February 2023
OPENACC AND
OPEN HACKATHONS
MONTHLY HIGHLIGHTS

2
WHAT IS OPENACC?
main()
{
<serial code>
#pragma acc kernels
{
<parallel code>
}
}
Add Simple Compiler Directive
POWERFUL & PORTABLE
Directives-based
programming model for
parallel
computing
Designed for
performance and
portability on
CPUs and GPUs
SIMPLE
Open Specification Developed by OpenACC Organization

3
silica IFPEN, RMM-DIIS on P100
OPENACC SPECIFICATION MOMENTUM
Wide Adoption Across Key HPC Codes
ANSYS Fluent
Gaussian
VASP
LSDalton
MPAS
GAMERA
GTC
XGC
ACME
FLASH
COSMO
Numeca
400+ APPS* USING OPENACC
Prof. Georg Kresse
Computational Materials Physics
University of Vienna
For VASP, OpenACC is the way forward for GPU
acceleration. Performance is similar to CUDA, and
OpenACC dramatically decreases GPU
development and maintenance efforts. We’re
excited to collaborate with NVIDIA and PGI as an
early adopter of Unified Memory.
“ “
VASP
Top Quantum Chemistry and Material Science Code
* Applications in production and development

4
VIEW TIMELINE
Take a ride down memory lane and look at the key
milestones in the development of the OpenACC specification
and supporting tools over the years.
OPENACC DEVELOPMENT TIMELINE
View the Community-Driven Progress
“OpenACC made it practical to develop for GPU-based
hardware while retaining a single source for almost all
the COSMO physics code.”
Dr. Oliver Fuhrer
Senior Scientist
MeteoSwiss

5
UPCOMING OPEN HACKATHONS & BOOTCAMPS
COMPLETE LIST OF EVENTS
Event Call Closes Event Date
KISTI AI for Science Bootcamp April 3, 2023 April 11-12, 2023
NCI N-Ways to GPU Programming Bootcamp April 4, 2023 April 13-14, 2023
EuroCC AI for Science Bootcamp March 28, 2023 April 17-18, 2023
NCI End-to-End AI for Science Bootcamp April 10, 2023 April 19-21, 2023
NVIDIA/HLRS SciML GPU Bootcamp April 5, 2023 April 26-27, 2023
MPCDF AI for Science April 25, 2023 May 11-12, 2023
EuroCC N-Ways to GPU Programming Bootcamp April 24, 2023 May 15-16, 2023
CINECA Open Hackathon March 26, 2023 June 12, 19-21, 2023
Princeton Open Hackathon April 5, 2023 June 14, 21-23, 2023
Digital in 2023: Our virtual events continue to offer the same high-touch training and mentorship without the
hassle of travel!

6
READ ARTICLE
Georgia Tech hosted a virtual open hackathon for
participants across academia, national laboratories, and
industry to advance and test ongoing software on powerful
HPC hardware. On the final day, teams presented research
showcasing insightful applications in physics, medicine,
computer science, and more.
GEORGIA TECH HOSTS HACKATHON
Interdisciplinary Teams Optimize Software
“This hackathon was absolutely worth it. It was a great
learning experience and the potential application that we
developed for our program is enormous.”
Ruijia Wang
Ph.D. Student, School of Civil and Environmental Engineering
Georgia Institute of Technology

7
LEARN MORE
For those building new innovations and pushing the
envelope of research using AI and HPC, having the right
set of tools, training, and support makes all the difference
in the quest for success. As a partner of the global Open
Hackathons program, NVIDIA can help.
Learn how NVIDIA's Developer Program supports the
research and developer community by providing access
to the latest tools and technology, offering training on
their most recent products, and sharing expert help when
it’s needed.
NVIDIA REGISTERED DEVELOPER PROGRAM
Tools, Training, and Expertise

8
LISTEN NOW
Listen to Satoshi Matsuoka from RIKEN Center for
Computational Science (R-CCS) and Torsten Hoefler
from ETH Zurich offer their thoughts on 12 important
topics as outlined in their future-looking paper entitled
“Myths and Legends in High-Performance Computing”
that challenges common lines of thought they say have
become, to varying degrees, accepted wisdom in HPC,
helping to formulate questions and initiate important
discussions.
ON MYTHS AND LEGENDS OF HPC
@HPCPodcast Interviews S. Matsuoka and T. Hoefler

9
RESOURCES
According to estimates, between 10 and 25% of the grain crop is lost in the
post-harvest. The correct drying of the beans is one of the actions to contain this
loss. Drying grains is one of the most critical steps in grain processing for its
proper conservation after harvest. As the grain mass is a set of solid and empty
spaces (holes) through which a fluid can pass, its drying could be considered a
problem of the coupled open-porous medium. In this paper, we propose a
mathematical and computer simulation model which describes the convection in
a free flow with a porous obstacle applied to the grain drying processing. A
computational fluid dynamics scheme was implemented in FORTRAN using
Finite Volume to simulate and compute the numerical solutions. The code is
parallel implemented using OpenMP (loop and teams approach) and OpenACC
programming interfaces. We use three case studies with different mesh sizes to
evaluate the implementations. As a result, there was a reduction in processing
time in the cases. The total simulation time for a multicore architecture (16
physical cores) was 6,14 times less using parallel loops and 8.5 using parallel
teams, and 8.38 using a single GPU (Quadro M5000)
READ PAPER
Paper: Parallel OpenMP and OpenACC Porous
Media Simulation
Hígor Uélinton da Silva, Natiele Lucca, Claudio Schepke,
Dalmo Paim de Oliveira, and César Flaubiano da Cruz
Cristaldo
Figure 6

10
RESOURCES
OpenACC is designed to offer performance portability across CPUs
with SIMD extensions and accelerators based on GPU or manycore
architecture. We are working on the design of OpenACC compiler for
A64FX manycore processor with Arm SVE. We use a source-to-
source compiler infrastructure, Omni compiler, to generate the code
with OpenMP SIMD directive and generate a translated code in
OpenCL which is executed by OpenCL runtime for CPUs. We expect
OpenACC to be used to exploit different levels of parallelism for
NUMA node, cores in a NUMA node and SIMD vector by Arm SVE in
A64FX manycore processor, more than conventional flat OpenMP
parallel loops. The preliminary results of our source-to-source
transformation with OpenMP SIMD directive is presented.
READ PAPER
Paper: OpenACC Execution Models for Manycore
Processor with ARM SVE
Mitsuhisa Sato and Miwako Tsuji
Figure 1. Block diagram of A64FX manycore processor.

11
RESOURCES
Website: OpenHackathons.org
Technical Resources
VISIT SITE
Explore a wealth of resources for parallelization and
accelerated computing across HPC, AI and Big Data.
Review a collection of videos, presentations, GitHub
repos, tutorials, libraries, and more to help you advance
your skills and expand your knowledge.

12
STAY IN THE KNOW: JOIN THE COMMUNITY
OPENACC AND HACKATHON UPDATES
JOIN TODAY
The OpenACC Organization is dedicated to
helping the research and developer community
advance science by expanding their accelerated
and parallel computing skills.
Take an active role in influencing the future of both
the OpenACC specification and the organization
itself by becoming a member of the community.
Keep abreast of the new tools, latest resources,
recent research, and upcoming events.

WWW.OPENACC.ORG
Learn more at