Computer Science - Distributed, Parallel, and Cluster Computing

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Distributed, Parallel, and Cluster Computing Understanding the JUPITER Benchmark Suite in HPC

A comprehensive tool for evaluating high-performance computing systems.

Andreas Herten, Sebastian Achilles, Damian Alvarez

7 hours ago ― 6 min read

Latest Articles

Distributed, Parallel, and Cluster Computing Navigating Consistency Levels in Distributed Systems

Learn about different consistency levels in distributed systems and their impact.

Guanzhou Hu, Andrea Arpaci-Dusseau, Remzi Arpaci-Dusseau

Jun 18, 2025 ― 5 min read

Machine Learning Layer-Adaptive Sparsified Model Aggregation: A Strong Defense Against Byzantine Attacks in Federated Learning

A new method enhances federated learning's security by combating Byzantine attacks effectively.

Jiahao Xu, Zikai Zhang, Rui Hu

Jun 18, 2025 ― 6 min read

Hardware Architecture Advancements in VLSI Design Partitioning Using GNNs

Exploring machine learning techniques for efficient VLSI design partitioning.

Muhammad Hadir Khan, Bugra Onal, Eren Dogan

Jun 18, 2025 ― 6 min read

Distributed, Parallel, and Cluster Computing New Approaches to Single-Machine Flowshop Scheduling

Introducing heuristic algorithms to improve job scheduling efficiency in flowshop problems.

Matthew Gradwohl, Guidio Sewa, Oke Blessing Oghojafor

Jun 18, 2025 ― 6 min read

Machine Learning Efficient Deep Learning on Mobile Devices

CARIn framework adapts deep learning models for optimal performance on mobile devices.

Ioannis Panopoulos, Stylianos I. Venieris, Iakovos S. Venieris

Jun 18, 2025 ― 6 min read

Machine Learning Introducing RoLoRA: A New Approach to Federated Fine-Tuning

RoLoRA enhances federated learning with robust fine-tuning and efficient communication.

Shuangyi Chen, Yue Ju, Hardik Dalal

Jun 18, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing Reducing Carbon Footprint in Serverless Computing

A new approach to serverless computing aims to lower carbon emissions effectively.

Yankai Jiang, Rohan Basu Roy, Baolin Li

Jun 17, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing Making Large Language Models Smaller

Learn how model compression improves efficiency of large language models.

Dong Liu

Jun 17, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing Performance Evaluation of a New Data Processing Algorithm

A comprehensive analysis of a new algorithm's efficiency and accuracy in data handling.

Victor Jarlow, Charalampos Stylianopoulos, Marina Papatriantafilou

Jun 17, 2025 ― 4 min read

Quantum Physics Integrating Quantum and High-Performance Computing

Combining quantum and classical computing to advance scientific research.

Thomas Beck, Alessandro Baroni, Ryan Bennink

Jun 17, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing Improving Task Scheduling in Edge Computing

A new method enhances task scheduling on edge servers using heuristic algorithms and Evolutionary Computing.

Wang Yatong, Pei Yuchen, Zhao Yuqi

Jun 17, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing GreenWhisk: A Sustainable Serverless Solution

GreenWhisk focuses on reducing carbon emissions in cloud computing.

Jayden Serenari, Sreekanth Sreekumar, Kaiwen Zhao

Jun 17, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing DiOMP: A New Approach to Distributed Programming

DiOMP combines PGAS and OpenMP for efficient distributed systems programming.

Baodi Shan, Mauricio Araya-Polo, Barbara Chapman

Jun 17, 2025 ― 6 min read

Distributed, Parallel, and Cluster Computing Improving Mobile Task Management Through Federated Learning

New approach uses federated learning to optimize mobile task offloading decisions.

Anwesha Mukherjee, Rajkumar Buyya

Jun 17, 2025 ― 6 min read

Distributed, Parallel, and Cluster Computing Advancements in Training Large Language Models

New compression techniques speed up training for large language models while maintaining accuracy.

Lang Xu, Quentin Anthony, Qinghua Zhou

Jun 16, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing Advancements in Cooperative Edge Learning Techniques

New methods improve machine learning efficiency in mobile environments.

Zhenxiao Zhang, Zhidong Gao, Yuanxiong Guo

Jun 15, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing New Models Estimate Energy Use in HPC Systems

Analyzing energy consumption in supercomputers for enhanced efficiency.

Luis G. León-Vega, Niccolò Tosato, Stefano Cozzini

Jun 15, 2025 ― 7 min read

Distributed, Parallel, and Cluster Computing Reinforcement Learning Enhances Cloud Load Balancing

AI-driven load balancing improves cloud performance and efficiency.

Kavish Chawla

Jun 15, 2025 ― 7 min read

Distributed, Parallel, and Cluster Computing Advancements in On-Device Large Language Models

A new approach for flexible mobile AI using on-device language models.

Wangsong Yin, Rongjie Yi, Daliang Xu

Jun 15, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing FedFT: A New Approach to Federated Learning Communication

Introducing FedFT, a method to improve communication in Federated Learning.

Chamath Palihawadana, Nirmalie Wiratunga, Anjana Wijekoon

Jun 15, 2025 ― 6 min read

Instrumentation and Methods for Astrophysics Advancing Fortran: Merging Coarray and CUDA

This article examines how Coarray and CUDA Fortran integration enhances computing performance.

James McKevitt, Eduard I. Vorobyov, Igor Kulikov

Jun 15, 2025 ― 7 min read

Distributed, Parallel, and Cluster Computing Teaching Parallel Programming Through DNA Sequence Alignment

An engaging assignment on DNA sequence alignment aids parallel programming education.

Arturo Gonzalez-Escribano, Diego García-Álvarez, Jesús Cámara

Jun 15, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing Ensuring Accurate Simulations with Input Verification

Learn how Model Input Verification safeguards simulation accuracy across various fields.

Rumyana Neykova, Derek Groen

Jun 15, 2025 ― 8 min read

Machine Learning Improving Collaborative Learning Through Two-Level Optimization

A new method enhances collaborative learning by optimizing client selection and personalized model training.

Diba Hashemi, Lie He, Martin Jaggi

Jun 14, 2025 ― 4 min read

Quantum Physics Advancements in Byzantine Agreement through Quantum Protocols

Exploring new protocols for secure consensus in decentralized networks using quantum technology.

Longcheng Li, Xiaoming Sun, Jiadong Zhu

Jun 14, 2025 ― 4 min read

Mathematical Software Advancements in Robotics Control with MPPI-Generic

A new library enhances MPPI algorithms for robotics applications.

Bogdan Vlahov, Jason Gibson, Manan Gandhi

Jun 14, 2025 ― 6 min read

Distributed, Parallel, and Cluster Computing Distributed CNN Training on Mobile Devices

A new method for training CNNs directly on mobile and edge devices.

Pranav Rama, Madison Threadgill, Andreas Gerstlauer

Jun 14, 2025 ― 9 min read

Distributed, Parallel, and Cluster Computing Enhancing Digital Twins with Efficient Workflows

Streamlining digital twins through reduced order models and high-performance computing.

S. Ares de Parga, J. R. Bravo, N. Sibuet

Jun 14, 2025 ― 5 min read

Machine Learning Improving Privacy in Federated Learning with FedMD-CG

A new method enhances privacy while ensuring strong model performance in Federated Learning.

Kangyang Luo, Shuai Wang, Xiang Li

Jun 14, 2025 ― 4 min read

Machine Learning Inf-MLLM: A New Approach to Multimodal Processing

Inf-MLLM enhances efficiency in handling complex data streams with limited resources.

Zhenyu Ning, Jieru Zhao, Qihao Jin

Jun 14, 2025 ― 5 min read

Machine Learning Advancing Medical Imaging with Federated Learning

Innovative synthetic data method improves medical imaging accuracy while protecting patient privacy.

Atrin Arya, Sana Ayromlou, Armin Saadat

Jun 13, 2025 ― 4 min read

Multiagent Systems Advancements in Collaborative Decentralized AI Systems

New strategies for agent collaboration enhance trust and efficiency in AI responses.

Vladyslav Larin, Ivan Nikitin, Alexander Firsov

Jun 13, 2025 ― 7 min read

Distributed, Parallel, and Cluster Computing Improving Blockchain with a New Consensus Model

A new method enhances blockchain's reliability and efficiency in decentralized networks.

Yibin Xu, Jianhua Shao, Tijs Slaats

Jun 13, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing Federated Learning and the Future of IoT

FedD2P offers a new way for IoT to train models without heavy resources.

S. Kawa Atapour, S. Jamal SeyedMohammadi, S. Mohammad Sheikholeslami

Jun 12, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing Assessing the Impact of ML on HPC Datacenters

Analyzing the performance of HPC datacenters with ML and traditional workloads.

Xiaoyu Chu, Daniel Hofstätter, Shashikant Ilager

Jun 12, 2025 ― 6 min read

Distributed, Parallel, and Cluster Computing Dynamic Model Selection in Federated Learning

A new approach to federated learning that improves accuracy and resource use.

Dixi Yao

Jun 12, 2025 ― 6 min read

Distributed, Parallel, and Cluster Computing Advancements in Bessel Function Calculations

New algorithms enhance the computation of modified Bessel functions for various applications.

Andreas Plesner, Hans Henrik Brandenborg Sørensen, Søren Hauberg

Jun 12, 2025 ― 5 min read

Distributed, Parallel, and Cluster Computing A New Way to Collaborate on Shared Data

Coordination-free Collaborative Replication streamlines group work without constant messaging.

Masato Takeichi

Jun 11, 2025 ― 5 min read

Machine Learning Leiden-Fusion: A New Approach to Graph Training

A method for better handling large networks in machine learning.

Yuhe Bai, Camelia Constantin, Hubert Naacke

Jun 11, 2025 ― 6 min read

Distributed, Parallel, and Cluster Computing Advancements in GPU-Centric Communication

Exploring the shift toward GPU-centered methods for better computing performance.

Didem Unat, Ilyas Turimbetov, Mohammed Kefah Taha Issa

Jun 11, 2025 ― 5 min read