10x10 - Systematic Heterogenous Architecture

As Moore Law’s scaling 
slows in power and speed, energy has become the critical challenge.  This change has driven the emergence of multi-core, GPGPU computing, and other accelerator-based computing approaches.  Heterogeneous architectures promise as much as 100-fold energy benefits, but significant software, programmability, and algorithm challenges must be solved in co-design with these heterogeneous architectures.  The 10x10 paradigm, a principled, systematic approach to heterogeneity in computer architecture. A 10x10 architecture exploits deep workload analysis to drive co-design of a federated heterogeneous architecture that exploits customization for energy efficiency, but federates a set of customized engines to achieve general-purpose coverage.    Current efforts include:
Publications 
  • Shekhar Borkar and Andrew A. Chien, The Future of Microprocessors, Communications of the Association for Computing Machinery (CACM), May 2011.  BorkarChien2011,
  • Mark Gahagan, Allan Snavely, and Andrew A. Chien, 10x10 a General-purpose Architectural Approach to Heterogeneity and Energy-efficiency,International Conference on Computational Science, ICCS 2011 , Singapore, June 2011. ICCS2011.
  • Andrew A. Chien, 10x10 must replace 90/10: the Future of Computer Architecture, Salishan Conference on High Performance Computing, May 2010.  10x10May2010,

People: Dilip Vasudevan, Amirali Shambayati, Tung Hoang, Kevin Fang, Tong Hu, Calvin Deutschbein, Hank Hoffmann, Andrew A. Chien (UChicago), Pietro Cicotti, Laura Carrington (UCSD/SDSC), Wen-mei Hwu (Illinois), Thomas Jablin, Heeseok Kim, Izzat El Hajj
Previous Members: Raihan ur Rasool, Lei Zhang
Collaborators:  Apala Guha (IIIT-Delhi), Vivek De, Ram Krishnamurthy (Intel)

We gratefully acknowledge support for the 10x10 project from the National Science Foundation (NSF), and Defense Advanced Research Projects Administration (DARPA).

The LSSG is part of the Systems Group in the University of Chicago's   Department of Computer Science, and also affiliated with Chicago's Computation Institute, and Argonne National Laboratory's Mathematics and Computer Science Division.
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Apala Guha,
Feb 20, 2013, 4:48 PM
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Andrew A. Chien,
Aug 21, 2013, 1:41 PM
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Apala Guha,
Mar 6, 2013, 1:07 PM
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Andrew A. Chien,
May 10, 2013, 8:44 AM
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Andrew A. Chien,
Feb 19, 2013, 6:46 PM
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paper.pdf
(233k)
Apala Guha,
Mar 6, 2013, 1:07 PM
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Andrew A. Chien,
Feb 22, 2012, 11:24 PM
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