Research Overview
We are interested in how compiler and architecture technology can lead to better performance in parallel, high-performance, and application-specific computer systems. We are interested in developing theory and optimisation techniques for both compilers and architecture, and we are especially interested in the interaction between the two. There is on-going work in the development of auto-parallelising compilers and program transformation theory for high performance and embedded systems. Iterative, feedback directed compilation is another current research area where we investigate different optimisation spaces and search strategies. We are also currently investigating hardware and software issues in speculative parallelisation for both small and large scale multiprocessors.
Members
Academic:

Marcelo Cintra
Murray Cole
Aris Efthymiou
Björn Franke
Michael O'Boyle
Nigel Topham
Research:

Timothy Jones
Deepali Kopad
Students:

Carlos Acosta-León
Richard Bennett
Christophe Dubach
Damon Fenacci
Chris Fensch
Salman Khan
Daniel Jones
Thomas Greenwood
Israel Hernandez
Hugh Leather
Yan Li
Alastair Murray
Constantino Ribeiro
Giri Saranu
John Thomson
Georgios E. Tournavitis
Dilip Vasudevan
Horacio González-Vélez
Zheng Wang
Polychronis Xekalakis
Gagarine Yaikhom
Marcela Zuluaga
Collaborators:

John Cavazos
Grigori Fursin
Diego R. Llanos

Former members
Publications
All publications
Theses
Projects
  • European Network of Excellence on High-Performance Embedded Architecture and Compilation
  • Compilers that Learn to Optimize
  • Memory Optimization, Iterative Compilation and Performance Prediction, Learning Compilers
  • Automatic Parallelisation for DSPs
  • Categorical Languages for High-Performance Computing
  • Cellular Multiprocessors
  • Speculative Architectures
  • Scalable computer ARChitecture
  • Machine Learning for Embedded Programs Optimisation
  • Grants
    Past projects
    Last modified: 2008-03-03
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