  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.
