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Title: Mars-HD : a high performance computing systems for many-core processors
Authors: Lim, Chun Leng
Keywords: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems
Issue Date: 2014
Abstract: Mars-HD was built over Mars, a GPU MapReduce Framework, to allow it to work in the Hadoop cluster. This gives rise to the ability for multiple GPUs to work together in a distributed cloud system. As data processing becomes more crucial to understanding the trends of the world, it becomes essential to process these incoming data in the shortest time possible. Thus, the power of the clusters is necessary. Mars-HD successfully ensure scalability of the Mars framework, by building it directly on top of Hadoop MapReduce Framework, allowing Hadoop to perform the function of load balancing and then sends the data over to Mars to be processed and outputs the result. Performance on Mars-HD is not on par with Mars due to the overhead in the Hadoop Framework, however, with the use of Mars-HD on an input data of the correct size, the performance difference can be reduced and achieve speedup.
Schools: School of Computer Engineering 
Research Centres: Parallel and Distributed Computing Centre 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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