Neural networks provide state-of-the-art results for most machine learning tasks.
Unfortunately, neural networks are vulnerable to adversarial examples: given an input x and …

The automation of the design of electronic systems and circuits [electronic design
automation (EDA)] has a history of strong innovation. The EDA business has profoundly …

ABC is a public-domain system for logic synthesis and formal verification of binary logic
circuits appearing in synchronous hardware designs. ABC combines scalable logic …

Reconfigurable computing platforms offer the promise of substantially accelerating
computations through the concurrent nature of hardware structures and the ability of these …

The theory of directed graphs has developed enormously over recent decades, yet this book
(first published in 2000) remains the only book to cover more than a small fraction of the …

Motivated by emerging battery-operated applications that demand intensive computation in
portable environments, techniques are investigated which reduce power consumption in …

Design for Embedded Image Processing on FPGAs Bridge the gap between software and
hardware with this foundational design reference Field-programmable gate arrays (FPGAs) …

Reconfigurable Computing marks a revolutionary and hot topic that bridges the gap
between the separate worlds of hardware and software design—the key feature of …

Efficient implementation of basic, data-path circuit elements is of fundamental importance to
achieving high performance in FPGA-based acceleration of scientific computing. This work …

Specialized image signal processors (ISPs) exploit the structure of image processing
pipelines to minimize memory bandwidth using the architectural pattern of line-buffering …