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17th GPGPU@PPoPP 2025: Las Vegas, NV, USA
- Proceedings of the 17th Workshop on General Purpose Processing Using GPU, GPGPU 2025, Las Vegas, NV, USA, 1 March 2025. ACM 2025, ISBN 979-8-4007-1491-7
- Nafis Mustakin, Daniel Wong:
Optimizing Auto-tuning of OpenMP Offload kernels for performance and power. 1-7 - Daoxuan Xu, Le Xu, Jie Ren, Yifan Sun:
Exploring the Wafer-Scale GPUs. 8-13 - Rongcui Dong, Sreepathi Pai:
Modeling Utilization to Identify Shared-Memory Atomic Bottlenecks. 14-20 - Nicolás Meseguer, Yifan Sun, Michael Pellauer, José L. Abellán, Manuel E. Acacio:
ACTA: Automatic Configuration of the Tensor Memory Accelerator for High-End GPUs. 21-27 - Lingqi Zhang, Jiajun Huang, Sheng Di, Satoshi Matsuoka, Mohamed Wahib:
Can Tensor Cores Benefit Memory-Bound Kernels? (NO!). 28-34 - Seth Ockerman, Erin Carrier:
Evaluating Parallel Sliding Window Techniques: Algorithmic and Multi-GPU Advancements with Fast-PII. 35-41 - Kazi Asifuzzaman, Narasinga Rao Miniskar, William F. Godoy, Oscar R. Hernandez, Jeffrey S. Vetter:
Performance Impact and Trade-Offs for Tuning Key Architectural Parameters on CPU+GPU Systems. 42-47 - Mujahid Al Rafi, Kevin Chau, Hyeran Jeon:
Uncovering Detailed Power Characterizations of GPUs on Edge Platforms. 48-54 - Xiang Li, Qiong Chang, Yun Li, Jun Miyazaki:
Efficient Parallel Implementation of Non-Local Means Algorithm on GPU. 55-61

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