communication-intensive Workloads. In Journal of Parallel and Distributed Computing, vol.96, pp.181-193, October 2016.

16. Hao Chen, Ata Turk, Sastry S. Duri, Canturk Isci, and Ayse K. Coskun. Automated System Change Discovery and Management in the Cloud. Accepted by IBM Journal of Research and Development, 2015.

15. Can Hankendi, Hank Hoffmann, and Ayse K. Coskun. Adapt & Cap: Coordinating System and Application-level Adaptation for Power Constrained Systems. In IEEE Design & Test, vol.33, no.1, pp.68-76, Feb. 2016.

14. Onur Sahin, and Ayse K. Coskun. On the Impacts of Greedy Thermal Management in Mobile Devices. In IEEE Embedded Systems Letters, vol.7, no.2, pp.55-58, June 2015.

13. Tiansheng Zhang, Jie Meng, and Ayse K. Coskun. Dynamic Cache Pooling in 3D Multicore Processors. In ACM Journal on Emerging Technologies in Computing Systems, vol.12, no.2, August 2015.

12. Andrea Bartolini, Can Hankendi, Ayse K. Coskun, and Luca Benini. Message Passing-Aware Power Management on Many-Core Systems. In Journal of Low-Power Electronics, vol.10, no.4, pp. 531-549, December 2014.

11. Marina Zapater, Ozan Tuncer, Jose Ayala, Jose Moya, Kalyan Vaidyanathan, Kenny Gross, and Ayse K. Coskun. Leakage-Aware Cooling Management for Improving Server Energy Efficiency. In IEEE Transactions on Parallel and Distributed Computing, vol.pp, no.99, pp. 1-1, 2014.

10. Jie Meng, Samuel McCauley, Fulya Kaplan, Vitus Leung, and Ayse K. Coskun. Simulation and Optimization of HPC Job Allocation for Reducing Communication and Cooling Costs. In Elsevier Sustainable Computing: Informatics and Systems, 2014.

9. Priti Aghera, Jinseok Yang, Piero Zappi, Dilip Krishnaswamy, Ayse K. Coskun, and Tajana Simunic Rosing. Energy Management in Wireless Mobile Systems Using Dynamic Task Assignment. In Journal of Low Power Electronics, vol.9, no.2, pp. 198-217(20), August 2013.

8. Can Hankendi and Ayse K. Coskun. Autonomous Resource Sharing for Multi-threaded Workloads in Virtualized Servers, In VMware Technical Journal, vol 2., no.1, pp. 54-59, June 2013. (Invited)

7. Mohamed M. Sabry, Arvind Sridhar, Jie Meng, Ayse K. Coskun, and David Atienza. GreenCool: An Energy-Efficient Liquid Cooling Design Technique for 3D MPSoCs Via Channel Width Modulation. In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol.32, no.4, pp.524-537, April 2013.

6. Sherief Reda, Ryan Cochran, and Ayse K. Coskun. Adaptive Power Capping for Servers with Multi-threaded Workloads. In IEEE Micro, Special Issue on Energy-Aware Computing, pp. 64-75, Sept.-Oct. 2012.

5. Mohamed M. Sabry, Ayse K. Coskun, David Atienza, Tajana Simunic Rosing, and Thomas Brunschwiler. Energy-efficient Multi-objective Thermal Control for Liquid-Cooled 3D Stacked Architectures. In IEEE Transactions on Computer Aided Design, vol. 30 no. 12, pp. 1883-1896, Dec. 2011.

4. Ayse K. Coskun, Jie Meng, David Atienza, and Mohamed M. Sabry. Attaining Single-Chip, High-Performance Computing through 3D Systems with Active Cooling. In IEEE Micro, Special Issue on Big Chips, pp. 63-73, July/August 2011.

3. Ayse K. Coskun, Tajana Simunic Rosing, and Kenny Gross. Utilizing Predictors for Efficient Thermal Management in Multiprocessor SoCs. In IEEE Transactions on CAD, vol.28 no.10, pp. 1503-1516, Oct. 2009.

2. Ayse K. Coskun, Tajana Simunic Rosing, Keith Whisnant, and Kenny Gross. Static and Dynamic Temperature-Aware Scheduling for Multiprocessor SoCs. In IEEE Transactions on VLSI, vol.16 no.9, pp. 1127-1140,Sept. 2008.

1. Ayse K. Coskun, Tajana Simunic Rosing, Kresimir Mihic, Yusuf Leblebici, and Giovanni De Micheli. Analysis and Optimization of MPSoC Reliability. In Journal of Low Power Electronics (JOLPE), vol.2 no.1, pp. 56-69, April 2006.

Conference Papers (Peer-reviewed):

81. Aditya Narayan, Yvain Thonnart, Pascal Vivet, Ajay Joshi and Ayse Coskun. System-level Evaluation of Chip-Scale Silicon-Photonic Networks for Emerging Data-Intensive Applications. In Proceedings of Design, Automation and Test in Europe (DATE), 2020. (Invited paper)

80. Zihao Yuan, Geoffrey Vaartstra, Prachi Shukla, Zhengmao Lu, Evelyn Wang, Sherief Reda, and Ayse K. Coskun. A Learning-Based Thermal Simulation Framework for Emerging Two-Phase Cooling Technologies. In Proceedings of Design, Automation and Test in Europe (DATE), 2020.

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79. Onur Sahin, Assel Aliyeva, Hariharan Mathavan, Ayse K. Coskun, Manuel Egele. RandR: Record and Replay for Android Applications via Targeted Runtime Instrumentation. In Proceedings of the International Conference on Automated Software Engineering (ASE), pp. 128-138, Nov. 2019.

78. Emre Ates, Lily Sturmann, Mert Toslali, Orran Krieger, Richard Megginson, Ayse K. Coskun, Raja R. Sambasivan. An Automated, Cross-layer Instrumentation Framework for Diagnosing Performance Problems in Distributed Applications. In Proceedings of ACM Symposium on Cloud Computing (SoCC), Santa Cruz, pp. 165-170, Nov. 2019.

77. Emre Ates, Yijia Zhang, Burak Aksar, Jim Brandt, Vitus J. Leung, Manuel Egele, and Ayse K. Coskun. HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations. In International Conference on Parallel Processing (ICPP), pp. 1-10, Aug. 2019.

76. Zihao Yuan, Geoffrey Vaartstra, Prachi Shukla, Sherief Reda, Evelyn Wang, and Ayse K. Coskun. Modeling and Optimization of Chip Cooling with Two-Phase Vapor Chambers. In ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), pp. 1-6, July 2019.

75. Athanasios Tsiligkaridis, Ioannis Ch. Paschalidis, and Ayse K. Coskun. Data Center Demand Response Pricing Using Inverse Optimization. In ACM International Conference on Future Energy Systems (e-Energy), pp. 400-402, June 2019.

74. Yijia Zhang, Ioannis Ch. Paschalidis, and Ayse K. Coskun. Data Center Participation in Demand Response Programs with Quality-of-Service Guarantees. In ACM International Conference on Future Energy Systems (e-Energy), pp. 285-302, June 2019.

73. Prachi Shukla, Ayse K. Coskun, Vasilis F. Pavlidis, and Emre Salman. An Overview of Thermal Challenges and Opportunities for Monolithic 3D ICs. In ACM Great Lakes Symposium on VLSI (GLSVLSI), pp. 439-444, May 2019.

72. Zihao Yuan, Geoffrey Vaartstra, Prachi Shukla, Mostafa Said, Sherief Reda, Evelyn Wang, and Ayse K. Coskun. Two-Phase Vapor Chambers with Micropillar Evaporators:A New Approach to Remove Heat from Future High-Performance Chips. In 19th IEEE Intersociety Conference on Thermal and Thermomechnanical Phenomena in Electronic Systems (ITHERM), pp. 456-464, May 2019.

71. Aditya Narayan, Yvain Thonnart, Pascal Vivet, Cesar Fuguet Tortolero, and Ayse K. Coskun. WAVES: Wavelength Selection for Power-Efficient 2.5D-Integrated Photonic NoCs. In Design, Automation and Test in Europe (DATE), pp. 516-521, 2019.

70. Ayse Coskun, Furkan Eris, Ajay Joshi, Andrew B. Kahng, Yenai Ma, and Vaishnav Srinivas. A Cross-Layer Methodology for Design and Optimization of Networks in 2.5D Systems. In International Conference on Computer-Aided Design (ICCAD), Nov. 2018.

69. Yijia Zhang, Ozan Tuncer, Athanasios Tsiligkaridis, Michael Caramanis, Ioannis Ch. Paschalidis, and Ayse K. Coskun. Experiments on Data Center Participation in Demand Response Programs. In IEEE High Performance Extreme Computing Conference (HPEC), Sept. 2018.

68. Qingqing Xiong, Emre Ates, Martin C. Herbordt and Ayse K. Coskun. Tangram: Colocating HPC Applications with Oversubscription. In IEEE High Performance Extreme Computing Conference (HPEC), Sept. 2018.

67. Onur Sahin, Ayse K. Coskun and Manuel Egele. Proteus: Detecting Android Emulators from Instruction-level Profiles. In International Symposium on Research in Attacks, Intrusions, and Defenses (RAID), Sept. 2018.

66. Emre Ates, Ozan Tuncer, Ata Turk, Vitus J. Leung, Jim Brandt, Manuel Egele and Ayse K. Coskun. Taxonomist: Application Detection through Rich Monitoring Data. In International European Conference on Parallel and Distributed Computing (Euro-Par), Aug. 2018. Best Artifact Award.

65. Artem Andreev, Fulya Kaplan, Marina Zapater, Ayse K. Coskun, David Atienza. Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell Arrays. In ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), July. 2018.

64. Monir Zaman, Mustafa M. Shibab, Ayse K. Coskun and Yiorgos Makris. Towards a Cross-Layer Framework for Accurate Power Modeling of Microprocessor Designs. In International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), July. 2018.

63. Ozan Tuncer, Nilton Bila, Sastry Duri, Canturk Isci and Ayse K. Coskun. ConfEx: Towards Automating Software Configuration Analytics in the Cloud. In IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) – Industry Track, June. 2018.

62. Aditya Narayan, Tiansheng Zhang, Shaizeen Aga, Satish Narayanasamy and Ayse K. Coskun. MOCA: Memory Object Classification and Allocation in Heterogeneous Memory Systems. In Proceedings of IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. 2018.

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61. Yijia Zhang, Ozan Tuncer, Fulya Kaplan, Katzalin Olcoz, Vitus J. Leung, and Ayse K. Coskun. Level-Spread: A New Job Allocation Policy for Dragonfly Networks. In Proceedings of IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. 2018.

60. Furkan Eris, Ajay Joshi, Andrew B. Kahng, Yenai Ma, Saiful Mojumder, and Tiansheng Zhang. Leveraging Thermally-Aware Chiplet Organization in 2.5D Systems to Reclaim Dark Silicon. In Design, Automation and Test in Europe (DATE), Mar. 2018.

59. Ozan Tuncer, Yijia Zhang, Vitus J. Leung, and Ayse K. Coskun. Task Mapping on a Dragonfly Supercomputer. In IEEE High Performance Extreme Computing Conference (HPEC), Sep. 2017.

58. Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, Jim Brandt, Vitus Leung, Manuel Egele, and Ayse K. Coskun. Diagnosing Performance Variations in HPC Applications using Machine Learning. In International Supercomputing Conference, ISC-HPC 2017, pp. 355-373, June 2017. Gauss Award.

57. Fulya Kaplan, Sherief Reda, and Ayse K. Coskun. Fast Thermal Modeling of Liquid, Thermoelectric, and Hybrid Cooling. In The Intersociety Conference on Thermal and Thermomechnanical Phenomena in Electronic Systems (ITHERM), 2017.

56. Fulya Kaplan, Ozan Tuncer, Vitus J. Leung, Scott K. Hemmert, and Ayse K. Coskun. Unveiling the Interplay Between Global Link Arrangements and Network Management Algorithms on Dragonfly Networks. In IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2017.

55. Ata Turk, Hao Chen, Anthony Byrne, John Knollmeyer, Sastry S. Duri, Canturk Isci, and Ayse K. Coskun. DeltaSherlock: Identifying Changes in the Cloud. In IEEE International Conference on Big Data, Washington, DC, pp. 763-772, December 2016.

54. Onur Sahin and Ayse K. Coskun. QScale: Thermally-Efficient QoS Management on Heterogeneous Mobile Platforms. In Proceedings of International Conference on Computer-Aided Design (ICCAD), Nov. 2016.

53. Onur Sahin and Ayse K. Coskun. Providing Sustainable Performance in Thermally Constrained Mobile Devices. In Proceedings of ACM/IEEE Embedded Systems for Real-time Multimedia (ESTIMedia), pp. 72-77, Oct. 2016. (Invited Paper)

52. Ayse K. Coskun, Anjun Gu, Warren Jin, Ajay Joshi, Andrew B. Kahng, Jonathan Klamkin, Yenai Ma, John Recchio, Vaishnav Srinivas and Tiansheng Zhang. Cross-layer Floorplan Optimization for Silicon Photonic NoCs In Many-core Systems.In Proceedings of Design, Automation and Test in Europe (DATE), pp. 1309-1314, Mar. 2016.

51. Marina Zapater, Ata Turk, Jose M. Moya, Jose L. Ayala, and Ayse K. Coskun. Dynamic workload and cooling management in High-Efficiency data centers. In Proceedings of IEEE International Green and Sustainable Computing Conference (IGSC), pp. 1-8, Dec. 2015.

50. Hao Chen, Bowen Zhang, Michael C. Caramanis, and Ayse K. Coskun. Data Center Optimal Regulation Service Reserve Provision with Explicit Modeling of Quality of Service Dynamics. In Proceedings of IEEE Conference on Decision and Control (CDC), pp. 7207-7213, Dec. 2015.

49. Hao Chen, Zhenhua Liu, Ayse K. Coskun, and Adam Wierman. Optimizing Energy Storage Participation in Emerging Power Markets. In Proceedings of IEEE International Green and Sustainable Computing Conference (IGSC), pp. 1-6, Dec. 2015.

48. Onur Sahin, Paul T. Varghese, and Ayse K. Coskun. Just Enough is More: Achieving Sustainable Performance in Mobile Devices under Thermal Limitations. In Proceedings of International Conference on Computer-Aided Design (ICCAD), pp. 839-846, Nov. 2015.

47. Charlie De Vivero, Fulya Kaplan, and Ayse K. Coskun. Experimental Validation of a Detailed Phase Change Model on a Hardware Testbed. In Proceedings of ASME International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems and ASME International Conference on Nanochannels, Microchannels, and Minichannels, pp. V001T09A086, Jul. 2015.

46. Fulya Kaplan and Ayse K. Coskun. Adaptive Sprinting: How to Get the Most Out of Phase Change Based Passive Cooling. In Proc. of International Symposium on Low Power Electronics and Design, Jul. 2015.

45. Ozan Tuncer, Vitus J. Leung and Ayse K. Coskun. PaCMap: Topology Mapping of Unstructured Communication Patterns onto Non-contiguous Allocations. In Proceedings of International Conference on Supercomputing, Jun. 2015.

44. Hao Chen, Sastry S. Duri, Vasanth Bala, Nilton T. Bila, Canturk Isci and Ayse K. Coskun. Detecting and Identifying System Changes in the Cloud via Discovery by Example. In Proceedings of IEEE International Conference on Big Data, Oct. 2014.

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43. Fulya Kaplan, Charlie De Vivero, Samuel Howes, Manish Arora, Houman Homayoun, Wayne Burleson, Dean Tullsen and Ayse K. Coskun. Modeling and Analysis of Phase Change Materials for Efficient Thermal Management. In Proceedings of IEEE International Conference on Computer Design (ICCD), Oct. 2014.

42. Ozan Tuncer, Kalyan Vaidyanathan, Kenny Gross and Ayse K Coskun. CoolBudget: Data Center Power Budgeting with Workload and Cooling Asymmetry Awareness. In Proceedings of IEEE International Conference on Computer Design (ICCD), Oct. 2014.

41. Hao Chen, Michael Caramanis, and Ayse K. Coskun. Reducing the Data Center Electricity Costs Through Participation in Smart Grid Programs. In Proceedings of International Green Computing Conference (IGCC), Nov. 2014. (invited- special session)

40. Raphael Landaverde, Tiansheng Zhang, Ayse K. Coskun, and Martin Herbordt. An Investigation of Unified Memory Access Performance in CUDA. In Proceedings of IEEE High Performance Extreme Computing Conference (HPEC), Sep. 2014.

39. Chao Chen, Tiansheng Zhang, Pietro Contu, Jonathan Klamkin, Ayse K. Coskun, and Ajay Joshi. Sharing and Placement of On-chip Laser Sources in Silicon-Photonic NoCs. In Proceedings of International Symposium on Network-on-Chip (NOCS), Sep. 2014.

38. Tiansheng Zhang, Jose Abellan, Ajay Joshi, and Ayse K. Coskun. Thermal Management of Manycore Systems with Silicon-Photonic Networks. In Proceedings of Design, Automation and Test in Europe (DATE), pp. 1-6 , Mar. 2014.

37. Hao Chen, Michael Caramanis, and Ayse K. Coskun. The Data Center as a Grid Load Stabilizer. In Proceedings of the Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 105-112, Jan. 2014. (invited- special session)

36. Hao Chen, Ayse K. Coskun, Michael Caramanis. Real-Time Power Control of Data Centers for Providing Regulation Service. In Proceedings of the Conference on Decision and Control (CDC), pp. 4314-4321, Dec. 2013.

35. Hao Chen, Can Hankendi, Michael Caramanis, Ayse K. Coskun. Dynamic Server Power Capping for Enabling Data Center Participation in Power Markets. In Proceedings of International Confrence on Computer Aided Design (ICCAD), pp. 122-129, Nov. 2013.

34. Jie Meng, Tiansheng Zhang, and Ayse K. Coskun. Dynamic Cache Pooling for Improving Energy Efficiency in 3D Stacked Multicore Processors. In Proceedings of the IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), pp. 210-215, Oct. 2013.

33. Can Hankendi, Sherief Reda, and Ayse K. Coskun. vCap: Adaptive Power Capping for Virtualized Servers. InProceedings of ACM International Symposium on Low Power Electronics and Design (ISLPED), pp. 415-420, Sept. 2013.

32. Fulya Kaplan, Jie Meng and Ayse K. Coskun. Optimizing Communication and Cooling Costs in HPC Data Centers via Intelligent Job Allocation. In Proceedings of International Green Computing Conference (IGCC), pp. 1-10, Jun. 2013.

31. Can Hankendi and Ayse K. Coskun. Energy-Efficient Server Consolidation for Multi-threaded Applications in the Cloud. In Proceedings of International Green Computing Conference (IGCC) – WiP, pp. 1-8, Jun. 2013.

30. David Mace, Wei Gao, and Ayse K. Coskun. Accelerometer-Based Hand Gesture Recognition using Feature Weighted Naïve Bayesian Classifiers and Dynamic Time Warping. In ACM International Conference on Intelligent User Interfaces (IUI), pp. 83-84, 2013.

29. Tiansheng Zhang, Alessandro Cevrero, Giulia Beanato, Panagiotis Athanasopoulos, Ayse K. Coskun and Yusuf Leblebici. 3D-MMC: A Modular 3D Multi-Core Architecture with Efficient Resource Pooling. In Proceedings of Design Automation and Test in Europe (DATE), pp. 1241-1246, Mar. 2013.

28. Marina Zapater, José L. Ayala, José M. Moya, Kalyan Vaidyanathan, Kenny Gross, and Ayse K. Coskun. Leakage and Temperature Aware Server Control for Improving Energy Efficiency in Data Centers. In Proceedings of Design Automation and Test in Europe (DATE), pp. 266-269, Mar. 2013.

27. Jie Meng, Fulya Kaplan, Mingyu Hsieh, and Ayse K. Coskun. Topology-Aware Reliability Optimization for Multiprocessor Systems. In Proceedings of IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), pp. 243-248, Sep. 2012.

26. Jie Meng, Katsutoshi Kawakami, and Ayse K. Coskun. Optimizing Energy Efficiency of 3D Multicore Systems with Stacked DRAM under Power and Thermal Constraints. In Proceedings of Design Automation Conference (DAC), pp. 648-655, 2012.

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25. Jie Meng and Ayse K. Coskun. Analysis and Runtime Management of 3D Systems with Stacked DRAM for Boosting Energy Efficiency. In Proceedings of Design Automation and Test in Europe (DATE), pp. 611-616, 2012.

24. Andrea Bartolini, MohammadSadegh Sadri, John-Nicholas Furst, Ayse K. Coskun, and Luca Benini. Quantifying the Impact of Frequency Scaling on the Energy Efficiency of the Single-Chip Cloud Computer. In Proceedings of Design Automation and Test in Europe (DATE), pp. 181-186, 2012.

23. Can Hankendi and Ayse K. Coskun. Reducing the Energy Cost of Computing through Efficient Co-Scheduling of Parallel Workloads. In Proceedings of Design Automation and Test in Europe (DATE), pp. 994-999, 2012.

22. Ming-Yu Hsieh, Jie Meng, Michael Levenhagen, Kevin Pedretti, Ayse K. Coskun, and Arun Rodrigues. SST + gem5 = A Scalable Simulation Infrastructure for High Performance Computing. In 5th International ICST Conference on Simulation Tools and Techniques (SIMUTools), pp. 196-201, 2012.

21. Ryan Cochran, Can Hankendi, Ayse K. Coskun, and Sherief Reda. Pack & Cap: Adaptive DVFS and Thread Packing Under Power Caps. In 44th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-44), pp. 175-185, 2011.

20. Ryan Cochran, Can Hankendi, Ayse K. Coskun, and Sherief Reda. Identifying the Optimal Energy-Efficient Operating Points of Parallel Workloads. In Proceedings of International Conference on Computer-Aided Design (ICCAD), pp. 608-615, 2011.

19. Chao Chen, Jie Meng, Ayse K. Coskun, and Ajay Joshi. Express Virtual Channels with Taps (EVC-T): A Flow Control Technique for Network-on-Chip (NoC) in Manycore Systems. In IEEE Hot Interconnects, Annual Symposium on High-Performance Interconnects, pp. 1-10, 2011.

18. Jie Meng, Chao Chen, Ayse K. Coskun, and Ajay Joshi. Run-time Energy Management of Manycore Systems through Reconfigurable Interconnects. In Proceedings of ACM Great Lakes Symposium on VLSI (GLSVLSI), pp. 43-48, 2011.

17. Mohamed M. Sabry, David Atienza, and Ayse K. Coskun. Thermal Analysis and Active Cooling Management for 3D MPSoCs. In IEEE International Symposium on Circuits and Systems (ISCAS), pp. 2237-2240, 2011.

16. Mohamed Sabry, Ayse K. Coskun, and David Atienza. Fuzzy Control for Enforcing Energy Efficiency in High-Performance 3D Systems. In Proceedings of International Conference on Computer Aided Design (ICCAD), pp. 642-648, 2010.

15. Ayse K. Coskun, David Atienza, Tajana Rosing, Thomas Brunschwiler, and Bruno Michel. Energy-Efficient Variable-Flow Liquid Cooling in 3D Stacked Architectures. In Proceedings of Design Automation and Test in Europe (DATE), pp. 1-6, 2010.

14. Priti Aghera, Dilip Krishnaswamy, Diana Fang, Ayse Coskun, and Tajana Rosing. DynAHeal: Dynamic Energy Efficient Task Assignment for Wireless Healthcare Systems. In Proceedings of Design Automation and Test in Europe (DATE), pp. 1661-1664, 2010.

13. Shervin Sharifi, Ayse K. Coskun, and Tajana Simunic Rosing. Hybrid Dynamic Energy and Thermal Management in Heterogeneous Embedded Multiprocessors. In Proceedings of IEEE Asia South Pacific Design Automation Conference (ASPDAC), pp. 873-878, 2010.

12. Ayse K. Coskun, Tajana Simunic Rosing, Jose Ayala, and David Atienza. Modeling and Dynamic Management of 3D Multicore Systems with Liquid Cooling. In Proceedings of the IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), pp. 60-65, 2009. Best Paper Award.

11. Francesco Zanini, Ayse K. Coskun, David Atienza and Giovanni De Micheli. Optimal Multi-Processor SoC Thermal Simulation via Adaptive Differential Equation Solvers. In Proceedings of the IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), pp. 80-85, 2009.

10. Ayse K. Coskun, Andrew B. Kahng, and Tajana Rosing. Temperature- and Cost-Aware Design of 3D Multiprocessor Architectures. In Euromicro Conference on Digital System Design (DSD), pp. 183-190, 2009.

9. Ayse K. Coskun, Richard Strong, Dean Tullsen and Tajana Rosing. Evaluating the Impact of Job Scheduling and Power Management on Processor Lifetime for Chip Multiprocessors. In SIGMETRICS/Performance 2009–Joint International Conference on Measurement and Modeling of Computer Systems, pp.169-180, 2009.

8. Ayse K. Coskun, Tajana Simunic Rosing, Jose Ayala, David Atienza and Yusuf Leblebici. Dynamic Thermal Management in 3D Multicore Architectures. In Proceedings of Design Automation and Test in Europe (DATE), pp. 1410-1415, 2009.

7. Ayse K. Coskun, Tajana Simunic Rosing and Kenny Gross. Proactive Temperature Balancing for Low Cost Thermal Management in MPSoCs. In Proceedings of International Conference on Computer-Aided Design (ICCAD), pp. 250-257,2008.

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6. Ayse K. Coskun, Tajana Simunic Rosing and Kenny Gross. Proactive Temperature Management in MPSoCs. InProceedings of International Symposium on Low Power Electronics and Design (ISLPED), pp. 165-170, 2008.

5. Ayse K. Coskun, Tajana Simunic Rosing and Kenny Gross. Temperature Management in Multiprocessor SoCs Using Online Learning. In Proceedings of Design Automation Conference (DAC), pp. 890-893, 2008.

4. Ayse K. Coskun, Tajana Simunic Rosing, Keith Whisnant and Kenny Gross. Temperature-Aware MPSoC Scheduling for Reducing Hot Spots and Gradients. In Proceedings of Asia and South Pacific Design Automation Conference (ASPDAC), pp. 49-54, 2008.

3. Ayse K. Coskun, Tajana Simunic Rosing and Keith Whisnant. Temperature Aware Task Scheduling in MPSoCs. InProceedings of Design Automation and Test in Europe (DATE), pp. 1659-1664, 2007.

2. Satish Narayanasamy, Ayse K. Coskun and Brad Calder. Transient Fault Prediction Based on Anomalies in Processor Events. In Proceedings of Design Automation and Test in Europe (DATE), pp. 1140-1145, 2007.

1. Ayse K. Coskun, Tajana Simunic Rosing, Yusuf Leblebici and Giovanni De Micheli. A Simulation Methodology for Reliability Analysis in Multi-Core SoCs. In Great Lakes Symposium on VLSI (GLSVLSI), pp. 95-99, 2006.

Workshops and Symposia Papers:

19. Aditya Narayan, Yvain Thonnart, Pascal Vivet, Cesar Fuguet Tortolero and Ayse K. Coskun. Temperature and Process Variation-Aware Wavelength Selection in Photonic NoCs. In Boston Area Architecture Workshop (BARC), Jan. 2019.

18. Tapasya Patki, Emre Ates, Ayse K. Coskun and Jayaraman J. Thiagarajan. Understanding Simultaneous Impact of Network QoS and Power on HPC Application Performance. In Computational Reproducibility at Exascale (CRE), in conjunction with SC Nov. 2018.

17. Zihao Yuan, Geoffrey Vaartstra, Prachi Shukla, Sherief Reda, Evelyn Wang, and Ayse K. Coskun. An EDA Tool for Codesigning High-Performance Processors and Emerging Cooling Technologies. In Workshop on Open-Source EDA Technology (WOSET), Oct. 2018.

16. Ayse Coskun, Furkan Eris, Ajay Joshi, Andrew B. Kahng, Yenai Ma, Saiful Mojumder and Tiansheng Zhang. Reclaiming Dark Silicon Using Thermally-Aware Chiplet Organization in 2.5D Integrated Systems. In Boston Area Architecture Workshop (BARC), Jan. 2018.

15. Aditya Narayan, Tiansheng Zhang, Shaizeen Aga, Satish Narayanasamy and Ayse K. Coskun. An Automated Framework for Memory Allocation in Heterogeneous Memory Systems. In Boston Area Architecture Workshop (BARC), 2018.

14. Trishita Tiwari, Ata Turk, Alina Oprea, Katzalin Olcoz, and Ayse K. Coskun. User-Profile-Based Analytics for Detecting Cloud Security Breaches. InIEEE Big Data Workshop on Privacy and Security of Big Data (PSBD), 2017, pp. 4529-4535.

13. Ata Turk, Hao Chen, Ozan Tuncer, Hua Li, Qingqing Li, Orran Krieger and Ayse K. Coskun. Seeing into a Public Cloud: Monitoring the Massachusetts Open Cloud. In USENIX Workshop on Cool Topics on Sustainable Data Centers (CoolDC), 2016.

12. Onur Sahin, Paul Varghese and Ayse K. Coskun. Just Enough is More: Achieving Sustainable Performance in Mobile Devices under Thermal Limitations. In Boston Area Architecture Workshop (BARC), 2016.

11. Fulya Kaplan and Ayse K. Coskun. Adaptive Sprinting for Systems with Phase Change Based Cooling. In Boston Area Architecture Workshop (BARC), 2016.

10. Tiansheng Zhang and Ayse K. Coskun. Resource Management Design in 3D-Stacked Multicore Systems for Improving Energy-Efficiency. In Boston Area Architecture Workshop (BARC), 2015.

9. Can Hankendi, Henry Hoffmann and Ayse K. Coskun. Adapt&Cap: A Framework for Unifying System and Application-level Adaptive Management. In Boston Area Architecture Workshop (BARC), 2015.

8. Can Hankendi and Ayse K. Coskun. Adaptive Power and Resource Management Techniques for Multi-threaded Workloads. In Proceedings of IEEE International Parallel and Distributed Processing Symposium — Workshops and PhD Forum, pp. 2302-2305, 2013.

7. David Mace, Wei Gao, and Ayse K. Coskun. Improving Accuracy and Practicality of Accelerometer-Based Hand Gesture Recognition. In 2nd Workshop on Interacting with Smart Objects, in conjunction with the ACM International Conference on Intelligent User Interfaces (IUI), 2013.

6. Can Hankendi and Ayse K. Coskun. Adaptive Energy-Efficient Resource Sharing for Multi-threaded Workloads in Virtualized Systems. In International Workshop on Computing in

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Heterogeneous, Autonomous ‘N’ Goal-Oriented Environments (CHANGE), in conjunction with Design Automation Conference (DAC), 2012.

5. John-Nicholas Furst and Ayse K. Coskun. Performance and Power Analysis of RCCE Message Passing on the Intel Single-Chip Cloud Computer. In 4th symposium of the Many-core Applications Research Community (MARC), December 2011.

4. Jie Meng, Daniel Rossell, and Ayse K. Coskun. 3D Systems with On-Chip DRAM for Enabling Low-Power High-Performance Computing. In Proceedings of the High Performance Embedded Computing (HPEC) Workshop, 2011. Best Paper Award.

3. Md. Ashfaquzzaman Khan, Can Hankendi, Ayse K. Coskun, and Martin C. Herbordt. Application Level Optimizations for Energy Efficiency and Thermal Stability. In Proceedings of the High Performance Embedded Computing (HPEC) Workshop, 2011.

2. Jie Meng, Daniel Rossell, and Ayse K. Coskun. Exploring performance, power, and temperature characteristics of 3D systems with on-chip DRAM. In Proceedings of IEEE International Workshop on Thermal Modeling and Management: From Chips to Data Centers (TEMM) –in conjunction with Green Computing Conference (IGCC), 2011.

1. Md. Ashfaquzzaman Khan, Can Hankendi, Ayse K. Coskun and Martin C. Herbordt. Software Optimization for Performance, Energy, and Thermal Distribution: Initial Case Studies. In Proceedings of IEEE International Workshop on Thermal Modeling and Management: From Chips to Data Centers (TEMM) –in conjunction with Green Computing Conference (IGCC), 2011.

Technical Reports and Other Articles:

3. Ozan Tuncer, Nilton Bila, Canturk Isci and Ayse K. Coskun. ConfEx: An Analytics Framework for Text-Based Software Configurations in the Cloud. IBM Research Report, 2018.

2. Natalie Bates, Ghaleb Abdulla, Girish Ghatikar, Gregory A. Koenig, Sridutt Bhalachandra, Mehdi Sheikhalishahi, Tapasya Patki, Barry Rountree, and Stephen Poole. Electrical Grid and Supercomputing Centers: An Investigative Analysis of Emerging Opportunities and Challenges. Informatik-Spektrum, April 2015, Volume 38, Issue 2, pp 111-127.Link

1. Ayse K. Coskun and Tajana Simunic Rosing. Improving Energy Efficiency and Reliability through Workload Scheduling in High-Performance Multicore Processors. DAC.COM Knowledge Center Article, 2010.LINK

Posters, Demos, and Tutorials:

3. Anthony Byrne, Sadie L. Allen, Shripad Nadgowda, and Ayse K. Coskun. Praxi: Cloud Software Discovery That Learns From Practice. In International Middleware Conference Demos and Posters (Middleware Demos and Posters ’19), Dec. 2019.

2. Burak Aksar, Benjamin Schwaller, Omar Aaziz, Emre Ates, Vitus J. Leung, Jim Brandt, Manuel Egele and Ayse K. Coskun. A Machine Learning Approach to Understanding HPC Application Performance Variation. In International Conference for HPC, Networking, Storage and Analysis (SC), Nov. 2019.

1. Onur Sahin, Assel Aliyeva, Hariharan Mathavan, Ayse Coskun, Manuel Egele. Towards Practical Record and Replay for Mobile Applications. In Proceedings of the 56th Annual Design Automation Conference (DAC) – Late Breaking Results, June 2019.

Patents:

6. Kalyan Vaidyanathan, Kenny C. Gross, David Belanger, Ayse K. Coskun. System and Method for Controlling Energy Usage in a Server. U.S. Patent 10,101,784. Issued 10/2018.

5. Ayse K. Coskun, Kenny Gross and Keith Whisnant. Temperature-Aware and Energy-Aware Scheduling in a Computer System. U.S. Patent 8,555,283. Issued 10/2013.

4. Kenny Gross, Ayse K. Coskun, Keith Whisnant and Aleksey M. Urmanov. Method and Apparatus for Controlling Temperature Variations in a Computer System. U.S. Patent 8,046,112. Issued 11/2011.

3. Ayse K. Coskun and Kenny Gross. Managing the Performance of a Computer System. U.S. Patent 7,890,298. Issued 02/2011.

2. Ayse K. Coskun, Aleksey M. Urmanov, Kenny Gross and Keith Whisnant. Workload Scheduling in Multi-Core Processors. U.S. Patent 7,716,006. Issued 05/2010.

1. Kenny Gross, Keith Whisnant and Ayse K. Coskun. Length-of-the-Curve Stress Metric for Improved Computer System Reliability Characterization. U.S. Patent 7,483,816. Issued 01/2009.

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Selected Academic Service and Memberships

Executive Committee member for IEEE Council on Electronic Design Automation (CEDA), 2014-present.

o Design Automation Conference (DAC) CEDA representative: 2017-present.

Conference organization:

o Local arrangements chair, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2020.

o Program chair, ACM/IEEE Design Automation and Test in Europe (DATE), 2018.

o Program vice chair and Design Track chair, Design Automation and Test in Europe (DATE), 2017.

o General chair, ACM Great Lakes Symposium on VLSI (GLSVLSI), 2016.

o Program chair, ACM Great Lakes Symposium on VLSI (GLSVLSI), 2015.

o Track Chair for Application Design, Design Automation and Test in Europe (DATE), 2015-2016.

o Topic chair (Green Computing Systems), Design Automation and Test in Europe (DATE), 2014.

o Topic co-chair (Green Computing Systems), Design Automation and Test in Europe (DATE), 2012-2013.

o Proceedings chair, ACM Great Lakes Symposium on VLSI (GLSVLSI), 2013.

o Local participation chair, IEEE International Parallel & Distributed Processing Symposium (IPDPS) 2013.

o Program chair, IFIP/IEEE International Conference on Very Large Scale Integration (VLSISoC), 2012.

o Workshop program co-chair, International Workshop on Adaptive Power Management with Machine Intelligence (APMMI), in conjunction with ICCAD'11.

o Workshop co-chair, Thermal modeling and Management: Chips to Datacenters Workshop, in conjunction with IEEE International Green Computing Conference (IGCC), 2011.

o Special session co-chair, IFIP/IEEE VLSISoC 2010.

Technical program committee membership:

o ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2020.

o ACM/IEEE Design Automation Conference (DAC) 2012-2014 and 2018-2020.

o MICRO-51, 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018.

o IEEE Big Data, 2013-2018.

o IEEE International Conference on Distributed Computing (ICDCS), 2017.

o IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2017.

o IEEE High Performance Extreme Computing Conference (HPEC), 2014-2017.

o IEEE/ACM International Conference on Computer Aided Design (ICCAD) 2014-2016.

o OPTICS Workshop, 2016-2017.

o IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2013-2014.

o IEEE International Conference on Computer Design (ICCD) 2012-2013.

o IFIP/IEEE VLSISoC 2011, 2013.

o ACM Great Lakes Symposium on VLSI (GLSVLSI) 2010-2014.

IEEE Council on Electronic Design Automation (CEDA) Liaison to IEEE Women in Engineering, 2012-2016.

Editorship:

o Associate Editor, IEEE Transactions on Computers, 2020-current.

o Associate Editor, IEEE Transactions on Computer Aided Design, 2016-current.

o Associate Editor, Elsevier Microelectronics Journal, 2017-2018.

o Associate Editor, IEEE Embedded Systems Letters, 2013-2015.

o Guest editor for ACM Transactions on Design Automation of Electronic Systems (TODAES), Special Issue on Adaptive Power Management for Energy and Temperature Aware Computing Systems, 2012.

IEEE Senior Member.

ACM Member.

Columnist for the Circuit Cellar magazine, writing a bi-monthly column on Green Computing, 2013-2017.

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Recent Invited Talks and Tutorials (Last 6 years - excludes conference paper presentations)

[1] “Intelligent Analytics for Improving Computer System Design”, Keynote at ESWEEK, 30th International Workshop on Rapid System Prototyping (RSP), New York, NY, 10.18.2019.

[2] “Towards Automated Operation of Computing Systems”, Brown University, RI, 10.10.2019. [3] “Towards Automated Operation of Computing Systems”, Duke University, NC, 1.11.2019. [4] “Towards Automated Analytics in the Cloud”, IBM TJ Watson Research Center, NY, 8.20.2018. [5] “System-Level Optimizations for 2.5D-Integrated Chips with Silicon-Photonic Links”, D43D Workshop, CEA-

LETI, France, 7.2.2018. [6] “Rethinking HPC Performance and the Role of Learning-Based Analytics”, HPC Day, Northeastern University,

MA, 5.18.2018. [7] “Rethinking Performance in HPC Systems: Monitoring, Analytics, and Resource Management”, 18th SIAM

Conference on Parallel Processing for Scientific Computing (Invited Special Session Talk), Japan, 3.7.2018. [8] “Diagnosing Performance Variations in HPC Applications Using Machine Learning”, National Energy

Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratories, CA, 7.24.2017. [9] “2.5D/3D Systems with Silicon Photonic NoCs: Efficient Thermal Management, Opportunities, and

Challenges”, D43D Workshop, CEA-LETI, France, 6.27.2017. [10] “Improving Performance and Efficiency of Large-Scale Computing Systems through Intelligent Analytics”,

EPFL, Switzerland, 3.20.2017. [11] “Monitoring HPC Systems for Improving Efficiency”, SIAM Conference on Computational Science and

Engineering, Atlanta, GA, 3.1.2017. [12] “Identifying Changes in the Cloud”, EPFL, Switzerland, 2.20.2017. [13] “System-Level Design Optimization for Integration with Silicon Photonics”, Dagstuhl Seminar (as part of

“Wildly Heterogeneous Post-CMOS Technologies Meet Software”), Germany, 2.7.2017. [14] “Thermal Management of Manycore Systems with Photonic NoCs”, CEA-LETI, France, 1.26.2017. [15] “DeltaSherlock: Identifying Changes in the Cloud”, ETH Zurich, Switzerland, 11.16.2016. [16] “3D Stacking for Energy Efficiency: Innovative Strategies in System Design and Management”, IBM Zurich

Research Laboratories, Switzerland, 11.8.2016. [17] “Towards Energy Efficient Computing: Intelligent Management across the Hardware-Software Stack”, ETH

Zurich, Switzerland, 9.7.2016. [18] “Identifying Changes in the Cloud”, IBM TJ Watson, NY, 8.4.2016. [19] “Towards Energy Efficient Computing: Intelligent Management across the Hardware-Software Stack”, ARM

Austin, TX, 6.6.2016. [20] “How Can EDA Help Solve Challenges in Data Center Energy Efficiency?”, Design Automation Summer

School, Design Automation Conference, Austin, TX, 6.5.2016. [21] “Thermal Management of Manycore Systems with Photonic NoCs”, OPTICS Workshop (in conjunction with

Design Automation and Test in Europe), Dresden, Germany, 3.18.2016. [22] “Scalable System and Software Discovery for a Secure and Resilient Cloud”, IBM TJ Watson, NY, 8.24.2015. [23] “Data Centers in the Smart Grid: Emerging Opportunities and Challenges”, CINECA Bologna, Italy,

7.20.2015. [24] “Towards Energy-Efficient Computing: Adaptive Management Strategies from Software to Systems”,

Barcelona Supercomputing Center, Barcelona, Spain, 7.17.2015. [25] “Towards Energy-Efficient Computing: Adaptive Management Strategies from Software to Systems”, EPFL,

Lausanne, Switzerland, 7.1.2015.

[26] “Towards Sustainable Computing: Innovative Design and Management Strategies Across the Computing Stack”, Intel, Hudson, MA, 8.26.2014.

[27] “Temperature and Workload Awareness for Achieving Energy Efficiency in Servers and Data Centers”, Oracle Labs, Belmont, CA, 6.3.2014.

[28] “Temperature and Workload Awareness for Achieving Energy Efficiency in Servers and Data Centers”, Oracle, Santa Clara, CA, 6.2.2014.

[29] “Application-Aware Power Capping and Budgeting: From Servers to Data Centers”, International Workshop on Computing in Heterogeneous, Autonomous ‘N’ Goal-Oriented Environments (CHANGE), in conjunction with Design Automation Conference (DAC), San Francisco, CA, 06.01.2014.

[30] “3D Stacking as an Enabler for Low-Power High-Performance Computing”, TechTalk at the Intersociety Conf. on Thermal and Thermomechanical Phenomena in Electronic Systems (ITHERM), Orlando, FL, 5.27.2014.

[31] “Towards Sustainable Computing: Innovative Design and Management Strategies Across the Computing Stack”, Princeton University, Princeton, NJ, 3.31.2014.

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[32] “Dynamic Heterogeneous Architectures to Address The Efficiency Crisis”, Tutorial at the IEEE Conference on Design Automation and Test in Europe (DATE) (with H. Homayoun, F. Yazdani, H. Hoffmann), Germany, 3.24.2014.

[33] “Towards Sustainable Computing: Innovative Design and Management Strategies Across the Computing Stack”, University of Massachusetts, Amherst, MA, 3.3.2014.

[34] “The Data Center as a Grid Load Stabilizer”, Caltech, Pasadena, CA, 2.21.2014.

[35] “Towards Sustainable Computing: Innovative Design and Management Strategies Across the Computing Stack”, University of Texas, Austin, TX, 2.10.2014.