ASPEED Software (www.aspeed.com) announced the appointment of Andrew Sherman, an expert in applying parallel and distributed computing technologies to computational intensive financial, scientific and engineering applications, as director of software development.
Sherman brings over 25 years of industry experience in using high performance solutions to significantly boost the performance of computational and data-intensive models, ranging from portfolio balancing and energy hedging to protein modeling and drug discovery. He’ll draw on his expertise to even further extend the flexibility and compute power available to risk managers, portfolio managers, scientists and engineers who wish to focus on their business problems rather than the underlying technologies and platforms. Sherman will be based in New York and report to Kurt Ziegler, executive vice president of ASPEED.
“We’re in a sweet spot as the reliance on complex models for decision-making bumps up against the focus of making efficient use of IT resources and new commodity hardware,” said Ziegler. “Andrew’s extensive experience is an excellent addition as we continue to develop and deliver solutions helping companies reduce the inherent complexities and trade-offs in this scenario.”
ASPEED’s ACCELLERANT is the only solution that makes it possible to tap grid, cluster, multi-core and other high-performance computing environments for even the most algorithmic intense models, without re-engineering the underlying code and language. It gives organizations the ability to reach better decisions much more quickly, without sacrificing the integrity of the process.
Prior to joining ASPEED, Sherman co-founded TurboWorx, where he led the development of Java-based distributed technology, high-performance workflows and enterprise software systems for data-intensive pharmaceutical and biotechnology applications. He is the author of numerous technical articles on computational methods and high-performance solutions for large-scale scientific and engineering applications. He holds a Ph. D in computer science from Yale.