When it comes to HPC, the accelerator market is largely dominated by GPUs, which are known for floating point performance prowess with IDC figures pointing to encroaching competition from Xeon Phi. FPGAs, while still a third-place contender, might have a rather remarkable year ahead in terms of their reach into wider markets, as well as Read more…
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Convey_boards.jpg” alt=”” width=”98″ height=”85″ />Last week at SC12 in Salt Lake Convey pulled the lid off its MX big data-driven architecture designed to shine against graph analytics problems, which were at the heart of the show’s unmistakable data-intensive computing thrust this year. The new MX line is designed to exploit massive degrees of parallelism while efficiently handling hard-to-partition big data applications.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Convey_HC-2.bmp” alt=”” width=”141″ height=”61″ />Convey Computer has launched its newest x86-FPGA “hybrid-core” server. Dubbed HC-2, it represents the first major upgrade of the system since the company introduced the HC-1 product back in 2008. The new offering promises much better performance, but with a similar price range as the original system.
Advanced architectures based on reconfigurable computing can reduce application run times from hours to minutes and address problem sizes unattainable with commodity servers. The Convey hybrid-core computer systems combine the ease-of-deployment of a commodity server with the acceleration possible with reconfigurable, application-specific hardware. The resulting acceleration greatly reduces cost of ownership (by reducing many racks of commodity systems to just a few), and fundamentally improves research quality by allowing more accurate, previously impractical approaches.
Convey recently noted that HPC is “no longer just numerically intensive, it’s now data-intensive—with more and different demands on HPC system architectures.” They claim that the “whole new HPC” that is gathered under the banner of data-intensive computing possesses a number of unique characteristics and see unique opportunities for all the of the data, and new memory and co-processor architectures.