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

Computing in Science and Engineering

Volumn 14, Issue 2, 2012, Pages 78-83

  Heinecke, Alexander ^a   Klemm, Michael ^b   Bungartz, Hans Joachim ^c,d,e  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b INTEL CORPORATION   (United States)

^c LEIBNIZ SUPERCOMPUTING CENTRE   (Germany)

^d Department of Informatics and Mathematics ^*  (Germany)

^e Informatics Department of TUM   (Germany)

Author keywords

accelerator; coprocessor; GPGPU; Intel MIC Architecture; many core; scientific computing

Indexed keywords

COPROCESSOR; MICROWAVE INTEGRATED CIRCUITS; NATURAL SCIENCES COMPUTING; PARTICLE ACCELERATORS; PROGRAM PROCESSORS;

GPGPU; HIGHLY PARALLELS; INTEGRATED CORE; INTEL MIC ARCHITECTURES; MANY CORE; PERFORMANCE LEVEL; PERFORMANCE REGIONS;

COMPUTER ARCHITECTURE;

EID: 84858250586     PISSN: 15219615     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCSE.2012.23     Document Type: Article

References (10)

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2. Nvidia, "Oak Ridge National Lab Turns to NVIDIA Tesla GPUs to Deploy World's Leading Supercomputer," HPCwire, 11 Oct. 2011; www.hpcwire. com/hpcwire/2011-10-11/oak-ridge-national-lab-turns-to-Nvidia-tesla-gpus-to- deploy-world-s-leading-supercomputer.html.
3. Intel, "Introducing Intel Many Integrated Core Architecture," press release, 2011; www.intel.com/technology/architecture-silicon/mic/index. htm.
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8. D. Pflüger, Spatially Adaptive Sparse Grids for High-Dimensional Problems, doctoral dissertation, Institut für Informatik, Technische Universität München, Germany, 2010.
9. A. Heinecke and D. Pflüger, "Multiand Many-Core Data Mining with Adaptive Sparse Grids," Proc. 8th ACM Int'l Conf. Computing Frontiers, ACM, 2011, pp. 29:1-29:10.
10. A. Heinecke et al., "Extending a Highly Parallel Data Mining Algorithm to the Intel Many Integrated Core Architecture," Proc. 4th Workshop UnConventional High Performance Computing, Springer, to be published.