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Shared-variable Synchronization Approaches for Dynamic Data Flow Programs

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Inter-actions parallel execution on GPU from high-level dataflow synthesis

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

Recent GPU architectures make available numbers of parallel processing units that exceed by orders of magnitude the ones offered by CPU architectures. Whereas programs written using dataflow programming languages are well suited for programming heterogeneo ...

IEEE2022

Performance Estimation of High-Level Dataflow Program on Heterogeneous Platforms

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

The performance of programs written in languages following the dataflow model of computation (MoC) largely depends on the configuration (partitioning, mapping, scheduling, buffer dimensioning) chosen during the synthesis stages. Furthermore, this programmi ...

2022

Gyrokinetic simulations on many- and multi-core architectures with the global electromagnetic Particle-In-Cell Code ORB5

Laurent Villard, Stephan Brunner, Emmanuel Lanti, Noé Thomas Elie Ohana, Claudio Gheller

Gyrokinetic codes in plasma physics need outstanding computational resources to solve increasingly complex problems, requiring the effective exploitation of cutting-edge HPC architectures. This paper focuses on the enabling of ORB5, a state-of-the-art, fir ...

2021

Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Mohammad Saeed Rad, Guillaume Marc Georges Vray, Devavrat Tomar

In medical image segmentation, supervised deep networks' success comes at the cost of requiring abundant labeled data. While asking domain experts to annotate only one or a few of the cohort's images is feasible, annotating all available images is impracti ...

IEEE COMPUTER SOC2022

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

Recent Advances in Piezoelectric Materials for Electromechanical Transducer Applications

Dragan Damjanovic

Ferroelectricity has made a huge impact on science and technology since Joseph Valasek (then a Ph.D. student at the University of Minnesota) discovered it in 1920, a little longer than 100 years ago. Whereas Dr. Valasek's original research was motivated by ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

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

MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, Luis Maria Costero Valero

Real-time video transcoding has recently raised as a valid alternative to address the ever-increasing demand for video contents in servers' infrastructures in current multi-user environments. High Efficiency Video Coding (HEVC) makes efficient online trans ...

IEEE2019

DASS: Combining Dynamic & Static Scheduling in High-Level Synthesis

Paolo Ienne, Lana Josipovic

A central task in high-level synthesis is scheduling: the allocation of operations to clock cycles. The classic approach to scheduling is static, in which each operation is mapped to a clock cycle at compile-time, but recent years have seen the emergence o ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

An Heterogeneous Compiler Of Dataflow Programs For Zynq Platforms

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

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

Beam Measurements and Machine Learning at the CERN Large Hadron Collider

Frédéric Blanc, Tatiana Pieloni, Xavier Buffat, Michael Schenk

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Speculative Dataflow Circuits

Paolo Ienne, Andrea Guerrieri, Lana Josipovic

With FPGAs facing broader application domains, the conversion of imperative languages into dataflow circuits has been recently revamped as a way to overcome the conservatism of statically scheduled high-level synthesis. Apart from the ability to extract pa ...

ASSOC COMPUTING MACHINERY2019

BLADE: A BitLine Accelerator for Devices on the Edge

David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, William Andrew Simon, Yasir Mahmood Qureshi

The increasing ubiquity of edge devices in the consumer market, along with their ever more computationally expensive workloads, necessitate corresponding increases in computing power to support such workloads. In-memory computing is attractive in edge devi ...

2019

Up to 50 dB Extinction in Broadband Single-Stage Thermo-Optic Mach-Zehnder Interferometers for Programmable Low-Loss Silicon Nitride Photonic Circuits

Michail Zervas, Michael Wolfgang Geiselmann

We demonstrate single-stage thermo-optic Si3N4 interferometers with (46.1 +/- 2.5) dB average extinction ratio over 1460-1640 nm (approximate to 50x of typical devices). We analyze performance requirements for creating reconfigurable high-quality-factor re ...

IEEE2021

Magnetic-free Nitride Optical Isolator on Chip

Tobias Kippenberg, Junqiu Liu, Rui Ning Wang, Jijun He, Anat Siddharth, Terence Albert Emile Blésin

We demonstrated a magnetic-free optical isolator for Si3N4 photonics using AlN piezoelectric actuators. Maximum of 10 dB isolation and

IEEE2021

Design of approximate and precision-scalable circuits for embedded multimedia and neural-network processing

Vincent Frédéric Camus

Density, speed and energy efficiency of integrated circuits have been increasing exponentially for the last four decades following Moore's law. However, power and reliability pose several challenges to the future of technology scaling. Approximate computin ...

EPFL2019

FPGA-Assisted Deterministic Routing for FPGAs

Mirjana Stojilovic

FPGA routing is one of the most time-consuming steps of FPGA compilation, often preventing fast edit-compile-test cycles in prototyping and development. There have been attempts to accelerate FPGA routing using algorithmic improvements, multi-core or multi ...

2019

Continuous-wave electron-photon interactions using chip-based high-Q Si3N4 microresonator

Tobias Kippenberg, Junqiu Liu, Rui Ning Wang, Arslan Sajid Raja, Guanhao Huang

We observe CW-driven electron-photon interaction using a fiber-integrated high-Q Si3N4 microresonator, enabled by strong resonantly enhanced coupling with the confined optical mode. (C) 2021 The Author(s) ...

IEEE2021

Probabilistic Iterative LQR for Short Time Horizon MPC

Sylvain Calinon, Teguh Santoso Lembono

Optimal control is often used in robotics for planning a trajectory to achieve some desired behavior, as expressed by the cost function. Most works in optimal control focus on finding a single optimal trajectory, which is then typically tracked by another ...

IEEE2021

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 ...

2017