High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics. This ...

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 ...

MIT computer scientists have developed a new coding language to make it much faster for computers to retrieve results when analysing big data MIT Computer scientists in the US have developed a ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

CUDA is a parallel computing programming model for Nvidia GPUs. With the proliferation over the past decade of GPU usage for speeding up applications across HPC, AI and beyond, the ready availability ...

The IEEE Computer Society has selected Keshav Pingali to receive the 2023 IEEE CS Charles Babbage Award. At The University of Texas at Austin, Pingali is the W.A. "Tex" Moncrief Chair of Grid and ...

As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...

The enormous growth in artificial intelligence (AI) and Internet of Things (IoT) is fueling a growing demand for high-efficiency computing to perform real-time analysis on massive amounts of data. In ...