Global optimizations for parallelism and locality on scalable parallel machines
PLDI '93 Proceedings of the ACM SIGPLAN 1993 conference on Programming language design and implementation
Some efficient solutions to the affine scheduling problem: I. One-dimensional time
International Journal of Parallel Programming
Strong and weak convex hulls in non-Euclidean metric: theory and application
Pattern Recognition Letters
Optimal latency-throughput tradeoffs for data parallel pipelines
Proceedings of the eighth annual ACM symposium on Parallel algorithms and architectures
Computing Two-Dimensional Integer Hulls
SIAM Journal on Computing
CLAIRE: combining sets, search and rules to better express algorithms
Proceedings of the 1999 international conference on Logic programming
On the complexity of loop fusion
Parallel Computing - Special issue on new trends on scheduling in parallel and distributed systems
PROMPT: a mapping environment for telecom applications on “system-on-a-chip”
CASES '00 Proceedings of the 2000 international conference on Compilers, architecture, and synthesis for embedded systems
Distance-Constrained Scheduling and Its Applications to Real-Time Systems
IEEE Transactions on Computers
Declustering: A New Multiprocessor Scheduling Technique
IEEE Transactions on Parallel and Distributed Systems
Scheduling the Computations of a Loop Nest with Respect to a Given Mapping
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Automatic Data Layout Using 0-1 Integer Programming
PACT '94 Proceedings of the IFIP WG10.3 Working Conference on Parallel Architectures and Compilation Techniques
Latency-constrained Resynchronization for Multiprocessor DSP Implementation
ASAP '96 Proceedings of the IEEE International Conference on Application-Specific Systems, Architectures, and Processors
Automatic data mapping of signal processing applications
ASAP '97 Proceedings of the IEEE International Conference on Application-Specific Systems, Architectures and Processors
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In this paper, we present a domain specific optimization framework based on a concurrent model-based approach for handling the complete problem of mapping a DSP application on a parallel architecture. The implementation is based on Constraint Programming and the model is described in details. Our concurrent resolution approach undertaking linear and non linear constraints takes advantage of the special features of signal processing applications. Finally, our mapping tool developped with the Eclair solver is evaluated and compared to a classical approach.