Cited by 6

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Simulating cortical networks on heterogeneous multi-GPU systems

Nere, Andrew, Franey, Sean, Hashmi, Atif, Lipasti, Mikko·2013·Journal of Parallel and Distributed Computing

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Crossref · 10.1016/j.jpdc.2012.02.006

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  • Different phases of a single application may exhibit properties which make it more suitable for execution on a particular PU.

    “Not only different applications, but even different phases of a single application may exhibit properties which make it more suitable for execution on a particular PU [He and Hong 2010;Nere et al. 2012;Shen et al. 2013]).”

    From A Survey of CPU-GPU Heterogeneous Computing Techniques (2015) · cites this paper as Nere et al. 2012

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Research works printed but not linked: 24

  1. Agullo, 2010, Faster, cheaper, better a hybridization methodology to develop linear algebra software for gpus, GPU Comput. Gems, 2
  2. A. Bakhoda, G.L. Yuan, W.W. Fung, H. Wong, T.M. Aamodt, Analyzing CUDA workloads using a detailed GPU simulator, in: Performance Analysis of Systems and Software, 2009. ISPASS 2009. IEEE International Symposium on, pp. 163–174. · DOI
  3. Brown, 2003, The legacy of Donald O. Hebb: more than the Hebb synapse., Nat. Rev. Neurosci., 4, 1013, 10.1038/nrn1257 · DOI
  4. Che, 2008, A performance study of general-purpose applications on graphics processors using cuda, J. Parallel Distrib. Comput., 68, 1370, 10.1016/j.jpdc.2008.05.014 · DOI
  5. Douglas, 1995, Recurrent excitation in neocortical circuits, Science, 269, 981, 10.1126/science.7638624 · DOI
  6. Grill-Spector, 1998, A sequence of object-processing stages revealed by fmri in the human occipital lobe, Hum. Brain Map., 6, 316, 10.1002/(SICI)1097-0193(1998)6:4<316::AID-HBM9>3.0.CO;2-6 · DOI
  7. A. Hashmi, M. Lipasti, Cortical columns: building blocks for intelligent systems, in: Proceedings of the Symposium Series on Computational Intelligence, pp. 21–28. · DOI
  8. A. Hashmi, M. Lipasti, Discovering cortical algorithms, in: Proceedings of the International Conference on Neural Computation, ICNC 2010.
  9. Hubel, 1962, Receptive fields, binocular interactions and functional architecture in cat’s visual cortex, J. Physiol., 160, 106, 10.1113/jphysiol.1962.sp006837 · DOI · Paper page
  10. Hubel, 1968, Receptive fields and functional architecture of monkey striate cortex, J. Physiol., 195, 215, 10.1113/jphysiol.1968.sp008455 · DOI
  11. Losonczy, 2006, Integrative properties of radial oblique dendrites in hippocampal ca1 pyramidal neurons, Neuron, 50, 291, 10.1016/j.neuron.2006.03.016 · DOI
  12. Mountcastle, 1997, The columnar organization of the neocortex, Brain, 120, 701, 10.1093/brain/120.4.701 · DOI
  13. Nageswaran, 2009, A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors, Neural Networks, 22, 791, 10.1016/j.neunet.2009.06.028 · DOI
  14. A. Nere, A. Hashmi, M. Lipasti, Profiling heterogeneous multi-GPU systems to accelerate cortically inspired learning algorithms, in: Proceedings of the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2011. · DOI
  15. R. Raina, A. Madhavan, A.Y. Ng, Largescale deep unsupervised learning using graphics processors, in: International Conf. on Machine Learning.
  16. Rice, 2009, Scaling analysis of a neocortex inspired cognitive model on the cray xd1, J. Supercomput., 47, 21, 10.1007/s11227-008-0195-z · DOI
  17. Ringach, 2004, Haphazard wiring of simple receptive fields and orientation columns in visual cortex, J. Neurophysiol., 92, 468, 10.1152/jn.01202.2003 · DOI
  18. Roelfsema, 2005, Attention-gated reinforcement learning of internal representations for classification, Neural Comput., 17, 2176, 10.1162/0899766054615699 · DOI
  19. Roth, 2005, Evolution of brain and intelligence, TRENDS Cogn. Sci., 5, 250, 10.1016/j.tics.2005.03.005 · DOI · Paper page
  20. Sillito, 2006, Always returning: feedback and sensory processing in visual cortex and thalamus, Trends Neurosci., 29, 307, 10.1016/j.tins.2006.05.001 · DOI · Paper page
  21. Swanson, 1995, Mapping the human brain: past, present, and future, Trends Neurosci., 18, 471, 10.1016/0166-2236(95)92766-J · DOI
  22. Valiant, 1990, A bridging model for parallel computation, Commun. ACM, 33, 103, 10.1145/79173.79181 · DOI
  23. V. Volkov, J.W. Demmel, Benchmarking GPUs to tune dense linear algebra, in: High Performance Computing, Networking, Storage and Analysis, 2008. SC 2008. International Conference for, p. 111. · DOI
  24. S. Xiao, W. chun Feng, Inter-block gpu communication via fast barrier synchronization, in: Parallel Distributed Processing, IPDPS, 2010 IEEE International Symposium on, pp. 1–12. · DOI

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Metadata

Authors
Nere, A., Franey, S., Hashmi, A., & Lipasti, M.
Venue
Journal of Parallel and Distributed Computing
Publisher
Elsevier BV
Published
2013-07
Volume
73
Issue
7
Pages
953-971
ISSN
0743-7315
Cited by
6
References
0
Language
en

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