“Enabling Scale-Up, Scale-Out, and Scale-Deep for Big Data”
Dr. Jeremy Kepner / MIT Lincoln Laboratory Fellow / MIT Lincoln Laboratory Supercomputing Center Head
Big Data volume, velocity, and variety challenges have led to a proliferation of computing hardware and software solutions. Hyperscale data centers, accelerators, and programmable logic can deliver enormous performance via a wide range of analytic environments and data storage technologies. Effectively exploiting these capabilities for science and engineering requires mathematically rigorous interfaces that allow scientists and engineers to focus on their research and avoid rewriting software each time computing technology changes. Mathematically rigorous interfaces are at the core of the MIT Lincoln Laboratory Supercomputing Center (LLSC) and enable the LLSC to deliver leading edge technologies to thousands of scientists and engineers. This talk discusses the rapidly evolving computing landscape and how mathematically rigorous interfaces are the key to exploiting advanced computing capabilities.