January 09, 2013
EMERYVILLE, Calif., Jan. 9 – Aspera, Inc., creators of next-generation software technologies that move the world’s large data at maximum speed, today announced the immediate availability of the latest version of its core high-speed transfer products and SDK, for both on-premise and Aspera On Demand cloud-based subscription service.
Enterprise Server, Connect Server, Point-to-Point and Client 3.1
These latest enterprise software and On Demand versions build upon fasp 3, the most universal and open core transport technology available today, with the following new capabilities:
Multi-language Connect 3.1
The latest version of Aspera’s popular high-speed Web browser plug-in now supports simplified Chinese, Japanese, French, and Spanish in addition to English. The transfer plug-in automatically sets the language based on your system's language settings and is fully compatible with the Connect 3.0 APIs for embedding fasp transport in modern web apps and all Aspera web applications including faspex and Shares.
fasp SDK 3.1 on Aspera Developer Network
A major new release of Aspera’s SDK, version 3.1, is now available on the Aspera Developer Network, with many new features, enhancements, and sample code across the entire SDK product line:
Aspera is the creator of next-generation transport technologies that move the world’s data at maximum speed regardless of file size, transfer distance and network conditions. Based on its patented fasp protocol, Aspera software fully utilizes existing infrastructures to deliver the fastest, most predictable file-transfer experience. Aspera’s core technology delivers unprecedented control over bandwidth, complete security and uncompromising reliability. More than 1,800 organizations across a variety of industries on six continents rely on Aspera software for the business-critical transport of their digital assets.
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.
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).
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.
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 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.