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14 papers · ranked by Valyu relevance

01
PPubMed26 Nov 2021
Fast GPU-Based Generation of Large Graph Networks From Degree Distributions Alam and Perumalla GPU-Based Graph-Generation from Degree Distributions
Maksudul Alam, Kalyan Perumalla
Synthetically generated, large graph networks serve as useful proxies to real-world networks for many graph-based applications. The ability to generate such networks helps overcome several limitations of real-world networks regarding their number, availability, and access. Here, we present the design, implementation…
79relevance
02
PPubMed11 Jul 2025
Specx: a C++ task-based runtime system for heterogeneous distributed architectures
Paul Cardosi, Bérenger Bramas, Bilal Alatas
Parallelization is needed everywhere, from laptops and mobile phones to supercomputers. Among parallel programming models, task-based programming has demonstrated a powerful potential and is widely used in high-performance scientific computing. Not only does it allow efficient parallelization across distributed…
71relevance
03
PPubMed3 Jun 2024
Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations A novel FPGA-based approach for efficient plasma investigations
Abedalmuhdi Almomany, Muhammed Sutcu, Babul Salam K. S. M. Kader Ibrahim, Alexandre Bonatto
'Babul Salam K. S. M. Kader Ibrahim' 'Alexandre Bonatto'] Particle-in-cell (PIC) simulation serves as a widely employed method for investigating plasma, a prevalent state of matter in the universe. This simulation approach is instrumental in exploring characteristics such as particle acceleration by turbulence and…
68relevance
04
PPubMed16 Jan 2024
A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques
Sarita Simaiya, Umesh Kumar Lilhore, Yogesh Kumar Sharma, K. B. V. Brahma Rao + 4 more
'K. B. V. Brahma Rao' 'V. V. R. Maheswara Rao' 'Anupam Baliyan' 'Anchit Bijalwan' 'Roobaea Alroobaea'] Virtual machine (VM) integration methods have effectively proven an optimized load balancing in cloud data centers. The main challenge with VM integration methods is the trade-off among cost effectiveness, quality of…
67relevance
05
PPubMed17 Oct 2021
Locality-Based Cache Management and Warp Scheduling for Reducing Cache Contention in GPU
Juan Fang, Zelin Wei, Huijing Yang, Liang He
GPGPUs has gradually become a mainstream acceleration component in high-performance computing. The long latency of memory operations is the bottleneck of GPU performance. In the GPU, multiple threads are divided into one warp for scheduling and execution. The L1 data caches have little capacity, while multiple warps…
67relevance
06
PPubMed16 Sep 2022
Automated prioritizing heuristics for parallel task graph scheduling in heterogeneous computing
Clément Flint, Ludovic Paillat, Bérenger Bramas, Muhammad Aleem
High-performance computing (HPC) relies increasingly on heterogeneous hardware and especially on the combination of central and graphical processing units. The task-based method has demonstrated promising potential for parallelizing applications on such computing nodes. With this approach, the scheduling strategy…
66relevance
07
PPubMed24 Mar 2023
Scheduling Framework for Accelerating Multiple Detection-Free Object Trackers
Myungsun Kim, Inmo Kim, Jihyeon Yong, Hyuksoo Kim + 2 more
'Yuhang Li'] In detection-free tracking, after users freely designate the location of the object to be tracked in the first frame of the video sequence, the location of the object is continuously found in the following video frame sequence. Recently, technologies using a Siamese network and transformer based on DNN…
66relevance
08
PPubMed18 Mar 2025
DE-RALBA: dynamic enhanced resource aware load balancing algorithm for cloud computing
Altaf Hussain, Muhammad Aleem, Atiq Ur Rehman, Umer Arshad + 1 more
'Michele Pasqua'] Cloud computing provides an opportunity to gain access to the large-scale and high-speed resources without establishing your own computing infrastructure for executing the high-performance computing (HPC) applications. Cloud has the computing resources (i.e., computation power, storage, operating…
64relevance
09
PPubMed3 Feb 2026
Performance evaluation of GPU-based parallel sorting algorithms Performance evaluation of GPU
Mohammed Alaa Ala’anzy, Nurdaulet Tolendi, Baizhan Baubek, Abdulmohsen Algarni + 1 more
Sorting can be approached in two main ways: sequentially and in parallel. In sequential sorting, data is processed in a single-threaded manner, which can be slow for large datasets. However, parallel sorting divides the task across multiple processing units, enabling faster results by processing data simultaneously.…
64relevance
10
PPubMed25 Jun 2026
Multiobjective dynamic resource allocation in cloud computing using Harris Hawk Optimization Algorithm (MDLB-HHO) Multiobjective dynamic resource allocation in cloud computing
Varun C. M, Anto Kumar R. P, Paulraj D, Priyanka P. S + 1 more
To increase cloud computing utilization and performance, efficient load balancing and resource distribution techniques are essential. Dynamic load balancing and resource allocation in cloud systems is necessary due to a number of reasons, but this is not an easy and straightforward task. The primary goal of dynamic…
64relevance
11
PPubMed9 Sep 2025
Smart load balancing in cloud computing: Integrating feature selection with advanced deep learning models Smart load balancing in cloud computing: Integrating feature selection with advanced deep learning models
Yousef Sanjalawe, Salam Fraihat, Salam Al-E’mari, Mosleh Abualhaj + 3 more
'Sharif Makhadmeh' 'Emran Alzubi' 'Davide La Torre'] The increasing dependence on cloud computing as a cornerstone of modern technological infrastructures has introduced significant challenges in resource management. Traditional load-balancing techniques often prove inadequate in addressing cloud environments’ dynamic…
63relevance
12
PPubMed29 Jan 2025
Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes
Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash + 5 more
'Tiansheng Yang' 'Rajkumar Singh Rathore' 'Lu Wang' 'Sabeen Tahir' 'Sheikh Tahir Bakhsh'] In general, edge computing networks are based on a distributed computing environment and hence, present some difficulties to obtain an appropriate load balancing, especially under dynamic workload and limited resources. The…
63relevance
13
PPubMed21 Aug 2025
An novel cloud task scheduling framework using hierarchical deep reinforcement learning for cloud computing An novel cloud task scheduling framework using hierarchical DRL for cloud computing
Delong Cui, Zhiping Peng, Kaibin Li, Qirui Li + 3 more
'Xiangwu Deng' 'Sameena Naaz'] With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this paper proposes a novel cloud task…
61relevance
14
PPubMed27 Jan 2026
gLeiden: accelerated community detection algorithms using directed and undirected graphs on GPUs
Beenish Gul, Maria Murach, Stefan Bekiranov, Kevin Skadron + 1 more
The GPU architecture is composed of a scalable array of Streaming Multiprocessors (SMs). Modern GPUs, for example, NVIDIA’s Ampere architecture, consists of 6912 CUDA cores (NVIDIA) sliced into 108 Streaming Processors. To parallelize Leiden on GPUs, all graph data arrays, including neighbors, community assignments…
56relevance

Results for GPU Workload Balancing

Fast GPU-Based Generation of Large Graph Networks From Degree Distributions Alam and Perumalla GPU-Based Graph-Generation from Degree Distributions

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations A novel FPGA-based approach for efficient plasma investigations

A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques

Locality-Based Cache Management and Warp Scheduling for Reducing Cache Contention in GPU

Automated prioritizing heuristics for parallel task graph scheduling in heterogeneous computing

Scheduling Framework for Accelerating Multiple Detection-Free Object Trackers

DE-RALBA: dynamic enhanced resource aware load balancing algorithm for cloud computing

Performance evaluation of GPU-based parallel sorting algorithms Performance evaluation of GPU

Multiobjective dynamic resource allocation in cloud computing using Harris Hawk Optimization Algorithm (MDLB-HHO) Multiobjective dynamic resource allocation in cloud computing

Smart load balancing in cloud computing: Integrating feature selection with advanced deep learning models Smart load balancing in cloud computing: Integrating feature selection with advanced deep learning models

Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes

An novel cloud task scheduling framework using hierarchical deep reinforcement learning for cloud computing An novel cloud task scheduling framework using hierarchical DRL for cloud computing

gLeiden: accelerated community detection algorithms using directed and undirected graphs on GPUs

Fast GPU-Based Generation of Large Graph Networks From Degree Distributions Alam and Perumalla GPU-Based Graph-Generation from Degree Distributions

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations A novel FPGA-based approach for efficient plasma investigations

A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques

Locality-Based Cache Management and Warp Scheduling for Reducing Cache Contention in GPU

Automated prioritizing heuristics for parallel task graph scheduling in heterogeneous computing

Scheduling Framework for Accelerating Multiple Detection-Free Object Trackers

DE-RALBA: dynamic enhanced resource aware load balancing algorithm for cloud computing

Performance evaluation of GPU-based parallel sorting algorithms Performance evaluation of GPU

Multiobjective dynamic resource allocation in cloud computing using Harris Hawk Optimization Algorithm (MDLB-HHO) Multiobjective dynamic resource allocation in cloud computing

Smart load balancing in cloud computing: Integrating feature selection with advanced deep learning models Smart load balancing in cloud computing: Integrating feature selection with advanced deep learning models

Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes

An novel cloud task scheduling framework using hierarchical deep reinforcement learning for cloud computing An novel cloud task scheduling framework using hierarchical DRL for cloud computing

gLeiden: accelerated community detection algorithms using directed and undirected graphs on GPUs