Software Programming Research Promises Faster Applications

“A paper to be presented later this month at the IEEE
International Parallel and Distributed Processing Symposium in
Atlanta, Georgia, describes a new approach to memory management
that allows software applications to run up to 20% faster on
multicore processors.

“”MMT: Exploiting Fine-Grained Parallelism in Dynamic Memory
Management,” co-authored by North Carolina State University (NCSU)
researchers Devesh Tiwari, Sanghoon Lee, James Tuck, and Yan
Solihin, proposes “a new approach for accelerating dynamic memory
management on multicore architecture, by offloading dynamic
management functions to a separate thread that we refer to as
memory management thread (MMT).

“Multicore processors are now the norm in the computer industry,
but many programmers have yet to learn how best to write programs
that process data in parallel using all of the processor cores at
once.”

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