High-performance computing Parallel computing is the simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain results faster. ... It has been suggested that this article or section be merged into Supercomputing. ...

Speedup · Amdahl's law · Flynn's taxonomy (SISD • SIMD • MISD • MIMD) · Cost efficiency · Gustafson's law · Karp-Flatt metric · Parallel slowdown In parallel computing, speedup refers to how much a parallel algorithm is faster than a corresponding sequential algorithm. ... The speedup of a program using multiple processors in parallel computing is limited by the sequential fraction of the program. ... Flynns taxonomy is a classification of computer architectures, proposed by Michael J. Flynn in 1972. ... SISD is an acronym for Single Instruction stream over a Single Data stream. ... -1... Multiple Instruction Single Data (MISD) is a type of parallel computing architecture where many functional units perform different operations on the same data. ... Multiple Instruction Multiple Data (MIMD) is a type of parallel computing architecture where many functional units perform different operations on different data. ... There are very few or no other articles that link to this one. ... Gustafsons Law (also known as Gustafson-Barsis law) is a law in computer engineering which states that any sufficiently large problem can be efficiently parallelized. ... The Karp-Flatt Metric is a measure of parallelization of code in parallel processor systems. ...

Multiprocessing · Multithreading · Multitasking · Memory coherency · Cache coherency · Barrier · Synchronization · Distributed computing · Grid computing Multiprocessing is traditionally known as the use of multiple concurrent processes in a system as opposed to a single process at any one instant. ... Multithreading computers have hardware support to efficiently execute multiple threads. ... In computing, multitasking is a method by which multiple tasks, also known as processes, share common processing resources such as a CPU. In the case of a computer with a single CPU, only one task is said to be running at any point in time, meaning that the CPU is... Memory coherence (also cache coherence or cache consistency) is the property of the shared memory systems (multiprocessors and distributed shared memory systems) in which any shared piece of memory (cache line or memory page) gives consistent values with accordance to earlier agreed consistency model despite accesses (maybe parallel) from different... Cache coherence refers to the integrity of data stored in local caches of a shared resource. ... In parallel computing, a barrier is a type of synchronization method. ... In computer science, especially parallel computing, synchronization means the coordination of simultaneous threads or processes to complete a task in order to get correct runtime order and avoid unexpected race conditions. ... Distributed computing is a method of computer processing in which different parts of a program are run simultaneously on two or more computers that are communicating with each other over a network. ... Grid computing is a phrase in distributed computing which can have several meanings: Multiple independent computing clusters which act like a grid because they are composed of resource nodes not located within a single administrative domain. ...

Computer cluster · Beowulf · Symmetric multiprocessing · Non-Uniform Memory Access · Cache only memory architecture · Asymmetric multiprocessing · Simultaneous multithreading · Shared memory · Distributed memory · Massively parallel processing · Superscalar processing · Vector processing · Supercomputer · Stream processing · GPGPU Computer hardware is the physical part of a computer, including its digital circuitry, as distinguished from the computer software that executes within the hardware. ... An example of a Computer cluster A computer cluster is a group of tightly coupled computers that work together closely so that in many respects they can be viewed as though they are a single computer. ... The Borg, a 52-node Beowulf cluster used by the McGill University pulsar group to search for pulsations from binary pulsars. ... Symmetric multiprocessing, or SMP, is a multiprocessor computer architecture where two or more identical processors are connected to a single shared main memory. ... Non-Uniform Memory Access or Non-Uniform Memory Architecture (NUMA) is a computer memory design used in multiprocessors, where the memory access time depends on the memory location relative to a processor. ... Cache only memory architecture (COMA) is a computer memory organization for use in multiprocessors in which the local memories (typically DRAM) at each node are used as cache. ... Asymmetric Multiprocessing or ASMP is a style of multiprocessing supported in DECs VMS V.3 as well as a number of older systems including TOPS-10 and OS-360. ... Simultaneous multithreading, often abbreviated as SMT, is a technique for improving the overall efficiency of superscalar CPUs. ... // Diagram of a typical Shared memory system. ... Distributed memory is a concept used in parallel computing. ... Massive parallelism is a term used in computer architecture and application-specific integrated circuit (ASIC) design. ... Simple superscalar pipeline. ... Processor board of a CRAY YMP vector computer A vector processor, or array processor, is a CPU design that is able to run mathematical operations on multiple data elements simultaneously. ... For other uses, see Supercomputer (disambiguation). ... For other uses, see Event Stream Processing. ... General-purpose computing on graphics processing units (GPGPU, also referred to as GPGP and to a lesser extent GP²) is a recent trend focused on using GPUs to perform computations rather than the CPU. The addition of programmable stages and higher precision arithmetic to the rendering pipelines allowed software developers...

POSIX Threads · OpenMP · Message Passing Interface (MPI) · Intel Threading Building Blocks API redirects here. ... POSIX Threads is a POSIX standard for threads. ... OpenMP logo The OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared memory multiprocessing programming in C/C++ and Fortran on many architectures, including Unix and Microsoft Windows platforms. ... Message Passing Interface (MPI) is both a computer specification and is an implementation that allows many computers to communicate with one another. ... Intel Threading Building Blocks (also known as TBB) is the name of a C++ template library developed by Intel for writing software programs that take advantage of multi-core processors. ...