Publications associées à Multiplieur

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Pengbo Yu, Flavio Ponzina

Machine learning algorithms such as Convolutional Neural Networks (CNNs) are characterized by high robustness towards quantization, supporting small-bitwidth fixed-point arithmetic at inference time with little to no degradation in accuracy. In turn, small ...

IEEE2024

EdgeAI-Aware Design of In-Memory Computing Architectures

Marco Antonio Rios

Driven by the demand for real-time processing and the need to minimize latency in AI algorithms, edge computing has experienced remarkable progress. Decision-making AI applications stand out for their heavy reliance on data-centric operations, predominantl ...

EPFL2024

Multiplier Architectures: Challenges and Opportunities with Plasmonic-based Logic

Giovanni De Micheli, Mathias Soeken, Eleonora Testa, Odysseas Zografos

Emerging technologies such as plasmonics and photonics are promising alternatives to CMOS for high throughput applications, thanks to their waveguide's low power consumption and high speed of computation. Besides these qualities, these novel technologies a ...

2020

Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing

Christian Enz, Vincent Frédéric Camus

The current trend for deep learning has come with an enormous computational need for billions of Multiply-Accumulate (MAC) operations per inference. Fortunately, reduced precision has demonstrated large benefits with low impact on accuracy, paving the way ...

2019

Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing

Christian Enz, Vincent Frédéric Camus

The current trend for deep learning has come with an enormous computational need for billions of Multiply-Accumulate (MAC) operations per inference. Fortunately, reduced precision has demonstrated large benefits with low impact on accuracy, paving the way ...

IEEE2019

Inner-Loop-Free ADMM for Cryo-EM

Michaël Unser, Laurène Donati, Emmanuel Emilien Louis Soubies

Thanks to recent advances in signal processing, the interest for fast ℓ1-regularized reconstruction algorithms in cryo-electron microscopy (cryo-EM) has intensified. The approaches based on the alternating-direction of multipliers method (ADMM) are particu ...

IEEE2019

Adaptive simulation-based framework for error characterization of inexact circuits

Vincent Frédéric Camus

To design faster and more energy-efficient systems, numerous inexact arithmetic operators have been proposed, generally obtained by modifying the logic structure of conventional circuits. However, as the quality of service of an application has to be ensur ...

PERGAMON-ELSEVIER SCIENCE LTD2019

An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication

David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, William Andrew Simon, Marco Antonio Rios

With the spread of cloud services and Internet of Things concept, there is a popularization of machine learning and artificial intelligence based analytics in our everyday life. However, an efficient deployment of these data-intensive services requires per ...

2019

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

Evo-Bots: A Simple, Stochastic Approach to Self-assembling Artificial Organisms

Francesco Mondada, Roderich Gross

This paper describes an alternative path towards artificial life-one by which simple modular robots with novel hybrid motion control are used to represent artificial organisms. We outline conceptually how such a system would work, and present a partial har ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

CASSIS: Characterization with Adaptive Sample-Size Inferential Statistics Applied to Inexact Circuits

Vincent Frédéric Camus

To design faster and more energy-efficient systems, numerous inexact arithmetic operators have been proposed, generally obtained by modifying the logic structure of conventional circuits. However, as the quality of service of an application has to be ensur ...

2018

Discreteness of interior transmission eigenvalues revisited

Hoài-Minh Nguyên, Quoc Hung Nguyen

This paper is devoted to the discreteness of the transmission eigenvalue problems. It is known that this problem is not self-adjoint and a priori estimates are non-standard and do not hold in general. Two approaches are used. The first one is based on the ...

Springer Verlag2017

A low-voltage CMOS-compatible time-domain photodetector, device & front end electronics

Denis Sallin

During the last decades, the usage of silicon photodetectors, both as stand-alone sensor or integrated in arrays, grew tremendously. They are now found in almost any application and any market range, from leisure products to high-end scientific apparatuses ...

EPFL2016

FIR filters for hardware-based real-time multi-band image blending

Yusuf Leblebici, Vladan Popovic

Creating panoramic images has become a popular feature in modern smart phones, tablets, and digital cameras. A user can create a 360 degree field-of-view photograph from only several images. Quality of the resulting image is related to the number of source ...

Spie-Int Soc Optical Engineering2015

A Fast Pruning Technique for Low-Power Inexact Circuit Design

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Luca Gaetano Amarù, Jaime Joven Murillo, Johan Broc

Inexact Circuits are circuits in which the accuracy of the output can be traded for cost savings (energy, area and/or delay). In the context of advanced technology scaling and power density increase, inexact circuits appear to be very promising as ...

IEEE2015

Real-Time Hardware Implementation of Multi-Resolution Image Blending

Alexandre Schmid, Yusuf Leblebici, Vladan Popovic, Kerem Seyid

A novel real-time implementation of a multi-resolution image blending algorithm is presented in this paper. A multi-resolution decomposition of the input is used to blend multiple images at different scales. Processing time is shortened by designing a pipe ...

2013

Compressor Tree Synthesis on Commercial High-Performance FPGAs

Paolo Ienne, Philip Brisk, Hadi Parandeh Afshar

Compressor trees are a class of circuits that generalizes multioperand addition and the partial product reduction trees of parallel multipliers using carry-save arithmetic. Compressor trees naturally occur in many DSP applications, such as FIR filters, and ...

2011

Exploiting Fast Carry-Chains Of Fpgas For Designing Compressor Trees

Paolo Ienne, Philip Brisk, Hadi Parandeh Afshar

Fast carry chains featuring dedicated adder circuitry is a distinctive feature of modern FPGAs. The carry chains bypass the general routing network and are embedded in the logic blocks of FPGAs for fast addition. Conventional intuition is that such carry c ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Bipartite modular multiplication method

Marcelo Kaihara

This paper proposes a new modular multiplication method that uses Montgomery residues defined by a modulus M and a Montgomery radix R whose value is less than the modulus M. This condition enables the operand multiplier to be split into two parts that can ...

2008

A flexible framework for efficient design of advanced 3D audio systems in multimedia applications

Aleksandar Simeonov

The recent advance of computer technology pushed the computing power of the modern computer systems to unprecedented levels; modern processors moved from the conventional, scalar type of architecture to more sophisticated, parallel ones, combining fast pro ...

EPFL2004