Visit additional Tabor Communication Publications
August 14, 2012
Aug. 14 -- Penguin Computing, a leading provider of on-demand High Performance Computing services in the cloud, and Numira Biosciences, a leader in 3D imaging solutions for Pre-Clinical Life Sciences, announced a formal partnership to bring graphics-intense data on-demand to Life Sciences customers. This unique platform will leverage a convergence of enabling technologies from Penguin Computing's HPC as a Service offering, POD; Numira Biosciences’ AltaPortal product; and Nvidia’s GPU technology to deliver advanced pre-clinical imaging services to researchers at pharmaceutical and biotechnology companies around the globe.
Researchers will benefit from the cutting edge graphics, GPU power, global accessibility and reliability of Penguin Computing's HPC as a Service platform, POD. Numira's AltaPortal product provides a secure web interface for managing projects and exploring datasets, media and documents. By leveraging POD, AltaPortal will enable researchers to interactively navigate rich 3D data from microCT scans with overlaid analytics customized to the task at hand. The data will be delivered as a media stream to the client's web browser, eliminating the need to transfer large and potentially proprietary datasets over networks, and allowing them to be secured in a central location.
"Penguin has enjoyed steady growth in the genomics sector with its POD offering. Adding Numira's medical imaging software and services to our POD partner portfolio will enhance our breadth in the bioinformatics market and further establish POD as a destination for that set of users" said Matt Jacobs, SVP of Corporate Development for Penguin Computing.
"At Numira we’ve built our reputation delivering rich quantitative analytics for preclinical medical imaging. With our AltaPortal web service, we’re taking it to the next level; our customers will be able to interactively explore and quantitatively assess their preclinical imaging data with our custom 3D visual analytic tools. Penguin’s POD service offers the ideal platform for our rendering-on-demand engine,” said David Weinstein, Numira’s Chief Technology Officer.
About Penguin Computing
For well over a decade Penguin Computing has been dedicated to delivering complete, integrated Enterprise and High Performance Computing (HPC) solutions that are innovative, cost effective, and easy to use. Penguin offers a complete end-to-end portfolio of products and solutions including workstations, rackmount servers, custom server designs, power efficient rack solutions and turnkey clusters. Penguin also offers the Scyld suite of software products for efficient provisioning and infrastructure monitoring. Additionally, Penguin Computing on Demand (POD), is a public HPC cloud that is available instantly and as needed. Penguin counts some of the world’s most demanding organizations as its customers, including AOL, Yelp, Caterpillar, Life Technologies, Dolby, Lockheed Martin and the US Air Force.
Penguin Computing is a registered trademark of Penguin Computing, Inc. Penguin on Demand is a pending trademark in the US. All other trademarks are property of their respective owners. Other product or company names mentioned may be trademarks or trade names of their respective companies.
About Numira Biosciences
Numira is a rapidly growing provider of specialty contract research services to the pharmaceutical and medical device industries. Through the combination of several novel technologies and capabilities, we provide clients with an unmatched array of pre-clinical services for their drug development programs in inflammation, cardiovascular, oncology, pulmonary, renal, bone, and others. Moreover, we are a recognized leader in high-resolution, 3D quantitative imaging and high-performance computing. Numira, a privately held company, is venture-backed by Signal Peak Ventures, the Tech Coast Angels, Pasadena Angels, and Crocker Ventures. For more information on Numira, please visit www.numirabio.com.
Source: Penguin Computing
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).
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
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.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
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.