Exploiting the complex maze of publicly available Biological resources to implement scientific data collection pipelines poses a multitude of challenges to biologists in accurate...
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
The pharmaceutical industry is facing an ever-increasing demand to discover novel drugs that are more effective and safer than existing ones. The industry faces huge problem in im...
Efficient hardware architectures for the Luffa hash algorithm are proposed in this work. We explore different tradeoffs and propose several architectures, targeting both compac...
The power versus frequency performance of a micropipelined conventional CMOS logic family is compared with that of three similarly pipelined energy-recovering logic families. Usin...