LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "cpu gpu" as a keyword



Dual buffer rotation four-stage pipeline for CPU–GPU cooperative computing

Sign Up to like & get
recommendations! Published in 2019 at "Soft Computing"

DOI: 10.1007/s00500-017-2795-0

Abstract: Accelerators such as GPUs have become popular general-purpose computing device in the field of high-performance computing. With the boosting ability of storage and computation, it is very important to solve the complex scientific and engineering… read more here.

Keywords: cpu gpu; gpu cooperative; pipeline; gpu ... See more keywords

Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU–GPU architectures

Sign Up to like & get
recommendations! Published in 2017 at "Cluster Computing"

DOI: 10.1007/s10586-017-0980-7

Abstract: Many bioinformatics applications that analyse large volumes of high-dimensional data comprise complex problems requiring metaheuristics approaches with different types of implicit parallelism. For example, although functional parallelism would be used to accelerate evolutionary algorithms, the… read more here.

Keywords: cpu gpu; high dimensional; multi objective; feature selection ... See more keywords

Digital blood in massively parallel CPU/GPU systems for the study of platelet transport

Sign Up to like & get
recommendations! Published in 2020 at "Interface Focus"

DOI: 10.1098/rsfs.2019.0116

Abstract: We propose a highly versatile computational framework for the simulation of cellular blood flow focusing on extreme performance without compromising accuracy or complexity. The tool couples the lattice Boltzmann solver Palabos for the simulation of… read more here.

Keywords: cpu gpu; digital blood; platelet transport; blood ... See more keywords
Photo from wikipedia

Optimized Real-Time MUSIC Algorithm With CPU-GPU Architecture

Sign Up to like & get
recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3070980

Abstract: Direction-of-arrival (DOA) estimation algorithm for uniform planar arrays has been applied in many fields. The multiple signal classification (MUSIC) algorithm has obvious advantage in high-resolution signal source estimation scenarios. However, the MUSIC algorithm has high… read more here.

Keywords: music algorithm; gpu architecture; music; cpu gpu ... See more keywords
Photo from wikipedia

Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA

Sign Up to like & get
recommendations! Published in 2021 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2021.3057845

Abstract: Computing the gradient of rigid body dynamics is a central operation in many state-of-the-art planning and control algorithms in robotics. Parallel computing platforms such as GPUs and FPGAs can offer performance gains for algorithms with… read more here.

Keywords: robotics; gpu fpga; robot dynamics; cpu gpu ... See more keywords

FDTD Modeling of Nonlocality in a Nanoantenna Accelerated by a CPU–GPU Heterogeneous Architecture and Subgridding Techniques

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Antennas and Propagation"

DOI: 10.1109/tap.2023.3340348

Abstract: Contrary to the local response approximation (LRA), the electromagnetic response of subnanometer particles and antennas is influenced by the nonlocal response arising from the free electron spill-out effect. A generalized nonlocal optical response (GNOR) has… read more here.

Keywords: cpu gpu; fdtd modeling; modeling nonlocality; response ... See more keywords

HyWin: Hybrid Wireless NoC with Sandboxed Sub-Networks for CPU/GPU Architectures

Sign Up to like & get
recommendations! Published in 2017 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2016.2643668

Abstract: Heterogeneous System Architectures (HSA) that integrate cores of different architectures (CPU, GPU, etc.) on single chip are gaining significance for many class of applications to achieve high performance. Networks-on-Chip (NoCs) in HSA are monopolized by… read more here.

Keywords: cpu gpu; sandboxed sub; sub networks; topology ... See more keywords

An Adaptive CPU-GPU Governing Framework for Mobile Games on big.LITTLE Architectures

Sign Up to like & get
recommendations! Published in 2021 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2020.3012987

Abstract: Games have been one of the most popular applications on smartphones. In order to meet the increasing computational complexity of mobile games, smartphones are now equipped with heterogeneous CPU multi-core architectures like big.LITTLE as well… read more here.

Keywords: cpu gpu; governing framework; mobile games; framework ... See more keywords

Gemini+: Enhancing Real-Time Video Analytics With Dual-Image FPGAs

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2025.3558464

Abstract: Real-time video analytics demand intensive computing resources, often exceeding device capabilities. Heterogeneous computing resources like CPU and GPU, usually work collaboratively to ensure real-time performance. GPU manages data-intensive computing, while CPU handles instruction-intensive tasks. However,… read more here.

Keywords: dual image; video; real time; cpu gpu ... See more keywords

CPU-GPU Cooperative QoS Optimization of Personalized Digital Healthcare Using Machine Learning and Swarm Intelligence.

Sign Up to like & get
recommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"

DOI: 10.1109/tcbb.2022.3207509

Abstract: In recent decades, the rapid advances in information technology have promoted a widespread deployment of medical cyber-physical systems (MCPS), especially in the area of digital healthcare. In digital healthcare, medical edge devices empowered by CPU-GPU (Graphics Processing… read more here.

Keywords: gpu cooperative; machine learning; digital healthcare; cpu gpu ... See more keywords

Optimizing the LINPACK Algorithm for Large-Scale PCIe-Based CPU-GPU Heterogeneous Systems

Sign Up to like & get
recommendations! Published in 2021 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2021.3067731

Abstract: There is a widening gap between GPU and other components (CPU, PCIe bus and communication network) in heterogeneous parallel system. The gap forces us to orchestrate cooperative execution among these components much more carefully than… read more here.

Keywords: algorithm large; cpu gpu; linpack; large scale ... See more keywords