Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Programming the adapteva epiphany 64-core network-on-chip coprocessor

Loading...
Thumbnail Image

Date

Authors

Varghese, Anish
Edwards, Robert
Mitra, Gaurav
Rendell, Alistair

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Abstract

With energy efficiency and power consumption being the primary impediment in the path to exascale systems, low-power high performance embedded systems are of increasing interest. The Parallella System-on-module (SoM) created by Adapteva combines the Epiphany-IV 64-core coprocessor with a host ARM processor housed in a Zynq System-on-chip. The Epiphany integrates low-power RISC cores on a 2D mesh network and promises up to 70 GFLOPS/Watt of processing efficiency. However, with just 32 KB of memory per eCore for storing both data and code, and only low level inter-core communication support, programming the Epiphany system presents several challenges. In this paper we evaluate the performance of the Epiphany system for a variety of basic compute and communication operations. Guided by this data we explore various strategies for implementing stencil based application codes on the Epiphany system. With future systems expected to house 4096 eCores, the merits of the Epiphany architecture as a path to exascale is compared to other competing power efficient systems.

Description

Keywords

Citation

Source

Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31