RipTide: A programmable, energy-minimal dataflow compiler and architecture

by Graham Gobieski, Souradip Ghosh, Marijn Heule, Todd Mowry, Tony Nowatzki, Nathan Beckmann, Brandon Lucia

Introduction

In this whitepaper, we discuss the RipTide platform which enables the development of energy-efficient computing workflows. It is crucial in modern computational tasks to optimize for energy usage to meet both performance and environmental standards.

Features

• Programmable Dataflow: Users can tailor workflows to specific applications or needs.
• Energy Efficiency: Designed with minimal energy consumption in mind.
• Scalability: Easily adapts to different computational environments.

Conclusion

The RipTide architecture represents a significant advancement in the field of dataflow computing, balancing performance and energy efficiency.