Dataflow architecture is a dataflow-based computer architecture that directly contrasts the traditional von Neumann architecture or control flow architecture...

computing, dataflow is a broad concept, which has various meanings depending on the application and context. In the context of software architecture, data...

data flowing between operations, thus implementing dataflow principles and architecture. Dataflow programming languages share some features of functional...

run faster. Dataflow architecture processors used for AI serve various purposes with varied implementations like the polymorphic dataflow Convolution...

architecture Comparison of CPU architectures Computer hardware CPU design Dataflow architecture Floating point Flynn's taxonomy Harvard architecture (Modified)...

"datastream" for replacing the term dataflow to avoid confusion with dataflow computing or dataflow architecture, based on an indeterministic machine...

workload must then be mapped onto the processing elements using specialized dataflows. Formulating a mapping involves the assignment of each operation to a...

environment. Dataflow is suitable for large-scale, continuous data processing jobs, and is one of the major components of Google's big data architecture on the...

or spatial designs and focus on low-precision arithmetic, novel dataflow architectures, or in-memory computing capability. As of 2024[update], a typical...

BMDFM running on various operating systems Binary Modular Dataflow Machine (BMDFM) is a software package that enables running an application in parallel...

of distributed computing conferences Loop-level parallelism Manchester dataflow machine Manycore Parallel programming model Parallelization contract Serializability...

instruction word (VLIW) Explicitly parallel instruction computing (EPIC) Dataflow architecture V. Guzma, P. Jääskeläinen, P. Kellomäki, and J. Takala, “Impact...

execution. Dataflow theory later built upon these, and Dataflow architectures were created to physically implement the ideas of dataflow theory. Beginning...

execution is a restricted form of dataflow architecture, which was a major research area in computer architecture in the 1970s and early 1980s. Arguably...

greater emphasis on on-chip dataflow between many parallel execution units with scratchpad memory, like a spatial architecture or a manycore DSP. But, like...

Burroughs B5000 and other computers such as the B1700, a co-inventor of dataflow architecture, and an influential professor at the University of Utah. His students...

Cray X-MP, Y-MP, 2; Sequent, Encore Alliant, DEC DEC VAX-11/784, dataflow architectures, KSR1, Inmos Transputers, and systolic arrays. The requirements...

March 1, 2022, Groq acquired Maxeler Technologies, a company known for its dataflow systems technologies. On August 16, 2023, Groq selected Samsung Electronics...

product, the Ara-1 Edge AI Processor. The product uses a polymorphic dataflow architecture. The Ara-2 was launched in December 2023 and is 5 to 8 times faster...

SIGNAL is a programming language based on synchronized dataflow (flows + synchronization): a process is a set of equations on elementary flows describing...

investigations in dataflow-based workflows or programs. Since then his thesis has been used as "prior art" in order to quash lawsuits about dataflow ideas today...

Security Infrastructure (GSI) Open Grid Services Architecture (OGSA) Common Object Request Broker Architecture (CORBA) Open Grid Services Infrastructure (OGSI)...

message-passing standard designed to function on parallel computing architectures. The MPI standard defines the syntax and semantics of library routines...

least as fundamental to the architectural design as structural considerations are. Thus, the design of dataflow architectures and reduction machines is...

a few personal computers connected by a simple network, the cluster architecture may also be used to achieve very high levels of performance. The TOP500...

with custom dialects and transformation passes tailored to the dataflow architecture and compilation constraints of AIE hardware. MLIR-AIE enables software...

Dataflow architectures are another class of architectures where ILP is explicitly specified; for a recent[when?] example, see the TRIPS architecture....

processing (SIMT) Pipelined processing Associative processing MISD MIMD Dataflow architecture Pipelined processor Superscalar processor Vector processor Multiprocessor...

led to research into parallel computing, including non-von Neumann or dataflow models that did not use a PC; for example, rather than specifying sequential...

News". www.allaboutcircuits.com. Moore, Samuel K. (24 July 2025). "Electron E1: Efficient Dataflow Architecture - IEEE Spectrum". spectrum.ieee.org....