Kaspersky Lab Utilizes NVIDIA's CUDA for Faster Threat Identification

Rob Williams

Editor-in-Chief
Staff member
Moderator
I've said this for quite a while, and still stick to it, that where GPGPU (general purpose GPU) is concerned, things seem to be slow to catch on. We've seen real benefits of the technology in the past, as the hugely parallel design of a graphics processor can storm through complex computations with ease. In many cases, the process can be accomplished much faster on a GPU than a CPU.

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