Team presentation
The CAMUS team is focusing on developing, adapting and extending automatic and semi-automatic parallelization and optimization techniques, as well as proof and certification methods, for accelerating applications with the efficient use of current and future multi-processor and multicore hardware platforms.
Research themes
The team’s research activities are organized into three main axes which are: (1) semi-automatic and assisted code optimization, (2) fully-automatic code optimization, and (3) fundamental algorithms and mathematical tools. Axes (1) and (2) include two sub-axes each: (1.1) interactive program transformation, (1.2) new language constructs, (2.1) runtime systems and dynamic analysis & optimization, and (2.2) static analysis & optimization. Every axis may include some activities related to interdisciplinary collaborations focusing on high performance computing.
While trusted and fully automatic code optimizations are generally the most convenient solutions for developers, the growing complexity of software and hardware obviously impacts their scope and effectiveness. Although fully automatic techniques can be successfully applied in restricted contexts, it is often beneficial to let expert developers make some decisions on their own. Moreover, some expert knowledge, contextual requirements, and hardware novelties cannot be immediately integrated into automatic tools.
Thus, beside automatic optimizers that play undoubtedly an important role, semi-automa\-tic optimizers providing helpful assistance to expert developers are also essential for reaching high performance. Note that such semi-automatic tools must ideally invoke fully automatic sub-parts, including dependence analyzers, code generators, correctness checkers or performance evaluators, in order to save the user from the burden of these tasks and expand the scope of the tools. Fully automatic tools may either be used as standalone solutions, when targeting the corresponding restricted codes, or used as satellite tools for semi-automatic environments. Fully automatic mechanisms are the elementary pieces of any more ambitious semi-automatic optimizing tool.
Strong advances in code analysis and transformation are often due to fundamental algorithms and mathematical tools, that enable the extraction of important properties of programs, through a constructive conceptual modeling.
International and industrial relations
International relations :
- Network of Excellence HiPEAC
- Universidad Politécnica de Madrid, Spain
- Barcelona Supercomputing Center, Spain
- Washington State University, USA
- University of Batna, Algeria
Relations with private companies :
- Reservoir Labs, New York, USA
- STMicroelectronics, Grenoble-Crolles, France
- Kalray, Paris, France
- Intel, San Diego, CA, USA
