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Last updated : Mar 16, 2012
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Mar 2012
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索
The use of GPUs for computing offers efficiencies and performance for certain classes of problems that would be prohibitively expensive for more traditional hardware. Problems that fit Single Instruction Multiple Data (SIMD) processing models can gain significant advantages at the cost of difficult learning curves using specialized APIs. OpenCL, CUDA from NVidia and DirectCompute from Microsoft offer developers access to General-purpose computing on graphics processing units (GPGPU).
Jul 2011
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索
Aug 2010
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索
已发布 : Aug 31, 2010


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