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ORCIDIWOCL 2023: Cambridge, UK
- Proceedings of the 2023 International Workshop on OpenCL, IWOCL 2023, Cambridge, United Kingdom, April 18-20, 2023. ACM 2023
Full Papers and Technical Presentations
- Joachim Meyer
, Aksel Alpay, Sebastian Hack, Holger Fröning, Vincent Heuveline:
Implementation Techniques for SPMD Kernels on CPUs. 1:1-1:12 - Thomas Applencourt, Brice Videau, Jefferson Le Quellec, Amanda S. Dufek, Kevin Harms, Nevin Liber, Bryce Allen, Aiden Belton-Schure:
Standardizing complex numbers in SYCL. 2:1-2:6 - Bartosz Sobol, Grzegorz Korcyl:
Particle track reconstruction on heterogeneous platforms with SYCL. 3:1 - Dylan Angus, Svetlozar Georgiev, Hector Arroyo Gonzalez, James Riordan, Paul Keir, Mehdi Goli:
Porting SYCL accelerated neural network frameworks to edge devices. 4:1 - Andy Huang:
SYCLomatic compatibility library: making migration to SYCL easier. 5:1-5:2 - Andrey Alekseenko, Szilárd Páll:
Comparing the Performance of SYCL Runtimes for Molecular Dynamics Applications. 6:1-6:2 - Aksel Alpay, Vincent Heuveline:
One Pass to Bind Them: The First Single-Pass SYCL Compiler with Unified Code Representation Across Backends. 7:1-7:12 - Gregor Daiß, Patrick Diehl, Hartmut Kaiser, Dirk Pflüger:
Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL. 8:1-8:12 - Dmitrii Tolmachev:
VkFFT and beyond - a platform for runtime GPU code generation. 9:1 - Sergi Siso, Andrew R. Porter, Rupert W. Ford:
Transforming Fortran weather and climate applications to OpenCL using PSyclone. 10:1-10:8 - Uwe Dolinsky:
Accelerating Simulink/Matlab projects with SYCL. 11:1 - Erik Tomusk, Verena Beckham:
What's New in SYCL for Safety Critical Systems. 12:1 - Adelais Mills, Rod Burns:
Tutorial: Introduction to SYCL. 13:1 - Simon John Pennycook, Ben Ashbaugh, James C. Brodman, Michael Kinsner, Steffen Larsen, Gregory Lueck, Roland Schulz, Michael Voss:
Towards Alignment of Parallelism in SYCL and ISO C++. 14:1-14:9 - Leonardo Solis-Vasquez, Edward Mascarenhas, Andreas Koch:
Experiences Migrating CUDA to SYCL: A Molecular Docking Case Study. 15:1-15:11 - Rod Burns, Hugh Delaney, Aksel Alpay, Ronan Keryell, Igor Vorobtsov:
Tutorial: SYCL Techniques and Best Practices. 16:1 - Lorenzo Carpentieri, Biagio Cosenza:
Towards a SYCL API for Approximate Computing. 17:1-17:2 - Ewan Crawford, Pablo Reble, Ben Tracy, Julian Miller:
Towards Deferred Execution of a SYCL Command Graph. 18:1-18:2 - Victor Perez, Lukas Sommer, Victor Lomüller, Kumudha Narasimhan, Mehdi Goli:
Technical Talk: A SYCL Extension for User-Driven Online Kernel Fusion. 19:1-19:2 - Cristina Quesada Peralta, Matina Maria Trompouki, Leonidas Kosmidis:
Evaluation of SYCL's Suitability for High-Performance Critical Systems. 20:1-20:11 - Victor Perez, Ettore Tiotto, Whitney Tsang, Arnamoy Bhattacharyya, Lukas Sommer, Victor Lomüller, Jefferson Le Quellec, James Brodman:
Leveraging MLIR for Better SYCL Compilation (Poster). 21:1 - Alexander Pöppl, Salvatore Cielo, Margarita Egelhofer:
Portability and Scaling of the DPEcho GR-MHD SYCL code: What's new for numerical Astrophysics in SYCL2020. 22:1
Posters
- Wenju He, Maosu Zhao, Yuxin Zou, Feng Zou:
Profile Guided Optimization Transfer-Learning for OpenCL/SYCL Kernel Compilation and Runtime. 23:1 - Marcel Breyer, Alexander Van Craen, Dirk Pflüger:
Performance Evolution of Different SYCL Implementations based on the Parallel Least Squares Support Vector Machine Library. 24:1-24:12 - Jan Solanti, Topi Leppänen, Pekka Jääskeläinen:
Open Standard Software Stack for Low Latency Offloading from Lightweight Devices to Remote Heterogeneous Platforms. 25:1 - Wenju He, Yuxin Zou, Feng Zou:
Machine Learning for Vectorization Decision in OpenCL/SYCL Kernel. 26:1 - Erwan Fabiani, Loïc Lagadec, Alexandre Skrzyniarz, Chiara Relevat, Erell Cottour, Paul Allaire:
Toward a CAD Tool for SYCL programming. 27:1-27:2 - Wenju He, Yilong Guo, Xinmin Tian, Hideki Saito, Wenwan Xing, Feng Zou, Chunyang Dai, Maosu Zhao, Haonan Yang:
Streamline Ahead-of-Time SYCL CPU Device Implementation through Bypassing SPIR-V. 28:1 - Yunyi Zhao, Yunjia Xia, Rui C. V. Loureiro, Hubin Zhao, Uwe Dolinsky, Shufan Yang:
Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset. 29:1 - Siva Rama Krishna Reddy, Hongqiang Wang, Krishna Raju Vegiraju, Balaji Calidas, Alex Bourd:
Accelerate Machine Learning Workloads using TVM and OpenCL ML SDK on Qualcomm AdrenoTM GPUs. 30:1 - Varvara Roubtsova:
Parallel Algorithm for a Hidden Markov Model with an Indefinite Number of States and Heterogeneous Observation Data. 31:1 - Christopher Gearing, Ayal Zaks:
Introduction to TTL, an Open Source Tensor and Tiling Library for OpenCL. 32:1
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