Robotic Design Choice Overview Using Co-Simulation and Design Space Exploration

Robotic Design Choice Overview Using Co-Simulation and Design Space Exploration

Rapid robotic system development has created a demand for multi-disciplinary methods and tools to explore and compare design alternatives. In this paper, we present a collaborative modeling technique that combines discrete-event models of controller software with continuous-time models of physical robot components. The proposed co-modeling method utilizes the Vienna development method (VDM) and...

Robotic design choice overview using co-simulation

Rapid robotic system development sets a demand for multi-disciplinary methods and tools to explore and compare design alternatives. In this paper, we present collaborative modelling that combines discrete-event models of controller software with continuous-time models of physical robot components. The presented co-modelling method utilized VDM for discrete-event and 20-sim for continuous-time m...

A Power Aware Cache and Register File Design Space Exploration

Software Design Space Exploration for Exascale Combustion Co-design

The design of hardware for next-generation exascale computing systems will require a deep understanding of how software optimizations impact hardware design trade-offs. In order to characterize how co-tuning hardware and software parameters affects the performance of combustion simulation codes, we created ExaSAT, a compiler-driven static analysis and performance modeling framework. Our framewo...

Fast Simulation Techniques for Design Space Exploration

In this paper, we present our current work on a UML based environment providing efficient means for system level design space exploration. First of all, a brief introduction to the concepts of DIPLODOCUS gives a general overview of our methodology. A cycle-based simulation strategy for the application modeled in terms of abstract tasks was introduced previously. This paper emphasizes a new appr...