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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 - Zhaochen Zhang, Xu Zhang, Zhaoxiang Bao, Liang Wei, Chaohong Tan, Wanchun Dou, Guihai Chen, Chen Tian:
Courier: A Unified Communication Agent to Support Concurrent Flow Scheduling in Cluster Computing. 861-876
Volume 36, Number 6, June 2025
- Yuan Yao, Yujiao Hu, Yi Dang, Wei Tao, Kai Hu, Qiming Huang, Zhe Peng, Gang Yang, Xingshe Zhou:
Workload-Aware Performance Model Based Soft Preemptive Real-Time Scheduling for Neural Processing Units. 1058-1070 - Wei Gao, Zhuoyuan Ouyang, Peng Sun, Tianwei Zhang, Yonggang Wen:
IceFrog: A Layer-Elastic Scheduling System for Deep Learning Training in GPU Clusters. 1071-1086 - Wenting Wei, Huaxi Gu, Zhe Xiao, Yi Chen:
Energy Efficient and Multi-Resource Optimization for Virtual Machine Placement by Improving MOEA/D. 1087-1099 - Wenming Li, Zhihua Fan, Tianyu Liu, Zhen Wang, Haibin Wu, Meng Wu, Kunming Zhang, Yanhuan Liu, Ninghui Sun, Xiaochun Ye, Dongrui Fan:
DFU-E: A Dataflow Architecture for Edge DSP and AI Applications. 1100-1114 - Yifeng Tang, Huaman Zhou, Zhuoran Ji, Cho-Li Wang:
Cube-fx: Mapping Taylor Expansion Onto Matrix Multiplier-Accumulators of Huawei Ascend AI Processors. 1115-1129 - William Andrew Simon, Irem Boybat, Riselda Kodra, Elena Ferro, Gagandeep Singh, Mohammed Alser, Shubham Jain, Hsinyu Tsai, Geoffrey W. Burr, Onur Mutlu, Abu Sebastian:
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory. 1130-1145 - Wei Zhang, Yunlong Yu, Xiao Jiang, Nan Guan, Naijun Zhan, Lei Ju:
WCET Estimation for CNN Inference on FPGA SoC With Multi-DPU Engines. 1146-1160 - Haobin Tan, Yao Xiao, Amelie Chi Zhou, Kezhong Lu, Xuan Yang:
Distributed and Adaptive Partitioning for Large Graphs in Geo-Distributed Data Centers. 1161-1174 - Kumseok Jung, Julien Gascon-Samson, Sathish Gopalakrishnan, Karthik Pattabiraman:
OneOS: Distributed Operating System for the Edge-to-Cloud Continuum. 1175-1192 - Luca Colagrande, Luca Benini:
Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization. 1193-1205 - Somesh Singh, Bora Uçar:
Efficient Parallel Sparse Tensor Contraction. 1206-1219 - Guohua Xin, Guangquan Xu, Yao Zhang, Cheng Wen, Cen Zhang, Xiaofei Xie, Neal N. Xiong, Shaoying Liu, Pan Gao:
IRHunter: Universal Detection of Instruction Reordering Vulnerabilities for Enhanced Concurrency in Distributed and Parallel Systems. 1220-1236 - Thomas W. Pusztai, Stefan Nastic:
ChunkFunc: Dynamic SLO-Aware Configuration of Serverless Functions. 1237-1252 - Sahil Tyagi, Prateek Sharma:
OmniLearn: A Framework for Distributed Deep Learning Over Heterogeneous Clusters. 1253-1267 - Zhengyu Liao, Shiyou Qian, Zhonglong Zheng, Jian Cao, Guangtao Xue, Minglu Li:
$AWB^+$AWB+-$Tree$Tree: A Novel Width-Based Index Structure Supporting Hybrid Matching for Large-Scale Content-Based Pub/Sub Systems. 1268-1281 - Huazhong Lü, Kai Deng, Xiaomei Yang:
Symmetric Properties and Two Variants of Shuffle-Cubes. 1282-1293 - Xiangyu Kong, Yi Huang, Longlong Chen, Jianfeng Zhu, Liangwei Li, Xingchen Man, Mingyu Gao, Shaojun Wei, Leibo Liu:
Raccoon: Lightweight Support for Comprehensive Control Flows in Reconfigurable Spatial Architectures. 1294-1310 - Laleh Ghalami, Daniel Grosu:
Parallel Greedy Algorithms for Steiner Forest. 1311-1325 - Yuxia Cheng, Linfeng Xu, Tongkai Yang, Wei Wu, Zhiqiang Lin, Antong Yu, Wenzhi Chen:
Beehive: Decentralised High-Frequency Small Tasks Scheduling in Large Clusters. 1326-1337 - Xue Jiang, Hengfeng Wei, Yu Huang, Yuxing Chen, Anqun Pan:
A Generic Specification Framework for Weakly Consistent Replicated Data Types. 1338-1353
Volume 36, Number 7, July 2025
- Hui Dou, Mingjie He, Lei Zhang, Yiwen Zhang, Zibin Zheng:
CausalConf: Datasize-Aware Configuration Auto-Tuning for Recurring Big Data Processing Jobs via Adaptive Causal Structure Learning. 1354-1371 - Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Zhuoran Ji, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao, Franck Cappello:
FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression. 1372-1386 - Zhibo Xuan, Xin Sun, Xin You, Hailong Yang, Zhongzhi Luan, Yi Liu, Depei Qian:
Identifying Performance Inefficiencies of Parallel Program With Spatial and Temporal Trace Analysis. 1387-1400 - Yuan Meng, Mahesh A. Iyer, Viktor K. Prasanna:
An Acceleration Framework for Deep Reinforcement Learning Using Heterogeneous Systems. 1401-1415 - Qiang Wang, Zhicheng Li, Fucai Zhou, Jian Xu, Changsheng Zhang:
Publicly Verifiable Distributed Computation for MEC Setting. 1416-1430 - Yangjun Wu, Wanlu Cao, Jiacheng Zhao, Honghui Shang:
Fast and Scalable Neural Network Quantum States Method for Molecular Potential Energy Surfaces. 1431-1443 - Jiajian Zhang, Fangyu Wu, Hai Jiang, Qiufeng Wang, Genlang Chen, Guangliang Cheng, Eng Gee Lim, Keqin Li:
AlignMalloc: Warp-Aware Memory Rearrangement Aligned With UVM Prefetching for Large-Scale GPU Dynamic Allocations. 1444-1459 - Na Wang, Kaifa Zheng, Wen Zhou, Jianwei Liu, Lunzhi Deng, Junsong Fu:
A Lightweight and Fine-Grained Ciphertext Search Scheme for Big Data Assisted by Proxy Servers. 1460-1477 - Wanqi Yang, Pengfei Chen, Kai Liu, Huxing Zhang:
ZeroTracer: In-Band eBPF-Based Trace Generator With Zero Instrumentation for Microservice Systems. 1478-1494 - Qingcai Jiang, Zhenwei Cao, Junshi Chen, Xinming Qin, Wei Hu, Hong An, Jinlong Yang:
PWDFT-SW: Extending the Limit of Plane-Wave DFT Calculations to 16K Atoms on the New Sunway Supercomputer. 1495-1508 - Kechang Yang, Biao Hu, Mingguo Zhao:
Coordinating Computational Capacity for Adaptive Federated Learning in Heterogeneous Edge Computing Systems. 1509-1523 - Fangyu Zheng, Guang Fan, Wenxu Tang, Yixuan Song, Tian Zhou, Yuan Zhao, Jiankuo Dong, Jingqiang Lin, Shoumeng Yan, Jiwu Jing:
GIF-FHE: A Comprehensive Implementation and Evaluation of GPU-Accelerated FHE With Integer and Floating-Point Computing Power. 1524-1541 - Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
GraFetch: Accelerating Graph Applications Through Domain Specific Hierarchical Hybrid Prefetching. 1542-1559 - He Zhu, Mingyu Li, Haihang You:
RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications. 1560-1573 - Wenhao Lu, Zhiyuan Wang, Hefan Zhang, Shan Zhang, Hongbin Luo:
OpenSN: An Open Source Library for Emulating LEO Satellite Networks. 1574-1590 - Zijie Liu, Yi Cheng, Can Chen, Jun Hu, Rongguo Fu, Dengyin Zhang:
ISACPP: Interference-Aware Scheduling Approach for Deep Learning Training Workloads Based on Co-Location Performance Prediction. 1591-1607 - Mimi Qian, Lin Cui, Xiaoquan Zhang, Fung Po Tso, Yuhui Deng, Zhetao Li, Weijia Jia:
DisPLOY: Target-Constrained Distributed Deployment for Network Measurement Tasks on Data Plane. 1608-1619 - Stefan Popa, Vlad Petric, Mihai Ivanovici:
A Highly-Parallel and Scalable Hardware Accelerator for the NTest Othello Game Engine. 1620-1633 - Xuyang Liu, Zijian Zhang, Zhen Li, Hao Yin, Meng Li, Jiamou Liu, Mauro Conti, Liehuang Zhu:
ABSE: Adaptive Baseline Score-Based Election for Leader-Based BFT Systems. 1634-1650 - Xingguo Pang, Liu Liu, Yanze Zhang, Zhuofu Chen, Zhijun Ding, Dazhao Cheng, Xiaobo Zhou:
Featherlight Stateful WebAssembly for Serverless Inference Workflows. 1651-1665 - Guangyao Zhou, Yiqin Fu, Haocheng Lan, Yuanlun Xie, Wenhong Tian, Rajkumar Buyya, Jianhong Qian, Teng Su:
Cross-Search With Improved Multi-Dimensional Dichotomy-Based Joint Optimization for Distributed Parallel Training of DNN. 1680-1694 - Hao Wu, Shiyi Wang, Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Feng Yan, Ruichuan Chen, Yinlong Xu:
A Generic, High-Performance, Compression-Aware Framework for Data Parallel DNN Training. 1695-1712
Volume 36, Number 8, August 2025
- Mohamed Yassine Boukhari, Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Othmane Safsafi, Rishi Sharma:
Boosting Resource-Constrained Federated Learning Systems With Guessed Updates. 1666-1679 - Kohei Yoshida, Ryuichi Sakamoto, Kento Sato, Abhinav Bhatele, Hayato Yamaki, Hiroki Honda, Shinobu Miwa:
VAHRM: Variation-Aware Resource Management in Heterogeneous Supercomputing Systems. 1713-1727 - Yuhui Zhang, Hong Liao, Lutan Zhao, Yuncong Shao, Zhihong Tian, XiaoFeng Wang, Dan Meng, Rui Hou:
An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor. 1728-1743 - Rui Zhao, Kui Wang, Yun Li, Yuze Fan, Fei Gao, Zhenhai Gao:
Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections. 1744-1761 - Lin Qiu, Xing-Wei Wang, Bo Yi, Kaimin Zhang, Fei Gao, Min Huang, Yanpeng Qu:
Towards Efficiency and Decentralization: A Blockchain Assisted Distributed Fuzzy-Rough Feature Selection. 1762-1778 - Yuanming Zhang, Pinghui Wang, Kuankuan Cheng, Junzhou Zhao, Jing Tao, Jingxin Hai, Junlan Feng, Chao Deng, Xidian Wang:
Building Accurate and Interpretable Online Classifiers on Edge Devices. 1779-1796 - Yaning Yang, Xiaoqi Wang, Chengqing Li, Shaoliang Peng:
Parallel Acceleration of Genome Variation Detection on Multi-Zone Heterogeneous System. 1797-1809 - Weiyi Sun, Jianfeng Zhu, Mingyu Gao, Zhaoshi Li, Shaojun Wei, Leibo Liu:
SSS-DIMM: Removing Redundant Data Movement in Trusted DIMM-Based Near-Memory-Processing Kernel Offloading via Secure Space Sharing. 1810-1827
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