Visit additional Tabor Communication Publications
July 17, 2012
Allan Snavely, the CTO of Lawrence Livermore National Laboratory, died unexpectedly last Saturday of an apparent heart attack. Snavely, was a well-regarded HPC expert and a co-creator of the “Gordon” supercomputer at the San Diego Supercomputer Center (SDSC). Along with his colleagues, Snavely won the SC09 storage challenge award for an early version of that system. U-T San Diego published an article on Tuesday, recounting his accomplishments.
Snavely received his undergraduate, master’s and doctorate degrees from the University of California, San Diego. In 1994 he began working at the university’s San Diego Supercomputer Center. Along with Laura Carrington, he co-founded the Performance Modeling and Characterization laboratory in 2001.
One of the lab’s main objectives is to improve supercomputing speed and sophistication. Along with her associates, Carrington is attempting to optimize the interaction between supercomputing hardware and applications. In 2007 and 2008, she and Snavely were finalists for the Gordon Bell Prize.
In May of this year, Snavely left SDSC to join Lawrence Livermore National Laboratory as its new chief technology officer. The position allowed him to work at a DOE site with a stellar reputation in supercomputing, while still maintaining his connection with SDSC. Part of his new duties at the lab involved exascale research.
During a recent visit to SDSC, Snavely drew up a prototype for an updated, more powerful version of the Gordon supercomputer. According to center director Mike Norman, they might end up building such a system based on that sketch.
Allan Snavely was 49 years old and is survived by his 9-year-old daughter and his wife Nancy of 22 years. She recognized his passion for supercomputing, remarking, “I think he just loved the invention process. Problem-solving was his favorite thing.”
A memorial service will be held on August 12th and some faculty members at UC San Diego plan to hold a fall seminar in Snavely’s memory.
Full story at U-T San Diego
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.