Publications associées à Fat binary

Thwarting Malicious Adversaries in Homomorphic Encryption Pipelines

Homomorphic Encryption (HE) enables computations to be executed directly on encrypted data. As such, it is an auspicious solution for protecting the confidentiality of sensitive data without impeding its usability. However, HE does not provide any guarant ...

EPFL2023

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Aurélien François Gilbert Bloch

Today's continued increase in demand for processing power, despite the slowdown of Moore's law, has led to an increase in processor count, which has resulted in energy consumption and distribution problems. To address this, there is a growing trend toward ...

EPFL2023

Performance Estimation of High-Level Dataflow Program on Heterogeneous Platforms by Dynamic Network Execution

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

The performance of programs executed on heterogeneous parallel platforms largely depends on the design choices regarding how to partition the processing on the various different processing units. In other words, it depends on the assumptions and parameters ...

MDPI2022

RetroWrite: Statically Instrumenting COTS Binaries for Fuzzing and Sanitization

Mathias Josef Payer, Duo Xu

Analyzing the security of closed source binaries is currently impractical for end-users, or even developers who rely on third-party libraries. Such analysis relies on automatic vulnerability discovery techniques, most notably fuzzing with sanitizers enable ...

IEEE COMPUTER SOC2020

HALucinator: Firmware Re-hosting Through Abstraction Layer Emulation

Mathias Josef Payer

Given the increasing ubiquity of online embedded devices, analyzing their firmware is important to security, privacy, and safety. The tight coupling between hardware and firmware and the diversity found in embedded systems makes it hard to perform dynamic ...

USENIX ASSOC2020

Programming Heterogeneous CPU-GPU Systems by High-Level Dataflow Synthesis

Marco Mattavelli, Endri Bezati, Aurélien François Gilbert Bloch

Heterogeneous processing platforms combining in various architectures CPUs, GPUs, and programmable logic, are continuously evolving providing at each generation higher theoretical levels of computing performance. However, the challenge of how efficiently s ...

IEEE2020

Code Generation in Computational Neuroscience: A Review of Tools and Techniques

Michael Lee Hines, Pramod Shivaji Kumbhar, Romain Brette

Advances in experimental techniques and computational power allowing researchers to gather anatomical and electrophysiological data at unprecedented levels of detail have fostered the development of increasingly complex models in computational neuroscience ...

2018

RUBIK: Efficient Threshold Queries on Massive Time Series

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Eleni Tzirita Zacharatou

An increasing number of applications from finance, meteorology, science and others are producing time series as output. The analysis of the vast amount of time series is key to understand the phenomena studied, particularly in the simulation sciences, wher ...

2015

Enabling Sophisticated Analysis of x86 Binaries with RevGen

George Candea, Vitaly Chipounov

Current state-of-the-art static analysis tools for binary software operate on ad-hoc intermediate representations (IR) of the machine code. Therefore, even though IRs facilitate program analysis by abstracting away the source language, it is hard to reuse ...

2011

An Extensible Technique for High-Precision Testing of Recovery Code

George Candea, Paul Dan Marinescu, Radu Banabic

Thorough testing of software systems requires ways to productively employ fault injection. We describe a technique for automatically identifying the errors exposed by shared libraries, finding good injection targets in program binaries, and producing corre ...

2010