October 02, 2012
CAMBRIDGE, Mass., Oct. 2 — Permabit Technology Corporation, the recognized leader in data efficiency technology, today announced that its Albireo Data Optimization Software has been named a finalist in the Storage Software Appliance Solution of the Year of the 2012 Storage Virtualization & Cloud Awards.
The SVC Awards reward the products, projects and services, as well as honor the teams operating the cloud, virtualization and storage fields. Permabit Albireo is one of six products chosen for in the Storage Software Appliance Solution of the Year by a panel of respected editors and analysts. The winner will be selected by a vote from the general public, which is open now through October 17. Winners will be revealed at a gala ceremony at the Pullman London St. Pancras November 22.
Permabit Albireo is the industry's first-and-only embedded data optimization software for OEMs, delivering data reduction rates of 5 to 35X and with throughput now exceeding 400 GB/sec at petabyte scale. Albireo optimizes data across a wide range of installations from SOHO/SMB appliances to enterprise flash and Solid State Devices (SSD), high-performance enterprise storage, big data solutions and cloud services.
"Permabit Albireo continues to be recognized throughout the industry for its ability to provide efficiency, scalability and performance capacity unlike any other solution on the market today," said Tom Cook, Permabit CEO. "We are pleased to be once again honored for our achievements by being named a finalist in the SVC Awards. "
Being named a finalist of the SVC Awards is the latest honor for Permabit, which has been received substantial recognition this year alone for its products, technology and executives, including: receiving the 2012 Best of Cambridge Award; being named Top Information Management and Storage Vendor by Data Mobility Group; winning the Execullence Award as the "Coolest New Technology" provider at the ExecEvent; recognition of company CTO Jered Floyd as CTO of the Year by Network Products Guide; being a finalist in the Network Products Guide Annual Awards in the Innovative IT Company of the Year and Best Storage Solution categories; and winning the Info Security Product Guide's Global Excellence Award for Storage & Archiving.
To vote for Permabit in this year's SVC Awards, visit http://www.svcawards.com/voting. Additional information about the SVC Awards is available at http://svcawards.com/home.
Supporting Resources:
Permabit
Permabit Media Center
Careers
Albireo
Follow Permabit on Twitter
About Permabit
Permabit is a recognized leader in data efficiency technology, enabling OEMs to leverage their R&D investment, increase margin, accelerate time to market and achieve competitive advantage. Permabit Albireo software massively improves performance and efficiency of data creation, transmission and storage. Solutions built with Albireo are being delivered by leading hardware, software and service providers. Our partners include Hitachi Data Systems (HDS), LSI, and StoneFly. Permabit was founded in 2000 by a technical and business team from Massachusetts Institute of Technology. For more information, visit: www.permabit.com.
-----
Source: Permabit
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Read more...
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).
Read more...
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...
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.
Read more...
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.
Read more...
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.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.