From gpgpu to many-core: Nvidia fermi and intel many integrated core architecture
A Heinecke, M Klemm… - Computing in Science & …, 2012 - ieeexplore.ieee.org
A Heinecke, M Klemm, HJ Bungartz
Computing in Science & Engineering, 2012•ieeexplore.ieee.orgFrom GPGPU to Many-Core: Nvidia Fermi and Intel Many Integrated Core Architecture Page 1
78 Copublished by the IEEE CS and the AIP 1521-9615/12/$31.00 © 2012 IEEE COMPUTING
IN SCIENCE & ENGINEERING N ovEl A rChItECturES Editors: Volodymyr Kindratenko,
kindr@ncsa.uiuc.edu Pedro Trancoso, pedro@cs.ucy.ac.cy FROM GPGPU TO MANY-CORE:
NVIDIA FERMI AND INTEL MANY INTEGRATED CORE ARCHITECTURE In recent years, we’ve
observed a strong trend towards using accel- erators, such as GPUs and fieldprogrammable …
78 Copublished by the IEEE CS and the AIP 1521-9615/12/$31.00 © 2012 IEEE COMPUTING
IN SCIENCE & ENGINEERING N ovEl A rChItECturES Editors: Volodymyr Kindratenko,
kindr@ncsa.uiuc.edu Pedro Trancoso, pedro@cs.ucy.ac.cy FROM GPGPU TO MANY-CORE:
NVIDIA FERMI AND INTEL MANY INTEGRATED CORE ARCHITECTURE In recent years, we’ve
observed a strong trend towards using accel- erators, such as GPUs and fieldprogrammable …
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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