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Multicore Processors & Cloud Computing
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We are rethinking computing to create a fundamentally new computing architecture that meets the challenges of extreme-scale computing.
Multicore Processors & Cloud Computing web site -
July saw two new chair appointments within the department’s leadership. Please join us in congratulating Asu Ozdaglar and Joel Voldman on their accomplishments, and learn more about the new chairs here.MTL, RLE, InfoSys, ApplPhysDev, Biomed, Systems, Theory, bio-EECS, Connections, Multicore -
Professors Thomas Heldt, Aleksander Madry, Daniel Sanchez, and Vivienne Sze are promoted to the rank of Associate Professor without Tenure, effective July 1, 2017. -
Li-Shiuan Peh, associate professor of electrical engineering and computer science, receives professorship from the Singapore-MIT Alliance for Research and Technology. -
Formally verified working file system could lead to computers guaranteed never to lose your data. -
New network design exploits cheap, power-efficient flash memory without sacrificing speed. -
What takes coders months, CSAIL’s “Helium” can do in an hour. -
Srini Devadas, the Edwin Sibley Webster Professor in MIT's Electrical Engineering and Computer Science Department and members of his group, the Computation Structures Group, have designed a process for thwarting memory-access attacks to steal data. Their scheme includes custom-built reconfigurable chips, now moving into fabrication. -
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. Read more. -
The Society for Industrial and Applied Mathematics has named CSAIL principal investigator Charles E. Leiserson as one of its 2015 Fellows for his “enduring influence on parallel computing systems and their adoption into mainstream use through scholarly research and development.” Read more. -
MIT Electrical Engineering and Computer Science Department Head Anantha Chandrakasan and Associate Department Heads Bill Freeman, Silvio Micali, and David Perreault announced in February 2015, the promotions of eight faculty members in the department. Professors Adalsteinsson, Daniel, Golland, and Torralba are promoted to full professor. Professors Chilpala, Polyanskiy and Vaikuntanathan are promoted to associate professor. The promotions are effective July 1, 2015. Read more. -
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. -
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. -
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. -
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. -
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. -
Today, March 12, 2014, marks the 25th anniversary of Tim Berners-Lee's proposal for managing general information about accelerators and experiments at CERN, the European Organization for Nuclear Research based in Geneva where Berners-Lee worked at the time as a software engineer. He proposed building a distributed (global) hypertext system which he initially called "Mesh" updating it a year later to the "World Wide Web" as he wrote the code. Read more. -
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.
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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. -
Daniel Sanchez, assistant professor in the MIT Electrical Engineering and Computer Science Department (EECS) and principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) and his student Nathan Beckmann have developed a software alternative to manage high-speed on-chip memory (cache). Read more -
Srini Devadas, the Edwin Sibley Webster Professor of Electrical Engineering and Computer Science, and members of the Computational Structures Group in the Computer Science and Artificial Intelligence Lab (CSAIL) have developed a new system that not only disguises a server's memory-access patterns, but also prevents attacks that rely on how long computations take. -
Armando Solar-Lezama, EECS faculty member and head of the Computer-Aided Programming Group at CSAIL, has teamed with Sumit Gulwani, a colleague at Microsoft Research and EECS graduate student Rishabh Singh, to develop a new software system than can automatically identify errors in students' programming assignments, recommending corrections. This work could also lead to automated grading -- a big problem for MOOCs. Read more... -
Researchers working with EECS faculty member and CSAIL principal investigator Samuel Madden, are developing a new system called DBSeer to address the realities of cloud computing -- particularly database applications requiring over expenditure for hardware. In June, Professor Madden and members of the MIT Database Group including first author of two papers on this work, postdoctoral associate Barzan Mozafari will present their work at the annual meeting of the Association for Computing Machinery’s Special Interest Group on Management of Data (SIGMOD).
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