A survey of CPU-GPU heterogeneous computing techniques

S Mittal, JS Vetter - ACM Computing Surveys (CSUR), 2015 - dl.acm.org
As both CPUs and GPUs become employed in a wide range of applications, it has been
acknowledged that both of these Processing Units (PUs) have their unique features and …

Suitability of recent hardware accelerators (DSPs, FPGAs, and GPUs) for computer vision and image processing algorithms

A HajiRassouliha, AJ Taberner, MP Nash… - Signal Processing …, 2018 - Elsevier
Computer vision and image processing algorithms form essential components of many
industrial, medical, commercial, and research-related applications. Modern imaging systems …

Computational methods for electron tomography

JJ Fernandez - Micron, 2012 - Elsevier
Electron tomography (ET) has emerged as a powerful technique to address fundamental
questions in molecular and cellular biology. It makes possible visualization of the molecular …

Acceleration of a full-scale industrial cfd application with op2

IZ Reguly, GR Mudalige, C Bertolli… - … on Parallel and …, 2015 - ieeexplore.ieee.org
Hydra is a full-scale industrial CFD application used for the design of turbomachinery at
Rolls Royce plc., capable of performing complex simulations over highly detailed …

The advent of structural biology in situ by single particle cryo-electron tomography

JG Galaz-Montoya, SJ Ludtke - Biophysics reports, 2017 - Springer
Single particle tomography (SPT), also known as subtomogram averaging, is a powerful
technique uniquely poised to address questions in structural biology that are not amenable …

A survey on techniques for cooperative CPU-GPU computing

K Raju, NN Chiplunkar - Sustainable Computing: Informatics and Systems, 2018 - Elsevier
Abstract Graphical Processing Unit provides massive parallelism due to the presence of
hundreds of cores. Usage of GPUs for general purpose computation (GPGPU) has resulted …

A survey of the use of iterative reconstruction algorithms in electron microscopy

COS Sorzano, J Vargas, J Otón… - BioMed research …, 2017 - Wiley Online Library
One of the key steps in Electron Microscopy is the tomographic reconstruction of a three‐
dimensional (3D) map of the specimen being studied from a set of two‐dimensional (2D) …

An execution time and energy model for an energy-aware execution of a conjugate gradient method with CPU/GPU collaboration

J Lang, G Rünger - Journal of Parallel and Distributed Computing, 2014 - Elsevier
The parallel preconditioned conjugate gradient method (CGM) is used in many applications
of scientific computing and often has a critical impact on their performance and energy …

A new GPU bundle adjustment method for large-scale data

M Zheng, S Zhou, X **ong, J Zhu - … Engineering & Remote …, 2017 - ingentaconnect.com
We developed a fast and effective bundle adjustment method for large-scale datasets. The
preconditioned conjugate gradient (PCG) algorithm and GPU parallel computing technology …

A multiple sclerosis two-compartmental differential equation computational model 3D simulation using OpenCL

MÁM de Paula, GG Silva, GM Gazola… - Journal of …, 2025 - Elsevier
Expanding on our previous conference paper (de Paula et al., 2023), this work introduces a
novel two-compartmental 3D mathematical model based on differential equations to …