Concept
PhysX
Publications associées (16)
Dynamic SIMD Parallel Execution on GPU from High-Level Dataflow Synthesis
Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch
Developing and fine-tuning software programs for heterogeneous hardware such as CPU/GPU processing platforms comprise a highly complex endeavor that demands considerable time and effort of software engineers and requires evaluating various fundamental comp ...
MDPI2022Gazebo Fluids: SPH-based simulation of fluid interaction with articulated rigid body dynamics
Auke Ijspeert, Jonathan Patrick Arreguit O'Neill, Wei Wang, Emmanouil Angelidis
Physical simulation is an indispensable component of robotics simulation platforms that serves as the basis for a plethora of research directions. Looking strictly at robotics, the common characteristic of the most popular physics engines, such as ODE, DAR ...
IEEE2022A Coarse-mesh Methodology for the Analysis of One and Two-phase Nuclear Reactor Thermal-hydraulics in a Multi-physics Context
The analysis of nuclear reactors for performance and safety assessment benefits from the use of computational tools. In this context, this work aims at the development and application of a thermal-hydraulics methodology and related software that respond to ...
EPFL2021Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning
David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Arman Iranfar
The advent of online video streaming services along with the users' demand for high-quality contents require High Efficiency Video Coding (HEVC), which provides higher quality and compression at the cost of increased complexity. On one hand, HEVC exposes a ...
2020BLADE: A BitLine Accelerator for Devices on the Edge
David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, William Andrew Simon, Yasir Mahmood Qureshi
The increasing ubiquity of edge devices in the consumer market, along with their ever more computationally expensive workloads, necessitate corresponding increases in computing power to support such workloads. In-memory computing is attractive in edge devi ...
2019HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines
Anastasia Ailamaki, Periklis Chrysogelos, Manolis Karpathiotakis, Raja Appuswamy
Modern server hardware is increasingly heterogeneous as hardware accelerators, such as GPUs, are used together with multicore CPUs to meet the computational demands of modern data analytics workloads. Unfortunately, query parallelization techniques used by ...
2019Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization
Christian O'Reilly, Raphaël Vallat
We present Visbrain, a Python open-source package that offers a comprehensive visualization suite for neuroimaging and electrophysiological brain data. Visbrain consists of two levels of abstraction: (1) objects which represent highly configurable neuroori ...
FRONTIERS MEDIA SA2019GPU Acceleration for Simulating Massively Parallel Many-Core Platforms
David Atienza Alonso, Luca Benini, Martino Ruggiero, Shivani Raghav
Emerging massively parallel architectures such as a general-purpose processor plus many-core programmable accelerators are creating an increasing demand for novel methods to perform their architectural simulation. Most state-of-the-art simulation technolog ...
Institute of Electrical and Electronics Engineers2015Scalable Simulation Methodologies for Many-Core Heterogeneous Systems
With increasing complexity and performance demands of emerging compute-intensive data-parallel workloads, many-core computing systems are becoming a popular trend in computer design. Fast and scalable simulation methods are needed to make meaningful predic ...
EPFL2014On Secure and Precise IR-UWB Ranging
Jean-Yves Le Boudec, Jean-Pierre Hubaux, Panagiotis Papadimitratos, Marcin Poturalski, Manuel Flury
To provide high ranging precision in multipath environments, a ranging protocol should find the first arriving path, rather than the strongest path. We demonstrate a new attack vector that disrupts such precise Time-of-Arrival (ToA) estimation, and allows ...
Institute of Electrical and Electronics Engineers2012