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Reza Mokhtari
Reza Mokhtari
Verified email at eecg.toronto.edu
Title
Cited by
Cited by
Year
BigKernel—High Performance CPU-GPU Communication Pipelining for Big Data-style Applications
R Mokhtari, M Stumm
IPDPS, 2014
312014
Soren: Adaptive mapreduce for programmable gpus
R Mokhtari, A Abbasi, F Khunjush, R Azimi
Fourth Workshop on Programmability Issues for Multi-Core Computers …, 2011
52011
S-L1: A software-based GPU L1 cache that outperforms the hardware L1 for data processing applications
R Mokhtari, M Stumm
Proceedings of the 2015 International Symposium on Memory Systems, 121-132, 2015
12015
The SEPO Model of Computation to Enable Larger-Than-Memory Hash Tables for GPU-Accelerated Big Data Analytics
R Mokhtari, M Stumm
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
2017
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Articles 1–4