Alexandre Guerre

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Future systems will have to support multiple and concurrent dynamic compute-intensive applications, while respecting real-time and energy consumption constraints. With the increase in the design complexity of MPSoC architectures that must support these constraints, flexible and accurate simulators become a necessity for exploring the vast design space(More)
With the growing numbers of both parallel architectures and related programming models, the benchmarking tasks become very tricky since parallel programming requires architecture-dependent compilers and languages as well as high programming expertise. More than just comparing architectures with synthetic benchmarks, benchmarking is also more and more used(More)
Embedded architectures are moving to multi-core and many-core concepts in order to sustain ever growing computing requirements within complexity and power budgets. Programming many-core architectures not only needs parallel programming skills, but also efficient exploitation of fine grain parallelism at both architecture and runtime levels. Scheduler(More)
—The need for computing power drastically increases and one solution is to use MPSoC. These MPSoCs become complex with the increase of the number of cores. Thus, designers use simulators to explore the whole platform parameters in order to define the best architecture. These sim-ulators must be fast and accurate whatever is the architecture complexity. This(More)
Due to the increasing complexity of new multiprocessor systems on chip, flexible and accurate simulators become a necessity for exploring the vast design space solution. In a streaming execution model, only a well-balanced pipeline can lead to an efficient implementation. However with dynamic applications, each stage is prone to execution time variations.(More)
The current trend in embedded computing consists in increasing the number of processing resources on a chip. Following this paradigm, cluster-based many-core accelerators with a shared hierarchical memory have emerged. Handling synchronizations on these architectures is critical since parallel implementations speed-ups of embedded applications strongly(More)
—Future systems will have to support multiple and concurrent dynamic compute-intensive applications, while respecting real-time and energy consumption constraints. To overcome these computation needs, only multithreaded approaches are possible. Thus, the support of a streaming execution model is very important for dataflow applications. However, with(More)
Benchmarking of architectures is today jeopardized by the explosion of parallel architectures and the dispersion of parallel programming models. Parallel programming requires architecture dependent compilers and languages as well as high programming expertise. Thus, an objective comparison has become a harder task. This paper presents a novel methodology to(More)