Analyzing the Performance of Intel Xeon Phi for Deep Learning | by Alejandro Baldominos | Medium
Here's htop on a maxed out Xeon Phi 31S1P : r/homelab
10x Xeon Phi Coprocessor cards, 4x E7-8895v2, 512gb of RAM, 6 PSU's, and more adapters and dongles than you can shake a stick at, with a 1500 Watt idle and a folding
Productive parallel programming for intel xeon phi coprocessors | PPT
Windows 10 with Xeon Phi | Puget Systems
IA Optimized Python Rocks in Production - High-Performance Computing News Analysis | insideHPC
GitHub - GeauxMushroom/pyJobDistributor: A python distributor for running jobs on Xeon-phi cards and CPUs on smic
Xeon Phi Installation on Gentoo Linux | Industrial Informatics Research Center
Intel® Python* on 2nd Generation Intel® Xeon Phi™ Processors: Out-of-the-Box Performance | Colfax Research
Accelerating Scientific Python with Intel Optimizations
Aidan Crowther - Software Engineer
GitHub - bpartridge/PyPhi: Python for Scientific Computing on Intel's Xeon Phi MIC Platform
The Inside Scoop on How We Accelerated NumPy Umath Functions
Intel® Python* on 2nd Generation Intel® Xeon Phi™ Processors: Out-of-the-Box Performance | Colfax Research
High Performance Computing (HPC) Running Intel Xeon Phi: N-body Simulation Example | Mathalope