Parallel computing

News Search Form (Parallel computing)

1 - 12 of 12 Articles
  • Parallelizing common algorithms

    Researchers revamp a common “data structure” so that it will work with multicore chips.

    January 30, 2015
  • Researchers unveil experimental 36-core chip

    Design lets chip manage local memory stores efficiently using an Internet-style communication network.

    June 23, 2014
  • Lynch named Athena Lecturer

    Professor honored for advances in distributed systems that enable dependable Internet and wireless network applications.

    April 18, 2012
  • Simulating tomorrow’s chips

    A new system makes hardware models of multicore chips more efficient, easier to design and more reliable.

    April 13, 2012
  • Language barrier

    To take advantage of multicore chips, programmers will need software development systems that let them express themselves in fundamentally new ways.

    March 1, 2011
  • No backtalk

    One key to making parallel algorithms efficient is to minimize the amount of communication between cores.

    February 28, 2011
  • Retooling algorithms

    Charles Leiserson and his team are experts at designing parallel algorithms — including one for a chess-playing program that outperformed IBM’s Deep Blue.

    February 25, 2011
  • The next operating system

    Operating systems for multicore chips will need more information about their own performance — and more resources for addressing whatever problems arise.

    February 24, 2011
  • Designing the hardware

    Improving communication between distributed processors and managing shared data are two of the central challenges in creating tomorrow’s chips.

    February 23, 2011
  • Multicore may not be so scary

    Research suggests that the free operating system Linux will keep up with the addition of more ‘cores,’ or processing units, to computer chips.

    September 30, 2010
  • Mastering multicore

    MIT researchers find a way to make complex computer simulations run more efficiently on chips with multiple processors.

    April 26, 2010
  • Parallel course

    As chip makers turn to multiple 'cores' to improve performance, MIT researchers help ease programmers' transition to parallel programming.

    October 23, 2009