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
IEEE Transactions on Parallel and Distributed Systems (TPDS) has moved to the OnlinePlus publication model.
From the November 2015 Issue
MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors
By Mian Lu, Yun Liang, Huynh Phung Huynh, Zhongliang Ong, Bingsheng He, and Rick Siow Mong Goh
In this work, we develop MrPhi, an optimized MapReduce framework on a heterogeneous computing platform, particularly equipped with multiple Intel Xeon Phi coprocessors. To the best of our knowledge, this is the first work to optimize the MapReduce framework on the Xeon Phi. We first focus on employing advanced features of the Xeon Phi to achieve high performance on a single coprocessor. We propose a vectorization friendly technique and SIMD hash computation algorithms to utilize the SIMD vectors. Then we pipeline the map and reduce phases to improve the resource utilization. Furthermore, we eliminate multiple local arrays but use low cost atomic operations on the global array to improve the thread scalability. For a given application, our framework is able to automatically detect suitable techniques to apply. Moreover, we extend our framework to a heterogeneous platform to utilize all hardware resource effectively. We adopt non-blocking data transfer to hide the communication overhead. We also adopt aligned memory transfer in order to fully utilize the PCIe bandwidth between the host and coprocessor. We conduct comprehensive experiments to benchmark the Xeon Phi and compare our optimized MapReduce framework with a state-of-the-art multi-core based MapReduce framework (Phoenix++). By evaluating six real-world applications, the experimental results show that our optimized framework is 1.2 to 38$\times$ faster than Phoenix++ for various applications on a single Xeon Phi. Additionally, the performance of four applications is able to achieve linear scalability on a platform equipped with up to four Xeon Phi coprocessors.
Editorials and Announcements
- According to Thomson Reuters' 2013 Journal Citation Report, TPDS has an impact factor of 2.173.
- TPDS celebrates its 25th Anniversary. Editor-in-Chief David A. Bader says, "Congratulations to TPDS on its Silver Jubilee! For 25 years, TPDS has been the parallel and distributed computing community's flagship journal for research breakthroughs!"
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- Editor's Note (Jan 2015)
- State of the Journal (Jan 2014)
- Editor's Note: EIC Farewell and New EIC Introduction (Dec 2013)
- Editor's Note (Nov 2013)
- Editor's Note (Jan 2013)
- Editor's Note (April 2012)
- Editor's Note (January 2012)
- Editorial: Media Center (November 2011)
- Editor's Note: How to Write Research Articles in Computing and Engineering Disciplines by Ivan Stojmenovic
- Full Supplemental PDF of Editor's Note: How to Write Research Articles in Computing and Engineering Disciplines by Ivan Stojmenovic and Veljko Milutinovic (PDF)
- Special Issue on Trust, Security, and Privacy in Parallel and Distributed Systems (Feb 2014)
- Special Issue on Cloud Computing (June 2013)
- Special Issue on Cyber-Physical Systems (CPS) (Sept 2012)
- Special Section on Many-Task Computing (June 2011)
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