Computer science is approaching a crisis that some CS experts say could fuel a renaissance of ideas. Very soon, mainstream computers will need an easy-to-use parallel programming model to tap into ...

I just finished reading the new book by David Kirk and Wen-mei Hwu called Programming Massively Parallel Processors. The generic title notwithstanding, readers should not come to this book expecting ...

A CPU equipped with a dedicated hardware chip for parallel programs that allows researchers at MIT to calculate a multi-core (many core) CPU 18 times faster than beforeSwarm"Was developed. Researchers ...

Write program to run in parallel? Yes. Did you remember to use a Scalable Memory Allocator? No? Then read on … In my experience, making sure “memory allocation” for a program is ready for parallelism ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day on ...

Today's programmable GPUs are the latest instantiation of programmable accelerators. Going back to the 1970s, the Floating Point Systems AP-120 and FPS-164 attached processors provided mainframe ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...