energy/throughput / impacted energy / process technologies / even synchronous protocols / greater energy consumption / nm technology / higher-energy configuration / process technology nodes / convex optimization algorithms / chip energy consumption / heuristic optimization algorithms / lower-energy point / population selection algorithm / energy penalty / link/technology parings / cross-technology examination / multi-objective heuristic optimization algorithms / average energy improvements / frequency systems / sharp energy increase / deep-submicron technologies / process technology generations / Energy vs / half-swing protocol / energy-efficient ternary interconnection link / throughput/energy/area space / sparse wiring energy increases / link protocol / energy increase / energy savings / pulldown networks / energy / energy costs / throughput/energy/area tradeoff space / technology characterization steps / deep submicron technologies / least energy / technology nodes / heuristic optimization algorithm / link protocols / pull-up network / genetic algorithm / energy dissipation / energy cost / ternary conversion energy cost cuts / energy/area usage / energy/area / asynchronous protocol / energy efficient system design / multi-objective optimization tool / genetic algorithms / optimization tool / asynchronous systems / less energy / high energy / hundredfold more energy / energy efficiency / low-swing signaling protocol / manufacturing / planar technologies / low-energy / link energy / technology feature size / nm process technologies / link pulldown network / e1of2 protocol / greater energy cost / -dominated sorting genetic algorithm / /
Organization
California Institute of Technology / National Science Foundation / STATS Single-Track Asynchronous Ternary Signaling / MIT / Cornell University / US Federal Reserve / /
A Bit of Analysis on Self-Timed Single-Bit On-Chip Links Jonathan Tse, Benjamin Hill, and Rajit Manohar Computer Systems Laboratory Cornell University Ithaca, NY, U.S.A.