vector processing

vector processing

[′vek·tər ′prä‚ses·iŋ]
(computer science)
A procedure for speeding the processing of information by a computer, in which pipelined units perform arithmetic operations on uniform, linear arrays of data values, and a single instruction involves the execution of the same operation on every element of the array.

vector processor

A CPU that performs computations on more than one number or set of data simultaneously. A vector processor is known as a "single instruction stream multiple data stream" (SIMD) CPU. Contrast with scalar processor. See GPU, vector and pipeline processing.
References in periodicals archive ?
In addition to this, Fujitsu worked with Arm to contribute to the Scalable Vector Extension (SVE) in the Armv8-A architecture, which significantly extends the vector processing capabilities for HPC systems, and adopted the results.
It is a significant endorsement of SSB's platform for viral vector processing and the single-use design capabilities of the Sartorius Integrated Solutions engineering team.
The in-network computing and PeerDirect capabilities of InfiniBand are the perfect complement to the unique vector processing engine architecture we have designed for our SX-Aurora TSUBASA platform.
The Chinese company unveiled its frequency division duplex LTE (FDD-LTE) Massive MIMO solution, powered by its MSC2.0 vector processing chip, at the end of last year after trialling it with China Unicom and China Telecom.
Vector processing, run at high speed on the GPU of an embedded computer, performs Fourier analysis of your music as it streams then rebuilds it in real time to reach your ears with restored pitch, clarity, EQ, and balance.
The z13 features one of the fastest microprocessor, which is twice faster than the most common server processors, supports 300 percent more memory, 100 percent more bandwidth and vector processing analytics to speed mobile transactions.
Most of these techniques use vector processing approach as it is widely accepted that it is more suitable than component-wise filtering approach, which can generate color artefacts in filtered images.
Not only does this reduce the operation count, but it also allows the processor to make better use of its SIMD (i.e., vector processing) capabilities.
It has 32 cores and combines vector processing units with standard CPU cores.
emulating a standard vector processing programming model) to complete algorithms using a Multiple Instruction Multiple Data (MIMD) programming model.