GOPipe
Author:
Affiliation:
1. University of Seoul, Seoul, South Korea
2. Alibaba Group, Hangzhou, China
3. North Carolina State University, Raleigh, NC, USA
4. Tsinghua University, Beijing, China
Funder
Beijing Academy of Artificial Intelligence
National Research Foundation of Korea
Beijing Natural Science Foundation
National Key R&D Program of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3410463.3414656
Reference41 articles.
1. Learning to optimize halide with tree search and random programs
2. Understanding the efficiency of ray traversal on GPUs
3. Cost-driven thread coarsening for GPU kernels
Cited by 10 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. Adaptive Auto-Tuning Framework for Global Exploration of Stencil Optimization on GPUs;IEEE Transactions on Parallel and Distributed Systems;2024-01
2. Hybridhadoop: CPU-GPU hybrid scheduling in hadoop;Cluster Computing;2023-11-21
3. RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns;Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4;2023-03-25
4. EPSILOD: efficient parallel skeleton for generic iterative stencil computations in distributed GPUs;The Journal of Supercomputing;2023-01-14
5. A Memory-efficient Hybrid Parallel Framework for Deep Neural Network Training;IEEE Transactions on Parallel and Distributed Systems;2023
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