IEEE Transactions on Parallel and Distributed Systems

Article	Citations
Internet Traffic Privacy Enhancement with Masking: Optimization and Trade-Offs	291
2020 Reviewers List	241
Guest Editorial: Special Section on SC19 Student Cluster Competition	212
Spread+: Scalable Model Aggregation in Federated Learning With Non-IID Data	195
SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services	190
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association	155
Dynamic Controller/Switch Mapping: A Service Oriented Assignment Approach	148
CloudSentry: Two-Stage Heavy Hitter Detection for Cloud-Scale Gateway Overload Protection	142
Communication Optimization Algorithms for Distributed Deep Learning Systems: A Survey	127
Chasing Common Knowledge: Joint Large Model Selection and Pulling in MEC With Parameter Sharing	123
Floating Point Calculation of the Cube Function on FPGAs	123
ViTeGNN: Towards Versatile Inference of Temporal Graph Neural Networks on FPGA	111
GPABE: GPU-Based Parallelization Framework for Attribute-Based Encryption Schemes	101
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds	100
A Parallel Jacobi-Embedded Gauss-Seidel Method	96
eHotSnap: An Efficient and Hot Distributed Snapshots System for Virtual Machine Cluster	92
FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks	88
Federated Learning With Nesterov Accelerated Gradient	80
2021 Index IEEE Transactions on Parallel and Distributed Systems Vol. 32	80
SketchINT: Empowering INT With TowerSketch for Per-Flow Per-Switch Measurement	79
Accurate Differentially Private Deep Learning on the Edge	78
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System	77
Faber: A Hardware/SoftWare Toolchain for Image Registration	77
Availability-Aware Revenue-Effective Application Deployment in Multi-Access Edge Computing	77
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service	76

FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training	75
OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration	73
Adaptive Resource Efficient Microservice Deployment in Cloud-Edge Continuum	73
Batch Crowdsourcing for Complex Tasks Based on Distributed Team Formation in E-Markets	70
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications	69
Communicational and Computational Efficient Federated Domain Adaptation	67
Design and Implementation of 2D Convolution on x86/x64 Processors	65
QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing	65
Online Orchestration of Collaborative Caching for Multi-Bitrate Videos in Edge Computing	64
TriangleKV: Reducing Write Stalls and Write Amplification in LSM-Tree Based KV Stores With Triangle Container in NVM	61
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University	60
SconeKV: A Scalable, Strongly Consistent Key-Value Store	60
Enabling Large Scale Simulations for Particle Accelerators	60
Theoretical Analysis of an Adaptive Periodic Multi Installment Scheduling With Result Retrieval for SAR Image Processing	60
Co-Concurrency Mechanism for Multi-GPUs in Distributed Heterogeneous Environments	58
PayDebt: Reduce Buffer Occupancy Under Bursty Traffic on Large Clusters	58
A Novel Compute-Efficient Tridiagonal Solver for Many-Core Architectures	58
Enabling In-Network Floating-Point Arithmetic for Efficient Computation Offloading	56
Replicated Versioned Data Structures for Wide-Area Distributed Systems	56
Sentinels and Twins: Effective Integrity Assessment for Distributed Computation	55
Blockchain-Based P2P Content Delivery With Monetary Incentivization and Fairness Guarantee	55
mpi4py.futures: MPI-Based Asynchronous Task Execution for Python	54
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore	53
A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization	53
High-Performance Routing With Multipathing and Path Diversity in Ethernet and HPC Networks	52
The Tiny-Tasks Granularity Trade-Off: Balancing Overhead Versus Performance in Parallel Systems	52
Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation	51
Improving the Efficiency of Deadlock Detection in MPI Programs Through Trace Compression	50
Towards Correlated Data Trading for High-Dimensional Private Data	50
Editorial	48
SEIZE: Runtime Inspection for Parallel Dataflow Systems	47
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement	46
SmartTuning: Selecting Hyper-Parameters of a ConvNet System for Fast Training and Small Working Memory	46
Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators	46
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From Peking University	44
Improving Effectiveness of Simulation-Based Inference in the Massively Parallel Regime	44
LAS: Locality-Aware Scheduling for GEMM-Accelerated Convolutions in GPUs	43
A General Approach to Generate Test Packets With Network Configurations	43
Enabling Balanced Data Deduplication in Mobile Edge Computing	43
Scheduling Algorithms for Federated Learning With Minimal Energy Consumption	43
TurboMGNN: Improving Concurrent GNN Training Tasks on GPU With Fine-Grained Kernel Fusion	43
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training	42
Exploring Fine-Grained In-Memory Database Performance for Modern CPUs	41
Experimental Survey of FPGA-Based Monolithic Switches and a Novel Queue Balancer	41
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication	41
A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers	40
Falcon: Fair and Efficient Online File Transfer Optimization	40
Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing	40
IO-Sets: Simple and Efficient Approaches for I/O Bandwidth Management	39
Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump	39

RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning	39
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators	39
On-Line Network Traffic Anomaly Detection Based on Tensor Sketch	39
US-Byte: An Efficient Communication Framework for Scheduling Unequal-Sized Tensor Blocks in Distributed Deep Learning	38
Online Learning Algorithms for Context-Aware Video Caching in D2D Edge Networks	36
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information	36
EiC Editorial – Advancing Reproducibility in Parallel and Distributed Systems Research	35
PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation	35
Design and Implementation of Deep Learning 2D Convolutions on Modern CPUs	35
GraphOpt: Constrained-Optimization-Based Parallelization of Irregular Graphs	34
NITI: Training Integer Neural Networks Using Integer-Only Arithmetic	33
AsyncFedGAN: An Efficient and Staleness-Aware Asynchronous Federated Learning Framework for Generative Adversarial Networks	32
Hardware Accelerator Integration Tradeoffs for High-Performance Computing: A Case Study of GEMM Acceleration in N-Body Methods	31
Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks	31
Retargeting Tensor Accelerators for Epistasis Detection	31
Joint SFC Deployment and Resource Management in Heterogeneous Edge for Latency Minimization	31
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware	31
Enabling Scalable and Extensible Memory-Mapped Datastores in Userspace	30
A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures	30
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations	30
Repurposing GPU Microarchitectures with Light-Weight Out-Of-Order Execution	30
VPIC 2.0: Next Generation Particle-in-Cell Simulations	30
Efficient and Accurate Flow Record Collection With HashFlow	30
DIESEL+: Accelerating Distributed Deep Learning Tasks on Image Datasets	29
DS-ADMM++: A Novel Distributed Quantized ADMM to Speed up Differentially Private Matrix Factorization	29
Online Reconfiguration of IoT Applications in the Fog: The Information-Coordination Trade-Off	29
LoomIO: Object-Level Coordination in Distributed File Systems	28
Pistis: Issuing Trusted and Authorized Certificates With Distributed Ledger and TEE	28
TridentKV: A Read-Optimized LSM-Tree Based KV Store via Adaptive Indexing and Space-Efficient Partitioning	28
Reproducibility: Performance Evaluation of MemXCT on Azure CycleCloud Platform	28
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Tsinghua University	28
Scaling Poisson Solvers on Many Cores via MMEwald	28
SPRINT: A High-Performance, Energy-Efficient, and Scalable Chiplet-Based Accelerator With Photonic Interconnects for CNN Inference	27
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems	27
CSEdge: Enabling Collaborative Edge Storage for Multi-Access Edge Computing Based on Blockchain	27
LOFS: A Lightweight Online File Storage Strategy for Effective Data Deduplication at Network Edge	27
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework	26
Optimizing Multi-Grid Preconditioned Conjugate Gradient Method on Multi-Cores	26
Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment	26
DMA-Assisted I/O for Persistent Memory	26
Building High-throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine	26
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity	26
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations	26
KLNK: Expanding Page Boundaries in a Distributed Shared Memory System	25
A 3D Hybrid Optical-Electrical NoC Using Novel Mapping Strategy Based DCNN Dataflow Acceleration	25
An Efficient Bottleneck Planes Exclusion Method for Reconfiguring 3D VLSI Arrays	25
Swift: Expedited Failure Recovery for Large-Scale DNN Training	25
AdaptChain: Adaptive Data Sharing and Synchronization for NFV Systems on Heterogeneous Architectures	25
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations	25
STT-RAM-Based Hierarchical in-Memory Computing	25
CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs	25
Sampling-Based Multi-Job Placement for Heterogeneous Deep Learning Clusters	25
RR-Compound: RDMA-Fused gRPC for Low Latency, High Throughput, and Easy Interface	24
GeoDeploy: Geo-Distributed Application Deployment Using Benchmarking	24
IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing	24
Cost-Effective and Robust Service Provisioning in Multi-Access Edge Computing	24
Gamora: Learning-Based Buffer-Aware Preloading for Adaptive Short Video Streaming	24
Algorithms for Data Sharing-Aware Task Allocation in Edge Computing Systems	23
H5Intent: Autotuning HDF5 With User Intent	23
Leveraging Graph Analysis to Pinpoint Root Causes of Scalability Issues for Parallel Applications	23
VisionAGILE: A Versatile Domain-Specific Accelerator for Computer Vision Tasks	23
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach	22
FedProf: Selective Federated Learning based on Distributional Representation Profiling	22
Federated Ensemble Model-Based Reinforcement Learning in Edge Computing	22
TrieKV: A High-Performance Key-Value Store Design With Memory as Its First-Class Citizen	22
Joint Dynamic Data and Model Parallelism for Distributed Training of DNNs Over Heterogeneous Infrastructure	22
Securing Distributed SGD Against Gradient Leakage Threats	22
Two-Dimensional Balanced Partitioning and Efficient Caching for Distributed Graph Analysis	22
TOP: Task-Based Operator Parallelism for Asynchronous Deep Learning Inference on GPU	22
Efficient Forwarding Anomaly Detection in Software-Defined Networks	22
CAMIG: Concurrency-Aware Live Migration Management of Multiple Virtual Machines in SDN-Enabled Clouds	21
An Efficient Parallel Secure Machine Learning Framework on GPUs	21
Multi-Agent Deep Reinforcement Learning Framework for Renewable Energy-Aware Workflow Scheduling on Distributed Cloud Data Centers	21
Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks	21
Votes-as-a-Proof (VaaP): Permissioned Blockchain Consensus Protocol Made Simple	21
Mechanisms for Resource Allocation and Pricing in Mobile Edge Computing Systems	21
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning	20
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters	20
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression	20
Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data	20

Multi-Job Intelligent Scheduling With Cross-Device Federated Learning	20
RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection	20
DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters	20
IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems	20
Adaptive Vertical Federated Learning on Unbalanced Features	19
A Comparative Study of Sampling Methods With Cross-Validation in the FedHome Framework	19
Topology-Aware Neural Model for Highly Accurate QoS Prediction	19
Personalized Edge Intelligence via Federated Self-Knowledge Distillation	19
Offloading Tasks With Dependency and Service Caching in Mobile Edge Computing	19
Fine-Grained Multi-Query Stream Processing on Integrated Architectures	19
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization	19
Auction-Based Cluster Federated Learning in Mobile Edge Computing Systems	19
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading	19
Real Relative Encoding Genetic Algorithm for Workflow Scheduling in Heterogeneous Distributed Computing Systems	19
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms	18
CiMBA: Accelerating Genome Sequencing through On-Device Basecalling via Compute-in-Memory	18
An Unequal Caching Strategy for Shared-Memory Graph Analytics	18
Astrea:Auto-Serverless Analytics Towards Cost-Efficiency and QoS-Awareness	18
Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management	18
A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments	18
Alleviating the Impact of Abnormal Events Through Multi-Constrained VM Placement	18
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System	18
A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee	18
Data-Centric Client Selection for Federated Learning Over Distributed Edge Networks	18
Joint Task Scheduling and Containerizing for Efficient Edge Computing	18
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads	18
Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing	17
IEEE Special Issue on Innovative R&D Toward the Exascale Era	17
Adaptive QoS-Aware Microservice Deployment With Excessive Loads via Intra- and Inter-Datacenter Scheduling	17
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation	17
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning	17
IEEE Quantum Week Register 2023	17
Elastic and Reliable Bandwidth Reservation Based on Distributed Traffic Monitoring and Control	17
FHE4DMM: A Low-Latency Distributed Matrix Multiplication With Fully Homomorphic Encryption	17
Energy-Efficient Cache-Aware Scheduling on Heterogeneous Multicore Systems	17
FRuDA: Framework for Distributed Adversarial Domain Adaptation	17
Accelerating Distributed GNN Training by Codes	17
COOPER-SCHED: A Cooperative Scheduling Framework for Mobile Edge Computing with Expected Deadline Guarantee	17
PS+: A Simple yet Effective Framework for Fast Training on Parameter Server	16
Architectural Adaptation and Performance-Energy Optimization for CFD Application on AMD EPYC Rome	16
PhaST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory	16
AccTFM: An Effective Intra-Layer Model Parallelization Strategy for Training Large-Scale Transformer-Based Models	16
PushBox: Making Use of Every Bit of Time to Accelerate Completion of Data-Parallel Jobs	16
A Bifactor Approximation Algorithm for Cloudlet Placement in Edge Computing	16
Level-Based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication	16
Accelerating Tensor Swapping in GPUs With Self-Tuning Compression	16
Redesigning and Optimizing UCSF DOCK3.7 on Sunway TaihuLight	16
Max-Tree Computation on GPUs	16
Busy-Time Scheduling on Heterogeneous Machines: Algorithms and Analysis	16
BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription	16
swMPAS-A: Scaling MPAS-A to 39 Million Heterogeneous Cores on the New Generation Sunway Supercomputer	15
Parallel Dynamic Sparse Approximate Inverse Preconditioning Algorithm on GPU	15
Loop-the-Loops: Fragmented Learning Over Networks for Constrained IoT Devices	15
A relative coordinate based distributed sparse-preserving matrix factorization approach towards self-stabilizing network location service - Withdrawn	15
Building Trust in Earth Science Findings through Data Traceability and Results Explainability	15
HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing	15
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats	15
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems	15
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems	15
Privacy Preserving n-Party Scalar Product Protocol	15
Bio-ESMD: A Data Centric Implementation for Large-Scale Biological System Simulation on Sunway TaihuLight Supercomputer	15
Resettable Encoded Vector Clock for Causality Analysis With an Application to Dynamic Race Detection	15
Outperforming Sequential Full-Word Long Addition With Parallelization and Vectorization	15
Near-Lossless MPI Tracing and Proxy Application Autogeneration	15
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Peking University	15
Neighbor Graph Based Tensor Recovery For Accurate Internet Anomaly Detection	15
Topology-Aware Scheduling Framework for Microservice Applications in Cloud	15
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework	15
Offloading Algorithms for Maximizing Inference Accuracy on Edge Device in an Edge Intelligence System	14
FLUPS - A Flexible and Performant Massively Parallel Fourier Transform Library	14
Partitioning-Based Scheduling of OpenMP Task Systems With Tied Tasks	14
Privacy-Preserving Similarity Search With Efficient Updates in Distributed Key-Value Stores	14
Hone: Mitigating Stragglers in Distributed Stream Processing With Tuple Scheduling	14
Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment	14
A Case for Pricing Bandwidth: Sharing Datacenter Networks With Cost Dominant Fairness	14
Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility	14
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From University of Washington	14
Shuffle Differential Private Data Aggregation for Random Population	14
Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms	14
Preventive Priority Setting Against Multiple Controller Failures in Software Defined Networks	13
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network	13
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs	13
TDTA: Topology-Based Real-Time DAG Task Allocation on Identical Multiprocessor Platforms	13
A High-Performance and Energy-Efficient Photonic Architecture for Multi-DNN Acceleration	13
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms	13
Joint Caching and Routing in Cache Networks With Arbitrary Topology	13
The Doctrine of MEAN: Realizing Deduplication Storage at Unreliable Edge	13
GEM: Ultra-Efficient Near-Memory Reconfigurable Acceleration for Read Mapping by Dividing and Predictive Scattering	13
OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices	13
Improving the Performance and Endurance of Persistent Memory with Loose-Ordering Consistency	13
Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms	13
Back to Homogeneous Computing: A Tightly-Coupled Neuromorphic Processor With Neuromorphic ISA	13
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From National Tsing Hua University	13
Consistent Low Latency Scheduler for Distributed Key-Value Stores	13
Understanding the Impact of Arbitration in MZI-Based Beneš Switching Fabrics	13