Parallel processing is a method in computing of running two or more processors, or CPUs, to handle separate parts of an overall task. Breaking up different parts of a task among multiple processors ...
Based on recent Storage Performance Council SPC-1 benchmark results, we are poised for a watershed moment in data storage performance. You could call it -- as the leader in the new technology, ...
A superparallel future may need new languages, but for now there's Milk, MIT's big data acceleration system that works with tools in existing C/C++ applications Earlier this week, MIT’s Computer ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. David Chisnall discusses how the CHERI ...
Database vendor Sybase is upgrading its column-oriented database, Sybase IQ, to run on a massively parallel processing (MPP) architecture. The company announced the beta of the new Sybase IQ, version ...
HPCC Systems (High Performance Computing Cluster), a dba of LexisNexis Risk Solutions, is an open-source big-data computing platform. Flavio Villanustre, vice president technology and CISO at ...
Michael V. DiStefano, CEO at consultancy Integrasoft, discusses how grid computing needs a parallel, easily accessible distributed data layer. Grid computing evolved in the scientific and defense ...
In my previous article, I discussed the role of data management innovation in improving data center efficiency. I concluded with words of caution and optimism regarding the growing use of larger, ...
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