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ORCID10th GPGPU@PPoPP 2017: Austin, TX, USA
- Proceedings of the General Purpose GPUs, GPGPU@PPoPP, Austin, TX, USA, February 4-8, 2017. ACM 2017, ISBN 978-1-4503-4915-4
- Zhiting Zhu
, Sangman Kim, Yuri Rozhanski, Yige Hu, Emmett Witchel, Mark Silberstein:
Understanding The Security of Discrete GPUs. 1-11 - Leiming Yu, Abraham Goldsmith, Stefano Di Cairano:
Efficient Convex Optimization on GPUs for Embedded Model Predictive Control. 12-21 - Yuan Wen, Michael F. P. O'Boyle:
Merge or Separate?: Multi-job Scheduling for OpenCL Kernels on CPU/GPU Platforms. 22-31 - Andrew S. D. Lee, Tarek S. Abdelrahman:
Launch-Time Optimization of OpenCL GPU Kernels. 32-41 - Azzam Haidar, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra:
High-performance Cholesky factorization for GPU-only execution. 42-52 - Tristan Vanderbruggen, John Cavazos, Chunhua Liao, Daniel J. Quinlan:
Directive-based tile abstraction to distribute loops on accelerators. 53-62 - Shi Dong, David R. Kaeli:
DNNMark: A Deep Neural Network Benchmark Suite for GPUs. 63-72 - Israt Nisa, Aravind Sukumaran-Rajam, Rakshith Kunchum, P. Sadayappan:
Parallel CCD++ on GPU for Matrix Factorization. 73-83
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