Lossless and lossy memory I/O link compression for improving performance of GPGPU workloads-Reference-Cited by-同舟云学术

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Lossless and lossy memory I/O link compression for improving performance of GPGPU workloads

Published:2012 Issue: Volume: Page:
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Container-title:Proceedings of the 21st international conference on Parallel architectures and compilation techniques - PACT '12
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Author:

Sathish Vijay,Schulte Michael J.,Kim Nam Sung

Publisher

ACM Press

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Beyond Compression Ratio: A Throughput Analysis of Memory Compression Techniques for GPUs;2023 IEEE 41st International Conference on Computer Design (ICCD);2023-11-06

2. DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems;Proceedings of the ACM on Measurement and Analysis of Computing Systems;2023-02-27

3. L ² C: Combining Lossy and Lossless Compression on Memory and I/O;ACM Transactions on Embedded Computing Systems;2022-01-14

4. MemSZ;ACM Transactions on Architecture and Code Optimization;2020-12-31

5. Improved data transfer efficiency for scale‐out heterogeneous workloads using on‐the‐fly I/O link compression;Concurrency and Computation: Practice and Experience;2020-12

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