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 2021-11-01 to 2025-11-01.)
ArticleCitations
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Tsinghua University339
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications245
H5Intent: Autotuning HDF5 With User Intent240
Replicated Versioned Data Structures for Wide-Area Distributed Systems189
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information181
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach164
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training161
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement116
Mapping Large-Scale Spiking Neural Network on Arbitrary Meshed Neuromorphic Hardware114
Optimizing Data Locality by Integrating Intermediate Data Partitioning and Reduce Task Scheduling in Spark Framework111
Enabling Large Scale Simulations for Particle Accelerators108
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System100
An Efficient Bottleneck Planes Exclusion Method for Reconfiguring 3D VLSI Arrays100
Building High-throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine96
Design and Implementation of 2D Convolution on x86/x64 Processors94
AWB+-Tree: A Novel Width-Based Index Structure Supporting Hybrid Matching for Large-Scale Content-Based Pub/Sub Systems93
IRHunter: Universal Detection of Instruction Reordering Vulnerabilities for Enhanced Concurrency in Distributed and Parallel Systems91
QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing90
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds86
Federated Learning With Nesterov Accelerated Gradient85
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization85
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations85
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity81
RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications75
Graph-Centric Performance Analysis for Large-Scale Parallel Applications74
Building Accurate and Interpretable Online Classifiers on Edge Devices72
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads71
Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization71
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network71
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From University of Washington70
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats69
BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription69
Improved MPC Algorithms for Edit Distance and Ulam Distance67
Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications63
Cannikin: No Lagger of SLO in Concurrent Multiple LoRA LLM Serving63
PreTrans: Enabling Efficient CGRA Multi-Task Context Switch Through Config Pre-Mapping and Data Transceiving62
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation61
Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning60
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment60
DyLaClass: Dynamic Labeling Based Classification for Optimal Sparse Matrix Format Selection in Accelerating SpMV59
A Pessimistic Fault Diagnosability of Large-Scale Connected Networks via Extra Connectivity58
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud57
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms57
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory56
Improving the Scalability of GPU Synchronization Primitives55
Efficient and Automated Deployment Architecture for OpenStack in TianHe SuperComputing Environment55
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration53
PHIDE: A Parallel Hybrid Direct-Iterative Eigensolver for Hermitian Eigenvalue Problems51
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems51
Scalable Hybrid Learning Techniques for Scientific Data Compression50
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration50
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning50
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems50
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks49
Libfork: Portable Continuation-Stealing With Stackless Coroutines49
A Lightweight and Fine-Grained Ciphertext Search Scheme for Big Data Assisted by Proxy Servers48
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation47
Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets45
AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF45
SSRAID: A Stripe-Queued and Stripe-Threaded Merging I/O Strategy to Improve Write Performance of Serial Interface SSD RAID44
Distributed Discrete Morse Sandwich: Efficient Computation of Persistence Diagrams for Massive Scalar Data43
Congestion Control for Datacenter Networks: A Control-Theoretic Approach43
DynPipe: Toward Dynamic End-to-End Pipeline Parallelism for Interference-Aware DNN Training43
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks43
HashCache: Accelerating Serverless Computing by Skipping Duplicated Function Execution43
2024 Reviewers List*42
iBalancer: Load-Aware in-Server Flow Scheduling for Sub-Millisecond Tail Latency42
Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions42
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From the University of Texas at Austin42
Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation40
Two-Timescale Joint Optimization of Task Scheduling and Resource Scaling in Multi-Data Center System Based on Multi-Agent Deep Reinforcement Learning40
Scalable, Confidential and Survivable Software Updates40
Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications39
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training39
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels39
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication39
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra39
Efficient Distributed Approaches to Core Maintenance on Large Dynamic Graphs37
Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning37
Liberator: A Data Reuse Framework for Out-of-Memory Graph Computing on GPUs37
HybRAID: A High-Performance Hybrid RAID Storage Architecture for Write-Intensive Applications in All-Flash Storage Systems36
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University36
FedVeca: Federated Vectorized Averaging on Non-IID Data With Adaptive Bi-Directional Global Objective35
Optimal Convex Hull Formation on a Grid by Asynchronous Robots With Lights35
Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems34
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization34
A Survey of Storage Systems in the RDMA Era34
Flexible and Efficient Memory Swapping Across Mobile Devices With LegoSwap33
HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction33
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems33
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms33
Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis33
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters32
DePo: Dynamically Offload Expensive Event Processing to the Edge of Cyber-Physical Systems32
GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning32
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation32
EESaver: Saving Energy Dynamically for Green Multi-Access Edge Computing32
An Efficient Algorithm for Hamiltonian Path Embedding of $k$-Ary $n$-Cubes under the Partitioned Edge Fault Model31
Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs31
SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor31
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging31
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation30
VCSR: An Efficient GPU Memory-Aware Sparse Format30
Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment30
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism30
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers30
Cost-Efficient Server Configuration and Placement for Mobile Edge Computing29
HiTDL: High-Throughput Deep Learning Inference at the Hybrid Mobile Edge29
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems29
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University29
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems29
Understanding the Impact of Data Staging for Coupled Scientific Workflows29
Timed Loops for Distributed Storage in Wireless Networks28
Deadline and Reliability Aware Multiserver Configuration Optimization for Maximizing Profit28
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization28
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs27
Doing More With Less: Balancing Probing Costs and Task Offloading Efficiency At the Network Edge27
Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection27
Toward Load-Balanced Redundancy Transitioning for Erasure-Coded Storage27
HI-Kyber: A Novel High-Performance Implementation Scheme of Kyber Based on GPU27
NetSHa: In-Network Acceleration of LSH-Based Distributed Search27
LOCUS: User-Perceived Delay-Aware Service Placement and User Allocation in MEC Environment26
Microservice Deployment in Edge Computing Based on Deep Q Learning26
Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization26
Revisiting PM-Based B-Tree With Persistent CPU Cache26
Dynamic GPU Energy Optimization for Machine Learning Training Workloads26
Accelerated Information Dissemination for Replica Selection in Distributed Key-Value Store Systems26
Necessary Feasibility Analysis for Mixed-Criticality Real-Time Embedded Systems26
Parallel and Distributed Bayesian Network Structure Learning26
Optimization of Reactive Force Field Simulation: Refactor, Parallelization, and Vectorization for Interactions25
FEditor: Consecutive Task Placement with Adjustable Shapes using FPGA State Frames25
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds25
Improving Fairness for SSD Devices through DRAM Over-Provisioning Cache Management25
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid25
A Practical Framework for Secure Document Retrieval in Encrypted Cloud File Systems25
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints25
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training25
FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing25
Graphite: Hardware-Aware GNN Reshaping for Acceleration With GPU Tensor Cores25
UFC2: User-Friendly Collaborative Cloud24
RADAR: A Skew-Resistant and Hotness-Aware Ordered Index Design for Processing-in-Memory Systems24
Predicting Throughput of Distributed Stochastic Gradient Descent24
Content Collaborative Caching Strategy in the Edge Maintenance of Communication Network: A Joint Download Delay and Energy Consumption Method24
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks24
CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework With Low Communication Overhead24
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations24
Estuary: A Low Cross-Shard Blockchain Sharding Protocol Based on State Splitting23
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation23
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems23
On Model Transmission Strategies in Federated Learning With Lossy Communications23
The State of the Art of Metadata Managements in Large-Scale Distributed File Systems — Scalability, Performance and Availability23
Online Pricing and Trading of Private Data in Correlated Queries23
Multi-Agent Collaboration for Workflow Task Offloading in End-Edge-Cloud Environments Using Deep Reinforcement Learning23
Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds23
VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems23
Monte: SFCs Migration Scheme in the Distributed Programmable Data Plane23
Cost-Effective Server Deployment for Multi-Access Edge Networks: A Cooperative Scheme23
MRCN: Throughput-Oriented Multicast Routing for Customized Network-on-Chips23
Propagation Pattern for Moment Representation of the Lattice Boltzmann Method23
On the Analysis of Cache Invalidation With LRU Replacement22
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs22
Critique of “Data Flow Lifecycles for Optimizing Workflow Coordination” by SCC Team From National Tsing Hua University22
Floating Point Calculation of the Cube Function on FPGAs22
Increasing the Efficiency of Massively Parallel Sparse Matrix-Matrix Multiplication in First-Principles Calculation on the New-Generation Sunway Supercomputer22
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion22
EDTC: Exact Triangle Counting for Dynamic Graphs on GPU22
Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections22
On Mixing Eventual and Strong Consistency: Acute Cloud Types22
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis22
Scaling Poisson Solvers on Many Cores via MMEwald22
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From Peking University21
m2LLM: A Multi-Dimensional Optimization Framework for LLM Inference on Mobile Devices21
Gamora: Learning-Based Buffer-Aware Preloading for Adaptive Short Video Streaming21
CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs21
An Unequal Caching Strategy for Shared-Memory Graph Analytics21
High Performance OpenCL-Based GEMM Kernel Auto-Tuned by Bayesian Optimization21
FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks21
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University21
Improved Methods of Task Assignment and Resource Allocation With Preemption in Edge Computing Systems21
Guest Editorial:Special Section on SC22 Student Cluster Competition20
NDP: Network Division Positioning for Irregular Multi-Hop Networks20
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators20
Cache Partition Management for Improving Fairness and I/O Responsiveness in NVMe SSDs20
Co-Concurrency Mechanism for Multi-GPUs in Distributed Heterogeneous Environments20
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System20
RPCE: Dynamic Data Replicas Placement Management by Cloud and Edge Collaboration19
MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR19
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework19
GPABE: GPU-Based Parallelization Framework for Attribute-Based Encryption Schemes19
Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks19
Repurposing GPU Microarchitectures with Light-Weight Out-Of-Order Execution19
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression19
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems18
PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation18
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication18
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning18
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters18
Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump18
Adaptive Vertical Federated Learning on Unbalanced Features18
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading18
IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing17
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From ETH Zürich17
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs17
LOFS: A Lightweight Online File Storage Strategy for Effective Data Deduplication at Network Edge17
FLUPS - A Flexible and Performant Massively Parallel Fourier Transform Library17
Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems17
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore17
Cooperative Scheduling Schemes for Explainable DNN Acceleration in Satellite Image Analysis and Retraining17
Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility17
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration17
Cost-Effective and Low-Latency Data Placement in Edge Environment Based on PageRank-Inspired Regional Value16
Privacy Preserving Task Push in Spatial Crowdsourcing With Unknown Popularity16
Shuffle Differential Private Data Aggregation for Random Population16
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism16
Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing16
CPLNS: Cooperative Parallel Large Neighborhood Search for Large-Scale Multi-Agent Path Finding16
Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks16
Synergistically Rebalancing the EDP of Container-Based Parallel Applications16
MemTunnel: A CXL-Based Rack-Scale Host Memory Pooling Architecture for Cloud Service16
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems16
Near-Lossless MPI Tracing and Proxy Application Autogeneration16
Guest Editorial15
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework15
MoltDB: Accelerating Blockchain via Ancient State Segregation15
Loci: Federated Continual Learning of Heterogeneous Tasks at Edge15
PhaST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory15
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing15
A Non-Intrusive Multi-objective Task Scheduling Method for JointCloud Environment15
Retrospecting Available CPU Resources: SMT-Aware Scheduling to Prevent SLA Violations in Data Centers15
The Doctrine of MEAN: Realizing Deduplication Storage at Unreliable Edge15
Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks15
Deep Neural Network Training With Distributed K-FAC15
Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live Streaming14
Detailed Modeling of Heterogeneous and Contention-Constrained Point-to-Point MPI Communication14
Scheduling Fork-Joins With Communication Delays and Equal Processing Times on Heterogeneous Processors14
A Practical and Efficient Bidirectional Access Control Scheme for Cloud-Edge Data Sharing14
Node Essentiality Assessment and Distributed Collaborative Virtual Network Embedding in Datacenters14
Rethinking Virtual Machines Live Migration for Memory Disaggregation14
Hypergraph-Based Numerical Neural-Like P Systems for Medical Image Segmentation14
Accelerating Communication-Efficient Federated Multi-Task Learning With Personalization and Fairness14
Energy Efficient and Multi-Resource Optimization for Virtual Machine Placement by Improving MOEA/D14
ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge14
Scalable Deep Reinforcement Learning-Based Online Routing for Multi-Type Service Requirements14
A Native Tensor–Vector Multiplication Algorithm for High Performance Computing14
A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties14
FEUAGame: Fairness-Aware Edge User Allocation for App Vendors14
An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor14
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing14
Evaluating Data Redistribution in PaRSEC14
μBench: An Open-Source Factory of Benchmark Microservice Applications14
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