Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
We present an approach to self-adaptive systems utilizing explicit models of the design-space of the application. The design-space is captured by allowing the specification of alte...
As microprocessors continue to evolve, many optimizations reach a point of diminishing returns. We introduce HLS, a hybrid processor simulator which uses statistical models and sy...
As microprocessor designs continue to evolve, many optimizations reach a point of diminishing returns. We introduce HLS, a hybrid processor simulator which uses statistical models...
This paper presents a codesign approach which incorporates communication protocol selection as a design parameter within hardware/software partitioning. The presented approach tak...