openacc highlights - february

February 2017

OPENACC MONTHLY HIGHLIGHTS

OpenACC is a directives-based programming approach to parallel computing designed for performance and portability on CPUs and GPUs.

PERFORMANCE PORTABLE PROGRAMMING MODEL FOR HPC

Powerful

LSDALTONSimulation of molecular energies

CPU GPU

1.0x

11.7x

Big PerformanceCCSD(T) Module, Alanine-3

Titan System: AMD CPU vs Tesla K20X

Spe

edup

vs

CP

U

Simple Portable

main() {

<serial code>

#pragma acc kernels

{

<parallel code>

}

}

Add Simple Compiler Hint ARM

PEZYPOWERSunwayx86 CPU

x86 Xeon PhiNVIDIA GPU

Quicker Development

Lines of Code Modified

<100 Lines

# of Weeks Required

1 Week

Learn what’s new with OpenACC this month

NEW PGI 2017 Parallel Fortran, C, C++, OpenACC Compilers and Tools

OpenACC 2.5 for Tesla P100 GPUs and multicore CPUs; CUDA 8.0 support

OpenPOWER CPU performance enhancements of 5-10%

Comprehensive C++14 support

GNU 6.2 interoperability

Additional tuned numerical intrinsic functions for Haswell and Broadwell

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3 STEPS TO MORE SCIENCE TUTORIALSimple tutorial designed to help scientists to start with GPUs using libraries and OpenACC directives.

3 Tutorial Videos:

1. Step 1: Analyze: Use a profiler to identify hot spots

2. Step 2: Parallelize: Expose Parallelism

3. Step 3: Optimize: Manage data movements

Free PGI Community EditionWATCH NOW

PAPERSAcceleration of Element-by-Element Kernel in Unstructured Implicit Low-order Finite-element Earthquake Simulation using OpenACC on Pascal GPUs

“OpenACC porting approach enables high performance with relatively low development costs. When comparing eight K computer nodes and eight NVIDIA Pascal P100 GPUs, we achieve 23.1 times speedup for the element-by-element kernel, which leads to 16.7 times speedup for the 3 x 3 block Jacobi preconditional conjugate gradient finite-element solver.”

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Oak Ridge National Lab on OpenACC being a user-driven standard: Longtime User Requests Added to Next Version of OpenACC

Five Hackathons in 2017 to Train a New Generation on GPU Accelerated Computing

ARTICLES AND BLOG POSTS

READ NOW

READ NOW

CALL FOR PAPERS

EVENT DUE DATE LINK

GPU Hackathon at Brookhaven National Lab March 15th, 2017 https://www.bnl.gov/gpuhackathon/.

2nd International Workshop on Performance Portable Programming Models for Accelerators

April 3, 2017 http://www.csm.ornl.gov/workshops/p3ma2017/

UPCOMING HACKATHONS

LOCATION DATE LINK

Forschungzentrum Juelich, Juelich, Germany March 6th - 10th https://indico-jsc.fz-juelich.de/event/32/

Brookhaven National Laboratory, Upton, NY June 5th – 9th https://www.bnl.gov/gpuhackathon/.

For complete list of Hackathons visit: https://www.olcf.ornl.gov/training-event/2017-gpu-hackathons/

FOR MORE INFORMATIONVisit OpenACC

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