In this video, Intel’s Robert Geva and Paul Rowady from the TABB Group discuss how financial institutions can meet the daunting requirements of Big Data and new regulations by exploiting parallelism. Geva describes the specific use cases in the capital markets where parallelism can make a big difference, and those for which it is less applicable.
How can capital markets firms handle the computational challenges presented by regulatory mandates and big data? Chances are the solution will involve high-performance computing powered by parallelism, or the ability to leverage multiple hardware resources to run code simultaneously. But while hardware architectures have been moving in that direction for years, many firms’ software isn’t written to take advantage of multiple threads of execution.
Watch the video over at The TABB Forum. Note: they will only give you one page view before requiring registration.