Dual buffer rotation four-stage pipeline for CPU–GPU cooperative computing
Sign Up to like & getrecommendations! 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 & getrecommendations! 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 & getrecommendations! 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
Optimized Real-Time MUSIC Algorithm With CPU-GPU Architecture
Sign Up to like & getrecommendations! 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
Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA
Sign Up to like & getrecommendations! 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
HyWin: Hybrid Wireless NoC with Sandboxed Sub-Networks for CPU/GPU Architectures
Sign Up to like & getrecommendations! 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 & getrecommendations! 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
CPU-GPU Cooperative QoS Optimization of Personalized Digital Healthcare Using Machine Learning and Swarm Intelligence.
Sign Up to like & getrecommendations! 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 & getrecommendations! 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
Exploring Query Processing on CPU-GPU Integrated Edge Device
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3177811
Abstract: Huge amounts of data have been generated on edge devices every day, which requires efficient data analytics and management. However, due to the limited computing capacity of these edge devices, query processing at the edge… read more here.
Keywords: gpu integrated; edge; cpu gpu; query processing ... See more keywords
Heterogeneous Hadoop Cluster-Based Image Processing Workload Distribution Framework between CPU and GPU
Sign Up to like & getrecommendations! Published in 2023 at "Scientific Programming"
DOI: 10.1155/2023/1228614
Abstract: Due to the rapid development of image data and the necessity to analyze it to extract meaningful information, heterogeneous systems have gained prominence. One of the most critical aspects of distributed systems is load balancing.… read more here.
Keywords: workload distribution; cpu gpu; distribution; image processing ... See more keywords