GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

In any design verification project, many times, there is a need to control certain functional threads in parallel. Such threads can be used to control simultaneous stimuluses, to monitor activities on ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...

In the ever-expanding realm of data processing and analytics, two heavyweight contenders − massively parallel processing (MPP) and big data − have been vying for dominance. Each brings its own set of ...

Apple’s recently announced M3 and A17 Pro chips feature several significant improvements to parallel processing, which results in major performance gains for apps and games that utilize the Metal API.

Currently digitizers have a bottleneck caused by having to use either the host PC’s central processor with 8 or 16 cores or a FPGA that is complex to program. Spectrum Instrumentation has solved this ...