Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Godoy, William F"'
Autor:
Godoy, William F., Valero-Lara, Pedro, Anderson, Caira, Lee, Katrina W., Gainaru, Ana, da Silva, Rafael Ferreira, Vetter, Jeffrey S.
We evaluate Julia as a single language and ecosystem paradigm powered by LLVM to develop workflow components for high-performance computing. We run a Gray-Scott, 2-variable diffusion-reaction application using a memory-bound, 7-point stencil kernel o
Externí odkaz:
http://arxiv.org/abs/2309.10292
Autor:
Valero-Lara, Pedro, Huante, Alexis, Lail, Mustafa Al, Godoy, William F., Teranishi, Keita, Balaprakash, Prasanna, Vetter, Jeffrey S.
We evaluate the use of the open-source Llama-2 model for generating well-known, high-performance computing kernels (e.g., AXPY, GEMV, GEMM) on different parallel programming models and languages (e.g., C++: OpenMP, OpenMP Offload, OpenACC, CUDA, HIP;
Externí odkaz:
http://arxiv.org/abs/2309.07103
Autor:
Godoy, William F., Hahn, Steven E., Walsh, Michael M., Fackler, Philip W., Krogel, Jaron T., Doak, Peter W., Kent, Paul R. C., Correa, Alfredo A., Luo, Ye, Dewing, Mark
We provide an overview of the software engineering efforts and their impact in QMCPACK, a production-level ab-initio Quantum Monte Carlo open-source code targeting high-performance computing (HPC) systems. Aspects included are: (i) strategic expansio
Externí odkaz:
http://arxiv.org/abs/2307.11502
Autor:
Godoy, William F., Valero-Lara, Pedro, Teranishi, Keita, Balaprakash, Prasanna, Vetter, Jeffrey S.
We evaluate AI-assisted generative capabilities on fundamental numerical kernels in high-performance computing (HPC), including AXPY, GEMV, GEMM, SpMV, Jacobi Stencil, and CG. We test the generated kernel codes for a variety of language-supported pro
Externí odkaz:
http://arxiv.org/abs/2306.15121
Autor:
Godoy, William F., Valero-Lara, Pedro, Dettling, T. Elise, Trefftz, Christian, Jorquera, Ian, Sheehy, Thomas, Miller, Ross G., Gonzalez-Tallada, Marc, Vetter, Jeffrey S., Churavy, Valentin
We explore the performance and portability of the high-level programming models: the LLVM-based Julia and Python/Numba, and Kokkos on high-performance computing (HPC) nodes: AMD Epyc CPUs and MI250X graphical processing units (GPUs) on Frontier's tes
Externí odkaz:
http://arxiv.org/abs/2303.06195
Autor:
Godoy, William F., Arora, Ritu, Beattie, Keith, Bernholdt, David E., Bratt, Sarah E., Katz, Daniel S., Laguna, Ignacio, Maji, Amiya K., Thakur, Addi Malviya, Mudafort, Rafael M., Sukhija, Nitin, Rouson, Damian, Rubio-González, Cindy, Vahi, Karan
The Better Scientific Software Fellowship (BSSwF) was launched in 2018 to foster and promote practices, processes, and tools to improve developer productivity and software sustainability of scientific codes. BSSwF's vision is to grow the community wi
Externí odkaz:
http://arxiv.org/abs/2211.07436
Autor:
Churavy, Valentin, Godoy, William F, Bauer, Carsten, Ranocha, Hendrik, Schlottke-Lakemper, Michael, Räss, Ludovic, Blaschke, Johannes, Giordano, Mosè, Schnetter, Erik, Omlin, Samuel, Vetter, Jeffrey S., Edelman, Alan
The Julia programming language has evolved into a modern alternative to fill existing gaps in scientific computing and data science applications. Julia leverages a unified and coordinated single-language and ecosystem paradigm and has a proven track
Externí odkaz:
http://arxiv.org/abs/2211.02740
Autor:
Godoy, William F
This paper shares a perspective for the research software engineering (RSE) community to navigate the National Laboratory landscape. The RSE role is a recent concept that led to organizational challenges to place and evaluate their impact, costs and
Externí odkaz:
http://arxiv.org/abs/2209.02610
The present work investigates the modeling of pre-exascale input/output (I/O) workloads of Adaptive Mesh Refinement (AMR) simulations through a simple proxy application. We collect data from the AMReX Castro framework running on the Summit supercompu
Externí odkaz:
http://arxiv.org/abs/2206.00108
Autor:
Bernholdt, David E, Doucet, Mathieu, Godoy, William F, Malviya-Thakur, Addi, Watson, Gregory R
Publikováno v:
ICCS 2022, SE4Science Workshop
In the search for a sustainable approach for software ecosystems that supports experimental and observational science (EOS) across Oak Ridge National Laboratory (ORNL), we conducted a survey to understand the current and future landscape of EOS softw
Externí odkaz:
http://arxiv.org/abs/2204.05896