Moore's Law is a techno-economic model that has enabled the information technology
industry to double the performance and functionality of digital electronics roughly every 2 …

The rapidly-changing deep learning landscape presents a unique opportunity for building
inference accelerators optimized for specific datacenter-scale workloads. We propose Full …

With slowing technology scaling, specialized accelerators are increasingly attractive
solutions to continue expected generational scaling of performance. However, in order to …

With the increasing size of DNN models and the growing discrepancy between compute
performance and memory bandwidth, fusing multiple layers together to reduce off-chip …

The Streaming Engine (SE) is a Coarse-Grained Reconfigurable Array which provides
programming flexibility and high-performance with energy efficiency. An application program …

The relentless advancement of artificial intelligence (AI) and machine learning (ML)
applications necessitates the development of specialized hardware accelerators capable of …

We present domain adaptive processor (), a programmable systolic-array processor
designed for wireless communication and linear algebra workloads. uses a globally …

Convolution features huge complexity and demands high computation capability. Among
hardware platforms, field programmable gate array (FPGA) emerges as a promising solution …

The adoption of Machine Learning solutions directly onboard in satellite missions is
becoming more and more attractive for the space sector. Among the various kinds of …

Stream processing, which involves real-time computation of data as it is created or received,
is vital for various applications, specifically wireless communication. The evolving protocols …