Across a range of embedded-system applications, the combination of data-processing and system-throughput requirements is increasing to the point at which implementing algorithms purely in software on ...

A technical paper titled “Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling” was published by researchers at MIT and NVIDIA. The paper won “Distinguished Artifact Award” at the ...

There is a growing demand for high-performance hardware accelerators in chips powering data centers that employ artificial intelligence technology in applications such as deep learning, image ...

The rule of thumb in embedded system design has been that addinghardware increases power demands. The careful use of hardwareaccelerators, however, inverts the rule: adding hardware can reducepower.

A technical paper titled “SpikeHard: Efficiency-Driven Neuromorphic Hardware for Heterogeneous Systems-on-Chip” was published by researchers at Columbia University. “Neuromorphic computing is an ...

In this special guest feature, Theodore Omtzigt from Stillwater Supercomputing writes that as workloads specialize due to scale, hardware accelerated solutions will continue to be cheaper than ...

AI accelerators are gaining traction in high-performance electronics design, driven by the need for efficiency and ...

Embedded-systems designers are on a mission to squeeze powerful AI algorithms into resource-constrained gadgets, relying on cutting-edge custom hardware accelerators and high-level synthesis to push ...

Alongside the workstation, Razer has been working with Tenstorrent on a compact external AI accelerator aimed at portable ...