Distributed, Parallel, and Cluster Computing · Computer Science
Gaining Cross-Platform Parallelism for HAL's Molecular Dynamics Package using SYCL
Viktor Skoblin, Felix Höfling, Steffen Christgau
2024-06-07
Distributed, Parallel, and Cluster Computing · Computer Science
Toward Heterogeneous, Distributed, and Energy-Efficient Computing with SYCL
Biagio Cosenza, Lorenzo Carpentieri, Kaijie Fan, Marco D'Antonio +2
2025-05-12
Distributed, Parallel, and Cluster Computing · Computer Science
GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability
Andrey Alekseenko, Szilárd Páll, Erik Lindahl
2025-09-26
Distributed, Parallel, and Cluster Computing · Computer Science
Open SYCL on heterogeneous GPU systems: A case of study
Rocío Carratalá-Sáez, Francisco J. andújar, Yuri Torres, Arturo Gonzalez-Escribano +1
2023-10-12
Distributed, Parallel, and Cluster Computing · Computer Science
Concurrent Scheduling of High-Level Parallel Programs on Multi-GPU Systems
Fabian Knorr, Philip Salzmann, Peter Thoman, Thomas Fahringer
2025-03-14
Distributed, Parallel, and Cluster Computing · Computer Science
Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with SW Sequence Alignment
Manuel Costanzo, Enzo Rucci, Carlos García-Sánchez, Marcelo Naiouf +1
2025-04-15
Machine Learning · Computer Science
Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN
Rod Burns, John Lawson, Duncan McBain, Daniel Soutar
2019-04-09
Distributed, Parallel, and Cluster Computing · Computer Science
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels
Peng Chen, Mohamed Wahib, Shinichiro Takizawa, Ryousei Takano +1
2019-09-09
Programming Languages · Computer Science
Comparing Performance and Portability between CUDA and SYCL for Protein Database Search on NVIDIA, AMD, and Intel GPUs
Manuel Costanzo, Enzo Rucci, Carlos García Sánchez, Marcelo Naiouf +1
2023-11-13
Distributed, Parallel, and Cluster Computing · Computer Science
GenVectorX: A performance-portable SYCL library for Lorentz Vectors operations
Monica Dessole, Jolly Chen, Axel Naumann
2023-12-06
Distributed, Parallel, and Cluster Computing · Computer Science
Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability
Vincent R. Pascuzzi, Mehdi Goli
2022-06-28
Performance · Computer Science
A Performance-Portable SYCL Implementation of CRK-HACC for Exascale
Esteban M. Rangel, S. John Pennycook, Adrian Pope, Nicholas Frontiere +2
2023-10-26
Distributed, Parallel, and Cluster Computing · Computer Science
Lessons Learned Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame
Jolly Chen, Monica Dessole, Ana Lucia Varbanescu
2025-01-07
Programming Languages · Computer Science
Assessing Opportunities of SYCL for Biological Sequence Alignment on GPU-based Systems
Manuel Costanzo, Enzo Rucci, Carlos García Sánchez, Marcelo Naiouf +1
2024-02-27
Distributed, Parallel, and Cluster Computing · Computer Science
A task-based data-flow methodology for programming heterogeneous systems with multiple accelerator APIs
Aleix Boné, Alejandro Aguirre, David Álvarez, Pedro J. Martinez-Ferrer +1
2026-03-02
Distributed, Parallel, and Cluster Computing · Computer Science
A Comparison of the Performance of the Molecular Dynamics Simulation Package GROMACS Implemented in the SYCL and CUDA Programming Models
L. Apanasevich, Yogesh Kale, Himanshu Sharma, Ana Marija Sokovic
2024-06-18
Hardware Architecture · Computer Science
Fast Dynamic Memory Integration in Co-Simulation Frameworks for Multiprocessor System on-Chip
O. Villa, P. Schaumont, I. Verbauwhede, M. Monchiero +1
2011-11-09
Performance · Computer Science
Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels
John Lawson, Mehdi Goli, Duncan McBain, Daniel Soutar +1
2019-04-11
Hardware Architecture · Computer Science
PIM-malloc: A Fast and Scalable Dynamic Memory Allocator for Processing-In-Memory (PIM) Architectures
Dongjae Lee, Bongjoon Hyun, Youngjin Kwon, Minsoo Rhu
2026-01-28
Machine Learning · Statistics
CYCLADES: Conflict-free Asynchronous Machine Learning
Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris Papailiopoulos +5
2016-06-01