Commodity computing (also known as commodity cluster computing) involves the use of large numbers of already-available computing components for parallel...

mainframes has led to a so-called gameframe. Channel I/O Cloud computing Commodity computing Computer types Failover Gameframe List of transistorized computers...

A Beowulf cluster is a computer cluster of normally identical, commodity-grade computers networked into a small local area network with libraries and...

Advanced Computing Environment (ACE) was defined by an industry consortium in the early 1990s to be the next generation commodity computing platform,...

System, a stock-trading system Advanced Computing Environment, an early 1990s initiative for commodity computing hardware Agent-based computational economics...

operating system or on ONTAP 9. Data ONTAP was made available for commodity computing servers with x86 processors, running atop VMware vSphere hypervisor...

of performance.[citation needed] PowerFlex is bundled with Dell commodity computing servers (officially called VxFlex Ready Nodes, PowerFlex appliance...

Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes...

Supercomputer), extensively—its software architecture runs from commodity computing clusters to provide high-performance, data-parallel processing for...

(High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform developed...

IBM PC compatible Pocket PC Windows Mobile Network effect Computing platform Commodity computing PowerPC Dominant design "Windows + Intel = Wintel?". Mayin...

Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system...

configuration Commercial off-the-shelf Government off-the-shelf Commodity computing Out-of-box experience "What is out of the box? - Definition from...

of the analytical engine's computing unit (the mill) in 1888. He gave a successful demonstration of its use in computing tables in 1906. In his work...

parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has long been employed in high-performance computing, but has...

Computing is any goal-oriented activity requiring, benefiting from, or creating computing machinery. It includes the study and experimentation of algorithmic...

computing whereby a "super virtual computer" of many loosely coupled volunteer computing machines performs very large computing tasks. Grid computing...

model. Hadoop was originally designed for computer clusters built from commodity hardware, which is still the common use. It has since also found use on...

"open systems" operating system on commodity microprocessor hardware that would give business applications computing power and throughput that previously...

Browser-based computing is the use of the web browsers to perform computing tasks. Opportunities for computing on the Web have been noted as far back as...

In computing, a cache (/kæʃ/ KASH) is a hardware or software component that stores data so that future requests for that data can be served faster; the...

commodity computers, particularly the PC clone but also the minicomputer allowed services to be hosted on-premises. Batch processing Cloud computing Grid...

Hybrid-core computing is the technique of extending a commodity instruction set architecture (e.g. x86) with application-specific instructions to accelerate...

Confidential computing is a security and privacy-enhancing computational technique focused on protecting data in use. Confidential computing can be used...

(PDF) (Report). Retrieved August 28, 2022. "TOSS: Speeding Up Commodity Cluster Computing". Lawrence Livermore National Laboratory. Retrieved August 28...

Art". EVA London 2013 Conference Proceedings. Electronic Workshops in Computing. British Computer Society. pp. 267–274. Corey, Robert B.; Pauling, Linus...

and scheduled by software. The newest manifestation of cluster computing is cloud computing. The components of a cluster are usually connected to each other...

hardware. The company instead provides software that run on lower-cost commodity computing hardware, a model later called software-defined storage. Much of...

The history of computing is longer than the history of computing hardware and modern computing technology and includes the history of methods intended...

introduced the DirectCompute GPU computing API, released with the DirectX 11 API. Alea GPU, created by QuantAlea, introduces native GPU computing capabilities...