Publications associées à NetBSD

Stress granules quantification on fixed and live cells

Francesco Stellacci, Romain Guiet, Xufeng Xu

The custom script was written based on Fiji for measuring the number or size of stress granules inside fixed cells (using a fixed threshold) or live cells (using a local maximum). It allows the batch image data processing for the study of the effects of di ...

Zenodo2023

End-to-end kernel learning via generative random Fourier features

Fanghui Liu, Jie Yang

Random Fourier features (RFFs) provide a promising way for kernel learning in a spectral case. Current RFFs-based kernel learning methods usually work in a two-stage way. In the first-stage process, learn-ing an optimal feature map is often formulated as a ...

ELSEVIER SCI LTD2023

NVCache: A Plug-and-Play NVMM-based I/O Booster for Legacy Systems

Rafael Pereira Pires, Pascal Felber

This paper introduces NVCache, an approach that uses a non-volatile main memory (NVMM) as a write cache to improve the write performance of legacy applications. We compare NVCache against file systems tailored for NVMM (Ext4-DAX and NOVA) and with I/O-heav ...

IEEE2021

Dynamically reconfigurable DEAs incorporating shape memory polymer fibers

Herbert Shea, Bekir Aksoy

We present variable stiffness dielectric elastomer actuators (DEAs), combining a single DEA actuator with embedded shape memory polymer (SMP) fibers, which can be electrically addressed to locally reduce the stiffness by a factor of 100. The device accommo ...

SPIE-INT SOC OPTICAL ENGINEERING2019

Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications

David Atienza Alonso, Giovanni Ansaloni, Miguel Peon Quiros, Soumya Subhra Basu, Loris Gérard Duch

In the Internet-of-Things (IoT) era, there is an increasing trend to enable intelligent behavior in edge computing sensors. Thus, a new generation of smart wearable devices for health monitoring is being developed, able to perform complex Digital Signal Pr ...

IEEE2018

Hardware Acceleration of HDR-Image Tone Mapping on an FPGA-CPU Platform Through High-Level Synthesis

Christian Enz, Vincent Frédéric Camus, Alessandro Pezzotta, Jérémy Lucien Maurice Schlachter, Mattia Cacciotti

In this paper, the hardware acceleration of a tone-mapping algorithm for High-Dynamic-Range image processing is presented. Starting from the C++ source code, High-Level Synthesis has been performed using Xilinx SDSoC for a Xilinx Zynq SoC device. After an ...

IEEE2018

VNToR: Network Virtualization at the Top-of-Rack Switch

Edouard Bugnion, Aikaterini Argyraki, Georgios Ioannidis, Sam David Whitlock, Jonas Fietz

Cloud providers typically implement abstractions for net- work virtualization on the server, within the operating sys- tem that hosts the tenant virtual machines or containers. Despite being flexible and convenient, this approach has funda- mental problems ...

2016

A Portable Kernel Abstraction for Low-Overhead Ephemeral Mapping Management

Willy Zwaenepoel

Modern operating systems create ephemeral virtual-to-physical mappings for a variety of purposes, ranging from the implementation of interprocess communication to the implementation of process tracing and debugging. With succeeding generations of processor ...

2005