Modern graphics processing units (GPUs) contain hundreds of arithmetic units and can be harnessed to provide tremendous acceleration for many numerically intensive scientific applications. The key to effective utilization of GPUs for scientific computing
Harte Zahlen zur Rechenleistung künftiger Nvidia-GPUs gab es jedoch nicht, die Einheit, in der Huangs Roadmap auf der Vertikalen skaliert ist "GFlops pro Watt". Wie der Nvidia-Mitbegründer betonte, ist die Rechenleistung nicht das Problem, sondern die "Power Wall". Schon mit den ersten Fermi-Grafikkarten kratzte Nvidia an der Grenze von 300 Watt.
provides a software development platform that allows developers to take advantage of a new generation of high performance processors. These new processors, including GPUs, the IBM Cell, and other multi-core processors
Marvin is a deep learning framework designed first and foremost to be hackable. It is naively simple for fast prototyping, uses only basic C/C++, and only calls CUDA and cuDNN as dependencies.
M. Wong, T. Wong, и K. Fok. Proceedings of the 2005 IEEE Congress on Evolutionary
Computation, 3, стр. 2286--2293. Edinburgh, Scotland, UK, IEEE Press, (2-5 September 2005)
H. Wu, G. Diamos, S. Cadambi, и S. Yalamanchili. Proceedings of the 2012 45th Annual IEEE/ACM International
Symposium on Microarchitecture, стр. 107--118. Washington, DC, USA, IEEE Computer Society, (2012)
Q. Yu, C. Chen, и Z. Pan. Advances in Natural Computation, First International
Conference, ICNC 2005, Proceedings, Part III, том 3612 из Lecture Notes in Computer Science, стр. 1051--1059. Changsha, China, Springer, (августа 2005)
X. Zhang, и Y. LeCun. (2015)cite arxiv:1502.01710Comment: This technical report is superseded by a paper entitled "Character-level Convolutional Networks for Text Classification", arXiv:1509.01626. It has considerably more experimental results and a rewritten introduction.