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 ...

Many programs have a tough time spanning across high levels of concurrency, but if they are cleverly coded, databases can make great use of massively parallel compute based in hardware to radically ...

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 ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.

NVIDIA has launched an open source project called Real-time Acceleration Platform for Integrated Data Science (RAPIDS) that aims to deliver end-to-end data science infrastructure based on GPUs.