In this report, we consider the problem of scheduling streaming applications described by complex task graphs on a heterogeneous multi-core platform, the IBM QS 22 platform, embedding two STI Cell BE processor. We first derive a complete computation and communication model of the platform, based on comprehensive benchmarks. Then, we use this model to express the problem of maximizing the throughput of a streaming application on this platform. Although the problem is proven NP-complete, we present an optimal solution based on mixed linear programming. We also propose simpler scheduling heuristics to compute mapping of the application task-graph on the platform. We then come back to the platform, and propose a scheduling software to deploy st...
abstract: Stream computing has emerged as an importantmodel of computation for embedded system appli...
Abstract: We investigate the energy-efficiency of streaming task collections with par-allelizable or...
In this document, I explore the problem of scheduling pipelined applications onto large-scale distri...
In this paper, we consider the problem of scheduling streaming applications described by complex tas...
International audienceIn this paper, we study the problem of optimizing the throughput of streaming ...
In this paper, we deal with the problem of scheduling streaming applications on unreliable heterogen...
The results summarized in this document deal with the mapping and scheduling of workow applications ...
This thesis addresses the problem of designing performance and energy efficient embedded streaming s...
Streaming applications have become increasingly important and widespread,with application domains ra...
AbstractStream programming languages have become popular owing to their representations that enable ...
We aim at finding optimal mappings for concurrent streaming applications. Each application consists ...
This book provides a comprehensive overview of the state-of-the-art, data flow-based techniques for ...
Embedded streaming applications specified using parallel Models of Computation (MoC) often contain a...
Les systèmes embarqués sont de plus en plus présents dans l'industrie comme dans la vie quotidienne....
International audienceWe aim at finding optimal mappings for concurrent streaming applications. Each...
abstract: Stream computing has emerged as an importantmodel of computation for embedded system appli...
Abstract: We investigate the energy-efficiency of streaming task collections with par-allelizable or...
In this document, I explore the problem of scheduling pipelined applications onto large-scale distri...
In this paper, we consider the problem of scheduling streaming applications described by complex tas...
International audienceIn this paper, we study the problem of optimizing the throughput of streaming ...
In this paper, we deal with the problem of scheduling streaming applications on unreliable heterogen...
The results summarized in this document deal with the mapping and scheduling of workow applications ...
This thesis addresses the problem of designing performance and energy efficient embedded streaming s...
Streaming applications have become increasingly important and widespread,with application domains ra...
AbstractStream programming languages have become popular owing to their representations that enable ...
We aim at finding optimal mappings for concurrent streaming applications. Each application consists ...
This book provides a comprehensive overview of the state-of-the-art, data flow-based techniques for ...
Embedded streaming applications specified using parallel Models of Computation (MoC) often contain a...
Les systèmes embarqués sont de plus en plus présents dans l'industrie comme dans la vie quotidienne....
International audienceWe aim at finding optimal mappings for concurrent streaming applications. Each...
abstract: Stream computing has emerged as an importantmodel of computation for embedded system appli...
Abstract: We investigate the energy-efficiency of streaming task collections with par-allelizable or...
In this document, I explore the problem of scheduling pipelined applications onto large-scale distri...