Coherence-Free Multiview
Author:
Affiliation:
1. Computer Science Department, North Carolina State University, Raleigh, NC, USA
Funder
DOE
Google
NSF
IBM
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2925426.2926277
Reference29 articles.
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2. G. Chen B. Wu D. Li and X. Shen "Porple: An extensible optimizer for portable data placement on gpu " in Proceedings of the 47th International Conference on Microarchitecture 2014. 10.1109/MICRO.2014.20 G. Chen B. Wu D. Li and X. Shen "Porple: An extensible optimizer for portable data placement on gpu " in Proceedings of the 47th International Conference on Microarchitecture 2014. 10.1109/MICRO.2014.20
3. Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures
4. The Scalable Heterogeneous Computing (SHOC) benchmark suite
5. M. Kulkarni M. Burtscher K. Pingali and C. Cascaval "Lonestar: A suite of parallel irregular programs " in Proceedings of IEEE International Symposium on Performance Analysis of Systems and Software 2009. M. Kulkarni M. Burtscher K. Pingali and C. Cascaval "Lonestar: A suite of parallel irregular programs " in Proceedings of IEEE International Symposium on Performance Analysis of Systems and Software 2009.
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1. Intelligent Data Placement on Discrete GPU Nodes with Unified Memory;Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques;2020-09-30
2. ProfDP;Proceedings of the 2018 International Conference on Supercomputing;2018-06-12
3. EffiSha;Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming;2017-01-26
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