IEEE Transactions on Parallel and Distributed Systems

IEEE Transactions on Parallel and Distributed Systems (TPDS) is a scholarly archival journal published monthly. Parallelism and distributed computing are foundational research and technology to rapidly advance computer systems and their applications. Read the full scope of TPDS.

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From the February 2019 Issue

The Case for Phase-Based Transactional Memory

By João P.L. de Carvalho, Guido Araujo, and Alexandro Baldassin 


Free Featured Article

In recent years, Hybrid TM (HyTM) has been proposed as a transactional memory approach that leverages on the advantages of both hardware (HTM) and software (STM) execution modes. HyTM assumes that concurrent transactions can have very different phases and thus should run under different execution modes. Although HyTM has shown to improve performance, the overall solution can be complicated to manage, both in terms of correctness and performance. On the other hand, Phased Transactional Memory (PhTM) considers that concurrent transactions have similar phases, and thus all transactions could run under the same mode. As a result, PhTM does not require coordination between transactions on distinct modes making its implementation simpler and more flexible. In this article we make the case for phase-based transactional systems using PhTM*, the first implementation of PhTM on modern HTM-ready processors. PhTM* novelty relies on avoiding unnecessary transitions to software mode by: (i) taking into account the categories of hardware aborts; (ii) adding a new serialization mode. Experimental results using Broadwell's TSX reveal that, for the STAMP benchmark suite, PhTM* performs on average 1.68x better than PhTM, a previous phase-based TM, 2.08x better than HyTM-NOrec, a state-of-the-art HyTM, and 2.28x better than HyCO, the most recent hybrid system in the literature. In addition, PhTM* also showed to be effective when running on a Power8 machine by performing over 1.18x, 1.36x and 1.81x better than PhTM, HyTM-NOrec and HyCO, respectively. We also show that STAMP applications do not exhibit hybrid behavior to justify the use of conventional hybrid systems, thus making PhTM* a better solution to those type of programs. Finally, we show for the first time that conventional hybrid systems do not perform better than phased-based system in a scenario with hybrid-behaved transactions.

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Editorials and Announcements


  • We are pleased to announce that Manish Parashar, a Distinguished Professor of Computer Science at Rutgers, The State University of New Jersey University, has been selected as the new Editor-in-Chief of the IEEE Transactions on Parallel and Distributed Systems starting in 2018.
  • We are pleased to announce that Xian-He Sun, a Distinguished Professor of Computer Science at The Illinois Institute of Technology, has been selected as the new Associate Editor-in-Chief of the IEEE Transactions on Parallel and Distributed Systems starting in 2018.
  • TPDS now offers authors access to Code Ocean. Code Ocean is a cloud-based executable research platform that allows authors to share their algorithms in an effort to make the world’s scientific code more open and reproducible. Learn more or sign up for free.
  • According to Clarivate Analytics' 2016 Journal Citation Report, TPDS has an impact factor of 4.181.


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