Topic: Programming Languages and Models

A new mathematical technique improves the computational efficiency of evaluating the solution in large-scale, high-order meshes on advanced HPC systems.

LLNL participates in the ISC High Performance Conference (ISC24) on June 10–13.

A new just-in-time compilation approach leverages LLVM intermediate representation to optimize GPU kernels with portability to any GPU architecture.

Research recognized at the HiPC IEEE conference proposes using an optimized version of OpenMP for vendor-agnostic GPU performance, portability, and scalability.

Held for the first time in a hybrid format, the multi-day MFEM workshop drew participants from around the globe.

LLNL is participating in the 36th annual Supercomputing Conference (SC24) in Atlanta on November 17–22, 2024.

LLNL’s HPC capabilities play a significant role in international science research and innovation, and Lab researchers have won 10 R&D 100 Awards in the Software–Services category in the past decade.

LLNL participates in the ISC High Performance Conference (ISC24) on May 12–16.

Compilers translate human-programmable source code into machine-readable code. Building a compiler is especially challenging in the exascale era.

The advent of accelerated processing units presents new challenges and opportunities for teams responsible for network interconnects and math libraries.

LLNL is participating in the 35th annual Supercomputing Conference (SC23), which will be held both virtually and in Denver on November 12–17, 2023.

LLNL participates in the ISC High Performance Conference (ISC23) on May 21–25.

LLNL’s archives recount the contributions of women who developed code during the Lab's early decades.

LLNL’s archives provide a glimpse into the career and contributions of a computing pioneer.

As Computing’s sixth Fernbach Fellow, postdoctoral researcher Chen Wang will work on a new I/O programming paradigm and improve HPC storage consistency models under the mentorship of Kathryn Mohror.

Highlights include MFEM community workshops, compiler co-design, HPC standards committees, and AI/ML for national security.

LLNL is participating in the 34th annual Supercomputing Conference (SC22), which will be held both virtually and in Dallas on November 13–18, 2022.

LLNL participates in the International Parallel and Distributed Processing Symposium (IPDPS) on May 30 through June 3.

LLNL participates in the ISC High Performance Conference (ISC22) on May 29 through June 2.

Each new season brings another hackathon, and Computing’s 2021 summer event took place on August 12–13.

Highlights include scalable deep learning, high-order finite elements, data race detection, and reduced order models.

Our researchers will be well represented at the virtual SIAM Conference on Computational Science and Engineering (CSE21) on March 1–5. SIAM is the Society for Industrial and Applied Mathematics with an international community of more than 14,500 individual members.

Proxy apps serve as specific targets for testing and simulation without the time, effort, and expertise that porting or changing most production codes would require.

Highlights include perspectives on machine learning and artificial intelligence in science, data driven models, autonomous vehicle operations, and the OpenMP standard 5.0.

Highlights include CASC director Jeff Hittinger's vision for the center as well as recent work with PruneJuice DataRaceBench, Caliper, and SUNDIALS.