WarpPool

Author:

Kloosterman John1,Beaumont Jonathan1,Wollman Mick1,Sethia Ankit1,Dreslinski Ron1,Mudge Trevor1,Mahlke Scott1

Affiliation:

1. University of Michigan, Ann Arbor, MI

Funder

ARM, Inc.

Defense Advanced Research Projects Agency

Publisher

ACM

Reference28 articles.

1. Analyzing CUDA workloads using a detailed GPU simulator

2. M. M. Baskaran J. Ramanujam and P. Sadayappan . Automatic c-to-cuda code generation for affine programs. In R. Gupta editor Compiler Construction volume 6011 of Lecture Notes in Computer Science pages 244 -- 263 . Springer Berlin Heidelberg 2010 . 10.1007/978-3-642-11970-5_14 M. M. Baskaran J. Ramanujam and P. Sadayappan. Automatic c-to-cuda code generation for affine programs. In R. Gupta editor Compiler Construction volume 6011 of Lecture Notes in Computer Science pages 244--263. Springer Berlin Heidelberg 2010. 10.1007/978-3-642-11970-5_14

3. Rodinia: A benchmark suite for heterogeneous computing

4. Adaptive Cache Management for Energy-Efficient GPU Computing

5. Memory access coalescing

Cited by 24 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. Collaborative Coalescing of Redundant Memory Access for GPU System;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

2. A Survey on the Proposed Architectures for Efficient Execution of Irregular Applications Using Pipeline Parallelism;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24

3. VCSR: An Efficient GPU Memory-Aware Sparse Format;IEEE Transactions on Parallel and Distributed Systems;2022-12-01

4. Criticality-aware priority to accelerate GPU memory access;The Journal of Supercomputing;2022-07-06

5. Request, Coalesce, Serve, and Forget: Miss-Optimized Memory Systems for Bandwidth-Bound Cache-Unfriendly Applications on FPGAs;ACM Transactions on Reconfigurable Technology and Systems;2022-06-30

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