Supertech Research Group

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Revision as of 21:57, 28 February 2011

Supertech is a research group in MIT's Computer Science and Artificial Intelligence Laboratory. The Supertech Research Group investigates the technologies that support scalable high-performance computing, including hardware, software, and theory. The goal is to make scalable computing simpler, faster, and more effective. The group is currently engaged in a major effort to develop architectural and system-software support for unbounded transactional memory. The group also is studying adaptive computing, race detection, cache-oblivious algorithms, and distance-education technologies.


In the News...

"Retooling Algorithms", MIT News Office, February 25, 2011
Charles Leiserson and his team are experts at designing parallel algorithms - including one for a chess-playing program that outperformed IBM's Deep Blue.

Research Support

Support for Supertech is provided in part by the National Science Foundation (NSF) under Grants

  • 1017058 (CSR: Small: Using Thread-Local Memory Mapping to Support Memory Abstractions for Dynamic Multithreading), and
  • 0937680 (HECURA: Collaborative: Multidimensional and String Indexes for Streaming Data).

Previous NSF grants have included 0324974, 0305606, 0540248, 0541209, 0621511, and 0615215.

Opportunities For Students

Current Positions: B = Bachelor's | M = Master's | P = Ph.D.

We are seeking undergraduates interested in parallel programming and algorithms. (B)


  • Resume
  • Grade report
  • Sample of your code (preferably C)
  • Sample of your technical writing
  • Cover note with any additional information

Please send these materials to Professor Leiserson.

Contact Us

Supertech can be reached through

Marcia Davidson
MIT Computer Science and Artificial Intelligence Laboratory
The Stata Center, Building 32-G764
32 Vassar Street
Cambridge, MA 02139 USA
Tel: 617-253-2322
For information on Supertech or this website, please email Marcia Davidson.

Our group is located in the Ray and Maria Stata Center (MIT Building 32), on the 7th floor of the Gates tower. Detailed directions to CSAIL are available.

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