The development of computing technology in the late 18th century led to a change in computer architecture from the 1960s 2D drawing age to the present-day machine learning era, which uses algorithms, ...

The Heterogeneous System Architecture Foundation today announced the results of a collaborative project sponsored by General Processor Technologies and other industry developers to create open ...

With the ever-increasing demand for more computing performance, the HPC industry is moving towards a heterogeneous computing model, where GPUs and CPUs work together to perform general-purpose ...

This article is part of the Technology Insight series, made possible with funding from Intel. As data sprawls out from the network core to the intelligent edge, increasingly diverse compute resources ...

With the increasing complexity of computational problems and the exponential growth in number of independent tasks in high-performance computing, Optimizing capabilities and resource utilization has ...

Recent technological advances have contributed to the rapid increase in algorithmic complexity of applications, ranging from signal processing to autonomous systems. To control this complexity and ...

Artificial Intelligence (AI), data analytics, and high-performance computing (HPC) are transforming industries such as healthcare, finance, and manufacturing. These workloads rely on distributed ...

Over the past decade, much of the focus with machine learning has been on CPUs and accelerators, primarily GPUs but also custom ASICs, with advances in the chip architecture aimed at boosting parallel ...

The TOP500 list is released twice a year. Chinese supercomputers have topped the list on multiple occasions. Tianhe-1 first ...