Using Intel’s Xeon Phi for Brain Research Visualization

Re:Using Intel’s Xeon Phi for Brain Research Visualization by dibanez on Sunday July 31, 2016 @06:24PM (#12199224)

Both, and it agrees with your prediction. KNL's cores are each much faster than KNC's cores. A KNC core was over 10X slower than a mainstream CPU core, and a KNL core seems to only be about 4.5X slower (on my particular code). I also get linear OpenMP scaling from 1 to 64 threads on KNL, so the parallelism is all there.

[ Parent | on HN ]

Re:Using Intel’s Xeon Phi for Brain Research Visualization by rjtobin on Sunday July 31, 2016 @07:52PM (#12199481)

Some questions out of curiosity: Is your application bandwidth-bound / compute-bound or something else? Also what modes have you been operating the KNL chip in?

[ Parent | on HN ]

Re:Using Intel’s Xeon Phi for Brain Research Visualization by dman on Sunday July 31, 2016 @07:04PM (#12199343)

Are you using the socketed version of the pcie version?

[ Parent | on HN ]