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IEEE Transactions on Parallel and Distributed Systems, Volume 34
Volume 34, Number 1, January 2023
- Davide Frey, Achour Mostéfaoui, Matthieu Perrin, Pierre-Louis Roman, François Taïani:
Differentiated Consistency for Worldwide Gossips. 1-15 - Qingguo Lü, Xiaofeng Liao, Shaojiang Deng, Huaqing Li:
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks. 16-32 - Xu Jiang, Haochun Liang, Nan Guan, Yue Tang, Lei Qiao, Wang Yi:
Scheduling Parallel Real-Time Tasks on Virtual Processors. 33-47 - Xiaocan Li, Kun Xie, Xin Wang, Gaogang Xie, Kenli Li, Jiannong Cao, Dafang Zhang, Jigang Wen:
Tripartite Graph Aided Tensor Completion For Sparse Network Measurement. 48-62 - Yanqing Chen, Chen Tian, Jiaqing Dong, Song Feng, Xu Zhang, Chang Liu, Peiwen Yu, Nai Xia, Wanchun Dou, Guihai Chen:
Swing: Providing Long-Range Lossless RDMA via PFC-Relay. 63-75 - Bin Yu, Cong Tian, Xu Lu, Nan Zhang, Zhenhua Duan:
A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties. 76-91 - Mingyue Wang, Yinbin Miao, Yu Guo, Hejiao Huang, Cong Wang, Xiaohua Jia:
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems. 92-107 - Sabrina De Capitani di Vimercati, Sara Foresti, Sushil Jajodia, Stefano Paraboschi, Pierangela Samarati, Roberto Sassi:
Sentinels and Twins: Effective Integrity Assessment for Distributed Computation. 108-122 - Chen Wang, Yanfei Guo, Pavan Balaji, Marc Snir:
Near-Lossless MPI Tracing and Proxy Application Autogeneration. 123-140 - Xiaoyu Hao, Tao Fang, Junshi Chen, Jun Gu, Jiawang Feng, Hong An, Chun Zhao:
swMPAS-A: Scaling MPAS-A to 39 Million Heterogeneous Cores on the New Generation Sunway Supercomputer. 141-153 - Tengfei Li, Jianfeng Chu, Liang Hu:
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers. 154-162 - Young Sik Lee, Yong Wook Kim, Tae Hee Han:
MRCN: Throughput-Oriented Multicast Routing for Customized Network-on-Chips. 163-179 - Changyuan Lin, Nima Mahmoudi, Caixiang Fan, Hamzeh Khazaei:
Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications. 180-194 - Kan Liu, Wei Xue:
A Novel Compute-Efficient Tridiagonal Solver for Many-Core Architectures. 195-206 - Nazmus Saquib, Chandra Krintz, Rich Wolski:
Replicated Versioned Data Structures for Wide-Area Distributed Systems. 207-224 - Hui Zhang, Rong-Xia Hao, Xiao-Wen Qin, Cheng-Kuan Lin, Sun-Yuan Hsieh:
The High Faulty Tolerant Capability of the Alternating Group Graphs. 225-233 - Hailiang Zhao, Shuiguang Deng, Feiyi Chen, Jianwei Yin, Schahram Dustdar, Albert Y. Zomaya:
Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds. 234-245 - Wei Sun, Ang Li, Tong Geng, Sander Stuijk, Henk Corporaal:
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors. 246-261 - Yudi Qiu, Jie Jiao, Xiaoyang Zeng, Yibo Fan:
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats. 262-274 - Preyesh Dalmia, Rohan Mahapatra, Jeremy Intan, Dan Negrut, Matthew D. Sinclair:
Improving the Scalability of GPU Synchronization Primitives. 275-290 - Eleonora D'Arnese, Davide Conficconi, Emanuele Del Sozzo, Luigi Fusco, Donatella Sciuto, Marco Domenico Santambrogio:
Faber: A Hardware/SoftWare Toolchain for Image Registration. 291-303 - Jiarui Fang, Zilin Zhu, Shenggui Li, Hui Su, Yang Yu, Jie Zhou, Yang You:
Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management. 304-315 - Pallav Kumar Deb, Anandarup Mukherjee, Digvijay Singh, Sudip Misra:
Loop-the-Loops: Fragmented Learning Over Networks for Constrained IoT Devices. 316-327 - Zichuan Xu, Dapeng Zhao, Weifa Liang, Omer F. Rana, Pan Zhou, Mingchu Li, Wenzheng Xu, Hao Li, Qiufen Xia:
HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing. 328-345 - Shaojun Zhang, Chen Wang, Albert Y. Zomaya:
Robustness Analysis and Enhancement of Deep Reinforcement Learning-Based Schedulers. 346-357 - Wanchun Jiang, Yujia Qiu, Yucheng Chen, Fa Ji, HaiMing Xie, Xiangqian Zhou, Jialiang Chen, Jiawei Huang, Jianxin Wang, Yan Li:
Accelerated Information Dissemination for Replica Selection in Distributed Key-Value Store Systems. 358-371 - Roberto R. Osorio:
Floating Point Calculation of the Cube Function on FPGAs. 372-382 - Weiguang Liu, Jinhua Cui, Tiantian Li, Junwei Liu, Laurence T. Yang:
A Space-Efficient Fair Cache Scheme Based on Machine Learning for NVMe SSDs. 383-399 - Yu Huang, Tao Wang, Zihui Yin, Eric Mercer, Benjamin Ogles:
Improving the Efficiency of Deadlock Detection in MPI Programs Through Trace Compression. 400-415 - Sunil Kumar, Krishna Kumar Mohbey:
A Utility-Based Distributed Pattern Mining Algorithm With Reduced Shuffle Overhead. 416-428
Volume 34, Number 2, February 2023
- Manish Parashar:
Editorial. 429-430 - Tongfeng Weng, Xu Zhou, Kenli Li, Kian-Lee Tan, Keqin Li:
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs. 431-445 - Sheng-Hao Chiang, Chih-Hang Wang, De-Nian Yang, Wanjiun Liao, Wen-Tsuen Chen:
Distributed Multicast Traffic Engineering for Multi-Domain Software-Defined Networks. 446-462 - Shuai Zhang, Zite Jiang, Xingzhong Hou, Mingyu Li, Mengting Yuan, Haihang You:
DRONE: An Efficient Distributed Subgraph-Centric Framework for Processing Large-Scale Power-law Graphs. 463-474 - Huan Zhou, Mingze Li, Ning Wang, Geyong Min, Jie Wu:
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading. 475-488 - Xiaoli Wang, Bharadwaj Veeravalli, Jiaming Song, Honghu Liu:
On the Design and Evaluation of an Optimal Security-and-Time Cognizant Data Placement for Dynamic Fog Environments. 489-500 - Mingyu Liu, Li Pan, Shijun Liu:
RLTiering: A Cost-Driven Auto-Tiering System for Two-Tier Cloud Storage Using Deep Reinforcement Learning. 501-518 - Tian Xia, Gelin Fu, Chenyang Li, Zhongpei Luo, Lucheng Zhang, Ruiyang Chen, Wenzhe Zhao, Nanning Zheng, Pengju Ren:
A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization. 519-534 - Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. 535-551 - Jianghong Wei, Xiaofeng Chen, Jianfeng Wang, Xinyi Huang, Willy Susilo:
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems. 552-566 - Hai Jin, Dongshan Bai, Dezhong Yao, Yutong Dai, Lin Gu, Chen Yu, Lichao Sun:
Personalized Edge Intelligence via Federated Self-Knowledge Distillation. 567-580 - Christie L. Alappat, Georg Hager, Olaf Schenk, Gerhard Wellein:
Level-Based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication. 581-597 - Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang:
TFormer: A Transmission-Friendly ViT Model for IoT Devices. 598-610 - Marcin Rogowski, Samar Aseeri, David E. Keyes, Lisandro Dalcín:
mpi4py.futures: MPI-Based Asynchronous Task Execution for Python. 611-622 - Ayesha Afzal, Georg Hager, Gerhard Wellein:
The Role of Idle Waves, Desynchronization, and Bottleneck Evasion in the Performance of Parallel Programs. 623-638 - Zhongteng Cai, Junyuan Liang, Wuhui Chen, Zicong Hong, Hong-Ning Dai, Jianting Zhang, Zibin Zheng:
Benzene: Scaling Blockchain With Cooperation-Based Sharding. 639-654 - Xiaocan Li, Kun Xie, Xin Wang, Gaogang Xie, Kenli Li, Jiannong Cao, Dafang Zhang, Hongbo Jiang, Jigang Wen:
Neighbor Graph Based Tensor Recovery For Accurate Internet Anomaly Detection. 655-674 - Rituparna Saha, Sudip Misra, Aishwariya Chakraborty, Chandranath Chatterjee, Pallav Kumar Deb:
Data-Centric Client Selection for Federated Learning Over Distributed Edge Networks. 675-686 - Zhigang Wang, Yilei Tu, Ning Wang, Lixin Gao, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning. 687-703 - Paula Olaya, Dominic Kennedy, Ricardo M. Llamas, Leobardo Valera, Rodrigo Vargas, Jay F. Lofstead, Michela Taufer:
Building Trust in Earth Science Findings through Data Traceability and Results Explainability. 704-717 - Sangeet Saha, Shounak Chakraborty, Sukarn Agarwal, Rahul Gangopadhyay, Magnus Själander, Klaus D. McDonald-Maier:
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore. 718-733 - Tingfang Wu, Linqiang Pan:
Spiking Neural P Systems With Communication on Request and Mute Rules. 734-745 - Songlin He, Yuan Lu, Qiang Tang, Guiling Wang, Chase Qishi Wu:
Blockchain-Based P2P Content Delivery With Monetary Incentivization and Fairness Guarantee. 746-765
Volume 34, Number 3, March 2023
- Hang Cao, Liang Yuan, He Zhang, Yunquan Zhang, Baodong Wu, Kun Li, Shigang Li, Minghua Zhang, Pengqi Lu, Junmin Xiao:
AGCM-3DLF: Accelerating Atmospheric General Circulation Model via 3-D Parallelization and Leap-Format. 766-780 - Haolin Liu, Saiqin Long, Zhetao Li, Yu Fu, Yong Zuo, Xinglin Zhang:
Revenue Maximizing Online Service Function Chain Deployment in Multi-Tier Computing Network. 781-796 - Wenjie Liu, Xubin He, Qing Liu:
Exploring Memory Access Similarity to Improve Irregular Application Performance for Distributed Hybrid Memory Systems. 797-809 - Rajesh Devaraj, Arnab Sarkar:
Comments on "IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems". 810-811 - Fei Xu, Jianian Xu, Jiabin Chen, Li Chen, Ruitao Shang, Zhi Zhou, Fangming Liu:
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud. 812-827 - Zecheng Li, Bin Xiao, Songtao Guo, Yuanyuan Yang:
Securing Deployed Smart Contracts and DeFi With Distributed TEE Cluster. 828-842 - Yiwen Zhang, Jian Zhou, Xinhao Min, Song Ge, Jiguang Wan, Ting Yao, Daohui Wang:
PetaKV: Building Efficient Key-Value Store for File System Metadata on Persistent Memory. 843-855 - Alessandro Staffolani, Victor-Alexandru Darvariu, Paolo Bellavista, Mirco Musolesi:
RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues. 856-868 - Giorgio Audrito, Federico Terraneo, William Fornaciari:
FCPP+Miosix: Scaling Aggregate Programming to Embedded Systems. 869-880 - Xiaohui Duan, Qi Shao, Junben Weng, Bertil Schmidt, Lin Gan, Guohui Li, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang:
Bio-ESMD: A Data Centric Implementation for Large-Scale Biological System Simulation on Sunway TaihuLight Supercomputer. 881-893 - Liang Yuan, Qiang He, Siyu Tan, Bo Li, Jiangshan Yu, Feifei Chen, Yun Yang:
CoopEdge+: Enabling Decentralized, Secure and Cooperative Multi-Access Edge Computing Based on Blockchain. 894-908 - Zhenheng Tang, Shaohuai Shi, Bo Li, Xiaowen Chu:
GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication. 909-922 - Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia:
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. 923-937 - Ziheng Wang, Xiaoshe Dong, Heng Chen, Yan Kang:
Efficient GPU Implementations of Post-Quantum Signature XMSS. 938-954 - YuAng Chen, Yeh-Ching Chung:
An Unequal Caching Strategy for Shared-Memory Graph Analytics. 955-967 - Andrea Detti, Ludovico Funari, Luca Petrucci:
$\mu$μBench: An Open-Source Factory of Benchmark Microservice Applications. 968-980 - Qiang-Sheng Hua, Xiaohui Zhang, Hai Jin, Hong Huang:
Revisiting Core Maintenance for Dynamic Hypergraphs. 981-994 - Patrik Omland, Alessio Netti, Yang Peng, Andrea Baldovin, Michael Paulitsch, Gustavo Espinosa, Jorge Parra, Gereon Hinz, Alois C. Knoll:
HPC Hardware Design Reliability Benchmarking With HDFIT. 995-1006 - Yu Zhang, Duo Liu, Moming Duan, Li Li, Xianzhang Chen, Ao Ren, Yujuan Tan, Chengliang Wang:
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. 1007-1019 - Haiying Shen, Haoyu Wang, Jiechao Gao, Rajkumar Buyya:
An Instability-Resilient Renewable Energy Allocation System for a Cloud Datacenter. 1020-1034 - Zhonghui Mei:
Minimizing the Average Packet Access Time of the Application Layer for Buffered Instantly Decodable Network Coding. 1035-1046 - Hui Cai, Yuanyuan Yang, Weibei Fan, Fu Xiao, Yanmin Zhu:
Towards Correlated Data Trading for High-Dimensional Private Data. 1047-1059
Volume 34, Number 4, April 2023
- Florian Van Daalen, Lianne Ippel, Andre Dekker, Iñigo Bermejo:
Privacy Preserving $n$n-Party Scalar Product Protocol. 1060-1066 - Zhiwei Wang, Peinan Li, Rui Hou, Zhihao Li, Jiangfeng Cao, XiaoFeng Wang, Dan Meng:
HE-Booster: An Efficient Polynomial Arithmetic Acceleration on GPUs for Fully Homomorphic Encryption. 1067-1081 - Yu Yao, Yukun Song, Ying Huang, Wei Ni, Duoli Zhang:
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System. 1082-1099 - Sourabh Kulkarni, Csaba Andras Moritz:
Improving Effectiveness of Simulation-Based Inference in the Massively Parallel Regime. 1100-1114 - Manish Kumar, Anisur Rahaman Molla:
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement. 1115-1127 - Stefan Bora, Brenton D. Walker, Markus Fidler:
The Tiny-Tasks Granularity Trade-Off: Balancing Overhead Versus Performance in Parallel Systems. 1128-1144 - Renhao Lu, Weizhe Zhang, Yan Wang, Qiong Li, Xiaoxiong Zhong, Hongwei Yang, Desheng Wang:
Auction-Based Cluster Federated Learning in Mobile Edge Computing Systems. 1145-1158 - Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan:
Federated Learning Over Coupled Graphs. 1159-1172 - Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Jiangchuan Liu:
On Model Transmission Strategies in Federated Learning With Lossy Communications. 1173-1185 - Nan He, Song Yang, Fan Li, Stojan Trajanovski, Liehuang Zhu, Yu Wang, Xiaoming Fu:
Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing. 1186-1201 - Jie Xue, Liwen Ren, Bosheng Song, Yujie Guo, Jie Lu, Xiyu Liu, Guanzhong Gong, Dengwang Li:
Hypergraph-Based Numerical Neural-Like P Systems for Medical Image Segmentation. 1202-1214 - Laércio Lima Pilla:
Scheduling Algorithms for Federated Learning With Minimal Energy Consumption. 1215-1226 - Lennart Bamberg, Arash Pourtaherian, Luc Waeijen, Anupam Chahar, Orlando Moreira:
Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators. 1227-1240 - Kristof Jannes, Emad Heydari Beni, Bert Lagaisse, Wouter Joosen:
BeauForT: Robust Byzantine Fault Tolerance for Client-Centric Mobile Web Applications. 1241-1252 - Jiankang Song, Limei Lin, Yanze Huang, Sun-Yuan Hsieh:
Intermittent Fault Diagnosis of Split-Star Networks and its Applications. 1253-1264 - Weibei Fan, Fu Xiao, Mengjie Lv, Lei Han, Junchang Wang, Xin He:
Node Essentiality Assessment and Distributed Collaborative Virtual Network Embedding in Datacenters. 1265-1280 - Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin:
Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment. 1281-1293 - Ke Cheng, Sheng Zhang, Chenghong Tu, Xiaohang Shi, Zhaoheng Yin, Sanglu Lu, Yu Liang, Qing Gu:
ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge. 1294-1312 - Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh, Stefan Schmid:
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud. 1313-1330 - Yeting Guo, Fang Liu, Tongqing Zhou, Zhiping Cai, Nong Xiao:
Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning. 1331-1342 - Shuo Qin, Dechang Pi, Zhongshi Shao, Yue Xu, Yang Chen:
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System. 1343-1361 - Yahui Li, Han Zhang, Jilong Wang, Zhiliang Wang, Xia Yin, Xingang Shi, Jianping Wu:
A General Approach to Generate Test Packets With Network Configurations. 1362-1375
Volume 34, Number 5, May 2023
- Tim Shaffer, Thanh Son Phung, Kyle Chard, Douglas Thain:
Landlord: Coordinating Dynamic Software Environments to Reduce Container Sprawl. 1376-1389 - Zhaohua Wang, Zhenyu Li, Heng Pan, Guangming Liu, Yunfei Chen, Qinghua Wu, Gareth Tyson, Gang Cheng:
Large-Scale Measurements and Prediction of DC-WAN Traffic. 1390-1405 - Yu Zhou, Yanli Ren, Mengtian Xu, Guorui Feng:
An Improved NSGA-III Algorithm Based on Deep Q-Networks for Cloud Storage Optimization of Blockchain. 1406-1419 - Ruikun Luo, Hai Jin, Qiang He, Song Wu, Xiaoyu Xia:
Enabling Balanced Data Deduplication in Mobile Edge Computing. 1420-1431 - Fanxin Li, Shixiong Zhao, Yuhao Qing, Xusheng Chen, Xiuxian Guan, Sen Wang, Gong Zhang, Heming Cui:
Fold3D: Rethinking and Parallelizing Computational and Communicational Tasks in the Training of Large DNN Models. 1432-1449 - An Zou, Jing Li, Christopher D. Gill, Xuan Zhang:
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks With Fine-Grain Utilization. 1450-1465 - Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li:
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models. 1466-1478 - Hyeonjin Kim, William J. Song:
LAS: Locality-Aware Scheduling for GEMM-Accelerated Convolutions in GPUs. 1479-1494 - Yang Liu, Huanle Xu, Wing Cheong Lau:
Cloud Configuration Optimization for Recurring Batch-Processing Applications. 1495-1507 - Gongming Zhao, Jiawei Liu, Yutong Zhai, Hongli Xu, He Huang:
Alleviating the Impact of Abnormal Events Through Multi-Constrained VM Placement. 1508-1523 - Kim Liegeois, Sivasankaran Rajamanickam, Luc Berger-Vergiat:
Performance Portable Batched Sparse Linear Solvers. 1524-1535 - Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong:
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning. 1536-1547 - Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. 1548-1559 - Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang:
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association. 1560-1579 - Andreas Thune, Sven-Arne Reinemo, Tor Skeie, Xing Cai:
Detailed Modeling of Heterogeneous and Contention-Constrained Point-to-Point MPI Communication. 1580-1593