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)...

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

LeCun (implemented in FPGA) for accelerating convolutions, using a dataflow architecture. Mobileye EyeQ, by Mobileye Programmable Vision Accelerator (PVA)...

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

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

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