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ORCIDIEEE Transactions on Parallel and Distributed Systems, Volume 36
Volume 36, Number 1, January 2025
- Junqiang Jiang
, Zhifang Sun, Ruiqi Lu, Li Pan, Zebo Peng:
Real Relative Encoding Genetic Algorithm for Workflow Scheduling in Heterogeneous Distributed Computing Systems. 1-14 - Sanaz Rabinia, Niloofar Didar, Marco Brocanelli, Daniel Grosu:
Algorithms for Data Sharing-Aware Task Allocation in Edge Computing Systems. 15-28 - Qiang He, Guobiao Zhang, Jiawei Wang, Ruikun Luo, Xiaohai Dai, Yuchong Hu, Feifei Chen, Hai Jin, Yun Yang:
EdgeHydra: Fault-Tolerant Edge Data Distribution Based on Erasure Coding. 29-42 - Jonatha Anselmi, Josu Doncel:
Balanced Splitting: A Framework for Achieving Zero-Wait in the Multiserver-Job Model. 43-54 - Ruikun Luo, Qiang He, Feifei Chen, Song Wu, Hai Jin, Yun Yang:
Ripple: Enabling Decentralized Data Deduplication at the Edge. 55-66 - Haoyu Liao, Tong-Yu Liu, Jianmei Guo, Bo Huang, Dingyu Yang, Jonathan Ding:
Retrospecting Available CPU Resources: SMT-Aware Scheduling to Prevent SLA Violations in Data Centers. 67-83 - Ruikun Luo, Qiang He, Mengxi Xu, Feifei Chen, Song Wu, Jing Yang, Yuan Gao, Hai Jin:
Edge Data Deduplication Under Uncertainties: A Robust Optimization Approach. 84-95 - Guillaume Raffin, Denis Trystram:
Dissecting the Software-Based Measurement of CPU Energy Consumption: A Comparative Analysis. 96-107
Volume 36, Number 2, February 2025
- Hariharan Devarajan, Gerd Heber, Kathryn M. Mohror:
H5Intent: Autotuning HDF5 With User Intent. 108-119 - Diletta Olliaro, Adityo Anggraito, Marco Ajmone Marsan, Simonetta Balsamo, Andrea Marin:
The Impact of Service Demand Variability on Data Center Performance. 120-132 - Shuai Lin, Rui Wang, Yongkun Li, Yinlong Xu, John C. S. Lui:
Two-Dimensional Balanced Partitioning and Efficient Caching for Distributed Graph Analysis. 133-149 - Zhi Ling, Xiaofeng Jiang, Xiaobin Tan, Huasen He, Shiyin Zhu, Jian Yang:
Joint Dynamic Data and Model Parallelism for Distributed Training of DNNs Over Heterogeneous Infrastructure. 150-167 - Diandian Gu, Yihao Zhao, Peng Sun, Xin Jin, Xuanzhe Liu:
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads. 168-184 - Pengwei Wang, Junye Qiao, Yuying Zhao, Zhijun Ding:
Cost-Effective and Low-Latency Data Placement in Edge Environment Based on PageRank-Inspired Regional Value. 185-196 - Xiaodong Dong, Lihai Nie, Zheli Liu, Yang Xiang:
Slark: A Performance Robust Decentralized Inter-Datacenter Deadline-Aware Coflows Scheduling Framework With Local Information. 197-211 - Jialiang Han, Yudong Han, Xiang Jing, Gang Huang, Yun Ma:
DegaFL: Decentralized Gradient Aggregation for Cross-Silo Federated Learning. 212-225 - Zhongyi Lin, Ning Sun, Pallab Bhattacharya, Xizhou Feng, Louis Feng, John D. Owens:
Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms. 226-238 - Zhangrong Qin, Xusheng Lu, Long Lv, Zhongxiang Tang, Binghai Wen:
An Efficient GPU Algorithm for Lattice Boltzmann Method on Sparse Complex Geometries. 239-252 - J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster:
Object Proxy Patterns for Accelerating Distributed Applications. 253-265 - Changyao Lin, Zhenming Chen, Ziyang Zhang, Jie Liu:
TOP: Task-Based Operator Parallelism for Asynchronous Deep Learning Inference on GPU. 266-281 - Jing Hou, Guang Chen, Ruiqi Zhang, Zhijun Li, Shangding Gu, Changjun Jiang:
Spreeze: High-Throughput Parallel Reinforcement Learning Framework. 282-292 - Guangyao Zhou, Wenhong Tian, Rajkumar Buyya, Kui Wu:
UMPIPE: Unequal Microbatches-Based Pipeline Parallelism for Deep Neural Network Training. 293-307 - Yuyang Jin, Haojie Wang, Xiongchao Tang, Zhenhua Guo, Yaqian Zhao, Torsten Hoefler, Tao Liu, Xu Liu, Jidong Zhai:
Leveraging Graph Analysis to Pinpoint Root Causes of Scalability Issues for Parallel Applications. 308-325 - Giacomo Valente, Gianluca Brilli, Tania Di Mascio, Alessandro Capotondi, Paolo Burgio, Paolo Valente, Andrea Marongiu:
Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-Based Heterogeneous SoCs. 326-340 - Cristóbal A. Navarro, Felipe A. Quezada, Enzo Meneses, Héctor Ferrada, Nancy Hitschfeld:
CAT: Cellular Automata on Tensor Cores. 341-355
Volume 36, Number 3, March 2025
- Shuaibing Lu, Ran Yan, Jie Wu, Jackson Yang, Xinyu Deng, Shen Wu, Zhi Cai, Juan Fang:
Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing. 361-376 - Junyuan Liang, Peiyuan Yao, Wuhui Chen, Zicong Hong, Jianting Zhang, Ting Cai, Min Sun, Zibin Zheng:
Sparrow: Expediting Smart Contract Execution for Blockchain Sharding via Inter-Shard Caching. 377-390 - Jialun Li, Danyang Xiao, Diying Yang, Xuan Mo, Weigang Wu:
Integrated and Fungible Scheduling of Deep Learning Workloads Using Multi-Agent Reinforcement Learning. 391-406 - Saiman Dahal, Pratyush Dhingra, Krishu K. Thapa, Partha Pratim Pande, Ananth Kalyanaraman:
HpT: Hybrid Acceleration of Spatio-Temporal Attention Model Training on Heterogeneous Manycore Architectures. 407-421 - Yuhan Leng, Gaoyuan Zou, Hansheng Wang, Panruo Wu, Shaoshuai Zhang:
High Performance Householder QR Factorization on Emerging GPU Architectures Using Tensor Cores. 422-436 - Lizhen Zhou, Zichuan Xu, Qiufen Xia, Zhou Xu, Wenhao Ren, Wenbo Qi, Jinjing Ma, Song Yan, Yuan Yang:
Chasing Common Knowledge: Joint Large Model Selection and Pulling in MEC With Parameter Sharing. 437-454 - Binqi Sun, Tomasz Kloda, Jiyang Chen, Cen Lu, Marco Caccamo:
Response Time Analysis and Optimal Priority Assignment for Global Non-Preemptive Fixed-Priority Rigid Gang Scheduling. 455-470 - Ziqu Yu, Jinyu Gu, Zijian Wu, Nian Liu, Jian Guo:
HTLL: Latency-Aware Scalable Blocking Mutex. 471-486 - Haining Yang, Dengguo Feng, Jing Qin:
Towards Efficient Verifiable Cloud Storage and Distribution for Large-Scale Data Streaming. 487-501 - Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna:
ViTeGNN: Towards Versatile Inference of Temporal Graph Neural Networks on FPGA. 502-519 - Wenhan Xu, Hui Ma, Rui Zhang, Jianhao Li:
$ \mathsf{GPABE} $GPABE: GPU-Based Parallelization Framework for Attribute-Based Encryption Schemes. 520-536
Volume 36, Number 4, April 2025
- Junhee Ryu, Dongeun Lee, Kang G. Shin, Kyungtae Kang:
Paralfetch: Fast Application Launch on Personal Computing/Communication Devices. 616-632 - Yi Chen, Qiang-Sheng Hua, Zixiao Hong, Lin Zhu, Hai Jin:
FHE4DMM: A Low-Latency Distributed Matrix Multiplication With Fully Homomorphic Encryption. 645-658 - Zhengjun Cao:
A Note on "AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems". 675-676 - Yan Zeng, Chengchuang Huang, Yipeng Mei, Lifu Zhang, Teng Su, Wei Ye, Wenqi Shi, Shengnan Wang:
EfficientMoE: Optimizing Mixture-of-Experts Model Training With Adaptive Load Balance. 677-688 - Luiz Gustavo Coutinho Xavier, Cristina Meinhardt, Odorico Machado Mendizabal:
Beelog: Online Log Compaction for Dependable Systems. 689-700
Volume 36, Number 5, May 2025
- Omer F. Rana, Josef Spillner, Stephen Leak, Gerald F. Lofstead II, Rafael Tolosana-Calasanz:
Guest Editorial:Special Section on SC22 Student Cluster Competition. 803 - Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler:
Productivity, Portability, Performance, and Reproducibility: Data-Centric Python. 804-820 - Fu-Chiang Chang, En-Ming Huang, Pin-Yi Kuo, Chan-Yu Mou, Hsu-Tzu Ting, Pang-Ning Wu, Jerry Chou:
Reproducing Performance of Data-Centric Python by SCC Team From National Tsing Hua University. 821-825 - Zihan Yang, Yi Chen, Kaiqi Chen, Xingjian Qian, Shaojun Xu, Yun Pan, Chong Zeng, Jianhai Chen, Yin Zhang, Zeke Wang:
Critique of "Productivity, Portability, Performance: Data-Centric Python" by SCC Team From Zhejiang University. 826-829 - Han Huang, Tengyang Zheng, Tianxing Yang, Yang Ye, Siran Liu, Zhe Tang, Shengyou Lu, Guangnan Feng, Zhiguang Chen, Dan Huang:
Critique of "Productivity, Portability, Performance Data-Centric Python" by SCC Team From Sun Yat-sen University. 830-834 - Christopher Lompa, Piotr Luczynski:
Analysis and Reproducibility of "Productivity, Portability, Performance: Data-Centric Python". 835-840 - Anish Govind, Yuchen Jing, Stefanie Dao, Michael Granado, Rachel Handran, Davit Margarian, Matthew Mikhailov, Danny Vo, Matei-Alexandru Gardus, Khai Vu, Derek Bouius, Bryan Chin, Mahidhar Tatineni, Mary P. Thomas:
Reproducibility of the DaCe Framework on NPBench Benchmarks. 841-846 - Yuan Gao, Liquan Chen, Jianchang Lai, Tianyi Wang, Xiaoming Wu, Shui Yu:
IoT-Dedup: Device Relationship-Based IoT Data Deduplication Scheme. 847-860 - Conor John Williams, James Elliott:
Libfork: Portable Continuation-Stealing With Stackless Coroutines. 877-888 - Keyun Cheng, Huancheng Puyang, Xiaolu Li, Patrick P. C. Lee, Yuchong Hu, Jie Li, Ting-Yi Wu:
Toward Load-Balanced Redundancy Transitioning for Erasure-Coded Storage. 889-902 - Junhan Liu, Zinuo Cai, Yumou Liu, Hao Li, Zongpu Zhang, Ruhui Ma, Rajkumar Buyya:
SMore: Enhancing GPU Utilization in Deep Learning Clusters by Serverless-Based Co-Location Scheduling. 903-917 - Hyeonjin Kim, Taesoo Lim, William J. Song:
Graphite: Hardware-Aware GNN Reshaping for Acceleration With GPU Tensor Cores. 918-931 - S. M. Shovan, Arindam Khanda, Sajal K. Das:
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks. 932-944 - Xiangyu Zou, Wen Xia, Philip Shilane, Haijun Zhang, Xuan Wang:
The Design of a High-Performance Fine-Grained Deduplication Framework for Backup Storage. 945-960 - Qiange Wang, Xin Ai, Yongze Yan, Shufeng Gong, Yanfeng Zhang, Jing Chen, Ge Yu:
Towards Communication-Efficient Out-of-Core Graph Processing on the GPU. 961-976 - Huijing Yang, Juan Fang, Yumin Hou, Xing Su, Neal N. Xiong:
Reinforcement Learning-Driven Adaptive Prefetch Aggressiveness Control for Enhanced Performance in Parallel System Architectures. 977-993 - Zerui Shao, Beibei Li, Peiran Wang, Yi Zhang, Kim-Kwang Raymond Choo:
FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation. 994-1010 - Jingweijia Tan, Xurui Li, An Zhong, Kaige Yan, Xiaohui Wei, Guanpeng Li:
GEREM: Fast and Precise Error Resilience Assessment for GPU Microarchitectures. 1011-1024 - Jan Laukemann, Ahmed E. Helal, S. Isaac Geronimo Anderson, Fabio Checconi, Yongseok Soh, Jesmin Jahan Tithi, Teresa M. Ranadive, Brian J. Gravelle, Fabrizio Petrini, Jee W. Choi:
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation. 1025-1041 - Weihan Kong, Shengan Zheng, Yifan Hua, Ruoyan Ma, Yuheng Wen, Guifeng Wang, Cong Zhou, Linpeng Huang:
PimBeam: Efficient Regular Path Queries Over Graph Database Using Processing-in-Memory. 1042-1057
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