IEEE Transactions on Parallel and Distributed Systems

Papers
(The TQCC of IEEE Transactions on Parallel and Distributed Systems is 13. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Enabling Large Scale Simulations for Particle Accelerators269
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Tsinghua University228
Building High-throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine206
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications204
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity162
Design and Implementation of 2D Convolution on x86/x64 Processors160
Replicated Versioned Data Structures for Wide-Area Distributed Systems155
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information134
An Efficient Bottleneck Planes Exclusion Method for Reconfiguring 3D VLSI Arrays130
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations126
H5Intent: Autotuning HDF5 With User Intent102
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach101
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System98
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds93
IRHunter: Universal Detection of Instruction Reordering Vulnerabilities for Enhanced Concurrency in Distributed and Parallel Systems86
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement84
AWB+-Tree: A Novel Width-Based Index Structure Supporting Hybrid Matching for Large-Scale Content-Based Pub/Sub Systems83
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training81
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization79
QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing78
Federated Learning With Nesterov Accelerated Gradient76
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation76
Joint Task Scheduling and Containerizing for Efficient Edge Computing76
Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications74
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From University of Washington72
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network71
Graph-Centric Performance Analysis for Large-Scale Parallel Applications69
Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization67
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration67
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning65
A Pessimistic Fault Diagnosability of Large-Scale Connected Networks via Extra Connectivity65
DyLaClass: Dynamic Labeling Based Classification for Optimal Sparse Matrix Format Selection in Accelerating SpMV64
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms63
Efficient and Automated Deployment Architecture for OpenStack in TianHe SuperComputing Environment63
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks61
BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription61
Improved MPC Algorithms for Edit Distance and Ulam Distance60
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats60
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment58
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems57
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory55
Burst Load Evacuation Based on Dispatching and Scheduling In Distributed Edge Networks55
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud55
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads54
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration54
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems52
Libfork: Portable Continuation-Stealing With Stackless Coroutines49
Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning49
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation49
Improving the Scalability of GPU Synchronization Primitives49
Silhouette: Efficient Cloud Configuration Exploration for Large-Scale Analytics48
Rings for Privacy: An Architecture for Large Scale Privacy-Preserving Data Mining48
Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation48
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels47
HashCache: Accelerating Serverless Computing by Skipping Duplicated Function Execution47
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication47
Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets47
AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF47
Scalable, Confidential and Survivable Software Updates46
Guest Editorial46
SSRAID: A Stripe-Queued and Stripe-Threaded Merging I/O Strategy to Improve Write Performance of Serial Interface SSD RAID46
Congestion Control for Datacenter Networks: A Control-Theoretic Approach45
iBalancer: Load-Aware in-Server Flow Scheduling for Sub-Millisecond Tail Latency43
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From the University of Texas at Austin42
Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions42
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training41
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks41
2024 Reviewers List*41
Two-Timescale Joint Optimization of Task Scheduling and Resource Scaling in Multi-Data Center System Based on Multi-Agent Deep Reinforcement Learning41
A Lightweight and Fine-grained Ciphertext Search Scheme for Big Data Assisted by Proxy Servers41
Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks40
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra39
Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications38
Efficient Distributed Approaches to Core Maintenance on Large Dynamic Graphs37
A Runtime and Non-Intrusive Approach to Optimize EDP by Tuning Threads and CPU Frequency for OpenMP Applications37
HybRAID: A High-Performance Hybrid RAID Storage Architecture for Write-Intensive Applications in All-Flash Storage Systems35
Flexible and Efficient Memory Swapping Across Mobile Devices With LegoSwap35
Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning35
Optimal Convex Hull Formation on a Grid by Asynchronous Robots With Lights34
FedVeca: Federated Vectorized Averaging on Non-IID Data With Adaptive Bi-Directional Global Objective34
DePo: Dynamically Offload Expensive Event Processing to the Edge of Cyber-Physical Systems34
HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction34
SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor33
Liberator: A Data Reuse Framework for Out-of-Memory Graph Computing on GPUs33
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging33
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University33
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation33
HiTDL: High-Throughput Deep Learning Inference at the Hybrid Mobile Edge32
VCSR: An Efficient GPU Memory-Aware Sparse Format32
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization32
An Efficient Algorithm for Hamiltonian Path Embedding of $k$-Ary $n$-Cubes under the Partitioned Edge Fault Model32
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems31
A Survey of Storage Systems in the RDMA Era31
Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems31
Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment31
GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning30
EESaver: Saving Energy Dynamically for Green Multi-Access Edge Computing30
Cost-Efficient Server Configuration and Placement for Mobile Edge Computing29
Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis29
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms29
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems29
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism29
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation29
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems28
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters28
gIM: GPU Accelerated RIS-Based Influence Maximization Algorithm28
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers28
Accelerated Information Dissemination for Replica Selection in Distributed Key-Value Store Systems28
Efficient Methods for Mapping Neural Machine Translator on FPGAs28
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds27
Optimization of Reactive Force Field Simulation: Refactor, Parallelization, and Vectorization for Interactions26
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs26
Timed Loops for Distributed Storage in Wireless Networks26
Predicting Throughput of Distributed Stochastic Gradient Descent26
A Practical Framework for Secure Document Retrieval in Encrypted Cloud File Systems26
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University26
NetSHa: In-Network Acceleration of LSH-Based Distributed Search26
Revisiting PM-Based B-Tree With Persistent CPU Cache25
Distributed Adaptive Consensus Tracking Control for Multi-Agent System With Communication Constraints25
Graphite: Hardware-Aware GNN Reshaping for Acceleration With GPU Tensor Cores25
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization25
Toward Load-Balanced Redundancy Transitioning for Erasure-Coded Storage25
A High-Throughput FPGA Accelerator for Short-Read Mapping of the Whole Human Genome25
A GPU Acceleration Framework for Motif and Discord Based Pattern Mining25
Necessary Feasibility Analysis for Mixed-Criticality Real-Time Embedded Systems25
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs25
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints24
Improving Fairness for SSD Devices through DRAM Over-Provisioning Cache Management24
LOCUS: User-Perceived Delay-Aware Service Placement and User Allocation in MEC Environment24
FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing24
Microservice Deployment in Edge Computing Based on Deep Q Learning24
Parallel and Distributed Bayesian Network Structure Learning24
Deadline and Reliability Aware Multiserver Configuration Optimization for Maximizing Profit24
Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection24
Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization24
Dynamic GPU Energy Optimization for Machine Learning Training Workloads23
Monte: SFCs Migration Scheme in the Distributed Programmable Data Plane23
MRCN: Throughput-Oriented Multicast Routing for Customized Network-on-Chips23
Understanding the Impact of Data Staging for Coupled Scientific Workflows23
HI-Kyber: A Novel High-Performance Implementation Scheme of Kyber Based on GPU23
CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework With Low Communication Overhead23
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid23
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training23
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems23
Estuary: A Low Cross-Shard Blockchain Sharding Protocol Based on State Splitting22
A Machine-Learning-Based Framework for Productive Locality Exploitation22
UFC2: User-Friendly Collaborative Cloud22
ETICA: Efficient Two-Level I/O Caching Architecture for Virtualized Platforms22
Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds22
Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach22
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning22
Content Collaborative Caching Strategy in the Edge Maintenance of Communication Network: A Joint Download Delay and Energy Consumption Method22
Propagation Pattern for Moment Representation of the Lattice Boltzmann Method21
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs21
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion21
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation21
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis21
YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve21
VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems20
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks20
Online Pricing and Trading of Private Data in Correlated Queries20
On Mixing Eventual and Strong Consistency: Acute Cloud Types20
Increasing the Efficiency of Massively Parallel Sparse Matrix-Matrix Multiplication in First-Principles Calculation on the New-Generation Sunway Supercomputer20
On Model Transmission Strategies in Federated Learning With Lossy Communications20
RADAR: A Skew-Resistant and Hotness-Aware Ordered Index Design for Processing-in-Memory Systems20
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations20
Ocelot: An Interactive, Efficient Distributed Compression-As-a-Service Platform With Optimized Data Compression Techniques19
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From Peking University19
SmartTuning: Selecting Hyper-Parameters of a ConvNet System for Fast Training and Small Working Memory19
Cost-Effective Server Deployment for Multi-Access Edge Networks: A Cooperative Scheme19
On the Analysis of Cache Invalidation With LRU Replacement19
Scaling Poisson Solvers on Many Cores via MMEwald19
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University19
The State of the Art of Metadata Managements in Large-Scale Distributed File Systems — Scalability, Performance and Availability19
Repurposing GPU Microarchitectures with Light-Weight Out-Of-Order Execution19
LOFS: A Lightweight Online File Storage Strategy for Effective Data Deduplication at Network Edge19
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters18
FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks18
Co-Concurrency Mechanism for Multi-GPUs in Distributed Heterogeneous Environments18
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators18
CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs18
Floating Point Calculation of the Cube Function on FPGAs18
Accurate Differentially Private Deep Learning on the Edge18
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore18
PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation18
Gamora: Learning-Based Buffer-Aware Preloading for Adaptive Short Video Streaming18
GPABE: GPU-Based Parallelization Framework for Attribute-Based Encryption Schemes18
Guest Editorial:Special Section on SC22 Student Cluster Competition18
An Unequal Caching Strategy for Shared-Memory Graph Analytics18
Adaptive Vertical Federated Learning on Unbalanced Features18
Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks17
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service17
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism17
Privacy Preserving Task Push in Spatial Crowdsourcing With Unknown Popularity17
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System17
Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump17
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression17
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning17
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading17
Cooperative Scheduling Schemes for Explainable DNN Acceleration in Satellite Image Analysis and Retraining17
IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing17
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication17
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems17
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework17
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From ETH Zürich17
FLUPS - A Flexible and Performant Massively Parallel Fourier Transform Library16
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs16
PhaST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory16
Near-Lossless MPI Tracing and Proxy Application Autogeneration16
Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility16
Cost-Effective and Low-Latency Data Placement in Edge Environment Based on PageRank-Inspired Regional Value16
Synergistically Rebalancing the EDP of Container-Based Parallel Applications16
Shuffle Differential Private Data Aggregation for Random Population16
The Doctrine of MEAN: Realizing Deduplication Storage at Unreliable Edge16
Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing16
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration16
Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks15
CPLNS: Cooperative Parallel Large Neighborhood Search for Large-Scale Multi-Agent Path Finding15
Accelerating Communication-Efficient Federated Multi-Task Learning With Personalization and Fairness15
Retrospecting Available CPU Resources: SMT-Aware Scheduling to Prevent SLA Violations in Data Centers15
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework15
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing15
Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks15
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems15
Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems15
Loci: Federated Continual Learning of Heterogeneous Tasks at Edge15
MoltDB: Accelerating Blockchain via Ancient State Segregation15
A Native Tensor–Vector Multiplication Algorithm for High Performance Computing14
Hypergraph-Based Numerical Neural-Like P Systems for Medical Image Segmentation14
Toward Materials Genome Big-Data: A Blockchain-Based Secure Storage and Efficient Retrieval Method14
SLO-Aware Function Placement for Serverless Workflows With Layer-Wise Memory Sharing14
Guest Editorial14
Deep Neural Network Training With Distributed K-FAC14
μBench: An Open-Source Factory of Benchmark Microservice Applications14
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing14
Evaluating Data Redistribution in PaRSEC14
Detailed Modeling of Heterogeneous and Contention-Constrained Point-to-Point MPI Communication14
Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live Streaming14
e-PoS: Making Proof-of-Stake Decentralized and Fair14
A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties14
A Practical and Efficient Bidirectional Access Control Scheme for Cloud-Edge Data Sharing13
ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge13
Revenue Maximizing Online Service Function Chain Deployment in Multi-Tier Computing Network13
A Resource-Efficient Predictive Resource Provisioning System in Cloud Systems13
Scalable Deep Reinforcement Learning-Based Online Routing for Multi-Type Service Requirements13
Landlord: Coordinating Dynamic Software Environments to Reduce Container Sprawl13
Node Essentiality Assessment and Distributed Collaborative Virtual Network Embedding in Datacenters13
FRATO: Fog Resource Based Adaptive Task Offloading for Delay-Minimizing IoT Service Provisioning13
Real-Time Scheduling of Parallel Task Graphs With Critical Sections Across Different Vertices13
ABSE: Adaptive Baseline Score-based Election for Leader-based BFT Systems13
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