IEEE Spectrum · 2020 · 100 citations · 0 references
ComputingComputer EngineeringComputer ScienceArtificial IntelligenceMachine LearningParallel ComputingAccelerator ArchitectureDeep LearningGraphics Processing Unit ArchitectureGraphics Processing Unit ComputingGraphics Processing UnitsParallel ArchitecturesCuda ProgrammingDeep Learning AcceleratorsDeep Learning On GpusGpu AcceleratorsGpu MicroarchitectureGpu Parallel AlgorithmsMachine Learning AccelerationProcessor Architecture
When opportunity knocks, open the door: No one has taken heed of the adage like Nvidia, which has transformed itself from a company focused on catering to the needs of video gamers to one at the heart of the artificial-intelligence revolution. In 2001, no one predicted that the same processor architecture developed to draw realistic explosions in 3D would be just the thing to power a renaissance in deep learning. But when Nvidia realized that academics were gobbling up its graphics cards, it responded, supporting researchers with the launch of the CUDA parallel computing software framework in 2006.