IEEE Transactions on Parallel and Distributed Systems

Papers
(The TQCC of IEEE Transactions on Parallel and Distributed Systems is 14. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Tsinghua University204
Optimizing Data Locality by Integrating Intermediate Data Partitioning and Reduce Task Scheduling in Spark Framework192
Online Container Caching for IoT Data Processing in Serverless Edge Computing140
ComStar: Compression-Aware Stream Query for Heterogeneous Hybrid Architecture138
H5Intent: Autotuning HDF5 With User Intent134
Enabling Large Scale Simulations for Particle Accelerators129
Design and Implementation of 2D Convolution on x86/x64 Processors123
Federated Learning With Nesterov Accelerated Gradient112
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System112
Bal-DGCN: A Hardware Acceleration Framework for Balanced Computational Efficiency in Dynamic Graph Convolutional Networks (DGCNs)111
Decentralized Federated Learning with Period Gradient Tracking over Time-Varying Networks110
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement106
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information101
mtGEMM: An Efficient GEMM Library for Modern Multi-Core DSPs99
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications94
Large-Scale Neural Network Quantum States Calculation for Quantum Chemistry on a New Sunway Supercomputer94
IRHunter: Universal Detection of Instruction Reordering Vulnerabilities for Enhanced Concurrency in Distributed and Parallel Systems88
Mapping Large-Scale Spiking Neural Network on Arbitrary Meshed Neuromorphic Hardware87
QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing85
Fully Decentralized Data Distribution for Large-Scale HPC Systems85
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity84
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach84
An Efficient Bottleneck Planes Exclusion Method for Reconfiguring 3D VLSI Arrays82
fPIM: A Holistic Design to Optimize PIM Data Flow for High Execution Efficiency80
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds78
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training75
AWB+-Tree: A Novel Width-Based Index Structure Supporting Hybrid Matching for Large-Scale Content-Based Pub/Sub Systems72
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations71
Replicated Versioned Data Structures for Wide-Area Distributed Systems69
RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications68
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems67
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network66
On the Performance of SMASH: A Non-Preemptive Window-Based Scheduler for Multiserver Jobs66
Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization64
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks63
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning63
Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning62
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats61
BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription61
Efficient and Automated Deployment Architecture for OpenStack in TianHe SuperComputing Environment60
Scalable Hybrid Learning Techniques for Scientific Data Compression60
PHIDE: A Parallel Hybrid Direct–Iterative Eigensolver for Hermitian Eigenvalue Problems59
Building Accurate and Interpretable Online Classifiers on Edge Devices58
Graph-Centric Performance Analysis for Large-Scale Parallel Applications58
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems58
HarmonyCache: Scalable In-Network Cache With Read-Write Separation58
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration55
DyLaClass: Dynamic Labeling Based Classification for Optimal Sparse Matrix Format Selection in Accelerating SpMV55
Improving the Scalability of GPU Synchronization Primitives54
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud54
PreTrans: Enabling Efficient CGRA Multi-Task Context Switch Through Config Pre-Mapping and Data Transceiving54
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms53
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads52
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration51
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory49
Cannikin: No Lagger of SLO in Concurrent Multiple LoRA LLM Serving49
Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications49
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation48
AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF48
SSRAID: A Stripe-Queued and Stripe-Threaded Merging I/O Strategy to Improve Write Performance of Serial Interface SSD RAID48
DynPipe: Toward Dynamic End-to-End Pipeline Parallelism for Interference-Aware DNN Training47
HashCache: Accelerating Serverless Computing by Skipping Duplicated Function Execution47
cuFastTuckerPlusTC: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores46
Two-Timescale Joint Optimization of Task Scheduling and Resource Scaling in Multi-Data Center System Based on Multi-Agent Deep Reinforcement Learning46
Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning46
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From the University of Texas at Austin45
2024 Reviewers List*44
Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions44
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra43
Libfork: Portable Continuation-Stealing With Stackless Coroutines43
Distributed Discrete Morse Sandwich: Efficient Computation of Persistence Diagrams for Massive Scalar Data43
A Lightweight and Fine-Grained Ciphertext Search Scheme for Big Data Assisted by Proxy Servers42
Congestion Control for Datacenter Networks: A Control-Theoretic Approach42
Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation42
iBalancer: Load-Aware in-Server Flow Scheduling for Sub-Millisecond Tail Latency41
Floe: Federated Specialization for Real-Time LLM–SLM Inference40
Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets39
Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications39
SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle38
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks38
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University37
Flexible and Efficient Memory Swapping Across Mobile Devices With LegoSwap37
Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems37
DePo: Dynamically Offload Expensive Event Processing to the Edge of Cyber-Physical Systems36
Cost-Efficient Server Configuration and Placement for Mobile Edge Computing36
HybRAID: A High-Performance Hybrid RAID Storage Architecture for Write-Intensive Applications in All-Flash Storage Systems35
A Survey of Storage Systems in the RDMA Era35
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters35
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation35
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization34
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging34
Optimizing Management of Persistent Data Structures in High-Performance Analytics34
FedVeca: Federated Vectorized Averaging on Non-IID Data With Adaptive Bi-Directional Global Objective34
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms34
Optimal Convex Hull Formation on a Grid by Asynchronous Robots With Lights33
SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor33
Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment33
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism32
HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction32
An Efficient Algorithm for Hamiltonian Path Embedding of $k$-Ary $n$-Cubes under the Partitioned Edge Fault Model32
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers32
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems31
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems31
EESaver: Saving Energy Dynamically for Green Multi-Access Edge Computing31
Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs31
Liberator: A Data Reuse Framework for Out-of-Memory Graph Computing on GPUs31
Scalable and Efficient Reinforcement Learning for Virtual Machine Rescheduling in Cloud Data Centers31
VCSR: An Efficient GPU Memory-Aware Sparse Format31
Revisiting PM-Based B-Tree With Persistent CPU Cache30
Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis30
Graphite: Hardware-Aware GNN Reshaping for Acceleration With GPU Tensor Cores30
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University30
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation30
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints30
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems30
HiTDL: High-Throughput Deep Learning Inference at the Hybrid Mobile Edge30
Accelerated Information Dissemination for Replica Selection in Distributed Key-Value Store Systems29
Understanding the Impact of Data Staging for Coupled Scientific Workflows29
Improving Fairness for SSD Devices through DRAM Over-Provisioning Cache Management29
Toward Load-Balanced Redundancy Transitioning for Erasure-Coded Storage28
A Practical Framework for Secure Document Retrieval in Encrypted Cloud File Systems28
Deadline and Reliability Aware Multiserver Configuration Optimization for Maximizing Profit28
Parallel and Distributed Bayesian Network Structure Learning28
HI-Kyber: A Novel High-Performance Implementation Scheme of Kyber Based on GPU27
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training27
NetSHa: In-Network Acceleration of LSH-Based Distributed Search27
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
LOCUS: User-Perceived Delay-Aware Service Placement and User Allocation in MEC Environment26
Necessary Feasibility Analysis for Mixed-Criticality Real-Time Embedded Systems26
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid26
Predicting Throughput of Distributed Stochastic Gradient Descent26
Styx: An Efficient Workflow Engine for Serverless Platforms26
FEditor: Consecutive Task Placement With Adjustable Shapes Using FPGA State Frames25
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization25
Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization25
Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection25
FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing25
Critique of “Data Flow Lifecycles for Optimizing Workflow Coordination” by SCC Team From National Tsing Hua University24
UFC2: User-Friendly Collaborative Cloud24
Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds24
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds24
RADAR: A Skew-Resistant and Hotness-Aware Ordered Index Design for Processing-in-Memory Systems24
Ocelot: An Interactive, Efficient Distributed Compression-As-a-Service Platform With Optimized Data Compression Techniques23
EDTC: Exact Triangle Counting for Dynamic Graphs on GPU23
Increasing the Efficiency of Massively Parallel Sparse Matrix-Matrix Multiplication in First-Principles Calculation on the New-Generation Sunway Supercomputer23
Content Collaborative Caching Strategy in the Edge Maintenance of Communication Network: A Joint Download Delay and Energy Consumption Method23
Monte: SFCs Migration Scheme in the Distributed Programmable Data Plane23
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations22
Fed-Grow: Federating to Grow Transformers for Resource-Constrained Users Without Model Sharing22
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs22
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion22
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks22
Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections22
Multi-Agent Collaboration for Workflow Task Offloading in End-Edge-Cloud Environments Using Deep Reinforcement Learning21
Estuary: A Low Cross-Shard Blockchain Sharding Protocol Based on State Splitting21
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems21
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis21
CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework With Low Communication Overhead21
VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems21
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation21
On Mixing Eventual and Strong Consistency: Acute Cloud Types21
On Model Transmission Strategies in Federated Learning With Lossy Communications21
MRCN: Throughput-Oriented Multicast Routing for Customized Network-on-Chips21
CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs20
Cost-Effective Server Deployment for Multi-Access Edge Networks: A Cooperative Scheme20
NDP: Network Division Positioning for Irregular Multi-Hop Networks20
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University20
The State of the Art of Metadata Managements in Large-Scale Distributed File Systems — Scalability, Performance and Availability20
Guest Editorial:Special Section on SC22 Student Cluster Competition20
Scaling Poisson Solvers on Many Cores via MMEwald20
Concurrent and Orthogonal Software Power Meters for Accurate Runtime Energy Profiling of Parallel Hybrid Programs on Heterogeneous Hybrid Servers19
Cache Partition Management for Improving Fairness and I/O Responsiveness in NVMe SSDs19
High Performance OpenCL-Based GEMM Kernel Auto-Tuned by Bayesian Optimization19
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems19
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore19
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators19
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication19
Gamora: Learning-Based Buffer-Aware Preloading for Adaptive Short Video Streaming19
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning18
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression18
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System18
FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks18
Adaptive Vertical Federated Learning on Unbalanced Features18
GPABE: GPU-Based Parallelization Framework for Attribute-Based Encryption Schemes18
Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump17
IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing17
Improved Methods of Task Assignment and Resource Allocation With Preemption in Edge Computing Systems17
An Unequal Caching Strategy for Shared-Memory Graph Analytics17
RPCE: Dynamic Data Replicas Placement Management by Cloud and Edge Collaboration17
Co-Concurrency Mechanism for Multi-GPUs in Distributed Heterogeneous Environments17
MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR17
m2LLM: A Multi-Dimensional Optimization Framework for LLM Inference on Mobile Devices17
LOFS: A Lightweight Online File Storage Strategy for Effective Data Deduplication at Network Edge17
Floating Point Calculation of the Cube Function on FPGAs17
Cost-Effective Empirical Performance Modeling17
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework16
Enabling Tile-Based Direct Query on Adaptively Compressed Data With GPU Acceleration16
Based on Tensor Core Sparse Kernels Accelerating Deep Neural Networks16
Texplorer: Efficient Tensor Program Optimization for GPUs Using a Highly Constrained Search Space16
Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks16
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading16
Cooperative Scheduling Schemes for Explainable DNN Acceleration in Satellite Image Analysis and Retraining16
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework16
Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing16
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From ETH Zürich16
PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation16
MemTunnel: A CXL-Based Rack-Scale Host Memory Pooling Architecture for Cloud Service16
The Doctrine of MEAN: Realizing Deduplication Storage at Unreliable Edge16
Synergistically Rebalancing the EDP of Container-Based Parallel Applications16
Applications and Challenges of Multi-Core Scheduling in Intelligent Automotive Systems15
FLUPS - A Flexible and Performant Massively Parallel Fourier Transform Library15
Shuffle Differential Private Data Aggregation for Random Population15
CPLNS: Cooperative Parallel Large Neighborhood Search for Large-Scale Multi-Agent Path Finding15
Guest Editorial15
A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties15
Near-Lossless MPI Tracing and Proxy Application Autogeneration15
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs15
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems15
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing15
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism15
Retrospecting Available CPU Resources: SMT-Aware Scheduling to Prevent SLA Violations in Data Centers15
Scheduling Fork-Joins With Communication Delays and Equal Processing Times on Heterogeneous Processors15
Privacy Preserving Task Push in Spatial Crowdsourcing With Unknown Popularity15
Cost-Effective and Low-Latency Data Placement in Edge Environment Based on PageRank-Inspired Regional Value15
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration15
PhaST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory15
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
Accelerating Half-Precision Seismic Simulation on Neural Processing Unit14
Evaluating Data Redistribution in PaRSEC14
Detailed Modeling of Heterogeneous and Contention-Constrained Point-to-Point MPI Communication14
MoltDB: Accelerating Blockchain via Ancient State Segregation14
Deep Neural Network Training With Distributed K-FAC14
Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live Streaming14
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing14
A Resource-Efficient Predictive Resource Provisioning System in Cloud Systems14
Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks14
A 590-Nanosecond 757-Gbps FPGA Lossy Compressed Network14
Scalable Deep Reinforcement Learning-Based Online Routing for Multi-Type Service Requirements14
FEUAGame: Fairness-Aware Edge User Allocation for App Vendors14
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