# Kickstarting High-performance Energy-efficient Manycore Architectures with Epiphany

arXiv: https://arxiv.org/abs/1412.5538 · HTML: https://mlsanity.com/paper/1412.5538/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Dec 2014.

## Built on by (most cited first, 1 of 1)

- [AI Accelerator Survey and Trends](https://mlsanity.com/paper/2109.08957/) (2021)

## Abstract (arXiv)

In this paper we introduce Epiphany as a high-performance energy-efficient manycore architecture suitable for real-time embedded systems. This scalable architecture supports floating point operations in hardware and achieves 50 GFLOPS/W in 28 nm technology, making it suitable for high performance streaming applications like radio base stations and radar signal processing. Through an efficient 2D mesh Network-on-Chip and a distributed shared memory model, the architecture is scalable to thousands of cores on a single chip. An Epiphany-based open source computer named Parallella was launched in 2012 through Kickstarter crowd funding and has now shipped to thousands of customers around the world.