As the Internet of Things (IoT) technology advances, billions of multidisciplinary smart
devices act in concert, rarely requiring human intervention, posing significant challenges in …

In recent years, the advancements in specialized hardware architectures have supported the
industry and the research community to address the computation power needed for more …

While research has shown that the agile chip design methodology is promising to sustain
the scaling of computing performance in a more efficient way, it is still of limited usage in …

Need for the efficient processing of neural networks has given rise to the development of
hardware accelerators. The increased adoption of specialized hardware has highlighted the …

With the widespread adoption of deep neural networks (DNNs) across applications, there is
a growing demand for DNN deployment solutions that can seamlessly support multi-tenant …

FPGAs are now used in public clouds to accelerate a wide range of applications, including
many that operate on sensitive data such as financial and medical records. We present …

The field of edge computing has witnessed remarkable growth owing to the increasing
demand for real-time processing of data in applications. However, challenges persist due to …

In this work, we present a C ompiler-integrated, E xtensible D omain Specific System on
Chip R untime (CEDR) ecosystem to facilitate research toward addressing the challenges of …

An eight-core 64-b processor extends RISC-V to perform multiply–accumulate (MAC) within
the shared last level cache (LLC). Instead of moving data from the LLC to the core, compute …

Process technology-driven performance and energy efficiency improvements have slowed
down as we approach physical design limits. General-purpose manycore architectures …