Optimizing HPC Applications with Intel® Cluster Tools by Alexander Supalov, Andrey Semin, Michael Klemm, Christopher

By Alexander Supalov, Andrey Semin, Michael Klemm, Christopher Dahnken

Optimizing HPC purposes with Intel® Cluster instruments takes the reader on a journey of the fast-growing region of excessive functionality computing and the optimization of hybrid courses. those courses usually mix allotted reminiscence and shared reminiscence programming types and use the Message Passing Interface (MPI) and OpenMP for multi-threading to accomplish the final word objective of excessive functionality at low strength intake on enterprise-class workstations and compute clusters.

The booklet specializes in optimization for clusters including the Intel® Xeon processor, however the optimization methodologies additionally observe to the Intel® Xeon Phi™ coprocessor and heterogeneous clusters blending either architectures. in addition to the educational and reference content material, the authors handle and refute many myths and misconceptions surrounding the subject. The textual content is augmented and enriched by means of descriptions of real-life events.

Show description

Read or Download Optimizing HPC Applications with Intel® Cluster Tools PDF

Similar technology books

The Global Positioning System and GIS: An Introduction (2nd Edition)

The worldwide Positioning approach and Geographical details structures, operating in tandem, supply a robust software. fresh advancements resembling the elimination of Selective Availability haven't in simple terms made those applied sciences extra exact yet have additionally unfolded a brand new seam of functions, really in position dependent companies.

Nanopore-Based Technology

Nanopores are very important organic positive aspects, defined as tiny holes in mobile membranes used for acceptance and delivery of ions and molecules among booths in the cellphone, in addition to among the extracellular surroundings and the telephone itself. Their learn, ever starting to be in esteem, leads towards the promise of ultra-fast sequencing of DNA molecules with the last word objective of establishing a nanoscale gadget that would make speedy and inexpensive DNA sequencing a fact.

Progress in abrasive and grinding technology : special topic volume with invited papers only

The grinding and abrasive processing of fabrics are machining concepts which use bonded or free abrasives to take away fabric from workpieces. as a result of recognized benefits of grinding and abrasive techniques, advances in abrasive and grinding expertise are constantly of serious import in bettering either productiveness and part caliber.

Additional info for Optimizing HPC Applications with Intel® Cluster Tools

Sample text

35 Chapter 2 ■ Overview of Platform Architectures It is worth noting that job schedulers take their portion of time for every job execution, and this time can reach seconds per job submission. The good news is that scheduling takes place only before the application starts and may add some time after the job ends (for the clean-up). So, if your job takes several days to run on a cluster, these few seconds have a small relative impact. However, sometimes people need to run a large number of smaller jobs.

Chapter 3 ■ Top-Down Software Optimization • • Basic input-output system (BIOS): The BIOS is used to bootstrap the system (that is, starting the OS without having full knowledge of the components used), but more importantly, it is also used to configure certain hardware features that can only be set at the boot time. Examples for such features are: • NUMA mode: Does the BIOS present the system memory as local to a socket or as one homogeneous memory region? Inefficient memory initialization may introduce significant system-level bottlenecks for particular applications.

Processors in each node have their own dedicated private memory and their own private I/O. In fact, these nodes are likely to be shared memory systems like those we have reviewed earlier. Before any processor can access data residing in another node’s private memory, that data should be copied to the private memory of the node that is requesting the data. This hardware approach to building a parallel machine is called distributed memory. The additional data copy step, of course, has additional penalty associated with it, and the performance impact greatly depends on characteristics of the interconnect between the nodes and on the way it is programmed.

Download PDF sample

Rated 4.62 of 5 – based on 27 votes