Paper Info
Title
Runnemede: An architecture for Ubiquitous High-Performance Computing
Abstract
DARPA's Ubiquitous High-Performance Computing (UHPC) program asked researchers to develop computing systems capable of achieving energy efficiencies of 50 GOPS/Watt, assuming 2018-era fabrication technologies. This paper describes Runnemede, the research architecture developed by the Intel-led UHPC team. Runnemede is being developed through a co-design process that considers the hardware, the runtime/OS, and applications simultaneously. Near-threshold voltage operation, fine-grained power and clock management, and separate execution units for runtime and application code are used to reduce energy consumption. Memory energy is minimized through application-managed on-chip memory and direct physical addressing. A hierarchical on-chip network reduces communication energy, and a codelet-based execution model supports extreme parallelism and fine-grained tasks. We present an initial evaluation of Runnemede that shows the design process for our on-chip network, demonstrates 2–4x improvements in memory energy from explicit control of on-chip memory, and illustrates the impact of hardware-software co-design on the energy consumption of a synthetic aperture radar algorithm on our architecture.
Year
DOI
Venue
2013
10.1109/HPCA.2013.6522319
High Performance Computer Architecture
Keywords
Field
DocType
memory energy,ubiquitous high-performance computing,hierarchical on-chip network,energy consumption,communication energy,co-design process,on-chip memory,intel-led uhpc team,on-chip network,application-managed on-chip memory,energy efficiency,computer architecture,ubiquitous computing
Supercomputer,Computer science,Parallel computing,Computing with Memory,Real-time computing,Conventional memory,Engineering design process,Execution model,Ubiquitous computing,Memory address,Energy consumption,Embedded system
Conference
ISSN
ISBN
Citations 
1530-0897
978-1-4673-5585-8
38
PageRank 
References 
Authors
1.17
19
19
Name
Order
Citations
PageRank
Nicholas P. Carter134933.84
Aditya Agrawal254634.80
Shekhar Borkar34236494.95
Romain Cledat4674.61
Howard David539912.83
Dave Dunning618915.79
Joshua Bruce Fryman7807.19
Ivan Ganev8431.61
Roger A. Golliver97910.73
Rob Knauerhase101737.38
Richard Lethin1111817.17
Benoît Meister1213812.84
Asit K. Mishra13121646.21
Wilfred R. Pinfold14381.17
Justin Teller15493.15
Josep Torrellas163838262.89
Nicolas Vasilache1735419.45
Ganesh Venkatesh1827417.97
Jianping Xu19531.76