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 ...

In this video from FOSDEM 2020, Frank McQuillan from Pivotal presents: Efficient Model Selection for Deep Neural Networks on Massively Parallel Processing Databases. In this session we will present an ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...

Targeted at image-processing applications, the CW4011 visual signal processor (ViSP) is the first implementation of an embeddable core developed by ChipWrights Inc. of Newton, Mass. This core supports ...

The objective of this paper is to provide a high-level process of designing and implementing an Audio Algorithm, specifically written for Soc’s multi-core, low-power audio processing DSP processors.

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 ...

PORTO SALVO, Portugal — April 17, 2007 — Microsoft Portugal today launched a High Performance Computing Lab for the development of Hipercâmbio – High Performance Computing Applied to Medical Data and ...

Parallel processing will be one of the key technologies under development this year with UK companies Clearspeed, Picochip and XMOS expected to play a leading part. A good deal of interest in 2007 ...

Matter gets weird at the quantum scale, and among the oddities is the Efimov effect, a state in which the attractive forces between three or more atoms bind them together, even as they are excited to ...