December 13, 2004
Powerllel is now ASPEED Software. This name change reflects the company's emphasis on application acceleration. The company's specific focus is on software that enables application owners to expedite the migration of computationally intensive applications -- no matter how complex -- to cluster and Grid configurations and then to ensure ongoing optimum response times and scalability.
Since receiving venture funding early this year, ASPEED has worked closely with key financial and pharmaceutical companies to create an algorithm-aware software product, ACCELLERANT, which easily adapts and accelerates algorithm-intensive applications to exploit cluster and Grid configurations. ACCELLERANT offers the only viable and repeatable solution for quickly achieving predictable and scalable response time improvements, while maintaining computational integrity in Grid and cluster environments. ACCELLERANT enables programmers to quickly adapt the most complex application, model or simulation without changing the logic, immediately realizing significant and scalable run time reductions.
ASPEED's ACCELLERANT is already used by several of the world's largest banks, where it ensures optimal run times for critical business applications including risk management, portfolio optimization and pricing. The software has proven to be equally as effective in accelerating single-thread applications by exploiting multi-CPU and workgroup configurations, as well as accelerating applications originally designed to run on high-end Symmetric Multi-Processor UNIX-based configurations, by quickly exploiting cluster and Grid configurations. ASPEED's ACCELLERANT also helps companies more quickly embrace newer, faster and less expensive hardware and provides them with much desired low-cost scalability by removing the inhibitors.
"Our customers are making better decisions, because they can get the answers faster, include more data in the analysis and run more 'what ifs'. This gives them competitive advantage," said Joe McCurdy, CEO of ASPEED Software. "And they can realize this advantage in days rather than months without diverting precious technical resources."
ACCELLERANT includes all the elements to effectively distribute existing single-thread and multi-thread applications to support multi-CPU, cluster and Grid configurations. This includes data movement services including serialization and un-serialization, random number generators, algorithm-aware adapters for effectively handling linear, e.g. Monte Carlo; non-linear, e.g. quasi-Newtonian and complex geometric algorithms, e.g. trees algorithms; as well as the appropriate middleware to ensure efficient and effective communications among the distributed instances.
ASPEED Software was founded in 2002 and is based in New York. The team is comprised of well-seasoned experts in numerical analysis, business and scientific modeling, and experienced "quants," distributed systems technologists and application software developers. ASPEED received $5.6 million in funding from Castile Ventures and Kodiak Venture Partners earlier this year.
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.