Publication

Equinox: Training (for Free) on a Custom Inference Accelerator

Publications associées (32)

Automatic Generation of Efficient Accelerators for Reconfigurable Hardware

Acceleration in the form of customized datapaths offer large performance and energy improvements over general purpose processors. Reconfigurable fabrics such as FPGAs are gaining popularity for use in implementing application-specific accelerators, thereby ...

Ieee2016

ShiDianNao: shifting vision processing closer to the sensor

Paolo Ienne, Robert Fasthuber, Zidong Du

In recent years, neural network accelerators have been shown to achieve both high energy efficiency and high performance for a broad application scope within the important category of recognition and mining applications. Still, both the energy efficiency a ...

ACM2015

Accelerators for Data Processing

Yusuf Onur Koçberber

The explosive growth in digital data and its growing role in real-time analytics motivate the design of high-performance database management systems (DBMSs). Meanwhile, slowdown in supply voltage scaling has stymied improvements in core performance and ush ...

EPFL2015

Energy-Efficient Co-Design Optimization of Many-Core Platforms for Big-Data Streaming Applications

Karim Kanoun

Big-Data streaming applications are used in several domains such as social media analysis, financial analysis, video annotation, surveillance, medical services and traffic prediction. These applications, running on different types of platforms from mobile ...

EPFL2015

Multi-dimensional hybrid Fourier continuation-WENO solvers for conservation laws

Jan Sickmann Hesthaven

We introduce a multi-dimensional point-wise multi-domain hybrid Fourier-Continuation/WENO technique (FC-WENO) that enables high-order and non-oscillatory solution of systems of nonlinear conservation laws, and essentially dispersionless, spectral, solution ...

Elsevier2013

Full System Simulation of Many-Core Heterogeneous SoCs using GPU and QEMU Semihosting

David Atienza Alonso, Luca Benini, Martino Ruggiero, Shivani Raghav

Modern system-on-chips are evolving towards complex and heterogeneous platforms with general-purpose processors coupled with massively parallel manycore accelerator fabrics (e.g. embedded GPUs). Platform developers are looking for efficient full-system sim ...

2012

Processeur à haut degré de parallélisme basé sur des composantes sérielles

Ralph Hoffmann

Nowaday, the world of processors is still dominated by the RISC architectures, which foundations have been laid down in the 70's. The RISC concept may be summarized by one word : simplicity. With this concept, much simpler architectures are born, in partic ...

EPFL2004

Adding limited reconfigurability to superscalar processors

Marc Epalza

For the last thirty years, electronics, at first built with discrete components, and then as Integrated Circuits (IC), have brought diverse and lasting improvements to our quality of life. Examples might include digital calculators, automotive and airplane ...

EPFL2004

Compact Q-Learning Optimized for Micro-robots with Processing and Memory Constraints

Roland Siegwart, Masoud Asadpour

Scaling down robots to miniature size introduces many new challenges including memory and program size limitations, low processor performance and low power autonomy. In this paper we describe the concept and implementation of learning of a safewandering ta ...

2004

Load sharing for multiprocessor network nodes

This thesis discusses techniques for sharing the processing load among multiple processing units within systems that act as nodes in a data communications network. Load-sharing techniques have been explored in the field of computer science for many years a ...

EPFL2003

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search