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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/
