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ORCIDIWOCL 2024: Chicago, IL, USA
- Proceedings of the 12th International Workshop on OpenCL and SYCL, IWOCL 2024, Chicago, IL, USA, April 8-11, 2024. ACM 2024
- Luigi Crisci
, Lorenzo Carpentieri, Peter Thoman, Aksel Alpay, Vincent Heuveline, Biagio Cosenza:
SYCL-Bench 2020: Benchmarking SYCL 2020 on AMD, Intel, and NVIDIA GPUs. 1:1-1:12 - Topi Leppänen, Joonas Multanen, Leevi Leppänen, Pekka Jääskeläinen:
Towards Efficient OpenCL Pipe Specification for Hardware Accelerators. 2:1-2:8 - Peter Thoman, Fabian Knorr, Luigi Crisci:
SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance. 3:1-3:12 - Daniel Arndt, Damien Lebrun-Grandié, Christian Trott:
Experiences with implementing Kokkos' SYCL backend. 4:1-4:11 - Aksel Alpay, Vincent Heuveline:
AdaptiveCpp Stdpar: C++ Standard Parallelism Integrated Into a SYCL Compiler. 5:1-5:12 - Kaan Olgu, Tobias Kenter, José L. Núñez-Yáñez, Simon McIntosh-Smith:
Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures. 6:1-6:11 - Brian Homerding, Arturo Vargas, Tom Scogland, Robert Chen, Mike Davis, Rich Hornung:
Enabling RAJA on Intel GPUs with SYCL. 7:1-7:10 - Nathan S. Nichols, J. Taylor Childers, Tyler James Burch, Laurence Field:
Improving Performance Portability of the Procedurally Generated High Energy Physics Event Generator MadGraph Using SYCL. 8:1-8:8 - Gianmarco Accordi, Davide Gadioli, Gianluca Palermo, Luigi Crisci, Lorenzo Carpentieri, Biagio Cosenza, Andrea Rosario Beccari:
Unlocking performance portability on LUMI-G supercomputer: A virtual screening case study. 9:1-9:4 - Marcel Breyer, Alexander Van Craen, Dirk Pflüger:
Evaluation of SYCL's Different Data Parallel Kernels. 10:1-10:4 - Jolly Chen, Monica Dessole, Ana Lucia Varbanescu:
Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame. 11:1-11:2 - Hugh Delaney, Nicolas Miller, Gordon Brown, Tadej Ciglaric:
Extending SYCL host_task for Asynchronous Interop. 12:1-12:2 - Wenwan Xing, Wenju He, Xinmin Tian:
An Efficient Approach to Resolving Stack Overflow of SYCL Kernel on Intel® CPUs. 13:1 - Ziran Zhang, Zhiming Wang, Chenwei Sun, Andy Huang:
Smoothing the Migration from CUDA to SYCL: SYCLomatic Utility Features. 14:1-14:2 - Yang Zhao, Wenju He, Yingcong Wu, Maosu Zhao, Ge Jin, Chunyang Dai:
Unified AddressSanitizer Framework for SYCL Kernel on CPU and GPU Device. 15:1 - Andy Huang, Zhiming Wang, Wenhui Ni, Sheng Chen, Nithin George:
CodePin: An Instrumentation-Based Debug Tool of SYCLomatic. 16:1-16:2 - Ioanna-Maria Panagou, Nikolaos Bellas, Lorenzo Moneta, Sanjiban Sengupta:
Accelerating Machine Learning Inference on GPUs with SYCL. 17:1-17:2 - Peizhao Qiu, Danial Chitnis:
Ray Tracer based lidar simulation using SYCL. 18:1-18:2 - Skyler Szot, Hongqiang Wang, Alexander Angus:
Optimization of Fast Fourier Transform for Qualcomm Adreno Graphics Processing Unit. 19:1-19:2 - Yosang Jeong, Hoon Ryu:
Acceleration of Quantum Transport Simulations with OpenCL. 20:1 - Victor Perez, Victor Lomüller, Lukas Sommer, Julian Oppermann, Romain Biessy, Tadej Ciglaric, Mehdi Goli:
On Demand Specialization of SYCL Kernels with Specialization Constant Length Allocations (SCLA). 21:1-21:2 - Robert Mueller-Albrecht:
SYCLomatic: SYCL Adoption for Everyone - Moving from CUDA to SYCL Gets Progressively Easier: Advanced Migration Considerations. 22:1-22:2
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last updated on 2024-11-15 19:20 CET by the dblp team
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