In recent years, the limits of the multicore approach emerged in the so-called “dark silicon”
issue and diminishing returns of an ever-increasing core count. Hardware manufacturers …

As general-purpose processors have hit the power wall and chip fabrication cost escalates
alarmingly, coarse-grained reconfigurable architectures (CGRAs) are attracting increasing …

Cloud services have recently started undergoing a major shift from monolithic applications,
to graphs of hundreds or thousands of loosely-coupled microservices. Microservices …

Recent studies on software tool manipulation with large language models (LLMs) mostly rely
on closed model APIs. The industrial adoption of these models is substantially constrained …

Generalized tensor algebra is a prime candidate for acceleration via customized ASICs.
Modern tensors feature a wide range of data sparsity, with the density of non-zero elements …

While systolic array architectures have the potential to deliver tremendous performance, it is
notoriously challenging to customize an efficient systolic array processor for a target …

Energy-harvesting technology provides a promising platform for future IoT applications.
However, since communication is very expensive in these devices, applications will require …

Recent advances in Deep Neural Networks (DNNs) have led to active development of
specialized DNN accelerators, many of which feature a large number of processing …

Industry is increasingly turning to reconfigurable architectures like FPGAs and CGRAs for
improved performance and energy efficiency. Unfortunately, adoption of these architectures …

Cloud providers such as Amazon and Microsoft have begun to support on-demand FPGA
acceleration in the cloud, and hardware vendors will support FPGAs in future processors. At …