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In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
CUDA support ROCm support [1] Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0: Yes Apache Spark Scala Scala, Python No No Yes Yes Yes Yes Caffe: Berkeley Vision and Learning Center 2013 BSD: Yes Linux, macOS ...
CUDA; GeForce 8100 mGPU [44] 2008 MCP78 TSMC 80 nm Unknown Unknown PCIe 2.0 x16 500 1200 400 (system memory) 8:8:4 2 4 Up to 512 from system memory 6.4 12.8 DDR2 64 128 28.8 10.0 3.3 n/a n/a Unknown The block of decoding of HD-video PureVideo HD is disconnected GeForce 8200 mGPU [44] Unknown Unknown gt Unknown PureVideo 3 with VP3
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [71] and metaobjects). [72]
free, $2500 (Pro, commercial), $1000 (Pro, academic) Proprietary: interactive graphics TK Solver: Universal Technical Systems, Inc. late 1970s 1982 6.0.152 2020: $599 commercial, $49 (student) Proprietary: Numerical computation and rule-based application development VisSim: Visual Solutions 1989 10.1 January 2011: $495-$2800 (commercial) free ...
Nvidia's CUDA is closed-source, whereas AMD ROCm is open source. There is open-source software built on top of the closed-source CUDA, for instance RAPIDS . CUDA is able run on consumer GPUs, whereas ROCm support is mostly offered for professional hardware such as AMD Instinct and AMD Radeon Pro .
Wolfram Mathematica is a software system with built-in libraries for several areas of technical computing that allows machine learning, statistics, symbolic computation, data manipulation, network analysis, time series analysis, NLP, optimization, plotting functions and various types of data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in ...
Iris Pro Graphics P555 2016 Workstation Xeon E3-1558L v5 192D 650: 1000 128 Iris Pro Graphics 580 Mobile Core i5-6350HQ 193B 350: 900 576:72:9 (GT4) Core i7-6770HQ: 950 Core i7-6870HQ: 1000 Core i7-6970HQ: 1050 Desktop: Core i5-6585R: 1100 Core i5-6685R Core i7-6785R: 1150 Iris Pro Graphics P580 Workstation Xeon E3-1578L v5 193D 700 1000 Mobile ...