Staged Tuning: A Hybrid (Compile/Install-time) Technique for Improving Utilization of Performance-asymmetric Multicores

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2015-06-29
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Sondag, Tyler
Rajan, Hridesh
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Rajan, Hridesh
Professor and Department Chair of Computer Science
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Computer Science

Computer Science—the theory, representation, processing, communication and use of information—is fundamentally transforming every aspect of human endeavor. The Department of Computer Science at Iowa State University advances computational and information sciences through; 1. educational and research programs within and beyond the university; 2. active engagement to help define national and international research, and 3. educational agendas, and sustained commitment to graduating leaders for academia, industry and government.

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The Computer Science Department was officially established in 1969, with Robert Stewart serving as the founding Department Chair. Faculty were composed of joint appointments with Mathematics, Statistics, and Electrical Engineering. In 1969, the building which now houses the Computer Science department, then simply called the Computer Science building, was completed. Later it was named Atanasoff Hall. Throughout the 1980s to present, the department expanded and developed its teaching and research agendas to cover many areas of computing.

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1969-present

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Emerging trends towards performance-asymmetric multicore processors (AMPs) are posing new challenges, because for effective utilization of AMPs, code sections of a program must be assigned to cores such that the resource needs of the code sections closely match the resources available at the assigned core. Computing this assignment can be difficult especially in the presence of unknown or many target AMPs. We observe that finding a mapping between the code segment characteristics and the core characteristics is inexpensive enough, compared to finding a mapping between the code segments and the cores, that it can be deferred until installation-time for more precise decision. We present staged tuning which combines extensive compile time analysis with intelligent binary customization at install-time. Staged tuning is like staged compilation, just for core assignment. Our evaluation shows that staged tuning is effective in improving the utilization of AMPs. We see a 23% speedup over untuned workloads.

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