November 18, 2010
The increased awareness in the HPC community of the need to maximize energy efficiency in compute-intensive environments has never been greater. With The Green500 results coming out this week, HPCwire's Caroline Connor turned to Professor Wu Feng from Virginia Tech, the man largely credited with the movement towards environmentally-sustainable supercomputing. Read more…
November 17, 2010
Interpreted programming languages usually don't find too many friends in high performance computing. Yet Python, one of the most popular general-purpose interpreted languages, has garnered a small community of enthusiastic followers. True believers got the opportunity to hear about the language in the HPC realm in a tutorial session on Monday and a BoF session on Wednesday. Argonne National Lab's William Scullin, who participated in both events, talked with HPCwire about the status of Python in this space and what developers might look forward to. Read more…
November 16, 2010
Although the parallel programming landscape is relatively young, it's already easy to get lost in. Beside legacy frameworks like MPI and OpenMP, we now have NVIDIA's CUDA, OpenCL, Cilk, Intel Threading Building Blocks, Microsoft's parallel programming extensions for .NET, and a whole gamut of PGAS languages. And according to Intel's Tim Mattson, that's not necessarily a good thing. Read more…
November 16, 2010
NVIDIA's CUDA is easily the most popular programming language for general-purpose GPU computing. But one of the more interesting developments in the CUDA-verse doesn't really involve GPUs at all. In September, HPC compiler vendor PGI (The Portland Group Inc.) announced its intent to build a CUDA compiler for x86 platforms. The technology will be demonstrated for the first time in public at SC10 this week in New Orleans. 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.
From scale-out clusters on commodity hardware, to flash-based storage with data temperature tiering, cloud-based object storage, and even tape, there are a myriad of considerations when architecting the right enterprise storage solution. In this round-table webinar, we examine case studies covering a variety of storage requirements available today. We’ll discuss when and where to use various storage media in accordance with use cases, and we’ll look at security challenges and emerging storage technology coming online.
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