Transparent Avoidance of Redundant Data Transfer on GPU-enabled Apache Spark-Reference-Cited by-同舟云学术

Transparent Avoidance of Redundant Data Transfer on GPU-enabled Apache Spark

Published:2018-02-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th Workshop on General Purpose GPUs
language:
Short-container-title:

Author:

Asai Ryo¹,Okita Masao¹,Ino Fumihiko¹,Hagihara Kenichi¹

Affiliation:

1. Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3180270.3180276

Reference19 articles.

1. X10

2. Selection and replacement algorithms for memory performance improvement in Spark;Duan Mingxing;Concurrency and Computation: Practice and Experience,2015

3. James Jia Pradeep Kalipatnapu Richard Chiou Yiheng Yang and John F Canny. 2016. Implementing a GPU-based Machine Learning Library on Apache Spark. Master's thesis. http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-51.html James Jia Pradeep Kalipatnapu Richard Chiou Yiheng Yang and John F Canny. 2016. Implementing a GPU-based Machine Learning Library on Apache Spark. Master's thesis. http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-51.html

Cited by 5 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. Improving Performance of Hardware Accelerators by Optimizing Data Movement: A Bioinformatics Case Study;Electronics;2023-01-24

2. UVM Discard: Eliminating Redundant Memory Transfers for Accelerators;2022 IEEE International Symposium on Workload Characterization (IISWC);2022-11

3. ShadowVM;Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming;2021-02-17

4. Ignite-GPU: a GPU-enabled in-memory computing architecture on clusters;The Journal of Supercomputing;2020-07-27

5. OmpMemOpt: Optimized Memory Movement for Heterogeneous Computing;Euro-Par 2020: Parallel Processing;2020