Intel is working on an optimized Python! I did a quick test with the preview version and it looks good.
Windows 10 with Xeon Phi
Can you use an Intel Xeon Phi with Windows 10? Yes, you can. However, just because you can do something, doesn’t mean that you should do it! I did a set up and a little testing mainly just to see if it would work — it does!
Molecular Dynamics Performance on GPU Workstations — NAMD
Molecular Dynamics programs can achieve very good performance on modern GPU accelerated workstations giving job performance that was only achievable using CPU compute clusters only a few years ago. The group at UIUC working on NAMD were early pioneers of using GPU’s for compute acceleration and NAMD has very good performance acceleration using NVIDIA CUDA. We show you how good that performance is on modern Nvidia GPU’s
Intel Skylake 6700K with Parallel Studio XE 2016 vs 2015 on Fedora 23 Much Better!
Intel Skylake Core-i7 CPU — 256 GFLOP/s Linpack result with Intel Parallel Studio XE 2016 and MKL 11.3 vs 200 GFLOP/s using Intel Parallel Studio XE 2015 and MKL 11.2!
Skylake-S i7 6700K and i5 6600K for compute? maybe?
I have done a little informal testing with the new i7 and i5 processor running the Linpack benchmark and a NAMD MD simulation. Mixed results!
CentOS 7 kernel boot order bug
I have been butting heads with a particularly annoying bug that I hit frequently on installs since I work with systems that need to have kernel modules recompiled for CUDA and the Xeon Phi. I have it mostly figured out and have a fix in this post.
OpenACC for free! — NVIDIA OpenACC Toolkit
NVIDIA and PGI are offering “PGI Accelerator with OpenACC” free to academia (or 90 day trial for commercial users) under the banner “NVIDIA OpenACC Toolkit”. It’s about time!
Xeon Phi 5110p and Free Intel Parallel Studio Cluster Edition
Another amazing deal on Xeon Phi from Intel! This time you can get a 90% discount on a Phi 5110p and get the Intel Parallel Studio Cluster edition with a 1 year license for free.
GTX 980 Ti Linux CUDA performance vs Titan X and GTX 980
NVIDIA has just launched the GTX 980 Ti and I got to run some benchmarks on one. How is the Linux CUDA performance? Almost as good as the TitanX! This is another great card from NVIDIA for single precision compute loads. We’ve got some number to show it.
Install NVIDIA CUDA on Fedora 22 with gcc 5.1
Fedora 22 is full of new goodness like kernel 4.0 and gcc 5.1 and yes, you can install and run CUDA on it! It’s not officially supported but I did manage to get it working!
