Aspiring physician explores the many levels of human health
During her time at MIT, senior Ayesha Ng’s interests have expanded from cellular biology to the social systems that shape public health.
During her time at MIT, senior Ayesha Ng’s interests have expanded from cellular biology to the social systems that shape public health.
Researchers revamp a common “data structure” so that it will work with multicore chips.
Design lets chip manage local memory stores efficiently using an Internet-style communication network.
Professor honored for advances in distributed systems that enable dependable Internet and wireless network applications.
A new system makes hardware models of multicore chips more efficient, easier to design and more reliable.
To take advantage of multicore chips, programmers will need software development systems that let them express themselves in fundamentally new ways.
One key to making parallel algorithms efficient is to minimize the amount of communication between cores.
Charles Leiserson and his team are experts at designing parallel algorithms — including one for a chess-playing program that outperformed IBM’s Deep Blue.
Operating systems for multicore chips will need more information about their own performance — and more resources for addressing whatever problems arise.
Improving communication between distributed processors and managing shared data are two of the central challenges in creating tomorrow’s chips.
Research suggests that the free operating system Linux will keep up with the addition of more ‘cores,’ or processing units, to computer chips.
MIT researchers find a way to make complex computer simulations run more efficiently on chips with multiple processors.
As chip makers turn to multiple 'cores' to improve performance, MIT researchers help ease programmers' transition to parallel programming.