Only Buffer When You Need To: Reducing On-chip GPU Traffic with Reconfigurable Local Atomic Buffers

Author:

Dalmia Preyesh1,Mahapatra Rohan2,Sinclair Matthew D.3

Affiliation:

1. University of Wisconsin-Madison

2. University of California,San Diego

3. University of Wisconsin-Madison,AMD Research

Publisher

IEEE

Reference113 articles.

1. Deep residual learning for image recognition;he;CoRR,2015

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3. Hot Chips 2017: A Closer Look At Google’s TPU v2,2017

4. Unifying Primary Cache, Scratch, and Register File Memories in a Throughput Processor;gebhart;Micro,2012

5. HRF-Relaxed

Cited by 2 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. FinePack: Transparently Improving the Efficiency of Fine-Grained Transfers in Multi-GPU Systems;2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2023-02

2. Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing;2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO);2022-10

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