IEEE Transactions on Parallel and Distributed Systems

Papers
(The median citation count of IEEE Transactions on Parallel and Distributed Systems is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-12-01 to 2025-12-01.)
ArticleCitations
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Tsinghua University366
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications253
H5Intent: Autotuning HDF5 With User Intent244
Replicated Versioned Data Structures for Wide-Area Distributed Systems193
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information184
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations170
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds165
Mapping Large-Scale Spiking Neural Network on Arbitrary Meshed Neuromorphic Hardware118
Optimizing Data Locality by Integrating Intermediate Data Partitioning and Reduce Task Scheduling in Spark Framework117
Online Container Caching for IoT Data Processing in Serverless Edge Computing116
Enabling Large Scale Simulations for Particle Accelerators107
An Efficient Bottleneck Planes Exclusion Method for Reconfiguring 3D VLSI Arrays103
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System98
Design and Implementation of 2D Convolution on x86/x64 Processors96
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization94
AWB+-Tree: A Novel Width-Based Index Structure Supporting Hybrid Matching for Large-Scale Content-Based Pub/Sub Systems92
Federated Learning With Nesterov Accelerated Gradient91
IRHunter: Universal Detection of Instruction Reordering Vulnerabilities for Enhanced Concurrency in Distributed and Parallel Systems91
Fully Decentralized Data Distribution for Large-Scale HPC Systems88
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training86
Building High-throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine85
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement83
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach77
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity76
Large-Scale Neural Network Quantum States Calculation for Quantum Chemistry on a New Sunway Supercomputer75
QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing74
RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications73
Graph-Centric Performance Analysis for Large-Scale Parallel Applications72
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network71
Building Accurate and Interpretable Online Classifiers on Edge Devices71
Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization71
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration69
BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription64
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment64
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats64
DyLaClass: Dynamic Labeling Based Classification for Optimal Sparse Matrix Format Selection in Accelerating SpMV63
PreTrans: Enabling Efficient CGRA Multi-Task Context Switch Through Config Pre-Mapping and Data Transceiving62
Cannikin: No Lagger of SLO in Concurrent Multiple LoRA LLM Serving62
A Pessimistic Fault Diagnosability of Large-Scale Connected Networks via Extra Connectivity59
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory59
Efficient and Automated Deployment Architecture for OpenStack in TianHe SuperComputing Environment58
PHIDE: A Parallel Hybrid Direct-Iterative Eigensolver for Hermitian Eigenvalue Problems57
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration57
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems57
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms56
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads56
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems55
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud55
Improving the Scalability of GPU Synchronization Primitives52
Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning51
Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications51
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning50
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks50
A Lightweight and Fine-Grained Ciphertext Search Scheme for Big Data Assisted by Proxy Servers50
AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF49
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation49
SSRAID: A Stripe-Queued and Stripe-Threaded Merging I/O Strategy to Improve Write Performance of Serial Interface SSD RAID48
Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets48
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels47
HashCache: Accelerating Serverless Computing by Skipping Duplicated Function Execution45
DynPipe: Toward Dynamic End-to-End Pipeline Parallelism for Interference-Aware DNN Training45
iBalancer: Load-Aware in-Server Flow Scheduling for Sub-Millisecond Tail Latency45
2024 Reviewers List*44
Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions44
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From the University of Texas at Austin44
SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle43
Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation43
Two-Timescale Joint Optimization of Task Scheduling and Resource Scaling in Multi-Data Center System Based on Multi-Agent Deep Reinforcement Learning43
Efficient Distributed Approaches to Core Maintenance on Large Dynamic Graphs42
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication42
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks41
Libfork: Portable Continuation-Stealing With Stackless Coroutines41
Scalable, Confidential and Survivable Software Updates41
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra40
Congestion Control for Datacenter Networks: A Control-Theoretic Approach39
cuFastTuckerPlusTC: a Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores39
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training39
Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications39
Liberator: A Data Reuse Framework for Out-of-Memory Graph Computing on GPUs38
Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning38
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University37
FedVeca: Federated Vectorized Averaging on Non-IID Data With Adaptive Bi-Directional Global Objective36
HybRAID: A High-Performance Hybrid RAID Storage Architecture for Write-Intensive Applications in All-Flash Storage Systems36
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization35
Optimal Convex Hull Formation on a Grid by Asynchronous Robots With Lights35
Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems35
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation34
HiTDL: High-Throughput Deep Learning Inference at the Hybrid Mobile Edge34
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters34
Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis34
A Survey of Storage Systems in the RDMA Era34
An Efficient Algorithm for Hamiltonian Path Embedding of $k$-Ary $n$-Cubes under the Partitioned Edge Fault Model33
VCSR: An Efficient GPU Memory-Aware Sparse Format33
Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs33
DePo: Dynamically Offload Expensive Event Processing to the Edge of Cyber-Physical Systems33
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms33
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging32
Flexible and Efficient Memory Swapping Across Mobile Devices With LegoSwap32
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems32
SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor32
EESaver: Saving Energy Dynamically for Green Multi-Access Edge Computing32
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers31
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation31
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems31
HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction31
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism31
GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning30
Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment30
Cost-Efficient Server Configuration and Placement for Mobile Edge Computing30
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems29
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization29
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University29
Predicting Throughput of Distributed Stochastic Gradient Descent28
HI-Kyber: A Novel High-Performance Implementation Scheme of Kyber Based on GPU28
A Practical Framework for Secure Document Retrieval in Encrypted Cloud File Systems28
Timed Loops for Distributed Storage in Wireless Networks28
Dynamic GPU Energy Optimization for Machine Learning Training Workloads28
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs28
Deadline and Reliability Aware Multiserver Configuration Optimization for Maximizing Profit28
Doing More With Less: Balancing Probing Costs and Task Offloading Efficiency At the Network Edge28
Necessary Feasibility Analysis for Mixed-Criticality Real-Time Embedded Systems27
Parallel and Distributed Bayesian Network Structure Learning27
Accelerated Information Dissemination for Replica Selection in Distributed Key-Value Store Systems27
Revisiting PM-Based B-Tree With Persistent CPU Cache27
Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization27
Improving Fairness for SSD Devices through DRAM Over-Provisioning Cache Management26
Toward Load-Balanced Redundancy Transitioning for Erasure-Coded Storage26
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints26
LOCUS: User-Perceived Delay-Aware Service Placement and User Allocation in MEC Environment26
Optimization of Reactive Force Field Simulation: Refactor, Parallelization, and Vectorization for Interactions26
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid26
NetSHa: In-Network Acceleration of LSH-Based Distributed Search26
Understanding the Impact of Data Staging for Coupled Scientific Workflows25
FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing25
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training25
Microservice Deployment in Edge Computing Based on Deep Q Learning25
Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection25
CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework With Low Communication Overhead25
Graphite: Hardware-Aware GNN Reshaping for Acceleration With GPU Tensor Cores25
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds25
UFC2: User-Friendly Collaborative Cloud25
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion24
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs24
RADAR: A Skew-Resistant and Hotness-Aware Ordered Index Design for Processing-in-Memory Systems24
MRCN: Throughput-Oriented Multicast Routing for Customized Network-on-Chips24
Multi-Agent Collaboration for Workflow Task Offloading in End-Edge-Cloud Environments Using Deep Reinforcement Learning24
On the Analysis of Cache Invalidation With LRU Replacement24
On Mixing Eventual and Strong Consistency: Acute Cloud Types24
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation24
Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds24
Online Pricing and Trading of Private Data in Correlated Queries24
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks24
Increasing the Efficiency of Massively Parallel Sparse Matrix-Matrix Multiplication in First-Principles Calculation on the New-Generation Sunway Supercomputer24
Ocelot: An Interactive, Efficient Distributed Compression-As-a-Service Platform With Optimized Data Compression Techniques24
Content Collaborative Caching Strategy in the Edge Maintenance of Communication Network: A Joint Download Delay and Energy Consumption Method23
VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems23
Critique of “Data Flow Lifecycles for Optimizing Workflow Coordination” by SCC Team From National Tsing Hua University23
The State of the Art of Metadata Managements in Large-Scale Distributed File Systems — Scalability, Performance and Availability23
Scaling Poisson Solvers on Many Cores via MMEwald23
Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections23
EDTC: Exact Triangle Counting for Dynamic Graphs on GPU23
Cost-Effective Server Deployment for Multi-Access Edge Networks: A Cooperative Scheme23
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems23
Monte: SFCs Migration Scheme in the Distributed Programmable Data Plane23
On Model Transmission Strategies in Federated Learning With Lossy Communications23
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis23
Propagation Pattern for Moment Representation of the Lattice Boltzmann Method23
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations23
Estuary: A Low Cross-Shard Blockchain Sharding Protocol Based on State Splitting23
Floating Point Calculation of the Cube Function on FPGAs22
CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs22
An Unequal Caching Strategy for Shared-Memory Graph Analytics22
Improved Methods of Task Assignment and Resource Allocation With Preemption in Edge Computing Systems22
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University22
GPABE: GPU-Based Parallelization Framework for Attribute-Based Encryption Schemes21
NDP: Network Division Positioning for Irregular Multi-Hop Networks21
Co-Concurrency Mechanism for Multi-GPUs in Distributed Heterogeneous Environments21
Repurposing GPU Microarchitectures with Light-Weight Out-Of-Order Execution21
Guest Editorial:Special Section on SC22 Student Cluster Competition21
High Performance OpenCL-Based GEMM Kernel Auto-Tuned by Bayesian Optimization21
m2LLM: A Multi-Dimensional Optimization Framework for LLM Inference on Mobile Devices21
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning21
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators20
RPCE: Dynamic Data Replicas Placement Management by Cloud and Edge Collaboration20
FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks20
MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR20
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems19
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System19
IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing19
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading19
PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation19
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication18
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework18
Cooperative Scheduling Schemes for Explainable DNN Acceleration in Satellite Image Analysis and Retraining18
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression18
Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump18
Gamora: Learning-Based Buffer-Aware Preloading for Adaptive Short Video Streaming18
Concurrent and Orthogonal Software Power Meters for Accurate Runtime Energy Profiling of Parallel Hybrid Programs on Heterogeneous Hybrid Servers18
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters18
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore18
LOFS: A Lightweight Online File Storage Strategy for Effective Data Deduplication at Network Edge18
Adaptive Vertical Federated Learning on Unbalanced Features18
Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks17
FLUPS - A Flexible and Performant Massively Parallel Fourier Transform Library17
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration17
CPLNS: Cooperative Parallel Large Neighborhood Search for Large-Scale Multi-Agent Path Finding17
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism17
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs17
MemTunnel: A CXL-Based Rack-Scale Host Memory Pooling Architecture for Cloud Service17
Shuffle Differential Private Data Aggregation for Random Population17
Synergistically Rebalancing the EDP of Container-Based Parallel Applications17
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From ETH Zürich17
Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems17
Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing17
The Doctrine of MEAN: Realizing Deduplication Storage at Unreliable Edge16
PhaST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory16
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing16
Near-Lossless MPI Tracing and Proxy Application Autogeneration16
Cost-Effective and Low-Latency Data Placement in Edge Environment Based on PageRank-Inspired Regional Value16
Based on Tensor Core Sparse Kernels Accelerating Deep Neural Networks16
Privacy Preserving Task Push in Spatial Crowdsourcing With Unknown Popularity16
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems16
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework16
Accelerating Half-Precision Seismic Simulation on Neural Processing Unit15
GAP-DCCS: A Generic Acceleration Paradigm for Data-Intensive Applications With Efficient Data Compression and Caching Strategy Over CPU-GPU Clusters15
Rethinking Virtual Machines Live Migration for Memory Disaggregation15
Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks15
Coordinated Batching and DVFS for DNN Inference on GPU Accelerators15
A Non-Intrusive Multi-objective Task Scheduling Method for JointCloud Environment15
A Practical and Efficient Bidirectional Access Control Scheme for Cloud-Edge Data Sharing15
A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties15
A Resource-Efficient Predictive Resource Provisioning System in Cloud Systems15
FEUAGame: Fairness-Aware Edge User Allocation for App Vendors15
Scheduling Fork-Joins With Communication Delays and Equal Processing Times on Heterogeneous Processors15
Guest Editorial15
Loci: Federated Continual Learning of Heterogeneous Tasks at Edge15
Accelerating Communication-Efficient Federated Multi-Task Learning With Personalization and Fairness15
Evaluating Data Redistribution in PaRSEC15
Accelerating Restarted GMRES With Mixed Precision Arithmetic15
Node Essentiality Assessment and Distributed Collaborative Virtual Network Embedding in Datacenters15
Retrospecting Available CPU Resources: SMT-Aware Scheduling to Prevent SLA Violations in Data Centers15
Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live Streaming14
ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge14
Scalable Deep Reinforcement Learning-Based Online Routing for Multi-Type Service Requirements14
MoltDB: Accelerating Blockchain via Ancient State Segregation14
Deep Neural Network Training With Distributed K-FAC14
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm14
Toward Materials Genome Big-Data: A Blockchain-Based Secure Storage and Efficient Retrieval Method14
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing14
Fast Post-Hoc Normalization for Brain Inspired Sparse Coding on a Neuromorphic Device14
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