Parallel computingMobile gpuFault-toleranceTo increase performance, processor manufacturers extract parallelism through shrinking transistors and adding more of them to single-core chips and create multi-core systems. Although microprocessors performance continues to grow at an exponential rate, this approach ...
Modern GPUs, for the first time in computing history, put a data-parallel, streaming computing platform in nearly every desktop and notebook computer. A number of recent academic research papers—as well as other chapters in this book—demonstrate that these streaming processors are...
Design Choices in the PastWhile selecting a processor technology, a multicomputer designer chooses low-cost medium grain processors as building blocks. Majority of parallel computers are built with standard off-the-shelf microprocessors. Distributed memory was chosen for multi-computers rathe...
1.2.1 Parallel computing Parallel computing divides a scientific computing problem into several small computing tasks, and concurrently runs these tasks on a parallel computer, using parallel processing methods to solve complex computing problems quickly. Parallel computing is generally used in the fields...
Parallel processing is a method in computing of running two or more processors, orCPUs, to handle separate parts of an overall task. Breaking up different parts of a task among multiple processors helps reduce the amount of time it takes to run a program. Any system that has more than one...
PCI is used in computing systems for connecting peripheral devices like memory module, IO devices, network cards, graphics and sound cards, etc. with microprocessors. PCI is also employed in embedded systems for enabling high-speed data exchange between processors and memory devices. In network ...
Massively parallel computing structures (also referred to as "ultra-scale computers" or "supercomputers") interconnect large numbers of compute nodes, generally, in the form of very regular structures, such as grids, lattices or torus configurations. The conventional approach for the most cost/effecti...
Vector processing, a groundbreaking advancement in the realm of high-performance computing, took center stage with the introduction of the iconicCray-1supercomputer. While the Illiac-IV excelled in parallelism, the Cray-1 harnessed the transformative potential of vector processing. Conceived by the vis...
In parallel processing, a computing task is broken up into smaller portions, which are then sent to the available computing cores for processing. The results for all the separate operations are reassembled by the software into final result, usually in less time than it woul...
In the high-performance computing arena, parallelism has been used in technical and scientific applications for some time, based on a lot of work done in the 1980s. The kinds of problems are dominated by parallel loops over arrays of data where the bodies of the loops typically have a ...