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Enabling OS Research by Inferring Interactions in the Black-Box GPU Stack∗ Konstantinos Menychtas Kai Shen Michael L. Scott Department of Computer Science, University of Rochester
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Document Date: 2014-01-10 21:40:40


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City

San Mateo / Portland / Cascais / Ottawa / Boston / /

Company

Neural Information Processing Systems / AMD / Nvidia / GPU / CPU / Google / Real-Time Systems / Intel / /

Country

Canada / Portugal / /

Facility

library APIs / University of Rochester Abstract General-purpose GPUs / Stony Brook University / /

IndustryTerm

software stack / realtime multiprocessor systems / earliest technology / command producer / resource management / substantial computing power / computing / long chain / virtualized accelerator-based systems / certain free and open-source software / /

OperatingSystem

GNU/Linux / Linux / /

Organization

National Science Foundation / Black-Box GPU Stack∗ Konstantinos Menychtas Kai Shen Michael L. Scott Department of Computer Science / University of Rochester Abstract General-purpose GPUs / USENIX Association / Stony Brook University / Pattern Analysis and Machine Intelligence / /

Person

N. Tolia / V / Daniel Gildea / Rama Ramasubramanian / /

Position

driver / Application-Library interface User-Kernel interface driver driver driver / command producer / fair-share scheduler for the graphics processing unit / binary driver / producer / /

ProvinceOrState

California / Massachusetts / /

PublishedMedium

Journal of the ACM / /

Technology

Linux / API / operating system / virtual memory / Operating Systems / earliest technology / /

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