The ever-growing scale and speed of High Performance Computing (HPC) systems unleash many new opportunities for researchers and data scientists. Today, the first exascale-capable HPC systems, like the ...

In the accelerated era of exascale supercomputing, MPI is being pushed to its logical limits. No matter how entrenched it has become over the last two decades, it might be time to rethink programming ...

Intel and Argonne National Laboratory said they will co-design and validate exascale-class applications using the chipmaker's GPUs, microarchitecture and developer tools. The collaboration is part of ...

Creating the Tesla GPU compute platform has taken Nvidia the better part of a decade and a half, and it has culminated in a software stack comprised of various HPC and AI frameworks, the CUDA parallel ...

In brief: Fujitsu is a Japanese multinational conglomerate that mostly sells personal and enterprise computing products, as well as x86 and mainframe servers. The company is active in the ...

Intel launches oneAPI, a unified and scalable programming model to harness the power of diverse computing architectures in the era of HPC/AI convergence. Intel introduces a general-purpose GPU ...

As demand for speed and data processing explodes, GPUs are becoming essential for unlocking the potential of next-generation technologies like AI and edge computing. Graphics processing units (GPUs) ...

Nvidia has gone from a niche provider of HPC technology to becoming a dominant force in the industry. This year’s SC event reinforces that leadership. The annual SuperComputing event in North America ...

In advance of Supercomputing '22 in Dallas, Intel Corporation has introduced the Intel Max Series product family with two leading-edge products for high performance computing (HPC) and artificial ...

Intel Corp. is looking to compete with rivals Advanced Micro Devices Inc. and Nvidia Corp. in the high-performance computing and artificial intelligence markets with the launch of its latest product ...

Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.