Adaptive compilation
Submitted by admin on Thu, 06/12/2007 - 16:48.
Research challenge:
One of the key challenges of future multi-core architectures is programmability and scalability. As compilers link the code written by programmers to the underlying parallel hardware, this cluster has a pivotal role to play. It will focus on versatility by adapting the user code to the ever changing underlying hardware. It will pursue a system wide perspective on adapting programs, and more generally workloads, to both short-term architecture variation, such as cache misses, and longer-term changes, such as the increasing number of processors available. It will include the following topics.
Initial research topics:
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System adapts to hardware
- Iterative compilation: auto-tuning/parallelizing applications to new parallel hardware
- Machine learning based compilation: using machine learning to learn new optimization strategies for multi-cores
- Dynamic compilation and virtual machines: combining ahead of time optimization plus JIT compilation for Java and .NET-like applications on multi-cores
- Hardware adapts to system
- Compiler/runtime fusion: Both make resource and scheduling decision. Combining allows static knowledge about future behavior and previous dynamic behavior to be exploited.
- Resource-aware compilation. Use knowledge of the program to configure the processor to maximize ED2. Specialize the ISA to give ASIP solutions.
- Reconfiguration: dynamically change the processor structure based on either off-line analysis or dynamic knowledge.
Planned activities:
- Co-organize a workshop with CPC (International Workshop on Compilers for Parallel Computing) January 2009.
- Linking together the European compiler community via joint papers and workshops.
- Interacting with other clusters to develop a system wide view of performance optimization.