Research
Labs
Areas
II - Computer Science (Systems)
-
We study the principles, design, and engineering of computer systems, both software and hardware.
Area II web site -
In the quest for improving the speed and efficiency of multicore chips, EECS Assistant Professor Daniel Sanchez and graduate student Nathan Beckmann designed a system that moves data around multicore chips' memory banks — improving execution by 18 percent on average while increasing energy efficiency as well. They won an award for this work in 2013. Now.. Read more. -
Professor Rob Miller and members of the User Interface Design Group at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have devised a system that uses crowd-sourcing to annotate instructional videos for improved learning. Read more. -
Five members of the Electrical Engineering and Computer Science Department of a total of eight MIT faculty have been elected to the National Academy of Engineering including Hari Balakrishnan, Sangeeta Bhatia, Anantha Chandrakasan, L. Rafael Reif and Daniela Rus. Read more. -
In building multicore chips, a common inefficiency arises with the addition of more than eight cores. EECS professor Nir Shavit, principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL), a former student now at Microsoft Research and several EECS graduate students have analyzed data structures called priority codes and dodged logjams using skip code. Read more. -
A record number of Fellow selections from any single institution marks the election by the Association of Computing Machinery (ACM) of five CSAIL researchers and members of the MIT Electrical Engineering and Computer Science Department to ACM 2014 Fellow. The ACM has cited Srini Devadas, Eric Grimson, Robert Morris, Ronitt Rubinfeld and Daniela Rus for "providing key knowledge" to computing. -
Adam Chilpala, principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) and the Douglas Ross Career Development Professor of Software Technology has developed a new programming language called Ur/Web that promises to take the drudgery out of Web development. Read more. -
Vivienne Sze, core member of the Microsystems Technology Laboratories (MTL), principal investigator in the Research Laboratory of Electronics (RLE) and the Emanuel E. Landsman (1958) Career Development Professor in the Electrical Engineering and Computer Science Department (EECS), has received a 2014 Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA). Read more.MTL, RLE, I-InfoSys, I-Circuits, II-AI, II-Systems, Energy, Wireless -
At this year’s Object-Oriented Programming, Systems, Languages and Applications (OOPSLA) conference, EECS faculty member Martin Rinard and several students from his group in MIT’s Computer Science and Artificial Intelligence Laboratory presented a new system that lets programmers identify sections of their code that can tolerate inconsequential error. The system, dubbed Chisel, then determines which program instructions to assign to unreliable hardware components, to maximize energy savings yet still meet the programmers’ accuracy requirements. Read more. -
Li-Shiuan Peh, professor of electrical engineering and computer science in the EECS Department at MIT has teamed to develop a new system that directs drivers using GPS to avoid traffic congestion. The work won the group one of the best-paper awards at the Intelligent Transportation Systems World Congress last week. Read more. -
Principal investigator in MIT's Computer Science and Artificial Intelligence Lab Charles E. Leiserson is the recipient of the ACM/IEEE Computer Society 2014 Ken Kennedy Award, in recognition of his important impact on parallel computing systems. Read more. -
Getting to the source of data-visualization aberrations is a big problem in big data. EECS doctoral student Eugene Wu with Sam Madden, professor of computer science and engineering in the Computer Science and Artificial Intelligence Lab (CSAIL) have released a new tool, called DBWipes, that pinpoints aberrations and determines which data sources to investigate. Read more. -
EECS faculty members Hari Balakrishnan and Devavrat Shah with EECS graduate students Jonathan Perry, and Amy Ousterhout, and Hans Fugal of Facebook have devised a new system to reduce delay time in data center queues. Using Fastpass, the name given to the new system, the group has experimentally reduced the average queue length of routers by as much as 99.6 percent in a Facebook data center. Read more. -
The potential for multicore computing on a chip has gained new traction with the work by MIT Electrical Engineering and Computer Science (EECS) Department faculty member Li-Shiuan Peh and EECS graduate student Bhavya Daya as they present a new 36-core chip on which each core acts as a mini Internet using a router to complete a communication network for data transport, while keeping local data up to date. Read more. -
Bernard Haeupler, PhD '13, has been selected by the Association of Computing Machinery (ACM) as recipient of the 2014 Doctoral Dissertation Award in Distributed Computing. Dr. Haeupler completed his thesis “Probabilistic Methods for Distributed Information Dissemination” in June 2013 under the co-supervision of Professors Jonathan Kelner, Muriel Médard, and David Karger at MIT. -
MIT's Computer Science and Artificial Intelligence Lab (CSAIL) held a two day conference celebrating 50 years of computer science looking forward to the future with solutions for today's obstacles and tomorrow's solutions. Read more. -
Robert D. Blumofe and Charles E. Leiserson were announced today as the winners of the 2013 Association for Computing Machinery’s (ACM) Paris Kanellakis Theory and Practice Award for contributions to robust parallel and distributed computing. The ACM credits Blumofe and Leiserson for developing provably efficient randomized “work-stealing” scheduling algorithms and Cilk, a small but powerful programming-language extension for multithreaded computing. The Kanellakis Award honors specific theoretical accomplishments that significantly affect the practice of computing. Read more. -
As the director of MIT’s BigData@CSAIL industry initiative, and the co-director of the more research-focused Intel Science and Technology Center (ISTC) for Big Data, EECS professor and CSAIL principal investigator Sam Madden talks with the MIT News Office about the growing complexity of data. From social networks and images to real time financial transactions, Madden talks about the issues (and opportunities) of what to do with this data. Read more. -
Dina Katabi has been selected for the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. In announcing this appointment, Department Head Anantha Chandraksan shared the following message with his colleagues in the EECS Department. Read more. -
Ljubisa Stevanovic, Wednesday, March 5, 2014, 34-401CSAIL, MTL, RLE, II-Systems
-
Srini Devadas has been selected to receive the IEEE Computer Society’s 2014 Technical Achievement Award “For pioneering work in secure hardware, including the invention of Physical Unclonable Functions and single-chip secure processor architectures.” Read more. -
Electrical Engineering and Computer Science Department graduate student Mohsen Ghaffari, also a member of MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has developed a new way to use “vertex connectivity” that could ultimately lead to communication protocols that will allow as much network bandwidth as possible. Ghaffari and members of an international team will present this work in January at the ACM-SIAM Symposium on Discrete Algorithms in Portland, Oregon. -
CSAIL Principal Investigator Srini Devadas and three former students have been selected as the 2014 winners of the Most Influential Paper Award at a prestigious systems research conference. Read more.
-
Prof. Dina Katabi, principal investigator in the Computer Science and Artificial Intelligence Lab at MIT working with members of her research group has developed a 3-D motion tracking system that has potential for gaming and far more. Read more in the CSAIL Dec. 12, 2013 article -
Tuesday, November 26th, 2013, 34-101, @4:15pm. Refreshments @ 4:00pm. -
MIT EECS faculty members in the Computer Science and Artificial Intelligence Lab CSAIL Frans Kaashoek, Nickolai Zeldovich and Armando Solar-Lezama along with EECS graduate student Xi Wang have created a system they call Stack which will automatically scan programmer's code to avoid compilers from tossing bits of code that might not appear essential. Read more.
- 1 of 5
- ››
