November 20, 2009
Despite all the all the recent hoopla about GPGPUs and eight-core CPUs, proponents of reconfigurable computing continue to sing the praises of FPGA-based HPC. We got the opportunity to ask Dr. Alan George, who runs the NSF Center for High-Performance Reconfigurable Computing, about the work going on there and what he thinks the technology can offer to high performance computing users. Read more…
November 18, 2009
Mitrionics has begun work on an experimental compiler that aims to make parallel programming architecture-agnostic. We asked Stefan Möhl, Mitrionics' chief science officer and co-founder, what's behind the new technology and what prompted the decision to expand beyond their FPGA roots. Read more…
December 3, 2008
With all the recent hoopla about GPU-accelerated HPC, reconfigurable computing with Field Programmable Gate Array (FPGA) has been getting proportionally less attention. While NVIDIA has led the GPU push in HPC, there is no single vendor in the reconfigurable computing space that has jumped into the driver's seat. That hasn't kept a variety of smaller players from trying. Read more…
November 17, 2008
The HPC community has been dabbling with Field Programmable Gate Arrays (FPGAs) for several years now, but the technology has never reached escape velocity. But at SC08 this week, startup Convey Computer Corp. launched a new server and software stack that aims to tame FPGAs and deliver reconfigurable computing to everyday HPC users. Read more…
Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.
From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.
As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.
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