Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software
Reference276 articles.
1. Wireframe: supporting data-dependent parallelism through dependency graph execution in gpus;Abdolrashidi,2017
2. The case for gpgpu spatial multitasking;Adriaens,2012
3. N. Agarwal, D. Nellans, E. Ebrahimi, T.F. Wenisch, J. Danskin, S.W. Keckler, Selective GPU caches to eliminate CPU–GPU HW cache coherence, in: 2016 IEEE International Symposium on High Performance Computer Architecture, HPCA, 2016, pp. 494–506.
4. Neha Agarwal, David Nellans, Mike O’Connor, Stephen W. Keckler, Thomas F. Wenisch, Unlocking bandwidth for GPUs in CC-NUMA systems, in: High Performance Computer Architecture, HPCA, 2015 IEEE 21st International Symposium on, 2015.
5. Neha Agarwal, David Nellans, Mark Stephenson, Mike O’Connor, S. Keckler, Page placement strategies for GPUs within heterogeneous memory systems, in: International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS, 2015.
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