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Marco Mattavelli

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Related publications (143)

Differential gene expression with lossy compression of quality scores in RNA-seq data

Marco Mattavelli, Claudio Paolo Alberti, Ana Angelica Hernandez Lopez

Ieee Computer Soc2017

Design space exploration of dataflow-based Smith-Waterman FPGA implementations

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

2017

MPEG-G the emerging standard for genomic data compression

Marco Mattavelli, Claudio Paolo Alberti

2017

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

Clock-Gating of Streaming Applications for Energy Efficient Implementations on FPGAs

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

This paper investigates the reduction of dynamic power for streaming applications yielded by asynchronous dataflow designs by using clock gating techniques. Streaming applications constitute a very broad class of computing algorithms in areas such as signa ...

2016

Design Space Exploration Problem Formulation for Dataflow Programs on Heterogeneous Architectures

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

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

Programming Models and Methods for Heterogeneous Parallel Embedded Systems

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

The growing complexity of digital signal processing applications makes a compelling case for the adoption of higher-level programming models such as dataflow for the implementation of applications on programmable logic devices and many/multi-core embedded ...

2016

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

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 reconfigurable and embedded devices. Past research has shown that raising the level o ...

2016

Trace-based manycore partitioning of stream-processing applications

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

Application performance on these processor array platforms is highly sensitive to how functionality is physically placed on the device, as this choice crucially determines communication latencies and congestion patterns of the on-chip inter-core communicat ...

2016

High-Precision Performance Estimation of Dynamic Dataflow Programs

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

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

An Evaluation Framework for Lossy Compression of Genome Sequencing Quality Values

Marco Mattavelli, Claudio Paolo Alberti, Ana Angelica Hernandez Lopez

This paper provides the specification and an initial validation of an evaluation framework for the comparison of lossy compressors of genome sequencing quality values. The goal is to define reference data, test sets, tools and metrics that shall be used to ...

Ieee2016

On the Development and Optimization of HEVC Video Decoders Using High-Level Dataflow Modeling

Marco Mattavelli, Claudio Paolo Alberti, Damien Jack De Saint Jorre, Daniele Renzi

2016

Comparison of high-throughput sequencing data compression tools

Marco Mattavelli, Claudio Paolo Alberti

High-throughput sequencing (HTS) data are commonly stored as raw sequencing reads in FASTQ format or as reads mapped to a reference, in SAM format, both with large memory footprints. Worldwide growth of HTS data has prompted the development of compression ...

Nature Publishing Group2016

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

Automated Design Flow for Multi-Functional Dataflow-Based Platforms

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

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

Actor Merging for Dataflow Process Networks

Marco Mattavelli, Jani Boutellier, Ghislain Roquier

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

Synthesis and Optimization of Pipelines for HW Implementations of Dataflow Programs

Marco Mattavelli, Anatoly Prihozhy, Ab Al Hadi Bin Ab Rahman, Endri Bezati

This paper introduces a new methodology for pipeline synthesis with applications to data flow high-level system design. The pipeline synthesis is applied to dataflow programs whose operators are translated into graphs and dependencies relations that are th ...

Ieee-Inst Electrical Electronics Engineers Inc2015

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

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

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

A Methodology for Profiling and Partitioning Stream Programs on Many-core Architectures

Marco Mattavelli, Jani Boutellier, Malgorzata Maria Michalska

Maximizing the data throughput is a very common implementation objective for several streaming applications. Such task is particularly challenging for implementations based on many-core and multi-core target platforms because, in general, it implies tackli ...

2015

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

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