Is your MPI application performing optimally on your cluster? Understanding MPI application
behavior, quickly finding bottlenecks, and achieving high performance for parallel cluster applications is critical. Join
us as we show how to effectively analyze MPI performance, speed up parallel application runs, locate hotspots and bottlenecks,
and compare trace files with graphics providing extensively detailed analysis and aligned timelines.
Intel® Inspector XE now gives you the ability to set and reset memory baselines and ask for memory leak information from your program whenever you want it. You will learn how to skip analysis of sections of the code you are not interested in, how to choose whether memory growth or on-demand leak detection is the right tool for you, and how to choose the correct analysis level to use, whether you are looking for that one pesky leak or looking to set up a QA process to find future leaks.
The Intel® Xeon Phi architecture from Intel Corporation features parallelism at the level of many x86-based cores, multiple threads per core, and vector processing units. Lattice Quantum Chromodynamics (LQCD) is of importance in studies of nuclear and high energy physics and MPI-HMMER is an open source MPI implementation of the HMMR protein analysis suite and important to life science research.