Download - ttgLlabs startupvillage presentation v1.1
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TTG ApptimizerSoftware Autotuning Toolkit
Pavel Ivanov, PhD
Co-founder and Deputy CEO, Business Development
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TTG
Apptimizer
Various processors
Different OSs
Various interfaces Any data
Problem and approach● How to boost SW performance ?● Our solution: autotuning● TTG Apptimizer
toolkit● HPC● Resource
demanding apps● GPUs● CPU+GPU
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Competitive landscapeCompetitors (indirect)
● AMD, Intel, NVIDIA – non-universal solutions
● Caps, GPUSystems, Xcelerit, StarPU,… – no optimization!
Partnership vs Competition
Our advantages
● Software optimizes itself● Universal solution● Shorter time-to-market● Less developer’s skills
Up to 300-fold performance increase*
3Traditional approach (per year)
TTG Apptimizer (once)
0 2 4 6 8 10 12 14 16
Video Streams. Optimization efforts, days
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Product and business model Licensing
Cash flowRelated services
GPUs Cost, USD1 19905 2530
10 313020 413030 513050 713075 9130
100 11130
TTG Apptimizer● Dec. 2012 – stable
commercial version● May 2013 – version 1.0.3● First sales● 10 contracts on services● FIIP certificate on SW
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Potential applications and global market (size/CAGR)
● HPC software and services
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● Big Data
● Game engines and MW
$11B in 2015 / 9%
$7B (6%) est.*
$24B in 2016 / 32%
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Team
Management: Pavel Ivanov• 20 years in IT• Management of numerous IT-projects (sofware development, marketing)• Solid expertise in w/w IT trends and market
Key developers: Maxim Krivov, Sergei Grizan, Michael Pritula
• 15+ years in software development• Dozens of projects in parallel programming, HPC, and development tools• Numerous wins in professional contests• Trainings in large IT companies• TopCoder 1611
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Investment needsInvestments
● $1.9M for● TTG Apptimizer versions
for clusters, supercomputers, and clouds
● Marketing, network of partners, sales channels
● Share up to 25%● IRR = 87%● ROI in 4 years
Exit
● Sale of a share to● Investment Foundation● Intel, AMD, NVIDIA
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