Parallel Computing Information
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Parallel computingParallel computing is a form of computation in which many calculations are carried out ... Parallel computers can be roughly classified according to the level ...
UPCRC Illinois
The UPCRC Illinois whitepaper, Parallel Computing Research at Illinois: The ... Illinois history in parallel computing stretches more than 40 years. ...
Concurrent computing
Concurrent computing is a form of computing in which programs are designed as collections of interacting ... or executed in parallel by assigning each computational process to ...
List of distributed computing projects
Aedit A Berkeley Open Infrastructure for Network Computing ... The distributed computing function is currently suspended. Aedit A Projects in development ...
Heterogeneous computing
In general, a heterogeneous computing platform consists of processors with different ... be considered parallel computing, or multi-core (computing) systems. ...
Massively parallel
In this class of computing, all of the processing elements are connected together to be ... Massively Parallel, Optical, and Neural Computing in the United ...
Parallel processing
Parallel processing is the ability to carry out multiple operations or tasks ... In the quest of cheaper computing alternatives parallel processing provides a viable option. ...
CUDA
CUDA or Compute Unified Device Architecture is a parallel computing architecture developed by Nvidia. CUDA is the computing engine in Nvidia graphics ...
Distributed computing
Aedit A Parallel and distributed computing? Distributed systems are networked computers ... In parallel computing, all processors have access to a shared memory. ...
Quantum Byzantine agreement
The Byzantine Agreement protocol is a protocol in distributed computing. ... Quantum Computation, In 34th ACM Symposium on the Theory of Computing, STOC, pg. ...
Explicitly parallel instruction computing
Explicitly Parallel Instruction Computing (EPIC) is a term coined in 1997 by the HPa Intel alliance A1A to describe a computing paradigm that researchers ...
Beowulf cluster
The result is a high-performanc e parallel computing cluster from inexpensive personal computer hardware. ... Commonly used parallel processing libraries include Message Passing ...
Embarrassingly parallel
In parallel computing, an embarrassingly parallel workload (or ... Embarrassingly parallel problems tend to require little or no communication of results ...
EPCC
EPCC (formerly Edinburgh Parallel Computing Centre) is a supercomputing centre based at the University of ... exploitation of novel computing throughout industry, academia and ...
Vectorization (parallel computing)
Vectorization, in parallel computing, is a special case of parallelization , in which software programs that by default perform one operation at ...
Grid computing
Grid computing is a term referring to the combination of computer ... or "grid" computing, in general, is a special type of parallel computing that relies on ...
Data parallelism
Data parallelism (also known as loop-level parallelism) is a form of parallelization of computing across multiple processors in parallel computing environments. ...
Parallel
Parallel computing. Parallel (software), a UNIX utility for running programs in parallel ... "The Parallel", an episode of The Twilight Zone. Parallel 9, a British ...
List of computer science conferences
Conferences on concurrent, distributed, and parallel computing, fault-tolerant systems, and dependable ... on Parallel Processing", "European Conference on Parallel Computing" ...
Itanium
HP researchers investigated a new architecture, later named explicitly parallel instruction computing (EPIC), that allows the processor to execute ...
Task parallelism
Each parallel statement within the composition is called a branch. ... Categories: Parallel computing. Hidden categories: Articles lacking in-text citations from May 2011 | All ...
IBM Parallel Sysplex
In computing, a Parallel Sysplex is a cluster of IBM mainframes ... Used for disaster recovery, Parallel Sysplex combines data sharing and parallel computing to allow a cluster ...
Supercomputer
Some types of large-scale distributed computing for embarrassingly parallel problems take the clustered supercomputing concept to an extreme. ...
Parallel slowdown
Parallel slowdown is a phenomenon in parallel computing where parallelization of a ... Parallel slowdown is typically the result of a communications bottleneck. ...
Cloud computing
Cloud computing refers to the use and access of multiple server-based ... Grid computing a "a form of distributed computing and parallel computing, whereby a ' ...
Vector processor
The History of the Development of Parallel Computing (from 1955 to 1993) ... computing A High-performanc e computing A Cluster computing A Distributed computing A Grid computing ...
Commodity computing
Commodity computing (or Commodity cluster computing) is to use large numbers of already available computing components for parallel computing to ...
Data Intensive Computing
Data-Intensive Computing is a class of parallel computing applications which use ... Computing applications which devote most of their execution time to computational ...
Bus (computing)
Modern computer buses can use both parallel and bit-serial connections, and can be wired ... can be parallel buses, which carry data words in parallel on multiple ...
High-performanc e computing
Wiki Project Computing or the Computing Portal may be able to help ... Embarrassingly parallel A Grand Challenge A Software lockout A Scalability A Race conditions A Deadlock ...
List of important publications in computer science ...
3 Concurrent, parallel, and distributed computing. 4 Networks and ... covered: concurrent computing, parallel computing, and distributed computing. ...
Intel Parallel Studio
Its purpose is to facilitate developing programs for parallel computing. ... Parallel Studio is composed of three component parts, each of which is a collection of capabilities. ...
Open CL
Open CL (Open Computing Language) is a framework for writing programs that ... Open CL provides parallel computing using task-based and data-based parallelism. ...
Parallel algorithm
In computer science, a parallel algorithm or concurrent algorithm, as ... parallel algorithms, distributed algorithms are algorithms designed to work in cluster computing and ...