Publications associées à 3DNow!

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

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

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

Christian Enz, Vincent Frédéric Camus

2019

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

Boosting Binary Keypoint Descriptors

Pascal Fua, Vincent Lepetit, Tomasz Piotr Trzcinski, Christos Marios Christoudias

Binary keypoint descriptors provide an efficient alternative to their floating-point competitors as they enable faster processing while requiring less memory. In this paper, we propose a novel framework to learn an extremely compact binary descriptor we ca ...

2013

An Architecture-Independent Instruction Shuffler to Protect against Side-Channel Attacks

Paolo Ienne, Ali Galip Bayrak, Wayne Burleson, Nikola Velickovic

Embedded cryptographic systems, such as smart cards, require secure implementations that are robust to a variety of low-level attacks. Side-Channel Attacks (SCA) exploit the information such as power consumption, electromagnetic radiation and acoustic leak ...

2012

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3DNow!

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

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

BLADE: A BitLine Accelerator for Devices on the Edge

Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance

Boosting Binary Keypoint Descriptors

An Architecture-Independent Instruction Shuffler to Protect against Side-Channel Attacks

Graph Chatbot

Chattez avec Graph Search

BLADE: A BitLine Accelerator for Devices on the Edge

An Architecture-Independent Instruction Shuffler to Protect against Side-Channel Attacks

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

Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance

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

Boosting Binary Keypoint Descriptors