GLeeFuzz: FuzzingWebGL Through Error Message Guided Mutation

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Publications associées (29)

Redefining energy system flexibility for distributed energy system design

Jean-Louis Scartezzini, Amarasinghage Tharindu Dasun Perera, Vahid Moussavi Nik

A novel method is introduced in this study to consider flexibility taking into account both system design and operation strategy by using fuzzy logic. A stochastic optimization algorithm is introduced to optimize the system design and operation strategy of ...

2019

Milkomeda: Safeguarding the Mobile GPU Interface Using WebGL Security Checks

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GPU-accelerated graphics is commonly used in mobile applications. Unfortunately, the graphics interface exposes a large amount of potentially vulnerable kernel code (i.e., the GPU device driver) to untrusted applications. This broad attack surface has resu ...

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Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting

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Medical experts commonly use imaging including Computed Tomography (CT), Positron-Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) for diagnosis or to plan a surgery. These scans give a highly detailed representation of the patient anatomy, b ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Open Source Is A-Changin': How Qualitative Research Can Help Us Adapt

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In the past five years, industry has overwhelmingly turned to open source as a primary means to build products and services atop of, with around 80% of surveyed companies acknowledging that they run on open source. 66% of companies say they would first c ...

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Graphics Processing Units (GPUs) employ large register files to accommodate all active threads and accelerate context switching. Unfortunately, register files are a scalability bottleneck for future GPUs due to long access latency, high power consumption, ...

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Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures

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The convolutional neural networks (CNNs) have proven to be powerful classification tools in tasks that range from check reading to medical diagnosis, reaching close to human perception, and in some cases surpassing it. However, the problems to solve are be ...

TAYLOR & FRANCIS INC2018

A generalised framework for detailed classification of swimming paths inside the Morris Water Maze

Maria del Carmen Sandi Perez, Eleni Vasilaki

The Morris Water Maze is commonly used in behavioural neuroscience for the study of spatial learning with rodents. Over the years, various methods of analysing rodent data collected during this task have been proposed. These methods span from classical per ...

Nature Research2018

A GPU-Friendly Skiplist Algorithm

Nachshon Cohen

We propose a design for a fine-grained lock-based skiplist optimized for Graphics Processing Units (GPUs). While GPUs are often used to accelerate streaming parallel computations, it remains a significant challenge to efficiently offload concurrent computa ...

Ieee2017

Elastic Program Transformations : Automatically Optimizing the Reliability/Performance Trade-off in Systems Software

Jonas Benedict Wagner

Performance and reliability are important yet conflicting properties of systems software. Software today often crashes, has security vulnerabilities and data loss, while many techniques that could address such issues remain unused due to performance concer ...

EPFL2017

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Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting

Patric Hagmann, Adrien Raphaël Depeursinge, Stéphane Gobron

SPRINGER INTERNATIONAL PUBLISHING AG2018