Faculty Head, Computer Science in EECS, and Professor, Department of Electrical Engineering and Computer Science
Arvind is the Charles W. and Jennifer C. Johnson Professor of Computer Science and Engineering in the Department of Electrical Engineering and Computer Science (EECS) at MIT, as well as a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). As part of the School of Engineering and Schwarzman College of Computing, he heads the computer science (CS) unit within EECS. Arvind’s research concentrates on the specification and synthesis of complex digital systems, including microprocessors and accelerators, using a formalism known as guarded atomic actions. Previously, his interests have included all aspects of parallel computing and declarative programming languages. He has contributed to the development of dynamic dataflow architectures, the implicitly parallel programming languages Id and pH, and the compilation of these types of languages on parallel machines. Arvind received his PhD and MS in computer science from the University of Minnesota and his B. Tech. in electrical engineering from the Indian Institute of Technology, Kanpur. He is a fellow of IEEE and ACM, and a member of the National Academy of Engineering and the American Academy of Arts and Sciences.
- Xu, S., Bourgeat, T., Huang, T., Kim, H., Lee, S., Arvind (2020). AQUOMAN: An Analytic-Query Offloading Machine. 53rd Annual IEEE/ACM International Symposium on Microarchitecture.
- Chung, C., Koo, J., Im, J., Arvind, Lee, S. (2019). LightStore: Software-defined Network-attached Key-value Drives. Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).
- Jun, S. W., Wright, A., Zhang, S., Xu, S., Arvind (2018). GraFBoost: Using accelerated flash storage for external graph analytics. ACM/IEEE 45th Annual International Symposium on Computer Architecture.
December 5, 2019: MIT News, Restructuring the MIT Department of Electrical Engineering and Computer Science.
April 2, 2019: MIT News, Advance boosts efficiency of flash storage in data centers.
August 30, 2017: MIT News, Making data centers more energy efficient.