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Student Teams Prepare for Cluster Showdown

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The annual Supercomputing conference, which will be held this year Nov. 16-21 in New Orleans, Louisiana, is a can’t-miss event for the supercomputing world. It’s five days of exhibits, conferences and networking that showcase current innovations in the industry. It’s also the forum for the Student Cluster Competition (SCC), a 48-hour, nonstop challenge for 12 teams of undergraduate and/or high school students. Their mission: Assemble a small cluster computer and race to demonstrate the greatest sustained performance on several applications, three of which they’ll know in advance and one that’s a mystery until the competition starts. The only restrictions on hardware are that the teams must not exceed the 3,120-watt power limit … [Read more...]

Exascale Computing for Seismic Exploration

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The exascale race — toward machines capable of executing 1 quintillion (1018) operations per second — is well under way. The U.S., Japan, China and Europe have all established programs to enable exascale capabilities by around 2020. In the U.S., leading the charge toward significant HPC milestones usually falls to the Department of Energy (DOE): Both its Office of Science and the National Nuclear Security Administration have significant interest in and benefit from ever-increasing levels of modeling, simulation and data-processing capabilities for a variety of applications. Both can leverage critical resources (facilities and people), institutional expertise and deep know-how, if not intellectual property, in this pursuit. Not all … [Read more...]

Managing Data from High-Performance Lustre to Deep Tape Archives

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On September 17 we will present Cray’s Tiered Adaptive Storage (TAS) solution at the Preservation and Archiving Special Interest Group (PASIG) event in Germany. Session topics will include managing and preserving research data and infrastructures to support preservation of data at scale. Cray has a natural interest in contributing to these areas because a large number of our customers run Lustre® file systems. As of today, more than 120 petabytes of data capacity has been deployed on Cray supercomputers. Our customers produce enormous amounts of simulation data every day with the numerical models they use in science and engineering. Data protection policies apply to a significant portion of that data, and it frequently needs to be … [Read more...]

This Is Not Your Grandmother’s Accelerated System

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Last week we announced the GPU-dense Cray CS-Storm cluster supercomputer, a highly innovative production system for application acceleration. This system is a milestone for Cray and will provide researchers and end users with one of the most high performance systems available for accelerated application workloads. Let me describe the perfect storm of events that make NOW the right time for this type of solution.       Advanced Accelerator Technology Accelerator technology is advancing rapidly. With its ultra-fast ECC on-package memory and full double-precision floating point performance, the NVIDIA® Tesla™ K40 GPU accelerator makes it the right technology for productive work. Software Maturity and … [Read more...]

Cray’s Commitment to Lustre and OpenSFS

The information technology industry continues to evolve from simple sensors to powerful supercomputers.

At Cray, we are a big user and investor in Lustre. Because Lustre is such a great fit for HPC, we deploy it with almost all of our systems. We even sell and deliver Lustre storage independent of Cray compute systems. But Lustre is not (yet) the perfect solution for distributed and parallel-I/O, so Cray invests a lot of time and resources into improving, testing, and honing it. We collaborate with the open-source Lustre community on those enhancements and development. In fact, Cray is a leader in the Lustre community through our involvement in OpenSFS. OpenSFS is a nonprofit technical organization focused on high-end open-source scalable file system technologies, primarily Lustre. OpenSFS aims to foster collaboration among entities … [Read more...]