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 2022-08-01 to 2026-08-01.)
ArticleCitations
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Tsinghua University209
Design and Implementation of 2D Convolution on x86/x64 Processors208
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach163
H5Intent: Autotuning HDF5 With User Intent150
AWB+-Tree: A Novel Width-Based Index Structure Supporting Hybrid Matching for Large-Scale Content-Based Pub/Sub Systems143
fPIM: A Holistic Design to Optimize PIM Data Flow for High Execution Efficiency124
Fully Decentralized Data Distribution for Large-Scale HPC Systems119
Mapping Large-Scale Spiking Neural Network on Arbitrary Meshed Neuromorphic Hardware118
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training114
Replicated Versioned Data Structures for Wide-Area Distributed Systems110
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement109
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System103
mtGEMM: An Efficient GEMM Library for Modern Multi-Core DSPs100
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications99
Large-Scale Neural Network Quantum States Calculation for Quantum Chemistry on a New Sunway Supercomputer90
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information89
UniOrch: A Unified Mixed Framework for High-Efficiency LLM Training on Heterogeneous AI Chips86
Bal-DGCN: A Hardware Acceleration Framework for Balanced Computational Efficiency in DGCNs85
Optimizing Data Locality by Integrating Intermediate Data Partitioning and Reduce Task Scheduling in Spark Framework84
Decentralized Federated Learning With Period Gradient Tracking Over Time-Varying Networks79
Federated Learning With Nesterov Accelerated Gradient78
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations78
Enabling Large Scale Simulations for Particle Accelerators76
IRHunter: Universal Detection of Instruction Reordering Vulnerabilities for Enhanced Concurrency in Distributed and Parallel Systems74
ComStar: Compression-Aware Stream Query for Heterogeneous Hybrid Architecture72
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds71
QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing70
Online Container Caching for IoT Data Processing in Serverless Edge Computing69
An Efficient Bottleneck Planes Exclusion Method for Reconfiguring 3D VLSI Arrays67
Sparsity-Aware Fault Tolerance for Reliable CNN Inference on GPUs67
RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications66
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity66
DyLaClass: Dynamic Labeling Based Classification for Optimal Sparse Matrix Format Selection in Accelerating SpMV65
HarmonyCache: Scalable In-Network Cache With Read-Write Separation65
PHIDE: A Parallel Hybrid Direct–Iterative Eigensolver for Hermitian Eigenvalue Problems63
On the Performance of SMASH: A Non-Preemptive Window-Based Scheduler for Multiserver Jobs63
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats62
BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription62
Graph-Centric Performance Analysis for Large-Scale Parallel Applications62
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration60
Scalable Hybrid Learning Techniques for Scientific Data Compression59
Efficient and Automated Deployment Architecture for OpenStack in TianHe SuperComputing Environment58
Building Accurate and Interpretable Online Classifiers on Edge Devices56
Cannikin: No Lagger of SLO in Concurrent Multiple LoRA LLM Serving55
PreTrans: Enabling Efficient CGRA Multi-Task Context Switch Through Config Pre-Mapping and Data Transceiving54
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems54
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud53
Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization52
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory52
Adaptive Image Batching and Slicing in Edge Networks for Delay-Critical Small Object Detection51
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network51
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning50
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads49
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms49
Improving the Scalability of GPU Synchronization Primitives49
MAX-SM: High-Utilization Dynamic SM Partitioning for Heterogeneous Workloads on Multitasking Chiplet-Based GPUs49
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks49
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems47
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration47
Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications47
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation46
Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning46
Congestion Control for Datacenter Networks: A Control-Theoretic Approach45
Do Not Forget the Role of Address Mapping Policy in Achieving DRAM-Less SSD Performance44
cuFastTuckerPlusTC: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores43
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks43
A Lightweight and Fine-Grained Ciphertext Search Scheme for Big Data Assisted by Proxy Servers42
Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions42
Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning42
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From the University of Texas at Austin42
2024 Reviewers List*41
SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle40
Libfork: Portable Continuation-Stealing With Stackless Coroutines40
HashCache: Accelerating Serverless Computing by Skipping Duplicated Function Execution40
Two-Timescale Joint Optimization of Task Scheduling and Resource Scaling in Multi-Data Center System Based on Multi-Agent Deep Reinforcement Learning40
Floe : Federated Specialization for Real-Time LLM–SLM Inference40
AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF40
Distributed Discrete Morse Sandwich: Efficient Computation of Persistence Diagrams for Massive Scalar Data39
Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets39
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra38
iBalancer: Load-Aware in-Server Flow Scheduling for Sub-Millisecond Tail Latency38
DynPipe: Toward Dynamic End-to-End Pipeline Parallelism for Interference-Aware DNN Training38
Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications38
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University37
SSRAID: A Stripe-Queued and Stripe-Threaded Merging I/O Strategy to Improve Write Performance of Serial Interface SSD RAID37
DePo: Dynamically Offload Expensive Event Processing to the Edge of Cyber-Physical Systems36
FedVeca: Federated Vectorized Averaging on Non-IID Data With Adaptive Bi-Directional Global Objective36
Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems36
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers35
VCSR: An Efficient GPU Memory-Aware Sparse Format35
Flexible and Efficient Memory Swapping Across Mobile Devices With LegoSwap35
Optimal Convex Hull Formation on a Grid by Asynchronous Robots With Lights35
Optimizing Management of Persistent Data Structures in High-Performance Analytics34
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation34
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
HiTDL: High-Throughput Deep Learning Inference at the Hybrid Mobile Edge34
A Rescheduling Mechanism for Cloud Data Centers Leveraging Dynamic Fault-Tolerant Classification34
Liberator: A Data Reuse Framework for Out-of-Memory Graph Computing on GPUs33
Improving the Restore Performance of Fine-Grained Deduplication on Docker Container Image Storage33
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation33
Cost-Efficient Server Configuration and Placement for Mobile Edge Computing32
Scalable and Efficient Reinforcement Learning for Virtual Machine Rescheduling in Cloud Data Centers32
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters32
HybRAID: A High-Performance Hybrid RAID Storage Architecture for Write-Intensive Applications in All-Flash Storage Systems32
Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs31
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms31
LHRS-LTW: A Load-Aware Hybrid-Cloud Resource Scheduling Framework for Large-Scale Training Workloads31
An Efficient Algorithm for Hamiltonian Path Embedding of $k$-Ary $n$-Cubes under the Partitioned Edge Fault Model30
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism30
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems30
A Survey of Storage Systems in the RDMA Era29
Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment29
EESaver: Saving Energy Dynamically for Green Multi-Access Edge Computing29
Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis29
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems28
SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor28
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University28
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training28
FEditor: Consecutive Task Placement With Adjustable Shapes Using FPGA State Frames28
Predicting Throughput of Distributed Stochastic Gradient Descent28
Deadline and Reliability Aware Multiserver Configuration Optimization for Maximizing Profit27
Doing More With Less: Balancing Probing Costs and Task Offloading Efficiency At the Network Edge27
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs27
Accelerated Information Dissemination for Replica Selection in Distributed Key-Value Store Systems26
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds25
NetSHa: In-Network Acceleration of LSH-Based Distributed Search25
Graphite: Hardware-Aware GNN Reshaping for Acceleration With GPU Tensor Cores25
Parallel and Distributed Bayesian Network Structure Learning25
Toward Load-Balanced Redundancy Transitioning for Erasure-Coded Storage25
Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization25
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints25
Revisiting PM-Based B-Tree With Persistent CPU Cache25
Styx: An Efficient Workflow Engine for Serverless Platforms25
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization25
FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing24
Understanding the Impact of Data Staging for Coupled Scientific Workflows24
Improving Fairness for SSD Devices through DRAM Over-Provisioning Cache Management24
HI-Kyber: A Novel High-Performance Implementation Scheme of Kyber Based on GPU24
Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection24
UFC2: User-Friendly Collaborative Cloud23
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion23
Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds23
CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework With Low Communication Overhead23
Critique of “Data Flow Lifecycles for Optimizing Workflow Coordination” by SCC Team From National Tsing Hua University23
Fed-Grow: Federating to Grow Transformers for Resource-Constrained Users Without Model Sharing23
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid23
Ocelot: An Interactive, Efficient Distributed Compression-As-a-Service Platform With Optimized Data Compression Techniques23
RADAR: A Skew-Resistant and Hotness-Aware Ordered Index Design for Processing-in-Memory Systems23
Content Collaborative Caching Strategy in the Edge Maintenance of Communication Network: A Joint Download Delay and Energy Consumption Method22
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation22
Increasing the Efficiency of Massively Parallel Sparse Matrix-Matrix Multiplication in First-Principles Calculation on the New-Generation Sunway Supercomputer22
Monte: SFCs Migration Scheme in the Distributed Programmable Data Plane22
EDTC: Exact Triangle Counting for Dynamic Graphs on GPU22
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs22
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks21
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems21
Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections21
Cost-Effective Server Deployment for Multi-Access Edge Networks: A Cooperative Scheme21
SWGOMP: Extending OpenMP for Efficient Offloading on Sunway Heterogeneous Architecture21
Estuary: A Low Cross-Shard Blockchain Sharding Protocol Based on State Splitting21
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis20
On Model Transmission Strategies in Federated Learning With Lossy Communications20
MRCN: Throughput-Oriented Multicast Routing for Customized Network-on-Chips20
Multi-Agent Collaboration for Workflow Task Offloading in End-Edge-Cloud Environments Using Deep Reinforcement Learning20
The State of the Art of Metadata Managements in Large-Scale Distributed File Systems — Scalability, Performance and Availability19
Guest Editorial:Special Section on SC22 Student Cluster Competition19
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations19
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University19
Cost-Effective Empirical Performance Modeling18
NDP: Network Division Positioning for Irregular Multi-Hop Networks18
Cache Partition Management for Improving Fairness and I/O Responsiveness in NVMe SSDs18
Improved Methods of Task Assignment and Resource Allocation With Preemption in Edge Computing Systems18
MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR18
Floating Point Calculation of the Cube Function on FPGAs18
Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump18
Enabling Tile-Based Direct Query on Adaptively Compressed Data With GPU Acceleration18
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore18
GPABE: GPU-Based Parallelization Framework for Attribute-Based Encryption Schemes18
PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation18
Scaling Poisson Solvers on Many Cores via MMEwald17
m2LLM: A Multi-Dimensional Optimization Framework for LLM Inference on Mobile Devices17
Concurrent and Orthogonal Software Power Meters for Accurate Runtime Energy Profiling of Parallel Hybrid Programs on Heterogeneous Hybrid Servers17
Adaptive Vertical Federated Learning on Unbalanced Features17
IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing17
CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs17
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication17
An Unequal Caching Strategy for Shared-Memory Graph Analytics17
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems17
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework17
FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks17
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning17
High Performance OpenCL-Based GEMM Kernel Auto-Tuned by Bayesian Optimization17
Co-Concurrency Mechanism for Multi-GPUs in Distributed Heterogeneous Environments17
RPCE: Dynamic Data Replicas Placement Management by Cloud and Edge Collaboration17
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators17
Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing16
LOFS: A Lightweight Online File Storage Strategy for Effective Data Deduplication at Network Edge16
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From ETH Zürich16
Synergistically Rebalancing the EDP of Container-Based Parallel Applications16
FLUPS - A Flexible and Performant Massively Parallel Fourier Transform Library16
The Doctrine of MEAN: Realizing Deduplication Storage at Unreliable Edge16
Gamora: Learning-Based Buffer-Aware Preloading for Adaptive Short Video Streaming16
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading16
Shuffle Differential Private Data Aggregation for Random Population16
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs16
Applications and Challenges of Multi-Core Scheduling in Intelligent Automotive Systems16
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression16
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System16
MemTunnel: A CXL-Based Rack-Scale Host Memory Pooling Architecture for Cloud Service16
Privacy Preserving Task Push in Spatial Crowdsourcing With Unknown Popularity16
Texplorer: Efficient Tensor Program Optimization for GPUs Using a Highly Constrained Search Space16
A 590-Nanosecond 757-Gbps FPGA Lossy Compressed Network15
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration15
PhaST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory15
Arcus: Fast and Reliable Function State I/O for Serverless Computing with Log-Cache Co-Design15
Based on Tensor Core Sparse Kernels Accelerating Deep Neural Networks15
Retrospecting Available CPU Resources: SMT-Aware Scheduling to Prevent SLA Violations in Data Centers15
Near-Lossless MPI Tracing and Proxy Application Autogeneration15
Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks15
Cost-Effective and Low-Latency Data Placement in Edge Environment Based on PageRank-Inspired Regional Value15
Guest Editorial15
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework15
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism15
CPLNS: Cooperative Parallel Large Neighborhood Search for Large-Scale Multi-Agent Path Finding15
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems15
Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks14
GAP-DCCS: A Generic Acceleration Paradigm for Data-Intensive Applications With Efficient Data Compression and Caching Strategy Over CPU-GPU Clusters14
Loci: Federated Continual Learning of Heterogeneous Tasks at Edge14
Scheduling Fork-Joins With Communication Delays and Equal Processing Times on Heterogeneous Processors14
A Native Tensor–Vector Multiplication Algorithm for High Performance Computing14
Deep Neural Network Training With Distributed K-FAC14
MoltDB: Accelerating Blockchain via Ancient State Segregation14
A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties14
Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live Streaming14
Accelerating Half-Precision Seismic Simulation on Neural Processing Unit14
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