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IEEE Transactions on Parallel and Distributed Systems, Volume 34
Volume 34, Number 1, January 2023
- Davide Frey
, Achour Mostéfaoui
Differentiated Consistency for Worldwide Gossips. 1-15 - Qingguo Lü
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks. 16-32 - Xu Jiang
Scheduling Parallel Real-Time Tasks on Virtual Processors. 33-47 - Xiaocan Li
Tripartite Graph Aided Tensor Completion For Sparse Network Measurement. 48-62 - Yanqing Chen
Swing: Providing Long-Range Lossless RDMA via PFC-Relay. 63-75 - Bin Yu
A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties. 76-91 - Mingyue Wang
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems. 92-107 - Sabrina De Capitani di Vimercati
Sentinels and Twins: Effective Integrity Assessment for Distributed Computation. 108-122 - Chen Wang
Near-Lossless MPI Tracing and Proxy Application Autogeneration. 123-140 - Xiaoyu Hao
swMPAS-A: Scaling MPAS-A to 39 Million Heterogeneous Cores on the New Generation Sunway Supercomputer. 141-153 - Tengfei Li
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
Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications. 180-194 - Kan Liu
A Novel Compute-Efficient Tridiagonal Solver for Many-Core Architectures. 195-206 - Nazmus Saquib
Replicated Versioned Data Structures for Wide-Area Distributed Systems. 207-224 - Hui Zhang
The High Faulty Tolerant Capability of the Alternating Group Graphs. 225-233 - Hailiang Zhao
Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds. 234-245 - Wei Sun
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors. 246-261 - Yudi Qiu
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats. 262-274 - Preyesh Dalmia
Improving the Scalability of GPU Synchronization Primitives. 275-290 - Eleonora D'Arnese
Faber: A Hardware/SoftWare Toolchain for Image Registration. 291-303 - Jiarui Fang
Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management. 304-315 - Pallav Kumar Deb
Loop-the-Loops: Fragmented Learning Over Networks for Constrained IoT Devices. 316-327 - Zichuan Xu
HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing. 328-345 - Shaojun Zhang
Robustness Analysis and Enhancement of Deep Reinforcement Learning-Based Schedulers. 346-357 - Wanchun Jiang
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
A Space-Efficient Fair Cache Scheme Based on Machine Learning for NVMe SSDs. 383-399 - Yu Huang
Improving the Efficiency of Deadlock Detection in MPI Programs Through Trace Compression. 400-415 - Sunil Kumar
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
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs. 431-445 - Sheng-Hao Chiang
Distributed Multicast Traffic Engineering for Multi-Domain Software-Defined Networks. 446-462 - Shuai Zhang
DRONE: An Efficient Distributed Subgraph-Centric Framework for Processing Large-Scale Power-law Graphs. 463-474 - Huan Zhou
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading. 475-488 - Xiaoli Wang
On the Design and Evaluation of an Optimal Security-and-Time Cognizant Data Placement for Dynamic Fog Environments. 489-500 - Mingyu Liu
RLTiering: A Cost-Driven Auto-Tiering System for Two-Tier Cloud Storage Using Deep Reinforcement Learning. 501-518 - Tian Xia
A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization. 519-534 - Ji Liu
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. 535-551 - Jianghong Wei
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems. 552-566 - Hai Jin
Personalized Edge Intelligence via Federated Self-Knowledge Distillation. 567-580 - Christie L. Alappat
Level-Based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication. 581-597 - Zhichao Lu
TFormer: A Transmission-Friendly ViT Model for IoT Devices. 598-610 - Marcin Rogowski
mpi4py.futures: MPI-Based Asynchronous Task Execution for Python. 611-622 - Ayesha Afzal
The Role of Idle Waves, Desynchronization, and Bottleneck Evasion in the Performance of Parallel Programs. 623-638 - Zhongteng Cai
Benzene: Scaling Blockchain With Cooperation-Based Sharding. 639-654 - Xiaocan Li
Neighbor Graph Based Tensor Recovery For Accurate Internet Anomaly Detection. 655-674 - Rituparna Saha
Data-Centric Client Selection for Federated Learning Over Distributed Edge Networks. 675-686 - Zhigang Wang
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning. 687-703 - Paula Olaya
Building Trust in Earth Science Findings through Data Traceability and Results Explainability. 704-717 - Sangeet Saha
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore. 718-733 - Tingfang Wu
Spiking Neural P Systems With Communication on Request and Mute Rules. 734-745 - Songlin He
Blockchain-Based P2P Content Delivery With Monetary Incentivization and Fairness Guarantee. 746-765
Volume 34, Number 3, March 2023
- Hang Cao
AGCM-3DLF: Accelerating Atmospheric General Circulation Model via 3-D Parallelization and Leap-Format. 766-780 - Haolin Liu
Revenue Maximizing Online Service Function Chain Deployment in Multi-Tier Computing Network. 781-796 - Wenjie Liu
Exploring Memory Access Similarity to Improve Irregular Application Performance for Distributed Hybrid Memory Systems. 797-809 - Rajesh Devaraj
Comments on "IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems". 810-811 - Fei Xu
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud. 812-827 - Zecheng Li
Securing Deployed Smart Contracts and DeFi With Distributed TEE Cluster. 828-842 - Yiwen Zhang
PetaKV: Building Efficient Key-Value Store for File System Metadata on Persistent Memory. 843-855 - Alessandro Staffolani
RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues. 856-868 - Giorgio Audrito
FCPP+Miosix: Scaling Aggregate Programming to Embedded Systems. 869-880 - Xiaohui Duan
Bio-ESMD: A Data Centric Implementation for Large-Scale Biological System Simulation on Sunway TaihuLight Supercomputer. 881-893 - Liang Yuan
CoopEdge+: Enabling Decentralized, Secure and Cooperative Multi-Access Edge Computing Based on Blockchain. 894-908 - Zhenheng Tang
GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication. 909-922 - Haoyu Jin, Donglei Wu
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. 923-937 - Ziheng Wang
Efficient GPU Implementations of Post-Quantum Signature XMSS. 938-954 - YuAng Chen
An Unequal Caching Strategy for Shared-Memory Graph Analytics. 955-967 - Andrea Detti
$\mu$μBench: An Open-Source Factory of Benchmark Microservice Applications. 968-980 - Qiang-Sheng Hua
Revisiting Core Maintenance for Dynamic Hypergraphs. 981-994 - Patrik Omland
HPC Hardware Design Reliability Benchmarking With HDFIT. 995-1006 - Yu Zhang
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. 1007-1019 - Haiying Shen
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
Towards Correlated Data Trading for High-Dimensional Private Data. 1047-1059
Volume 34, Number 4, April 2023
- Florian Van Daalen
Privacy Preserving $n$n-Party Scalar Product Protocol. 1060-1066 - Zhiwei Wang
HE-Booster: An Efficient Polynomial Arithmetic Acceleration on GPUs for Fully Homomorphic Encryption. 1067-1081 - Yu Yao
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System. 1082-1099 - Sourabh Kulkarni
Improving Effectiveness of Simulation-Based Inference in the Massively Parallel Regime. 1100-1114 - Manish Kumar
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement. 1115-1127 - Stefan Bora, Brenton D. Walker
The Tiny-Tasks Granularity Trade-Off: Balancing Overhead Versus Performance in Parallel Systems. 1128-1144 - Renhao Lu
Auction-Based Cluster Federated Learning in Mobile Edge Computing Systems. 1145-1158 - Runze Lei
Federated Learning Over Coupled Graphs. 1159-1172 - Xiaoxin Su
On Model Transmission Strategies in Federated Learning With Lossy Communications. 1173-1185 - Nan He
Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing. 1186-1201 - Jie Xue, Liwen Ren, Bosheng Song
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
Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators. 1227-1240 - Kristof Jannes
BeauForT: Robust Byzantine Fault Tolerance for Client-Centric Mobile Web Applications. 1241-1252 - Jiankang Song, Limei Lin
Intermittent Fault Diagnosis of Split-Star Networks and its Applications. 1253-1264 - Weibei Fan
Node Essentiality Assessment and Distributed Collaborative Virtual Network Embedding in Datacenters. 1265-1280 - Shiwei Zhang
Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment. 1281-1293 - Ke Cheng
ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge. 1294-1312 - Deepika Saxena
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud. 1313-1330 - Yeting Guo
Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning. 1331-1342 - Shuo Qin
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System. 1343-1361 - Yahui Li
A General Approach to Generate Test Packets With Network Configurations. 1362-1375
Volume 34, Number 5, May 2023
- Tim Shaffer
Landlord: Coordinating Dynamic Software Environments to Reduce Container Sprawl. 1376-1389 - Zhaohua Wang
Large-Scale Measurements and Prediction of DC-WAN Traffic. 1390-1405 - Yu Zhou, Yanli Ren
An Improved NSGA-III Algorithm Based on Deep Q-Networks for Cloud Storage Optimization of Blockchain. 1406-1419 - Ruikun Luo
Enabling Balanced Data Deduplication in Mobile Edge Computing. 1420-1431 - Fanxin Li
Fold3D: Rethinking and Parallelizing Computational and Communicational Tasks in the Training of Large DNN Models. 1432-1449 - An Zou
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks With Fine-Grain Utilization. 1450-1465 - Zhiquan Lai
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models. 1466-1478 - Hyeonjin Kim
LAS: Locality-Aware Scheduling for GEMM-Accelerated Convolutions in GPUs. 1479-1494 - Yang Liu
Cloud Configuration Optimization for Recurring Batch-Processing Applications. 1495-1507 - Gongming Zhao
Alleviating the Impact of Abnormal Events Through Multi-Constrained VM Placement. 1508-1523 - Kim Liegeois
Performance Portable Batched Sparse Linear Solvers. 1524-1535 - Zhilin Wang
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning. 1536-1547 - Feijie Wu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. 1548-1559 - Qiong Wu
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association. 1560-1579 - Andreas Thune
Detailed Modeling of Heterogeneous and Contention-Constrained Point-to-Point MPI Communication. 1580-1593 - Muhammad Aditya Sasongko
Precise Event Sampling on AMD Versus Intel: Quantitative and Qualitative Comparison. 1594-1608 - Guillermo G. Trabes
A Parallel Algorithm to Accelerate DEVS Simulations in Shared Memory Architectures. 1609-1620 - Philippos Papaphilippou
Experimental Survey of FPGA-Based Monolithic Switches and a Novel Queue Balancer. 1621-1634 - Xin Li, Junsong Zhou, Xin Wei
Topology-Aware Scheduling Framework for Microservice Applications in Cloud. 1635-1649 - Qingyang Duan, Chao Peng, Zeqin Wang, Yuedong Xu
Accelerating Distributed DNN Training via Transport Layer Scheduling. 1650-1666 - Shaowei Wang
Shuffle Differential Private Data Aggregation for Random Population. 1667-1681 - Danushka Menikkumbura
Congestion Control for Datacenter Networks: A Control-Theoretic Approach. 1682-1696
Volume 34, Number 6, June 2023
- Le Mai Weakley, Tim Robinson:
Guest Editorial Reproducibility Initiative at the SC Conference Series: A Preface to the Special Section. 1697-1698 - Ankit Srivastava
A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery. 1699-1715 - Guancheng Li
Critique of "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From ShanghaiTech University. 1716-1719 - Jiaqi Si
Critique of "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From Peking University. 1720-1722 - Juncheng Cao
Critique of "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From Tsinghua University. 1723-1726 - Arunav Gupta
Critique of: "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From UC San Diego. 1727-1730 - Se-Young Yu
AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF. 1731-1742 - Zhuan Liu
Exploring Fine-Grained In-Memory Database Performance for Modern CPUs. 1757-1772 - Zhaolong Jian
TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment. 1773-1788 - N. Jagan Mohan
DRFL: Federated Learning in Diabetic Retinopathy Grading Using Fundus Images. 1789-1801 - Hongbin Zhuang
An Efficient Algorithm for Hamiltonian Path Embedding of $k$k-Ary $n$n-Cubes Under the Partitioned Edge Fault Model. 1802-1815 - Chuan Luo
RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection. 1830-1847 - Jin Wang
Federated Ensemble Model-Based Reinforcement Learning in Edge Computing. 1848-1859 - Maciej Besta
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems. 1860-1876 - Zahra Najafabadi Samani
Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog. 1877-1896 - Saeid Alirezazadeh
Static Algorithm Allocation With Duplication in Robotic Network Cloud Systems. 1897-1908 - Jie Xu
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication. 1909-1922 - Qian Chen
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation. 1923-1941 - Wentai Wu
FedProf: Selective Federated Learning Based on Distributional Representation Profiling. 1942-1953 - Shiyang Li
Liberator: A Data Reuse Framework for Out-of-Memory Graph Computing on GPUs. 1954-1967 - Wenchao Wu
TurboMGNN: Improving Concurrent GNN Training Tasks on GPU With Fine-Grained Kernel Fusion. 1968-1981 - Zining Zhang
NIOT: A Novel Inference Optimization of Transformers on Modern CPUs. 1982-1995 - Shruti Shivakumar
Sparse Symmetric Format for Tucker Decomposition. 1743-1756 - Chi Zhang
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms. 1816-1829
Volume 34, Number 7, July 2023
- Lei Xu
Redesigning OpenKMC for Multi-Component Trillion-Atom Simulations on the New Sunway Supercomputer. 1997-2010 - Pierre Balty
FLUPS - A Flexible and Performant Massively Parallel Fourier Transform Library. 2011-2024 - Andrea Fresa
Offloading Algorithms for Maximizing Inference Accuracy on Edge Device in an Edge Intelligence System. 2025-2039 - Wenqi Wei
Securing Distributed SGD Against Gradient Leakage Threats. 2040-2054 - Rui-Xiao Zhang
Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live Streaming. 2055-2071 - Hui Sun
A Proactive On-Demand Content Placement Strategy in Edge Intelligent Gateways. 2072-2090 - Chunyang Wang
CD-MSA: Cooperative and Deadline-Aware Scheduling for Efficient Multi-Tenancy on DNN Accelerators. 2091-2106 - Jason Kennedy
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems. 2107-2123 - Mingjun Dai
Distributed Encoding and Updating for SAZD Coded Distributed Training. 2124-2137 - Yuchen Li, Weifa Liang
Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing. 2138-2154 - Guangming Cui
EESaver: Saving Energy Dynamically for Green Multi-Access Edge Computing. 2155-2166 - Chengyu Sun
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems. 2167-2179 - Andrzej Jackowski
ObjDedup: High-Throughput Object Storage Layer for Backup Systems With Block-Level Deduplication. 2180-2197 - Jed Mills
Faster Federated Learning With Decaying Number of Local SGD Steps. 2198-2207 - Damian Borowiec
DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs. 2208-2220 - Jiazhi Jiang
Full-Stack Optimizing Transformer Inference on ARM Many-Core CPU. 2221-2235
Volume 34, Number 8, August 2023
- Tian Xie
Joint Caching and Routing in Cache Networks With Arbitrary Topology. 2237-2250 - Hai Zhou
Boosting Erasure-Coded Multi-Stripe Repair in Rack Architecture and Heterogeneous Clusters: Design and Analysis. 2251-2264 - Md. Arifuzzaman
Falcon: Fair and Efficient Online File Transfer Optimization. 2265-2278 - Chanho Park
NeuroSpector: Systematic Optimization of Dataflow Scheduling in DNN Accelerators. 2279-2294 - Ting Li
ESMO: Joint Frame Scheduling and Model Caching for Edge Video Analytics. 2295-2310 - Hongjing Huang
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. 2311-2324 - Chenle Yu
Taskgraph: A Low Contention OpenMP Tasking Framework. 2325-2336 - Chenyi Liu
Scalable Deep Reinforcement Learning-Based Online Routing for Multi-Type Service Requirements. 2337-2351 - Fujun He
Preventive Priority Setting Against Multiple Controller Failures in Software Defined Networks. 2352-2364 - Massimo Bernaschi
A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers. 2365-2376 - Peng Liang
A Survey on Auto-Parallelism of Large-Scale Deep Learning Training. 2377-2390 - Biao Hu
Energy-Minimized Scheduling of Intermittent Real-Time Tasks in a CPU-GPU Cloud Computing Platform. 2391-2402 - Zan Zong
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training. 2403-2418 - Haotian Wang
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration. 2419-2432 - Bo Li
eHotSnap: An Efficient and Hot Distributed Snapshots System for Virtual Machine Cluster. 2433-2447 - Heng Yu
Serpens: A High Performance FaaS Platform for Network Functions. 2448-2463 - Hailu Xu
Adaptive Fragment-Based Parallel State Recovery for Stream Processing Systems. 2464-2478 - Xinhan Wang
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-Agent Deep Reinforcement Learning Approach. 2479-2497
Volume 34, Number 9, September 2023
- Siling Yang
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators. 2498-2511 - Jie Cui
Collaborative Intrusion Detection System for SDVN: A Fairness Federated Deep Learning Approach. 2512-2528 - Peng Qu
ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters. 2529-2540 - Zhao Liu
An Efficient Hierarchical-Reduction Architecture for Aggregation in Route Travel Time Estimation. 2541-2552 - Zhenqian Chen
DeepBoot: Dynamic Scheduling System for Training and Inference Deep Learning Tasks in GPU Cluster. 2553-2567 - Xiaozhong Jin
Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump. 2568-2579 - Bingyi Zhang
GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference. 2580-2597 - Yanhong Wang
Accelerating Distributed GNN Training by Codes. 2598-2614
Volume 34, Number 10, October 2023
- Kenta Ishiguro
Revisiting VM-Agnostic KVM vCPU Scheduler for Mitigating Excessive vCPU Spinning. 2615-2628 - Zhengjie Yang
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks. 2629-2641 - Mingyang Song
FCDedup: A Two-Level Deduplication System for Encrypted Data in Fog Computing. 2642-2656 - Changwu Zhang
A Survey of Memory-Centric Energy Efficient Computer Architecture. 2657-2670 - Weiguo Zhu
A Low-Memory Community Detection Algorithm With Hybrid Sparse Structure and Structural Information for Large-Scale Networks. 2671-2683 - Nikolaos Tampouratzis
A Novel Integrated Simulation Framework for Cyber-Physical Systems Modelling. 2684-2698 - Yihua Hu
Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms. 2699-2717 - Xun Wang
Accelerating k-Shape Time Series Clustering Algorithm Using GPU. 2718-2734 - Lanlan Rui
SFC Orchestration Method for Edge Cloud and Central Cloud Collaboration: QoS and Energy Consumption Joint Optimization Combined With Reputation Assessment. 2735-2748 - Geyao Cheng
When Deduplication Meets Migration: An Efficient and Adaptive Strategy in Distributed Storage Systems. 2749-2766 - Huaipeng Zhang
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. 2767-2782 - Francieli Boito
IO-Sets: Simple and Efficient Approaches for I/O Bandwidth Management. 2783-2796 - Mingzhe Li
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration. 2797-2810 - Junxu Xia
The Doctrine of MEAN: Realizing Deduplication Storage at Unreliable Edge. 2811-2826 - Zhida Jiang
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning. 2827-2842
Volume 34, Number 11, November 2023
- Li Li
Adaptive Data Placement in Multi-Cloud Storage: A Non-Stationary Combinatorial Bandit Approach. 2843-2859 - Rongxin Han
Multi-SP Network Slicing Parallel Relieving Edge Network Conflict. 2860-2875 - Kaicheng Yang
SketchINT: Empowering INT With TowerSketch for Per-Flow Per-Switch Measurement. 2876-2894 - Yulong Wu
TDTA: Topology-Based Real-Time DAG Task Allocation on Identical Multiprocessor Platforms. 2895-2909 - Zhijie Yang
Back to Homogeneous Computing: A Tightly-Coupled Neuromorphic Processor With Neuromorphic ISA. 2910-2927 - Carlos Bilbao
Divide&Content: A Fair OS-Level Resource Manager for Contention Balancing on NUMA Multicores. 2928-2945 - Rong Gu
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms. 2946-2964 - Yilian Zhang
Automatic Multi-Parameter Performance Modeling of HPC Applications on a New Sunway Supercomputer. 2965-2977 - Yizhi Huang
UMA-MF: A Unified Multi-CPU/GPU Asynchronous Computing Framework for SGD-Based Matrix Factorization. 2978-2993 - Yi Hu
Joint Deployment and Request Routing for Microservice Call Graphs in Data Centers. 2994-3011
Volume 34, Number 12, December 2023
- Wanchun Jiang
Consistent Low Latency Scheduler for Distributed Key-Value Stores. 3012-3027 - Shuyu Pei
On-Line Network Traffic Anomaly Detection Based on Tensor Sketch. 3028-3045 - Hao Liu
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network. 3046-3058 - Longlong Chen
GEM: Ultra-Efficient Near-Memory Reconfigurable Acceleration for Read Mapping by Dividing and Predictive Scattering. 3059-3072 - Yihong Li
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm. 3073-3089 - Lei Yang
OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices. 3090-3103 - Vasilios I. Kelefouras
Design and Implementation of Deep Learning 2D Convolutions on Modern CPUs. 3104-3116 - Ping Gao
Redesign and Accelerate the AIREBO Bond-Order Potential on the New Sunway Supercomputer. 3117-3132 - Bosheng Liu
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs. 3133-3146 - Paul Scheffler
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra. 3147-3161 - Qingyang Zhang
Efficient Blockchain-Based Data Integrity Auditing for Multi-Copy in Decentralized Storage. 3162-3173 - Zhipeng Cheng
CHEESE: Distributed Clustering-Based Hybrid Federated Split Learning Over Edge Networks. 3174-3191 - Zhaorui Wu
HashCache: Accelerating Serverless Computing by Skipping Duplicated Function Execution. 3192-3206 - Yujia Zhai
FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs. 3207-3223 - Zhuoran Song
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information. 3224-3237 - Jialiang Ma
AutoRS: Environment-Dependent Real-Time Scheduling for End-to-End Autonomous Driving. 3238-3252 - Zhihua Fan
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation. 3253-3265 - Xiaofeng Lu
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning. 3266-3279 - Li'an Xie
CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework With Low Communication Overhead. 3280-3293 - Enda Yu
Communication Optimization Algorithms for Distributed Deep Learning Systems: A Survey. 3294-3308 - Lei Yang
Efficient Edge Data Management Framework for IIoT via Prediction-Based Data Reduction. 3309-3322
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