NDLI: AME: an anyscale many-task computing engine

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AME: an anyscale many-task computing engine

AME: an anyscale many-task computing engine

Content Provider	ACM Digital Library
Author	Foster, Ian T. Zhang, Zhao Katz, Daniel S. Wilde, Michael Ripeanu, Matei
Abstract	Many-Task Computing (MTC) is a new application category that encompasses increasingly popular applications in biology, economics, and statistics. The high inter-task parallelism and data-intensive processing capabilities of these applications pose new challenges to existing supercomputer hardware-software stacks. These challenges include resource provisioning; task dispatching, dependency resolution, and load balancing; data management; and resilience. This paper examines the characteristics of MTC applications which create these challenges, and identifies related gaps in the middleware that supports these applications on extreme-scale systems. Based on this analysis, we propose AME, an Anyscale MTC Engine, which addresses the scalability aspects of these gaps. We describe the AME framework and present performance results for both synthetic benchmarks and real applications. Our results show that AME's dispatching performance linearly scales up to 14,120 tasks/second on 16,384 cores with high efficiency. The overhead of the intermediate data management scheme does not increase significantly up to 16,384 cores. AME eliminates 73% of the file transfer between compute nodes and the global filesystem for the Montage astronomy application running on 2,048 cores. Our results indicate that AME scales well on today's petascale machines, and is a strong candidate for exascale machines.
Starting Page	137
Ending Page	146
Page Count	10
File Format	PDF
ISBN	9781450311007
DOI	10.1145/2110497.2110513
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-11-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Many-task computing Data management Scheduling Load balancing Supercomputer systems
Content Type	Text
Resource Type	Article

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