IEEE Transactions on Parallel and Distributed Systems

Article	Citations
A Scalable Multi-Layer PBFT Consensus for Blockchain	243
Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning	241
Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems	231
Kokkos 3: Programming Model Extensions for the Exascale Era	183
Online Collaborative Data Caching in Edge Computing	172
Biscotti: A Blockchain System for Private and Secure Federated Learning	163
Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning	161
Towards Fair and Privacy-Preserving Federated Deep Models	151
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing	148
Cost-Effective App Data Distribution in Edge Computing	132
Energy-Efficient Offloading for DNN-Based Smart IoT Systems in Cloud-Edge Environments	125
Recent Advances of Resource Allocation in Network Function Virtualization	124
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation	109
Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks	107
The Deep Learning Compiler: A Comprehensive Survey	102
Communication-Efficient Federated Learning With Compensated Overlap-FedAvg	101
Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm	99
Auditing Cache Data Integrity in the Edge Computing Environment	98
AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning	92
Modeling and Optimization of Performance and Cost of Serverless Applications	84
Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach	80
Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing	80
Distributed and Collective Deep Reinforcement Learning for Computation Offloading: A Practical Perspective	79
Offloading Tasks With Dependency and Service Caching in Mobile Edge Computing	77
CASpMV: A Customized and Accelerative SpMV Framework for the Sunway TaihuLight	75

Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm	74
A Potential Game Theoretic Approach to Computation Offloading Strategy Optimization in End-Edge-Cloud Computing	70
FRATO: Fog Resource Based Adaptive Task Offloading for Delay-Minimizing IoT Service Provisioning	70
Elastic Scheduling for Microservice Applications in Clouds	68
POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression	67
Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks	67
Energy-Aware Inference Offloading for DNN-Driven Applications in Mobile Edge Clouds	66
On Consortium Blockchain Consistency: A Queueing Network Model Approach	64
Blockchain at the Edge: Performance of Resource-Constrained IoT Networks	64
Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System	63
CSEdge: Enabling Collaborative Edge Storage for Multi-Access Edge Computing Based on Blockchain	62
COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments	61
VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems	61
Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity	60
Privacy-Preserving Multi-Keyword Searchable Encryption for Distributed Systems	60
Distributed Training of Deep Learning Models: A Taxonomic Perspective	58
Adaptive Resource Efficient Microservice Deployment in Cloud-Edge Continuum	57
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing	56
Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning	56
Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning	55
Performance and Cost-Efficient Spark Job Scheduling Based on Deep Reinforcement Learning in Cloud Computing Environments	55
Mechanisms for Resource Allocation and Pricing in Mobile Edge Computing Systems	54
IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems	50
e-PoS: Making Proof-of-Stake Decentralized and Fair	50
Joint Task Scheduling and Containerizing for Efficient Edge Computing	50
A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments	50
Transformations of High-Level Synthesis Codes for High-Performance Computing	49
FedGraph: Federated Graph Learning With Intelligent Sampling	48
DeepSlicing: Collaborative and Adaptive CNN Inference With Low Latency	47
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads	47
Elastic and Reliable Bandwidth Reservation Based on Distributed Traffic Monitoring and Control	46
Achieving High Performance on Supercomputers with a Sequential Task-based Programming Model	44
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems	44
Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems	44
Data, User and Power Allocations for Caching in Multi-Access Edge Computing	44
DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters	43
PQC Acceleration Using GPUs: FrodoKEM, NewHope, and Kyber	43
Online Learning for Distributed Computation Offloading in Wireless Powered Mobile Edge Computing Networks	42
Algorithm-Based Fault Tolerance for Convolutional Neural Networks	42
ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds	41
Adaptive and Efficient Resource Allocation in Cloud Datacenters Using Actor-Critic Deep Reinforcement Learning	41
Maximizing User Service Satisfaction for Delay-Sensitive IoT Applications in Edge Computing	41
Context-Aware Online Client Selection for Hierarchical Federated Learning	39
On the Effective Parallelization and Near-Optimal Deployment of Service Function Chains	39
Congestion-Balanced and Welfare-Maximized Charging Strategies for Electric Vehicles	38
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service	38
Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers	38
A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee	38
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds	37
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift	37

Distributed Adaptive Consensus Tracking Control for Multi-Agent System With Communication Constraints	37
Burst Load Evacuation Based on Dispatching and Scheduling In Distributed Edge Networks	37
Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing	37
Dependent Function Embedding for Distributed Serverless Edge Computing	36
Coordinated Batching and DVFS for DNN Inference on GPU Accelerators	35
Topology-Aware Neural Model for Highly Accurate QoS Prediction	35
Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters	35
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning	35
Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services	35
VPIC 2.0: Next Generation Particle-in-Cell Simulations	35
Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems	34
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud	34
GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication	34
Optimizing Depthwise Separable Convolution Operations on GPUs	33
An In-Depth Study of Microservice Call Graph and Runtime Performance	32
Completely Independent Spanning Trees on BCCC Data Center Networks With an Application to Fault-Tolerant Routing	32
Multi-GPU Design and Performance Evaluation of Homomorphic Encryption on GPU Clusters	31
GPU-Accelerated Real-Time Stereo Estimation With Binary Neural Network	31
LightChain: Scalable DHT-Based Blockchain	30
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading	30
Elastic Resource Allocation Against Imbalanced Transaction Assignments in Sharding-Based Permissioned Blockchains	30
GPGPU Performance Estimation With Core and Memory Frequency Scaling	30
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing	29
Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data	29
LOCUS: User-Perceived Delay-Aware Service Placement and User Allocation in MEC Environment	28
Differentially Private Byzantine-Robust Federated Learning	28
Constructing Completely Independent Spanning Trees in Data Center Network Based on Augmented Cube	28
Rusty: Runtime Interference-Aware Predictive Monitoring for Modern Multi-Tenant Systems	28
GPU Tensor Cores for Fast Arithmetic Reductions	27
BOSSA: A Decentralized System for Proofs of Data Retrievability and Replication	27
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware	27
Cooperative Edge Caching Based on Temporal Convolutional Networks	27
O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference	27
Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks	27
K-Athena: A Performance Portable Structured Grid Finite Volume Magnetohydrodynamics Code	27
Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation	27
Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing	26
Efficient Distributed Approaches to Core Maintenance on Large Dynamic Graphs	26
EdgeDR: An Online Mechanism Design for Demand Response in Edge Clouds	26
Joint SFC Deployment and Resource Management in Heterogeneous Edge for Latency Minimization	26
High-Performance Routing With Multipathing and Path Diversity in Ethernet and HPC Networks	25
Exploring Data Analytics Without Decompression on Embedded GPU Systems	24
An Efficient Parallel Secure Machine Learning Framework on GPUs	24
Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization	24
Elastic Deep Learning in Multi-Tenant GPU Clusters	24
Decentralized Application Placement in Fog Computing	24
Benzene: Scaling Blockchain With Cooperation-Based Sharding	23
Efficient Parallelism of Post-Quantum Signature Scheme SPHINCS	23
Monodirectional Evolutional Symport Tissue P Systems With Promoters and Cell Division	23
Auction-Based Cluster Federated Learning in Mobile Edge Computing Systems	23
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression	23
A Bifactor Approximation Algorithm for Cloudlet Placement in Edge Computing	23
Cost-Efficient Server Configuration and Placement for Mobile Edge Computing	22
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association	22
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models	22
Parallelization and Optimization of NSGA-II on Sunway TaihuLight System	22
Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution	22
Microservice Deployment in Edge Computing Based on Deep Q Learning	22
Privacy-Preserving Efficient Federated-Learning Model Debugging	22
Personalized Edge Intelligence via Federated Self-Knowledge Distillation	21
A Survey of System Architectures and Techniques for FPGA Virtualization	21
RENDA: Resource and Network Aware Data Placement Algorithm for Periodic Workloads in Cloud	21
COOPER-SCHED: A Cooperative Scheduling Framework for Mobile Edge Computing with Expected Deadline Guarantee	21
High-Quality Shared-Memory Graph Partitioning	21
Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs	20
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems	20
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training	20
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration	20
Parallel and Asynchronous Smart Contract Execution	20
A Practical and Efficient Bidirectional Access Control Scheme for Cloud-Edge Data Sharing	20
Anomaly Detection and Anticipation in High Performance Computing Systems	20
Design and Performance Characterization of RADICAL-Pilot on Leadership-Class Platforms	20
Scalable, Multi-Constraint, Complex-Objective Graph Partitioning	20
Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing	20
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning	19
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid	19
A Runtime and Non-Intrusive Approach to Optimize EDP by Tuning Threads and CPU Frequency for OpenMP Applications	19
Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC	19
Hamiltonian Paths of -cubes Avoiding Faulty Links and Passing Through Prescribed Linear Forests	19
Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms	19

Eiffel: Efficient and Fair Scheduling in Adaptive Federated Learning	19
HiTDL: High-Throughput Deep Learning Inference at the Hybrid Mobile Edge	19
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression	19
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments	18
Trust: Triangle Counting Reloaded on GPUs	18
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud	18
Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment	18
cuNH: Efficient GPU Implementations of Post-Quantum KEM NewHope	18
Co-Active: A Workload-Aware Collaborative Cache Management Scheme for NVMe SSDs	18
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors	18
Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment	18
Scheduling Periodical Multi-Stage Jobs With Fuzziness to Elastic Cloud Resources	18
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System	18
WindFlow: High-Speed Continuous Stream Processing With Parallel Building Blocks	17
Data-Centric Client Selection for Federated Learning Over Distributed Edge Networks	17
QShield: Protecting Outsourced Cloud Data Queries With Multi-User Access Control Based on SGX	17
Towards Usable Cloud Storage Auditing	17
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework	17
Cuttlefish: Neural Configuration Adaptation for Video Analysis in Live Augmented Reality	16
Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management	16
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems	16
NITI: Training Integer Neural Networks Using Integer-Only Arithmetic	16
HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing	16
Silent-PIM: Realizing the Processing-in-Memory Computing With Standard Memory Requests	16
TherMa-MiCs: Thermal-Aware Scheduling for Fault-Tolerant Mixed-Criticality Systems	16
Overlapping Communication With Computation in Parameter Server for Scalable DL Training	16
Reputation-aware Hedonic Coalition Formation for Efficient Serverless Hierarchical Federated Learning	16
Adaptive DRL-based Virtual Machine Consolidation in Energy-Efficient Cloud Data Center	16
Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems	16
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment	16
TDFL: Truth Discovery Based Byzantine Robust Federated Learning	16
Incentive-Aware Autonomous Client Participation in Federated Learning	15
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers	15
Collaborative Intrusion Detection System for SDVN: A Fairness Federated Deep Learning Approach	15
Achieving Fine-Grained Flow Management Through Hybrid Rule Placement in SDNs	15
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations	15
funcX: Federated Function as a Service for Science	15
Octans: Optimal Placement of Service Function Chains in Many-Core Systems	15
Reliability and Confidentiality Co-Verification for Parallel Applications in Distributed Systems	15
PISTIS: An Event-Triggered Real-Time Byzantine-Resilient Protocol Suite	15
A Pessimistic Fault Diagnosability of Large-Scale Connected Networks via Extra Connectivity	15
Efficient Forwarding Anomaly Detection in Software-Defined Networks	15
CAMIG: Concurrency-Aware Live Migration Management of Multiple Virtual Machines in SDN-Enabled Clouds	15
High Performance Simulation of Spiking Neural Network on GPGPUs	15
Learning-Driven Interference-Aware Workload Parallelization for Streaming Applications in Heterogeneous Cluster	15
Resilient Real-Valued Consensus in Spite of Mobile Malicious Agents on Directed Graphs	15
GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning	15
CoopEdge+: Enabling Decentralized, Secure and Cooperative Multi-Access Edge Computing Based on Blockchain	15
Dynamic Load Balancing in Parallel Execution of Cellular Automata	15
Fine-Grained Multi-Query Stream Processing on Integrated Architectures	15
Online Pricing and Trading of Private Data in Correlated Queries	15
Performant, Multi-Objective Scheduling of Highly Interleaved Task Graphs on Heterogeneous System on Chip Devices	15
Millimeter-Scale and Billion-Atom Reactive Force Field Simulation on Sunway Taihulight	14
Addictive Incentive Mechanism in Crowdsensing From the Perspective of Behavioral Economics	14
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism	14
Decentralized Dual Proximal Gradient Algorithms for Non-Smooth Constrained Composite Optimization Problems	14
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation	14
Collaborative Heterogeneity-Aware OS Scheduler for Asymmetric Multicore Processors	14
iMLBench: A Machine Learning Benchmark Suite for CPU-GPU Integrated Architectures	14
Intermittent Fault Diagnosis of Split-Star Networks and its Applications	14
DTransE: Distributed Translating Embedding for Knowledge Graph	14
E2bird: Enhanced Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services	14
TridentKV: A Read-Optimized LSM-Tree Based KV Store via Adaptive Indexing and Space-Efficient Partitioning	14
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs	14
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism	14
Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer	14
A Generic Stochastic Model for Resource Availability in Fog Computing Environments	14
Fairness-Aware VNF Sharing and Rate Coordination for High Efficient Service Scheduling	14
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration	13
Adaptive Vertical Federated Learning on Unbalanced Features	13
Federated Learning With Nesterov Accelerated Gradient	13
Improving the Performance of Deduplication-Based Storage Cache via Content-Driven Cache Management Methods	13
LightFed: An Efficient and Secure Federated Edge Learning System on Model Splitting	13
The PetscSF Scalable Communication Layer	13
A GPU Acceleration Framework for Motif and Discord Based Pattern Mining	13
Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis	13
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning	13
Accelerating Restarted GMRES With Mixed Precision Arithmetic	13
Accelerating the Bron-Kerbosch Algorithm for Maximal Clique Enumeration Using GPUs	13
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework	13
Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management	13
Phase-Aware Cache Partitioning to Target Both Turnaround Time and System Performance	13
Securing Deployed Smart Contracts and DeFi With Distributed TEE Cluster	13
Investigating the Adoption of Hybrid Encrypted Cloud Data Deduplication With Game Theory	13
ReHy: A ReRAM-based Digital/Analog Hybrid PIM Architecture for Accelerating CNN Training	13
ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge	13
Preemptive and Low Latency Datacenter Scheduling via Lightweight Containers	13
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems	13
A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures	13
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms	13
Energy-Efficient Hardware-Accelerated Synchronization for Shared-L1-Memory Multiprocessor Clusters	13
FenceKV: Enabling Efficient Range Query for Key-Value Separation	13
Look-up-Table Based Processing-in-Memory Architecture With Programmable Precision-Scaling for Deep Learning Applications	13
HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction	13
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication	13