Lawrence Livermore National Laboratory has long been one of the world’s largest consumers of supercomputing capacity. With computing power of more than 200 petaflops, or 200 billion floating-point ...

A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to encode ...

Looking for some serious horsepower? NVIDIA's got you covered. The company just introduced GPUDirect for Video, a technology that enables application developers to deliver higher quality, more ...

LLVM, the open source compiler framework that powers everything from Mozilla’s Rust language to Apple’s Swift, emerges in yet another significant role: an enabler of code deployment systems that ...

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 ...

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 ...

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, ...