Daniel Sanchez, the TIBCO Career Development Professor in MIT’s Electrical Engineering and Computer Science Department and principal investigator in the MIT Computer Science and Artificial Intelligence Lab (CSAIL) has been selected for the NSF Faculty Early Career Development (CAREER) Award.
His proposal, titled "A Hardware and Software Architecture for Data-Centric Parallel Computing", targets two key challenges that limit the scalability of multicore systems: the dominant and growing costs of data movement over computation, and the limited types of parallelism that current systems can exploit. To address these challenges, this project takes a cross-layer approach that tightly integrates hardware and software techniques, spanning scalable memory systems with predictable performance; programmable accelerators that perform fine-grain movement of tasks and data across the system; and a software runtime that exploits irregular, fine-grain parallelism, and leverages application structure and hardware support to minimize data movement.
As a principal investigator in the MIT Computer Science and Artificial Intelligence Lab (CSAIL), Sanchez focuses his research on computer architecture and systems, currently including large-scale multicores with hundreds to thousands of cores, scalable and efficient memory hierarchies, architectures with quality-of-service guarantees, and scalable runtimes and schedulers. Before joining MIT in September 2012, he earned his PhD in Electrical Engineering from Stanford University, where he worked with Professor Christos Kozyrakis.
The CAREER Program offers the National Science Foundation’s awards in support of junior faculty who exemplify the role of teacher-scholars through outstanding research, education and the integration of education and research within the context of the mission of their organizations. The aim is for building a lifelong leadership role in integrating education and research.