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Publications associées (32)

Design Space Exploration Problem Formulation for Dataflow Programs on Heterogeneous Architectures

Marco Mattavelli, Malgorzata Maria Michalska, Endri Bezati, Nicolas Zufferey

The implementations of signal processing systems on the emerging many-core or multi-core processing platforms require to solve a very difficult problem: how to partition and schedule the processing tasks according to given optimization functions such as da ...

2016

Performance Estimation Based Multicriteria Partitioning Approach for Dynamic Dataflow Programs

Marco Mattavelli, Nicolas Zufferey, Malgorzata Maria Michalska

The problem of partitioning a dataflow program onto a target architecture is a difficult challenge for any application design. In general, since the problem is NP-complete, it consists of looking for high quality solutions in terms of maximizing the achiev ...

Hindawi Limited2016

High-level synthesis of dynamic dataflow programs on heterogeneous MPSoC platforms

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

The growing complexity of digital signal processing applications make a compelling case the use of high-level design and synthesis methodologies for the implementation on programmable logic devices and embedded processors. Past research has shown that, for ...

2016

High-Precision Performance Estimation of Dynamic Dataflow Programs

Marco Mattavelli, Malgorzata Maria Michalska, Simone Casale Brunet, Endri Bezati

An important challenge for a dataflow designer is to efficiently explore the design space in order to find a set of configurations that satisfy the defined objective function. The exploration directions may involve the partitioning, scheduling and buffer d ...

2016

High-level system synthesis and optimization of dataflow programs for MPSoCs

Marco Mattavelli, Simone Casale Brunet, Endri Bezati

The growing complexity of digital signal processing applications make a compelling case the use of high-level design and synthesis methodologies for the implementation on reconfigurable and embedded devices. Past research has shown that raising the level o ...

2016

TripleWave: Spreading RDF Streams on the Web

Karl Aberer, Jean Paul Calbimonte Perez

Processing data streams is increasingly gaining momentum, given the need to process these flows of information in real-time and at Web scale. In this context, RDF Stream Processing (RSP) and Stream Reasoning (SR) have emerged as solutions to combine semant ...

Springer Int Publishing Ag2016

Learning spatio-temporal patterns in the presence of input noise using phase-change memristors

Stanislaw Andrzej Wozniak, Evangelos Eleftheriou, Angeliki Pantazi

Neuromorphic systems increasingly attract research interest owing to their ability to provide biologically inspired methods of computing, alternative to the classic von Neumann architecture. In these systems, computing relies on spike-based communication b ...

2016

Analysis and optimization of dynamic dataflow programs

Simone Casale Brunet

All computing platforms, from mobile to supercomputers, are becoming more and more heterogeneous and massively parallel. While they can provide higher power efficiency and computation throughput, effective and confident use of these systems always requires ...

EPFL2015

Actor Merging for Dataflow Process Networks

Marco Mattavelli, Ghislain Roquier, Jani Boutellier

Dataflow process networks provide a versatile model of computation for specifying signal processing applications in a platform independent fashion. This attractive feature of dataflow has lately been realized in dataflow programming tools that allow synthe ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Execution Trace Graph Based Multi-criteria Partitioning of Stream Programs

Marco Mattavelli, Endri Bezati, Simone Casale Brunet, Malgorzata Maria Michalska

One of the problems proven to be NP-hard in the field of many-core architectures is the partitioning of stream programs. In order to maximize the execution parallelism and obtain the maximal data throughput for a streaming application it is essential to fi ...

2015

Automated Design Flow for Multi-Functional Dataflow-Based Platforms

Marco Mattavelli, Simone Casale Brunet, Endri Bezati

The implementation of processing platforms supporting multiple applications by runtime reconfigurations on dedicated hardware modules requires the solution of different problems. These problems are notably not-trivial since both platform and application co ...

Springer Verlag2015

Dataflow Programs Analysis and Optimization Using Model Predictive Control Techniques. Two Examples of Bounded Buffer Scheduling: Deadlock Avoidance and Deadlock Recovery Strategies

Marco Mattavelli, Simone Casale Brunet, Endri Bezati

The analysis of the trace graphs generated by dataflow program executions has been shown to be an effective tool for exploring and optimizing the design space of application programs on manycore/multicore platforms. In this work a new approach aiming at fi ...

Springer2015

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