Improving Map-Reduce for GPUs with cache | Semantic Scholar
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The results show that the performance of the applications with MR framework does not decline much if the reconfigurable cache of modern GPUs is utilised ...
Improving Map-Reduce for GPUs with cache - Inderscience Online
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Jul 9, 2015 · Applications need specific or custom optimisations to completely exploit the compute capabilities of the underlying hardware.
Oct 22, 2024 · Applications need specific or custom optimisations to completely exploit the compute capabilities of the underlying hardware.
Article: Improving Map-Reduce for GPUs with cache Journal ...
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The primary objective of this work is to reduce the performance gap between MR and native compute unified device architecture (CUDA) implementation of the ...
Oct 30, 2014 · I am processing a huge amount of data. I have a MapFile that needs to be cached. The size of this file is 1 GB now but I expect it to grow eventually.
Missing: GPUs | Show results with:GPUs
Mar 6, 2023 · This post walks through the fundamentals of hash maps and how their memory access patterns make them well suited for GPU acceleration.
Bibliographic details on Improving Map-Reduce for GPUs with cache.
Dec 5, 2022 · map with multiprocessing can be an issue for in-memory datasets due to data being copied to the subprocesses.
In this paper, we propose a new implementation of MapReduce for GPUs, which is very effective in utilizing shared memory, a small programmable cache on modern ...
In this paper, we propose a new implementation of MapReduce for GPUs, which is very effective in utilizing shared memory, a small programmable cache on modern ...