Static code transformations for thread‐dense memory accesses in GPU computing
Author:
Affiliation:
1. College of Information and Communication EngineeringSungkyunkwan University Suwon South Korea
2. College of ComputingSungkyunkwan University Suwon South Korea
3. NHN Corporation Seongnam South Korea
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5512
Reference48 articles.
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2. HayesAB ZhangEZ.Unified on‐chip memory allocation for SIMT architecture. In: Proceedings of the 28th ACM International Conference on Supercomputing (ICS);2014;Munich Germany.
3. JiF MaX.Using shared memory to accelerate MapReduce on graphics processing units. Paper presented at: 2011 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2011;Anchorage AK.
4. Incorporating selective victim cache into GPGPU for high-performance computing
5. Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures
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