September 24, 2008
Can hardware acceleration save Wall Street? Well, not as quickly as a multibillion-dollar bailout might, but there was plenty of discussion at this week's HPC on Wall Street conference about the advantages specialized hardware can bring to market analysts and traders. Sellers of these products were all over the place, their booths were busy, and several sessions on the subject were standing-room only. Read more…
September 23, 2008
When profits drop, businesses look to boost productivity and performance -- and nowhere is that demand more urgent right now than on Wall Street. Yesterday, about 60 blocks north of the scene of the recent financial meltdown, Microsoft announced it has released its latest product to provide that boost: Windows HPC Server 2008. Read more…
September 22, 2008
Despite the carnage from this year's financial crisis, the arms race in algorithmic trading is likely to continue. Behind that competition are a variety of high performance computing technologies, such as commodity clusters, FPGA accelerators and Blue Gene supercomputers. One of the new kids on Wall Street is GPU computing, a technology that is making inroads across nearly every type of HPC application. 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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