Abstract. In recent years, there has been a growing interest in addressing dynamic optimization problems (DOPs) using evolutionary algorithms (EAs). Several approaches have been de...
Dynamic memory management is one of the most expensive but ubiquitous operations in many C/C++ applications. Additional features such as security checks, while desirable, further w...
Devesh Tiwari, Sanghoon Lee, James Tuck, Yan Solih...
Abstract. Dynamic program optimization is the only recourse for optimizing compilers when machine and program parameters necessary for applying an optimization technique are unknow...
This paper introduces a new architectural approach that supports compiler-synthesized dynamic branch predication. In compiler-synthesized dynamic branch prediction, the compiler g...
David I. August, Daniel A. Connors, John C. Gyllen...
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...