# 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.