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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
Assess ? Worth exploring with the goal of understanding how it will affect your enterprise.
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
Assess ? Worth exploring with the goal of understanding how it will affect your enterprise.
Aug 2010
Assess ? Worth exploring with the goal of understanding how it will affect your enterprise.
Veröffentlicht : Aug 31, 2010
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