Optimizing HPC Applications with Intel(R) Cluster Tools takes the
reader on a tour of the fast-growing area of high performance computing
and the optimization of hybrid programs. These programs typically
combine distributed memory and shared memory programming models and use
the Message Passing Interface (MPI) and OpenMP for multi-threading to
achieve the ultimate goal of high performance at low power consumption
on enterprise-class workstations and compute clusters.
The book focuses on optimization for clusters consisting of the Intel(R)
Xeon processor, but the optimization methodologies also apply to the
Intel(R) Xeon Phi(TM) coprocessor and heterogeneous clusters mixing both
architectures. Besides the tutorial and reference content, the authors
address and refute many myths and misconceptions surrounding the topic.
The text is augmented and enriched by descriptions of real-life
situations.