Publications associées à Tesla (NVIDIA)

A review of CUDA optimization techniques and tools for structured grid computing

Recent advances in GPUs opened a new opportunity in harnessing their computing power for general purpose computing. CUDA, an extension to C programming, is developed for programming NVIDIA GPUs. However, efficiently programming GPUs using CUDA is very tedi ...

2020

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

Jean-Paul Richard Kneib, Markus Rexroth, Christoph Ernst René Schäfer

Strong gravitational lensing is a powerful probe of cosmology and the dark matter distribution. Efficient lensing software is already a necessity to fully use its potential and the performance demands will only increase with the upcoming generation of tele ...

ELSEVIER2020

CoreNEURON : An Optimized Compute Engine for the NEURON Simulator

James Gonzalo King, Felix Schürmann, Michael Lee Hines, Fabien Jonathan Delalondre, Aleksandr Ovcharenko, Pramod Shivaji Kumbhar, Jérémy Pierre Benoit Fouriaux

The NEURON simulator has been developed over the past three decades and is widely used by neuroscientists to model the electrical activity of neuronal networks. Large network simulation projects using NEURON have supercomputer allocations that individually ...

2019

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

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

An Accelerator for High Efficient Vision Processing

Paolo Ienne, Robert Fasthuber, Zidong Du, Qi Guo

In recent years, neural network accelerators have been shown to achieve both high energy efficiency and high performance for a broad application scope within the important category of recognition and mining applications. Still, both the energy efficiency a ...

Ieee-Inst Electrical Electronics Engineers Inc2017

ShiDianNao: shifting vision processing closer to the sensor

Paolo Ienne, Robert Fasthuber, Zidong Du

In recent years, neural network accelerators have been shown to achieve both high energy efficiency and high performance for a broad application scope within the important category of recognition and mining applications. Still, both the energy efficiency a ...

ACM2015

Fast Software AES Encryption

Dag Arne Osvik, Joppe Willem Bos, Deian Stefan

This paper presents new software speed records for AES-128 encryption for architectures at both ends of the performance spectrum. On the one side we target the low-end 8-bit AVR rnicrocontrollers and 32-bit ARM microprocessors, while on the other side of t ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

Performance Analysis of the SHA-3 Candidates on Exotic Multi-core Architectures

Joppe Willem Bos, Deian Stefan

The NIST hash function competition to design a new cryptographic hash standard 'SHA-3' is currently one of the hot topics in cryptologic research, its outcome heavily depends on the public evaluation of the remaining 14 candidates. There have been several ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010