IEEE Transactions on Parallel and Distributed Systems

Article	Citations
Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning	191
Accelerating Federated Learning via Momentum Gradient Descent	190
A Scalable Multi-Layer PBFT Consensus for Blockchain	185
Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems	183
Online Collaborative Data Caching in Edge Computing	150
Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning	125
Kokkos 3: Programming Model Extensions for the Exascale Era	125
Towards Fair and Privacy-Preserving Federated Deep Models	124
Biscotti: A Blockchain System for Private and Secure Federated Learning	118
Cost-Effective App Data Distribution in Edge Computing	118
Energy-Efficient Offloading for DNN-Based Smart IoT Systems in Cloud-Edge Environments	103
GRP-HEFT: A Budget-Constrained Resource Provisioning Scheme for Workflow Scheduling in IaaS Clouds	102
Recent Advances of Resource Allocation in Network Function Virtualization	102
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing	99
Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning	97
Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks	87
Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm	86
The Deep Learning Compiler: A Comprehensive Survey	84
Auditing Cache Data Integrity in the Edge Computing Environment	83
Energy-Aware Application Placement in Mobile Edge Computing: A Stochastic Optimization Approach	80
Online Deadline-Aware Task Dispatching and Scheduling in Edge Computing	77
Communication-Efficient Federated Learning With Compensated Overlap-FedAvg	75
Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach	71
Modeling and Optimization of Performance and Cost of Serverless Applications	71
CASpMV: A Customized and Accelerative SpMV Framework for the Sunway TaihuLight	71

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation	69
Distributed and Collective Deep Reinforcement Learning for Computation Offloading: A Practical Perspective	67
AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning	63
Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing	62
POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression	61
FRATO: Fog Resource Based Adaptive Task Offloading for Delay-Minimizing IoT Service Provisioning	61
Elastic Scheduling for Microservice Applications in Clouds	60
Blockchain at the Edge: Performance of Resource-Constrained IoT Networks	59
Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks	58
Offloading Tasks With Dependency and Service Caching in Mobile Edge Computing	57
A Potential Game Theoretic Approach to Computation Offloading Strategy Optimization in End-Edge-Cloud Computing	55
CSEdge: Enabling Collaborative Edge Storage for Multi-Access Edge Computing Based on Blockchain	55
Reliability-Aware Network Service Provisioning in Mobile Edge-Cloud Networks	55
Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm	54
Efficient Algorithms for Delay-Aware NFV-Enabled Multicasting in Mobile Edge Clouds With Resource Sharing	53
COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments	52
Energy-Aware Inference Offloading for DNN-Driven Applications in Mobile Edge Clouds	52
Privacy-Preserving Multi-Keyword Searchable Encryption for Distributed Systems	52
On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation	50
On Consortium Blockchain Consistency: A Queueing Network Model Approach	49
Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning	48
Evaluation of Stream Processing Frameworks	46
Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity	46
VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems	46
Faster Parallel Core Maintenance Algorithms in Dynamic Graphs	46
Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System	45
Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning	45
Performance and Cost-Efficient Spark Job Scheduling Based on Deep Reinforcement Learning in Cloud Computing Environments	44
Achieving High Performance on Supercomputers with a Sequential Task-based Programming Model	44
Transformations of High-Level Synthesis Codes for High-Performance Computing	43
e-PoS: Making Proof-of-Stake Decentralized and Fair	43
Distributed Training of Deep Learning Models: A Taxonomic Perspective	43
Task Scheduling for Energy Consumption Constrained Parallel Applications on Heterogeneous Computing Systems	42
Elastic and Reliable Bandwidth Reservation Based on Distributed Traffic Monitoring and Control	42
Joint Task Scheduling and Containerizing for Efficient Edge Computing	42
The Design of Fast Content-Defined Chunking for Data Deduplication Based Storage Systems	41
Adaptive Resource Efficient Microservice Deployment in Cloud-Edge Continuum	41
IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems	41
Data, User and Power Allocations for Caching in Multi-Access Edge Computing	39
DeepSlicing: Collaborative and Adaptive CNN Inference With Low Latency	38
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing	38
Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT	37
A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments	37
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads	37
Heterogeneous Edge Offloading With Incomplete Information: A Minority Game Approach	36
ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds	35
Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment	35
Automated Fine-Grained CPU Cap Control in Serverless Computing Platform	34
Congestion-Balanced and Welfare-Maximized Charging Strategies for Electric Vehicles	34
DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters	34

Algorithm-Based Fault Tolerance for Convolutional Neural Networks	33
Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing	33
Burst Load Evacuation Based on Dispatching and Scheduling In Distributed Edge Networks	33
On the Effective Parallelization and Near-Optimal Deployment of Service Function Chains	33
Mechanisms for Resource Allocation and Pricing in Mobile Edge Computing Systems	33
VPIC 2.0: Next Generation Particle-in-Cell Simulations	32
PQC Acceleration Using GPUs: FrodoKEM, NewHope, and Kyber	32
FedGraph: Federated Graph Learning With Intelligent Sampling	32
Online Learning for Distributed Computation Offloading in Wireless Powered Mobile Edge Computing Networks	32
Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems	31
Customer Perceived Value- and Risk-Aware Multiserver Configuration for Profit Maximization	31
A Ubiquitous Machine Learning Accelerator With Automatic Parallelization on FPGA	29
Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers	29
GPU-Accelerated Real-Time Stereo Estimation With Binary Neural Network	29
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds	28
Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems	28
Distributed Adaptive Consensus Tracking Control for Multi-Agent System With Communication Constraints	28
Maximizing User Service Satisfaction for Delay-Sensitive IoT Applications in Edge Computing	28
Efficient Compute-Intensive Job Allocation in Data Centers via Deep Reinforcement Learning	28
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems	28
LightChain: Scalable DHT-Based Blockchain	27
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud	27
Constructing Completely Independent Spanning Trees in Data Center Network Based on Augmented Cube	27
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service	27
Optimizing Depthwise Separable Convolution Operations on GPUs	27
Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters	27
Adaptive and Efficient Resource Allocation in Cloud Datacenters Using Actor-Critic Deep Reinforcement Learning	26
Multi-GPU Design and Performance Evaluation of Homomorphic Encryption on GPU Clusters	26
T-Caching: Enhancing Feasibility of In-Network Caching in ICN	26
Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services	26
Dependent Function Embedding for Distributed Serverless Edge Computing	26
Minority Disk Failure Prediction Based on Transfer Learning in Large Data Centers of Heterogeneous Disk Systems	26
Quantum Supremacy Circuit Simulation on Sunway TaihuLight	26
Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core	26
O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference	26
An In-Depth Study of Microservice Call Graph and Runtime Performance	25
Towards Higher Performance and Robust Compilation for CGRA Modulo Scheduling	25
Reliability Aware Energy Optimized Scheduling of Non-Preemptive Periodic Real-Time Tasks on Heterogeneous Multiprocessor System	25
ERA-LSTM: An Efficient ReRAM-Based Architecture for Long Short-Term Memory	25
Rusty: Runtime Interference-Aware Predictive Monitoring for Modern Multi-Tenant Systems	25
A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee	25
Completely Independent Spanning Trees on BCCC Data Center Networks With an Application to Fault-Tolerant Routing	24
GPGPU Performance Estimation With Core and Memory Frequency Scaling	24
Topology-Aware Neural Model for Highly Accurate QoS Prediction	24
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware	24
Elastic Resource Allocation Against Imbalanced Transaction Assignments in Sharding-Based Permissioned Blockchains	23
Efficient Distributed Approaches to Core Maintenance on Large Dynamic Graphs	23
An Efficient Parallel Secure Machine Learning Framework on GPUs	22
Monodirectional Evolutional Symport Tissue P Systems With Promoters and Cell Division	22
EdgeDR: An Online Mechanism Design for Demand Response in Edge Clouds	22
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift	21
Joint SFC Deployment and Resource Management in Heterogeneous Edge for Latency Minimization	21
Cooperative Edge Caching Based on Temporal Convolutional Networks	21
High-Performance Routing With Multipathing and Path Diversity in Ethernet and HPC Networks	21
Coordinated Batching and DVFS for DNN Inference on GPU Accelerators	21
Scalable and Adaptive Data Replica Placement for Geo-Distributed Cloud Storages	21
Elastic Deep Learning in Multi-Tenant GPU Clusters	20
High-Quality Shared-Memory Graph Partitioning	20
COOPER-SCHED: A Cooperative Scheduling Framework for Mobile Edge Computing with Expected Deadline Guarantee	20
Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks	20
LOCUS: User-Perceived Delay-Aware Service Placement and User Allocation in MEC Environment	20
K-Athena: A Performance Portable Structured Grid Finite Volume Magnetohydrodynamics Code	20
An Approximate Communication Framework for Network-on-Chips	20
GPU Tensor Cores for Fast Arithmetic Reductions	20
An Optimal Locality-Aware Task Scheduling Algorithm Based on Bipartite Graph Modelling for Spark Applications	20
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing	20
Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution	20
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression	19
Parallelization and Optimization of NSGA-II on Sunway TaihuLight System	19
Scalable, Multi-Constraint, Complex-Objective Graph Partitioning	19
Context-Aware Online Client Selection for Hierarchical Federated Learning	19
aeSpTV: An Adaptive and Efficient Framework for Sparse Tensor-Vector Product Kernel on a High-Performance Computing Platform	19
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning	19
Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization	19
Anomaly Detection and Anticipation in High Performance Computing Systems	19
Design and Performance Characterization of RADICAL-Pilot on Leadership-Class Platforms	18
SLEEF: A Portable Vectorized Library of C Standard Mathematical Functions	18
A Survey of System Architectures and Techniques for FPGA Virtualization	18
Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters	18
Exploring Data Analytics Without Decompression on Embedded GPU Systems	18

Decentralized Application Placement in Fog Computing	18
Efficient Parallelism of Post-Quantum Signature Scheme SPHINCS	18
Decentralized Utility- and Locality-Aware Replication for Heterogeneous DHT-Based P2P Cloud Storage Systems	18
CURE: A High-Performance, Low-Power, and Reliable Network-on-Chip Design Using Reinforcement Learning	18
Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms	18
Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data	18
HRHS: A High-Performance Real-Time Hardware Scheduler	17
A Bifactor Approximation Algorithm for Cloudlet Placement in Edge Computing	17
Differentially Private Byzantine-Robust Federated Learning	17
P-PFC: Reducing Tail Latency with Predictive PFC in Lossless Data Center Networks	17
BOSSA: A Decentralized System for Proofs of Data Retrievability and Replication	17
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning	17
Hamiltonian Paths of -cubes Avoiding Faulty Links and Passing Through Prescribed Linear Forests	16
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration	16
Hotspot-Aware Hybrid Memory Management for In-Memory Key-Value Stores	16
RENDA: Resource and Network Aware Data Placement Algorithm for Periodic Workloads in Cloud	16
QShield: Protecting Outsourced Cloud Data Queries With Multi-User Access Control Based on SGX	16
Endpoint-Flexible Coflow Scheduling Across Geo-Distributed Datacenters	16
Scheduling Periodical Multi-Stage Jobs With Fuzziness to Elastic Cloud Resources	16
A Practical and Efficient Bidirectional Access Control Scheme for Cloud-Edge Data Sharing	16
An Event-Driven Approach to Serverless Seismic Imaging in the Cloud	16
cCUDA: Effective Co-Scheduling of Concurrent Kernels on GPUs	16
Towards Usable Cloud Storage Auditing	16
Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs	15
Cost-Efficient Server Configuration and Placement for Mobile Edge Computing	15
Fine-Grained Multi-Query Stream Processing on Integrated Architectures	15
Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC	15
Achieving Fine-Grained Flow Management Through Hybrid Rule Placement in SDNs	15
Cuttlefish: Neural Configuration Adaptation for Video Analysis in Live Augmented Reality	15
Microservice Deployment in Edge Computing Based on Deep Q Learning	15
Co-Active: A Workload-Aware Collaborative Cache Management Scheme for NVMe SSDs	15
Modeling Analysis and Cost-Performance Ratio Optimization of Virtual Machine Scheduling in Cloud Computing	14
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments	14
HiTDL: High-Throughput Deep Learning Inference at the Hybrid Mobile Edge	14
Trust: Triangle Counting Reloaded on GPUs	14
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment	14
Deterministic Data Distribution for Efficient Recovery in Erasure-Coded Storage Systems	14
GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication	14
Octans: Optimal Placement of Service Function Chains in Many-Core Systems	14
Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems	14
E2bird: Enhanced Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services	14
The Workflow Trace Archive: Open-Access Data From Public and Private Computing Infrastructures	14
Silent-PIM: Realizing the Processing-in-Memory Computing With Standard Memory Requests	14
TherMa-MiCs: Thermal-Aware Scheduling for Fault-Tolerant Mixed-Criticality Systems	14
WindFlow: High-Speed Continuous Stream Processing With Parallel Building Blocks	14
GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning	14
Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation	14
Dynamic Load Balancing in Parallel Execution of Cellular Automata	13
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism	13
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems	13
Decentralized Dual Proximal Gradient Algorithms for Non-Smooth Constrained Composite Optimization Problems	13
Overlapping Communication With Computation in Parameter Server for Scalable DL Training	13
SF-Sketch: A Two-Stage Sketch for Data Streams	13
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid	13
A Generic Stochastic Model for Resource Availability in Fog Computing Environments	13
A Runtime and Non-Intrusive Approach to Optimize EDP by Tuning Threads and CPU Frequency for OpenMP Applications	13
Privacy-Preserving Efficient Federated-Learning Model Debugging	13
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations	13
Phase-Aware Cache Partitioning to Target Both Turnaround Time and System Performance	13
Eiffel: Efficient and Fair Scheduling in Adaptive Federated Learning	13
Resilient Real-Valued Consensus in Spite of Mobile Malicious Agents on Directed Graphs	13
Accelerating Restarted GMRES With Mixed Precision Arithmetic	13
Improving Restore Performance for In-Line Backup System Combining Deduplication and Delta Compression	13
Learning-Driven Interference-Aware Workload Parallelization for Streaming Applications in Heterogeneous Cluster	12
Parallel and Asynchronous Smart Contract Execution	12
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning	12
cuNH: Efficient GPU Implementations of Post-Quantum KEM NewHope	12
Replica Exchange MCMC Hardware With Automatic Temperature Selection and Parallel Trial	12
ESetStore: An Erasure-Coded Storage System With Fast Data Recovery	12
Collaborative Heterogeneity-Aware OS Scheduler for Asymmetric Multicore Processors	12
Investigating the Adoption of Hybrid Encrypted Cloud Data Deduplication With Game Theory	12
Reliability and Confidentiality Co-Verification for Parallel Applications in Distributed Systems	12
DTransE: Distributed Translating Embedding for Knowledge Graph	12
Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing	12
Power-Aware Allocation of Graph Jobs in Geo-Distributed Cloud Networks	12
Efficient Forwarding Anomaly Detection in Software-Defined Networks	12
Energy-Efficient Hardware-Accelerated Synchronization for Shared-L1-Memory Multiprocessor Clusters	12
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models	12
High Performance Simulation of Spiking Neural Network on GPGPUs	12
Benzene: Scaling Blockchain With Cooperation-Based Sharding	12
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training	12
Preemptive and Low Latency Datacenter Scheduling via Lightweight Containers	12
Millimeter-Scale and Billion-Atom Reactive Force Field Simulation on Sunway Taihulight	12
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation	11
Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness	11
Auction-Based Cluster Federated Learning in Mobile Edge Computing Systems	11
A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures	11
A Black-Box Fork-Join Latency Prediction Model for Data-Intensive Applications	11
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading	11
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures	11
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association	11
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data	11
A Pessimistic Fault Diagnosability of Large-Scale Connected Networks via Extra Connectivity	11
NITI: Training Integer Neural Networks Using Integer-Only Arithmetic	11
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms	11