Publications related to Scheduling Of Dataflow Models Within The Reconfigurable Video Coding Framework

Composite Data Types in Dynamic Dataflow Languages as Copyless Memory Sharing Mechanism

Marco Mattavelli, Endri Bezati, Aurélien François Gilbert Bloch

This paper presents new optimization approaches aiming at reducing the impact of memory accesses on the performance of dataflow programs. The approach is based on introducing a high level management of composite data types in dynamic dataflow programming l ...

2019

Shrink It or Shed It! Minimize the Use of LSQs in Dataflow Designs

Paolo Ienne, Andrea Guerrieri, Lana Josipovic, Atri Bhattacharyya

When applications have unpredictable memory accesses or irregular control flow, dataflow circuits overcome the limitations of statically scheduled high-level synthesis (HLS). If memory dependences cannot be determined at compile time, dataflow circuits rel ...

IEEE COMPUTER SOC2019

An Heterogeneous Compiler Of Dataflow Programs For Zynq Platforms

Marco Mattavelli, Simone Casale Brunet, Romuald Mosqueron, Endri Bezati

In recent years, the number and variety of heterogeneous multiprocessor system-on-chip MPSoCs, such as for instance Zynq platforms, has sensibly increased. However, today all design flow solutions capable of programming the different components of such pla ...

IEEE2019

Rationally almost periodic sequences, polynomial multiple recurrence and symbolic dynamics

Florian Karl Richter

A set

R\subset \mathbb{N}

is called rational if it is well approximable by finite unions of arithmetic progressions, meaning that for every

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there exists a set

B=\bigcup _{i=1}^{r}a_{i}\mathbb{N}+b_{i}

, where $a_{1},\ldots ,a_ ...

2019

High-Precision Performance Estimation for the Design Space Exploration of Dynamic Dataflow Programs

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

The implementation and optimization of dynamic dataflow programs on multi/many-core platforms require solving a very difficult problem: how to partition and schedule the processing elements and dimension their interconnecting buffers according to given opt ...

2018

Shared-variable Synchronization Approaches for Dynamic Data Flow Programs

Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Apostolos Modas, Junaid Jameel Ahmad

This paper presents shared-variable synchronization approaches for dataflow programming. The mechanisms do not require any substantial model of computation (MoC) modification, and is portable across both for hardware (HW) and software (SW) low-level code s ...

IEEE2018

Execution Trace Graph of Dataflow Process Networks

Marco Mattavelli, Simone Casale Brunet

The paper introduces and specifies a formalism that provides complete representations of dataflow process network (DPN) program executions, by means of directed acyclic graphs. Such graphs, also known as execution trace graphs (ETG), are composed of nodes ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, William Andrew Simon

The design of new streaming systems is becoming a major area of research to deploy services targeted in the Internet-of-Things (IoT) era. In this context, the new High Efficiency Video Coding (HEVC) standard provides high efficiency and scalability of qual ...

2018

Dynamic Adaptive Streaming for Multi-Viewpoint Omnidirectional Videos

Pascal Frossard, Francesca De Simone, Xavier Corbillon

Full immersion inside a Virtual Reality (VR) scene requires six Degrees of Freedom (6DoF) applications where the user is allowed to perform translational and rotational movements within the virtual space. The implementation of 6DoF applications is however ...

ASSOC COMPUTING MACHINERY2018

On the inference speed and video-compression robustness of DeepLabCut

Alexander Mathis

Pose estimation is crucial for many applications in neuroscience, biomechanics, genetics and beyond. We recently presented a highly efficient method for markerless pose estimation based on transfer learning with deep neural networks called DeepLabCut. Curr ...

Animal Behavior and Cognition2018

Scheduling Of Dataflow Models Within The Reconfigurable Video Coding Framework

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Composite Data Types in Dynamic Dataflow Languages as Copyless Memory Sharing Mechanism

Shrink It or Shed It! Minimize the Use of LSQs in Dataflow Designs

An Heterogeneous Compiler Of Dataflow Programs For Zynq Platforms

Rationally almost periodic sequences, polynomial multiple recurrence and symbolic dynamics

High-Precision Performance Estimation for the Design Space Exploration of Dynamic Dataflow Programs

Shared-variable Synchronization Approaches for Dynamic Data Flow Programs

Execution Trace Graph of Dataflow Process Networks

A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs

Dynamic Adaptive Streaming for Multi-Viewpoint Omnidirectional Videos

On the inference speed and video-compression robustness of DeepLabCut

Composite Data Types in Dynamic Dataflow Languages as Copyless Memory Sharing Mechanism

Shrink It or Shed It! Minimize the Use of LSQs in Dataflow Designs

An Heterogeneous Compiler Of Dataflow Programs For Zynq Platforms

Rationally almost periodic sequences, polynomial multiple recurrence and symbolic dynamics

A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs

Dynamic Adaptive Streaming for Multi-Viewpoint Omnidirectional Videos

On the inference speed and video-compression robustness of DeepLabCut

High-Precision Performance Estimation for the Design Space Exploration of Dynamic Dataflow Programs

Shared-variable Synchronization Approaches for Dynamic Data Flow Programs

Execution Trace Graph of Dataflow Process Networks