Tag: data management
ISC Big Data conference
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.
Combining CPU and GPU architectures for fast similarity search
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
Two upcoming GTC Express webinars: Biologically-inspired modeling and Data matching on GPU
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.
GPU Acceleration of Functional Neuroimaging
GPUs accelerate functional neuroimaging, by using three GPUs, 850 TB of data can be analyzed in 10 days, compared to 100 years with conventional software!
MASSIVE 2012: Fourth Workshop on Massive Data Algorithmics
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.
Accelerated Network Coding with Dynamic Stream Decomposition on GPU
This paper introduces efficient parallel algorithms for the decoding process of random linear network coding.
Extreme Data-Intensive Scientific Computing
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.
IBM Files Patent For GPU-Accelerated Databases
IBM has an idea how database access and data processing can be accelerated. IBM wants to take advantage of graphics processors to launch and execute database queries.
First International Workshop on Accelerating Data Management Systems (ADMS 10)
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.
