Understanding Parallelization Tradeoffs for Linear Pipelines-Reference-Cited by-同舟云学术

Understanding Parallelization Tradeoffs for Linear Pipelines

Published:2018-02-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Workshop on Programming Models and Applications for Multicores and Manycores
language:
Short-container-title:

Author:

Mastoras Aristeidis¹,Gross Thomas R.¹

Affiliation:

1. Department of Computer Science, ETH Zurich, Zurich, Switzerland

Funder

Swiss National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3178442.3178443

Reference28 articles.

1. 2006. Standard Performance Evaluation Corporation (SPEC). (2006). https://www.spec.org 2006. Standard Performance Evaluation Corporation (SPEC). (2006). https://www.spec.org

2. 2015. Parallel BZIP2 (PBZIP2) Data Compression Software. (2015). http://compression.ca/pbzip2 2015. Parallel BZIP2 (PBZIP2) Data Compression Software. (2015). http://compression.ca/pbzip2

3. Christian Bienia. 2011. Benchmarking Modern Multiprocessors. Ph.D. Dissertation. Princeton University. Christian Bienia. 2011. Benchmarking Modern Multiprocessors. Ph.D. Dissertation. Princeton University.

4. Christian Bienia and Kai Li. 2012. Characteristics of Workloads Using the Pipeline Programming Model. In Revised selected papers from the 3rd Workshop on Emerging Applications and Many-Core Architecture held in conjunction with the 37th International Symposium on Computer Architecture (ISCA '10). 161--171. 10.1007/978-3-642-24322-6_14 Christian Bienia and Kai Li. 2012. Characteristics of Workloads Using the Pipeline Programming Model. In Revised selected papers from the 3rd Workshop on Emerging Applications and Many-Core Architecture held in conjunction with the 37th International Symposium on Computer Architecture (ISCA '10). 161--171. 10.1007/978-3-642-24322-6_14

5. HELIX

Cited by 7 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. A snapshot of parallelism in distributed deep learning training;Revista Colombiana de Computación;2024-06-30

2. An Efficient Task-Parallel Pipeline Programming Framework;Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region;2024-01-18

3. Accelerating Spark-Based Applications with MPI and OpenACC;Complexity;2021-07-21

4. Chunking for Dynamic Linear Pipelines;ACM Transactions on Architecture and Code Optimization;2019-12-31

5. Load-balancing for load-imbalanced fine-grained linear pipelines;Parallel Computing;2019-07