Tag: data management
ISC events, the organizers of the International Supercomputing Conference (ISC) and ISC Cloud proudly announce a new conference series – the ISC Big Data Conference. Over the course of two days, the forum will scrutinize all facets of big data in order to empower practitioners and vendors who want to learn more about this rapidly evolving set of technologies.
In this paper, we propose a parallel approach that balances the utilization of CPU and many-core GPUs for efficient similarity search with the Signature Quadratic Form Distance
Register today for the next two webinars in the very popular GTC Express webinar series. Martin Peniak and Anthony Morse from the University of Plymouth (UK) will present Aquila: An Open-Source GPU-Accelerated Toolkit for Cognitive and Neuro-Robotics Research.
The scope of the workshop includes both fundamental algorithmic problems involving massive data, as well as algorithms for more specialized problems in, e.g., graphics, databases, statistics and bioinformatics.
This paper introduces efficient parallel algorithms for the decoding process of random linear network coding.
Modern science is approaching the point where novel computational algorithms and tools, combined with computational thinking, will become as indispensable as mathematics. This trend is being driven by the fact that scientific datasets across a range of fields are doubling in size every year.
The objective of this one-day workshop is to investigate opportunities in accelerating data management systems and workloads using various processor architectures (Multi-core CPUs, Many-core GPUs, and FPGAs), storage systems, and multicore programming strategies like OpenCL.