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.
@article{arxiv.1412.5538,
title = {Kickstarting High-performance Energy-efficient Manycore Architectures with Epiphany},
author = {Andreas Olofsson and Tomas Nordström and Zain Ul-Abdin},
journal= {arXiv preprint arXiv:1412.5538},
year = {2014}
}
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(to appear in Asilomar Conference on signals, systems, and computers 2014)