The OpenACC organization focuses on advancing parallel computing skills for researchers and developers through training and hackathons. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. This edition also covers a call to apply to the upcoming Open Hackathons, a case study on upskilling with EuroCC bootcamps, TPC25 recap, and the research accelerated at the Princeton University and the Helmholtz Institutes.

1. July 2025
OPENACC AND
OPEN HACKATHONS
MONTHLY HIGHLIGHTS

2. 2
WHO IS OPENACC?
The OpenACC Organization is dedicated to helping the research and
developer community advance science by expanding their accelerated
and parallel computing skills.
3 Areas of Focus
Ecosystem
Development
Training/Education
OpenACC
Specification
Participating in work that enables
and/or advances interoperability of
parallel programming models in
compilers or tools with the vision of
transitioning to standard language
parallelism.
Managing one of the leading
hackathon series, our events have
been instrumental in training
thousands of domain experts and
accelerating over 550 scientific
applications using a variety of
programming models and tools.
Developing and utilizing the
OpenACC directives-based
programming model to port,
accelerate, or optimize scientific
applications.

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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

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PROPOSE A TALK
This year's OAC Summit is focused on "Crossroads: AI + HPC"
exploring how the convergence is transforming science.
Propose a talk to highlight your innovative work and showcase
exciting methodologies used in modern research!
Open Call: Submit Your Talk
2025 Open Accelerated Computing Summit

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UPCOMING OPEN HACKATHONS & BOOTCAMPS
COMPLETE LIST OF EVENTS
Event Call Closes Event Date
NCHC NCKU Digital Biology Bootcamp August 21, 2025 September 4, 2025
Dell Agentic AI Bootcamp September 17, 2025 October 9, 2025
India Open Hackathon August 19, 2025 September 18, 23-26, 2025
EuroCC AI Hackathon August 19, 2025 October 14, 21-23, 2025
NCHC Open Hackathon October 1, 2025 October 22-November 12, 2025
Onsite and Digital: Our events offer in-person, digital and hybrid formats!

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READ BLOG
In partnership with OpenACC Organization and NVIDIA,
EuroCC National Competence Centres hosted a series of
bootcamps ranging from GPU programming fundamentals to
advanced multi-GPU profiling for AI codes to train over 600
participants.
Learn how the bootcamps upskilled researchers, developers
and engineers to tackle new challenges in their real-life
projects at the upcoming EuroCC AI Hackathon.
Boosting Hands-on Skills
EuroCC Hosts Series of Bootcamps

7. 7
SEE THE RECAP
TPC25 opens with an examination of how science is
evolving alongside advances in AI and high performance
computing, ushering in new tools and approaches that are
reshaping scientific work across domains.
Opening Plenary
TPC25 Conference

8. 8
LEARN MORE
Princeton University hosted its seventh Open Hackathon,
bringing together nine teams collaborating to make research
software run faster and more efficiently.
Speeding Research
Princeton Open Hackathon

9. 9
READ THE ARTICLE
Now firmly established as a highlight of their calendar, Jülich
Supercomputing Centre (JSC) hosted the 2025 Helmholtz GPU
Hackathon, bringing together 52 researchers, developers, and
data scientists to optimize and accelerate complex applications
in preparation for the JUPITER exascale machine.
Hacking Towards JUPITER
Helmholtz GPU Hackathon 2025

10. 10
Paper: A fast flood inundation model with groundwater
interactions and hydraulic structures
By Brett F. Sanders, Jochen E. Schubert, Eva-Marie H. Martin,
Shichen Wang, Michael C.Sukop, and Katharine J. Mach
RESOURCES
To efficiently predict flooding caused by intense rainfall (pluvial flooding), many physics-based flood inundation
models adopt simplistic parameterizations of infiltration such as the Kostiakov, Horton, Soil Conservation Service
and Green-Ampt methods. However, these methods are not explicitly dependent on soil moisture (or the
groundwater table height), which is known to strongly influence the amount of runoff generated by rainfall. Models
that fully couple surface and groundwater flow equations offer an alternative approach, but require larger amounts
of input data and greater computational effort. Here we present a fast flood inundation model that couples
two-dimensional shallow-water equations for surface flow with a zero-dimensional, time-dependent groundwater
equation to capture sensitivity to groundwater. The model is also configured to account for storm drains, pumping
and gates so human influences on flooding can be resolved, and is implemented with a dual-grid finite-volume
scheme and with OpenACC directives for execution on graphical processing units (GPUs). With a 1.5 m
resolution application across a 1,000 km^2 area in Miami, Florida, where pluvial flooding is sensitive to depth to
groundwater and simulation models that accurately reproduce observed flooding are needed to explore and plan
response options, we first show that hourly water levels are predicted with a Mean Absolute Error of 8–16 cm
across six canal gaging stations where flows are affected by tides, pumping, gate operations, and rainfall runoff.
READ PAPER

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RESOURCES
Since 2010, the International HPC Summer School (IHPCSS) has trained more than 1,500 graduate
students and early-career researchers in high-performance computing (HPC). Originally a
European-US collaboration, it now includes Japan, Canada, Australia and South Africa, and serves
around 80 students and 40 staff each year. This paper examines the evolution of the technical
program, which initially focused on domain-specific scientific applications and MPI/OpenMP
programming, but later expanded to include emerging technologies like GPU acceleration, Python for
HPC, big data analytics,and AI/ML. It also discusses the challenges IHPCSS faced - technical,
logistical, and demographic - and how they were addressed through real-time HPC access,
mentorship, and adaptable sessions for mixed-skill audiences. IHPCSS continues to provide inclusive
and high-quality trainings around the world by integrating new technologies and responding to
participant feedback, while maintaining the core principles of HPC.
READ PAPER
Paper: Fifteen Years of International HPC Summer
School
By Scott Callaghan, Weronika Filinger, Ilya Zhukov, Hermann
Lederer, and John Urbanic

12. 12
RESOURCES
Enhancing Artificial Intelligence (AI) training environments at higher education institutions like the
Georgia Institute of Technology (GT) can significantly strengthen development of the next generation
of AI professionals. AI workflows frequently require access to GPU-accelerated computing resources,
typically provided by campus research computing services such as GT’s Partnership for an Advanced
Computing Environment (PACE). To reduce barriers to accessing GPU resources for AI development,
PACE has implemented several initiatives, including the integration of the Ollama + Jupyter workflow
and the End-to-End Large Language Models (LLM) tutorial, within the High Performance Computing
(HPC) web frontend, Open OnDemand (OOD). These workflows are currently available to GT
researchers and students, enabling them to launch AI workflows through a user-friendly web interface,
thereby significantly lowering the technical entry point. We share this implementation with the broader
research computing community to support the growing institutional demand for scalable and
accessible AI training infrastructure.
READ PAPER
Paper: Supporting AI Workflows and Training
with Open OnDemand
By Fang Liu, Ronald Rahaman, Daniel Bartilson,
Rachel Lombardi, Jeffrey Valdez, and Anisha Tripathi

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RESOURCES
Documentation: OpenACC Programming
And Best Practices Guide
VIEW GUIDE
Explore a wealth of resources for writing portable code,
assessing application performance, and understanding
and exploring the OpenACC directives-based
programming model for parallelization and accelerated
computing.
This guide covers the OpenACC directives syntax,
profiling, parallelizing and optimizing loops, handling data,
interoperability and advanced features of the specification.

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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.

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