Machine learning-based thread-parallelism regulation in software transactional memory-Reference-Cited by-同舟云学术

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Machine learning-based thread-parallelism regulation in software transactional memory

Published:2017-11 Issue: Volume:109 Page:208-229
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Rughetti Diego,Di Sanzo Pierangelo,Ciciani Bruno,Quaglia Francesco

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference42 articles.

1. Advanced concurrency control for transactional memory using transaction commit rate;Ansari,2008

2. Learning in linear neural networks: a survey;Baldi;IEEE Trans. Neural Netw.,1995

3. Applied Optimal Control: Optimization, Estimation, and Control, Halsted Press Book;Bryson,1975

4. Adaptive thread mapping strategies for transactional memory applications;Castro;J. Parallel Distrib. Comput.,2014

5. Adaptive thread scheduling techniques for improving scalability of software transactional memory;Chan,2011

Cited by 3 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. Optimizing the EDP of OpenMP applications via concurrency throttling and frequency boosting;Journal of Systems Architecture;2022-02

2. Survey of machine learning application in transactional memory;2020 28th Telecommunications Forum (TELFOR);2020-11-24

3. Adaptive Model-Based Scheduling in Software Transactional Memory;IEEE Transactions on Computers;2020-05-01

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