Develo** Field-programmable Gate Array (FPGA) architectures is challenging due to the
competing requirements of various application domains and changing manufacturing …

Exploring architectures for large, modern FPGAs requires sophisticated software that can
model and target hypothetical devices. Furthermore, research into new CAD algorithms …

To facilitate the development of future FPGA architectures and CAD tools--both embedded
programmable fabrics and pure-play FPGAs--there is a need for a large scale, publicly …

Many classes of applications, especially in the domains of signal and image processing,
computer graphics, computer vision, and machine learning, are inherently tolerant to …

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

Many applications produce acceptable results when their underlying computations are
executed in an approximate manner. For such applications, approximate circuits enable …

Quality control using artificial intelligence (AI) has led to considerable improvements in the
manufacturing industry. However, inspection of computer-aided design (CAD) drawing to …

Deep learning (DL) is becoming the cornerstone of numerous applications both in
datacenters and at the edge. Specialized hardware is often necessary to meet the …

the prevalence of deep learning (DL) in many applications, researchers are investigating
different ways of optimizing field-programmable gate array (FPGA) architecture and CAD to …

At the end of CMOS-scaling, the role of architecture design is increasingly gaining
importance. Supporting this trend, customizable embedded FPGAs are an ingredient in …