Concept

Address generation unit

Related publications (10)

Mixed-Precision Deep Learning Based on Computational Memory

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Deep neural networks (DNNs) have revolutionized the field of artificial intelligence and have achieved unprecedented success in cognitive tasks such as image and speech recognition. Training of large DNNs, however, is computationally intensive and this has ...

FRONTIERS MEDIA SA2020

Mixed-precision architecture based on computational memory for training deep neural networks

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Deep neural networks (DNN) have revolutionized the field of machine learning by providing unprecedented human-like performance in solving many real-world problems such as image or speech recognition. Training of large DNNs, however, is a computationally in ...

IEEE2018

Microarchitectural Low-Power Design Techniques for Embedded Microprocessors

Jeremy Hugues-Felix Constantin

With the omnipresence of embedded processing in all forms of electronics today, there is a strong trend towards wireless, battery-powered, portable embedded systems which have to operate under stringent energy constraints. Consequently, low power consumpti ...

EPFL2016

Computational platform for optimal design of biorefineries using energy and mass integration

François Maréchal, Adriano Viana Ensinas, Emanuela Peduzzi, Ayse Dilan Celebi

Diminishing petroleum reserves, uncertainties in energy supplies, rising demand for transportation fuels, requirement for sustainable economic growth together with global warming and stringent environmental restrictions has promoted our society to explore ...

2015

Instruction Set Extensions for Cryptographic Hash Functions on a Microcontroller Architecture

Andreas Peter Burg, Jeremy Hugues-Felix Constantin

In this paper, we investigate the benefits of instruction set extensions (ISEs) on a 16-bit microcontroller architecture for software implementations of cryptographic hash functions, using the example of the five SHA-3 final round candidates. We identify t ...

Ieee2012

PANOPTIC An Interconnected Network of Cameras

Kerem Seyid

Multi-camera systems have attracted attention in recent years due to rapidly dropping cost of digital cameras. This has enabled wide variety of new research topics and applications for Multi View Imaging (MVI) systems. Virtual view synthesis, high performa ...

2012

Proving memory safety of floating-point computations by combining static and dynamic program analysis

Johannes Kinder

Whitebox fuzzing is a novel form of security testing based on dynamic symbolic execution and constraint solving. Over the last couple of years, whitebox fuzzers have found many new security vulnerabilities (buffer overflows) in Windows and Linux applicatio ...

ACM Press2010

Proving Memory Safety of Floating-Point Computations by Combining Static and Dynamic Program Analysis

Johannes Kinder

Whitebox fuzzing is a novel form of security testing based on runtime symbolic execution and constraint solving. Over the last couple of years, whitebox fuzzers have found dozens of new security vulnerabilities (buffer overflows) in Windows and Linux appli ...

Microsoft Research2009

New method for dynamic modeling of hybrid stepping motors

Yves Perriard, Marcel Jufer

To be able to calculate the performances of a hybrid stepping motor or to design it in a short time, it is essential to apply an efficient model, accepting a slight loss of precision. Using software based on finite elements and executing calculations are d ...

2002

Address partitioning in DSM clusters with parallel coherence controllers

Babak Falsafi

Recent research suggests that DSM clusters can benefit from parallel coherence controllers. Parallel controllers requires address partitioning and synchronization to avoid handling multiple coherence events for the same memory address simultaneously. This ...

2000

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