Optimizing compilers for modern architectures: a dependence-based approach
Optimizing compilers for modern architectures: a dependence-based approach
Language support for lightweight transactions
OOPSLA '03 Proceedings of the 18th annual ACM SIGPLAN conference on Object-oriented programing, systems, languages, and applications
Implementing deterministic declarative concurrency using sieves
Proceedings of the 2007 workshop on Declarative aspects of multicore programming
Languages and Compilers for Parallel Computing
Set-Congruence Dynamic Analysis for Thread-Level Speculation (TLS)
Languages and Compilers for Parallel Computing
Deriving Efficient Data Movement from Decoupled Access/Execute Specifications
HiPEAC '09 Proceedings of the 4th International Conference on High Performance Embedded Architectures and Compilers
Compile-Time and Run-Time Issues in an Auto-Parallelisation System for the Cell BE Processor
Euro-Par 2008 Workshops - Parallel Processing
Auto-parallelisation of sieve C++ programs
Euro-Par'07 Proceedings of the 2007 conference on Parallel processing
Programming language design and analysis motivated by hardware evolution
SAS'07 Proceedings of the 14th international conference on Static Analysis
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Computer systems are increasingly parallel and heterogeneous, while programs are still largely written in sequential languages. The obvious suggestion that the compiler should automatically distribute a sequential program across the system usually fails in practice because of the complexity of dependence analysis in the presence of aliasing. We introduce the sieve language construct which facilitates dependence analysis by using the programmer's knowledge about data dependences and makes code more amenable to automatic parallelisation. The behaviour of sieve programs is deterministic, hence predictable and repeatable. Commercial implementations by Codeplay shows that sieve programs can be efficiently mapped onto a range of systems. This suggests that the sieve construct can be used for building reliable, portable and efficient software for multi-core systems.