In the task-parallel model represented by OpenMP, the user specifies the distribution of iterations among processors and then the data travels to the computations. In data-parallel programming, the ...

As hardware designers turn toward multicore processors to improve computing power, software programmers must find new programming strategies that harness the power of parallel computing. One technique ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Read a full transcript of the discussion. Find it on iTunes/iPod. Learn more. Sponsor: Greenplum. Internet-scale data collecting, swarms of sensors outputs, and content clouds from the mobile device ...

Intel's James Reinders is an expert on parallelism; his most recent book covered the C++ extensions for parallelism provided by Intel Threaded Building Blocks. He's also the Director of Marketing and ...

Open source data integration vendor Talend is planning to release a master data management product by the end of the year, as well as to offer a massively parallel processing architecture in current ...