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.
Parallelizing common algorithms
Researchers revamp a common “data structure” so that it will work with multicore chips.
Researchers unveil experimental 36-core chip
Design lets chip manage local memory stores efficiently using an Internet-style communication network.
Lynch named Athena Lecturer
Professor honored for advances in distributed systems that enable dependable Internet and wireless network applications.
Simulating tomorrow’s chips
A new system makes hardware models of multicore chips more efficient, easier to design and more reliable.
Language barrier
To take advantage of multicore chips, programmers will need software development systems that let them express themselves in fundamentally new ways.
No backtalk
One key to making parallel algorithms efficient is to minimize the amount of communication between cores.
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.
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.
Designing the hardware
Improving communication between distributed processors and managing shared data are two of the central challenges in creating tomorrow’s chips.
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.
Mastering multicore
MIT researchers find a way to make complex computer simulations run more efficiently on chips with multiple processors.
Parallel course
As chip makers turn to multiple 'cores' to improve performance, MIT researchers help ease programmers' transition to parallel programming.