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Issue No.02 - March-April (2012 vol.14)
pp: 78-83
ABSTRACT
<p>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.</p>
INDEX TERMS
coprocessor, accelerator, Intel MIC Architecture, many-core, GPGPU, scientific computing
CITATION
Michael Klemm, Alexander Heinecke, "From GPGPU to Many-Core: Nvidia Fermi and Intel Many Integrated Core Architecture", Computing in Science & Engineering, vol.14, no. 2, pp. 78-83, March-April 2012, doi:10.1109/MCSE.2012.23
REFERENCES
1. M. Feldman, "TACC Steps Up to the MIC," HPCwire,21 Apr. 2011; www.hpcwire.com/hpcwire/2011-04-21tacc_steps_up_to_the_mic.html .
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/2011-10-11oak_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/ micindex.htm.
4. Nvidia, "Next Generation CUDA Compute Architecture: Fermi," white paper, 2010; www.nvidia.com/content/PDF/fermi_white_papers NVIDIA_Fermi_Compute_Architecture_Whitepaper.pdf .
5. L. Seiler et al., "Larrabee: A Many-Core x86 Architecture for Visual Computing," ACM Trans. Graphics, vol. 27, no. 3, 2008, pp. 18:1–18:15.
6. A. Heinecke and C. Trinitis, "Making TifaMMy Fit for Tomorrow: Towards Future Shared Memory Systems and Beyond," Proc. 2011 Int'l Conf. High Performance Computing and Simulation, IEEE Press, 2011, pp. 517–524.
7. H.-J. Bungartz and M. Griebel, "Sparse Grids," Acta Numerica, vol. 13, no. 5, 2004, pp. 147–269.
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, "Multi- and 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.
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