Blacklight Supercomputer Powers Up in Pittsburgh

Blacklight Supercomputer

Blacklight: The SGI Altix UV1000 system

Blacklight, a new shared-memory supercomputer at the Pittsburgh Supercomputing Center (PSC), is up and running and U.S. scientists and engineers are already making productive use of it.

Using 512 eight-core Intel Xeon 7500 (Nehalem) processors (4,096 cores) with 32 terabytes of memory, Blacklight is partitioned into two connected 16-terabyte coherent shared-memory systems — creating the two largest coherent shared-memory systems in the world, according to the PSC.

Acquired with help from a National Science Foundation $2.8M award, the supercomputer features SGI’s (SGI) newest scalable, shared-memory computing platform and associated disks.

“Because of the extraordinary memory size and relative ease of programming made possible by this system’s shared-memory structure, scientists and engineers will be able to solve problems that were heretofore intractable,” said PSC scientific directors Michael Levine and Ralph Roskies in a joint statement. “For many research communities — including data analysis and many areas of computer science — it will open the door to use of high-performance computation and thereby expand the abilities of scientists to ask and answer questions.”

Powering Up Multiple Research Projects
Eighteen research groups have already begun to use the supercomputer for projects in machine learning, natural language processing, software security, analysis of molecular biology simulations, extreme-scale performance engineering, chemistry, fluid dynamics, the early universe, condensed matter, seismic analysis, and genomics.

“We eagerly look forward to the breakthroughs in science, engineering and finance that will be enabled by this new and novel capability,” said Dr. Eng Lim Goh, chief technology officer at SGI.

“Shared memory” means that a system’s memory can be directly accessed from all of its processors, as opposed to distributed memory (in which each processor’s memory is directly accessed only by that processor). Because all processors share a single view of data, a shared memory system is, relatively speaking, easy to program and use. Coherence, a feature related to the synchrony of read-write operations by different processors within the system, is important for rapid expression of algorithms and in many large data-analysis tasks.

Tip of the hat to CNET for “SGI’s old-school supercomputer now revved up.”

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About the Author

Colleen Miller is a journalist and social media specialist. She has more than two decades of writing and editing experience, with her most recent work dedicated to the online space. Colleen covers the data center industry, including topics such as modular, cloud and storage/big data.

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