MILC software represents a set of codes written by the MIMD Lattice Computation collaboration used to study quantum chromodynamics, the theory of the strong interactions of subatomic physics. This article provides instructions for code access, build, and run directions for the “ks_imp_rhmc” application on Intel® Xeon® processors and Intel® Xeon Phi™ processors.
Installing Intel® Performance Libraries and Intel® Distribution for Python* via popular Linux* package managersSelect Version for Download Instructions
Developers can now easily access the following Intel® Software Development Tools through several Linux* package managers at no cost:
Find out how Julia is fast becoming a language of choice for high-performance and high-scalability applications in Machine Learning and Deep Learning.
Find out how Intel® TBB can help you address the multi-core performance challenges of today’s heterogeneous compute landscape. Easily.
Using the OpenMP* programming model, we’ll work on and optimize sample multi-threaded code, and illustrate best practices for efficiency and speed ups.
Intel engineers will describe implementation of Parallel STL—the C++ Standard Template Library—based on OpenMP* pragmas & the Intel® TBB library.
Explore HPC performance characterization analysis to gain actionable insight into how efficiently compute-intensive applications use system resources.
We’ll show a workflow for finding bottlenecks and demonstrate an effective method for implementing improvements … no complex software necessary.
Get expert tips for using Intel® Cluster Checker to verify system functionality.
For more complete information about compiler optimizations, see our Optimization Notice.