The ability to improve manufacturing operations is growing with the application of software that can leverage lower cost computing. Back in 1982, the ULTRAMAX Corporation commercialized an interesting ...

Dealing with power is a multifaceted challenge and is an equal-opportunity problem — everybody can contribute to the solution and at many levels of abstraction. At the architectural or system level, ...

Abstract: This paper focuses on minimizing the total energy consumption of a long-term delay-sensitive multi-cell mobile edge computing (MEC) system that serves continuously arriving mobile devices ...

Abstract: Many engineering and healthcare systems are featured with spatiotemporal dynamic processes. The optimal control of such systems often involves sequential decision making. However, ...

Large Language Models (LLMs) have demonstrated impressive capabilities across numerous fields, presenting an opportunity to revolutionize optimization problem-solving, a crucial, ubiquitous, and ...

All power optimization tools can perform combinational optimization, where there is an opportunity to gate a register clock input, based on the combinational logic that is feeding the register’s data ...

A C++ library for performing the sequential line search method (which is a human-in-the-loop variant of Bayesian optimization). We have tested the C++ portion of our codebase on macOS using the clang ...