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…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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