Visit additional Tabor Communication Publications
April 24, 2012
AVON, Mass., April 24 -- Terascala, Inc., the leader in accelerating big data applications through storage I/O optimization, today announced that it has closed a $14 million Series B funding round. Strategic partners close to the company invested approximately fifty percent of the round, with Ascent Venture Partners, an early backer of the company, contributing the remainder. Terascala will use the funding to significantly expand research and development, marketing, customer support, to develop strategic alliances, and to fuel international expansion.
“We’re thrilled to close our Series B round with a significant investment from industry leaders and continued support from Ascent,” said Steve Butler, CEO of Terascala. “Our pioneering work in developing a software stack that delivers optimized, scalable I/O on industry-standard storage appliances enables organizations to accelerate big data applications, and clearly, industry leaders are taking notice.”
“Storage I/O optimization is rapidly becoming a core requirement for big data applications,” said Terri McClure, senior analyst at Enterprise Strategy Group. “Terascala is a leader in the development of solutions that address this requirement, and the fact that its product runs on an open source file system and on industry-standard platforms makes for a very compelling value proposition in a price sensitive market.”
Organizations worldwide use Terascala solutions to improve their ability to process pools of big data, which until now has been limited due to the lack of throughput abilities of standard file systems. Terascala’s unique approach to high throughput, high capacity storage combines the Lustre file system, extensive analysis and optimization tools, integration and services into a state-of-the-art solution that accelerates big data applications running on large interconnected server installations and optimizes data access.
The Terascala Integrated Storage Information System (TISIS™) provides appliance management and workload-driven I/O technology for open source Lustre, the world’s fastest parallel file system. TISIS runs on industry-standard storage appliances in a wide range of market segments, including life sciences, financial services, energy, academic research, computer-automated engineering (CAE), and government/defense.
“Terascala solutions solve a huge problem in the marketplace today,” said Walter Dick, general partner at Ascent Venture Partners. “Organizations are grappling with how to speed the delivery and analysis of big data sets. Terascala’s approach, which accelerates big data applications through storage I/O optimization, is the answer for a great number of companies.”
Terascala's high throughput storage solutions accelerate big data applications through storage I/O optimization. With Terascala, organizations can transition from simply storing and sifting their data to leveraging that data to drive applications. Terascala-based storage appliances combine a parallel file system, the company’s TISIS™ analytic and optimization tools, integration and services, to enable rapid analysis of big data sets using large interconnected server installations. Founded in 2005, Terascala is based in Avon, Mass., and counts a number of industry leaders among its partners, including Dell, EMC and NetApp. Learn more at http://www.terascala.com.
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).
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
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.