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octo.py: quick and easy MapReduce for Python

The amount of free, interesting, and useful data is growing explosively. Luckily, computer are getting cheaper as we speak, they are all connected with a robust communication infrastructure, and software for analyzing data is better than ever. That’s why everyone is interested in easy to use frameworks like MapReduce for every-day programmers to run their data crunching in parallel.

Source: UMBC ebiquity

UMBC to offer special course in parallel programming

There’s a very interesting late addition to UMBC’s spring schedule — CMSC 491/691A, a special topics class on parallel programming. Programming multi-core and cell-based processors is likely to be an important skill in the coming years, especially for systems that require high performance such as those involving scientific computing, graphics and interactive games.

Source: UMBC ebiquity

Frontiers of Multicore Computing at UMBC, 26-28 Aug 2008

The UMBC Multicore Computation Center is hosting a free workshop on Frontiers of Multicore Computing 26-28 August 2008 at UMBC. The workshop will feature leading computational researchers who will share their current experiences with multicore applications. A number of computer architects and major vendors have also been invited to describe their road maps to near and long-term future system developments.

Source: UMBC ebiquity

My colleague Marc Olano recently blogged about the new Larrabee chip from Intel, which will be described in a SIGGRAPH paper in a session he is chairing. This chip, with multiple old pentium type cores running at 1GHz, seems a logical culmination of the recent multi/many core trend.

Source: UMBC ebiquity
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