Performance portability study of epistasis detection using sycl on nvidia gpu

Z Jin, JS Vetter - Proceedings of the 13th ACM International Conference …, 2022 - dl.acm.org
We describe the experience of converting a CUDA implementation of a high-order epistasis
detection algorithm to SYCL. The goals are for our work to be useful to application and …

Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems

M Costanzo, E Rucci, C García-Sanchez… - The Journal of …, 2024 - Springer
Bioinformatics and computational biology are two fields that have been exploiting GPUs for
more than two decades, with being CUDA the most used programming language for them …

Understanding performance portability of bioinformatics applications in sycl on an nvidia gpu

Z Jin, JS Vetter - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Our goal is to have a better understanding of performance portability of SYCL kernels on a
GPU. Toward this goal, we migrate representative kernels in bioinformatics applications from …

A comparison of two performance portability metrics

A Marowka - Concurrency and Computation: Practice and …, 2023 - Wiley Online Library
The rise in the demand for new performance portability frameworks for heterogeneous
computing systems has brought with it a number of proposals of workable metrics for …

GPU-acceleration of the distributed-memory database peptide search of mass spectrometry data

M Haseeb, F Saeed - Scientific Reports, 2023 - nature.com
Database peptide search is the primary computational technique for identifying peptides
from the mass spectrometry (MS) data. Graphical Processing Units (GPU) computing is now …

Performance portable Vlasov code with C++ parallel algorithm

Y Asahi, T Padioleau, G Latu, J Bigot… - 2022 IEEE/ACM …, 2022 - ieeexplore.ieee.org
This paper presents the performance portable implementation of a kinetic plasma simulation
code with C++ parallel algorithm to run across multiple CPUs and GPUs. Relying on the …

Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations

A Martin, G Liu, W Ladd, S Lee, J Gounley… - Proceedings of the SC' …, 2023 - dl.acm.org
Preparing for the deployment of large scientific and engineering codes on upcoming
exascale systems with GPU-dense nodes is made challenging by the unprecedented …

A Comparison of the Performance of the Molecular Dynamics Simulation Package GROMACS Implemented in the SYCL and CUDA Programming Models

L Apanasevich, Y Kale, H Sharma… - arXiv preprint arXiv …, 2024 - arxiv.org
For many years, systems running Nvidia-based GPU architectures have dominated the
heterogeneous supercomputer landscape. However, recently GPU chipsets manufactured …

Experience Deploying Graph Applications on GPUs with SYCL

Z Jin, JS Vetter - Proceedings of the 52nd International Conference on …, 2023 - dl.acm.org
SYCL allows for deployment and use of accelerators across vendors' platforms. In this work,
we describe the experience of deploying graph analytics on vendors' GPUs using SYCL. We …

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

M Costanzo, E Rucci, C García-Sánchez… - arXiv preprint arXiv …, 2024 - arxiv.org
The high-performance computing (HPC) landscape is undergoing rapid transformation, with
an increasing emphasis on energy-efficient and heterogeneous computing environments …