From GPGPU to many-core: Nvidia Fermi and Intel Many Integrated Core Architecture

Alexander Heinecke; Michael Klemm; Hans Joachim Bungartz

doi:10.1109/MCSE.2012.23

From GPGPU to many-core: Nvidia Fermi and Intel Many Integrated Core Architecture

Alexander Heinecke, Michael Klemm, Hans Joachim Bungartz

Research output: Contribution to journal › Article › peer-review

45 Scopus citations

Abstract

Comparing the architectures and performance levels of an Nvidia Fermi accelerator with an Intel MIC Architecture coprocessor demonstrates the benefit of the coprocessor for bringing highly parallel applications into, or even beyond, GPGPU performance regions.

Original language	English
Article number	6159201
Pages (from-to)	78-83
Number of pages	6
Journal	Computing in Science and Engineering
Volume	14
Issue number	2
DOIs	https://doi.org/10.1109/MCSE.2012.23
State	Published - 2012
Externally published	Yes

Keywords

GPGPU
Intel MIC Architecture
accelerator
coprocessor
many-core
scientific computing

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10.1109/MCSE.2012.23

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title = "From GPGPU to many-core: Nvidia Fermi and Intel Many Integrated Core Architecture",

abstract = "Comparing the architectures and performance levels of an Nvidia Fermi accelerator with an Intel MIC Architecture coprocessor demonstrates the benefit of the coprocessor for bringing highly parallel applications into, or even beyond, GPGPU performance regions.",

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From GPGPU to many-core: Nvidia Fermi and Intel Many Integrated Core Architecture

Abstract

Keywords

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