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Publications associées (24)

Improving Main-memory Database System Performance through Cooperative Multitasking

Database systems access memory either sequentially or randomly. Contrary to sequential access and despite the extensive efforts of computer architects, compiler writers, and system builders, random access to data larger than the processor cache has been s ...

EPFL2019

A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories

David Atienza Alonso, Marina Zapater Sancho, Pierre-Emmanuel Julien Marc Gaillardon, Xifan Tang, Yasir Mahmood Qureshi, Edouard Giacomin, João Miguel Morgado Pereira Vieira

The need for running complex Machine Learning (ML) algorithms, such as Convolutional Neural Networks (CNNs), in edge devices, which are highly constrained in terms of computing power and energy, makes it important to execute such applications efficiently. ...

2019

Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks

Felix Schürmann, Michael Lee Hines

Modern asynchronous runtime systems allow the re-thinking of large-scale scientific applications. With the example of a simulator of morphologically detailed neural networks, we show how detaching from the commonly used bulk-synchronous parallel (BSP) exec ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Fast Energy Estimation Through Partial Execution of HPC Applications

Marina Zapater Sancho, José Luis Ayala Rodrigo

In order to optimize the energy use of servers in Data Centers, techniques such as power capping or power budgeting are usually deployed. These techniques rely on the prediction of the power and execution time of applications. These data are obtained via d ...

IEEE2018

Scrub: Online TroubleShooting for Large Mission-Critical Applications

Willy Zwaenepoel

Scrub is a troubleshooting tool for distributed applications that operate under strict SLOs common in production environments. It allows users to formulate queries on events occurring during execution in order to assess the correctness of the application’s ...

2018

On verifying causal consistency

Rachid Guerraoui, Jad Hamza

Causal consistency is one of the most adopted consistency criteria for distributed implementations of data structures. It ensures that operations are executed at all sites according to their causal precedence. We address the issue of verifying automaticall ...

On Verifying Causal Consistency

Rachid Guerraoui, Jad Hamza

2016

Pre-simulation symbolic analysis of synchronization issues between discrete event and timed data flow models of computation

Alain Vachoux

The SystemC AMS extensions support heterogeneous modeling and make use of several Models of Computation (MoCs) that operate on different time scales in the Discrete Event (DE), Discrete Time (DT), and Continuous Time (CT) domains. The simulation of such he ...

IEEE Conference Publications2015

Automatic generation of program execution that reaches a given failure point

George Candea, Cristian Zamfir

An execution of a target software program that causes a particular bug to manifest itself is generated. A target software program is received. A bug report generated by an execution of the target software program is received. The bug report describes a par ...

2015

Automated Debugging for Arbitrarily Long Executions

George Candea, Edouard Bugnion, Johannes Kinder, Cristian Zamfir, Baris Can Cengiz Kasikci

One of the most energy-draining and frustrating parts of software development is playing detective with elusive bugs. In this paper we argue that automated post-mortem debugging of failures is feasible for real, in-production systems with no runtime record ...

2013

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