Systems built from commodity hardware such as servers, desktops and laptops often contain so-called general-purpose processors (CPUs)—processors that specialize in doing many different things ...

Brain-inspired Spiking Neural Networks (SNN) and the parallel hardware necessary to exploit their full potential have promising features for robotic application. “Animal brains still outperform even ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

This fall will mark twenty years since the publication of the v1.0 specification of OpenMP Fortran. From early loop parallelism to a heterogeneous, exascale future, OpenMP has apparently weathered ...

Today, the European Adept Project wrapped up by releasing a set of open-source energy measurement tools. Over its three-year lifespan, Adept has investigated energy consumption in parallel hardware ...

Parallel development is an essential technique for boosting the productivity of big software development teams that must make numerous changes to a large source-code base. To employ that technique, ...

Several times in the last couple years, we’ve talked in this blog about the use of FPGAs in solving complex microbiology sequencing tasks, including protein sequencing and nucleotide ordering. In ...

Programming challenges are biggest when the application and the implementation architecture are orthogonal. Application-specific architectures offer little opportunity for software to be a ...

Linux has long been the number one supercomputer operating system. But while you could build your own Linux supercomputer using commercial off-the-shelf (COTS) products, it wouldn't be terribly fast.