IEEE Transactions on Parallel and Distributed Systems

Article	Citations
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Tsinghua University	379
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications	261
H5Intent: Autotuning HDF5 With User Intent	252
Replicated Versioned Data Structures for Wide-Area Distributed Systems	201
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information	190
Online Container Caching for IoT Data Processing in Serverless Edge Computing	174
Optimizing Data Locality by Integrating Intermediate Data Partitioning and Reduce Task Scheduling in Spark Framework	174
Enabling Large Scale Simulations for Particle Accelerators	124
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System	120
An Efficient Bottleneck Planes Exclusion Method for Reconfiguring 3D VLSI Arrays	120
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization	113
Design and Implementation of 2D Convolution on x86/x64 Processors	112
AWB+-Tree: A Novel Width-Based Index Structure Supporting Hybrid Matching for Large-Scale Content-Based Pub/Sub Systems	103
IRHunter: Universal Detection of Instruction Reordering Vulnerabilities for Enhanced Concurrency in Distributed and Parallel Systems	97
Building High-throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine	96
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training	96
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement	94
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach	94
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity	92
Federated Learning With Nesterov Accelerated Gradient	88
Mapping Large-Scale Spiking Neural Network on Arbitrary Meshed Neuromorphic Hardware	86
Large-Scale Neural Network Quantum States Calculation for Quantum Chemistry on a New Sunway Supercomputer	86
Fully Decentralized Data Distribution for Large-Scale HPC Systems	82
QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing	82
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations	79

GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds	78
RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications	76
Graph-Centric Performance Analysis for Large-Scale Parallel Applications	75
BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription	75
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats	74
Cannikin: No Lagger of SLO in Concurrent Multiple LoRA LLM Serving	73
PreTrans: Enabling Efficient CGRA Multi-Task Context Switch Through Config Pre-Mapping and Data Transceiving	70
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory	69
Efficient and Automated Deployment Architecture for OpenStack in TianHe SuperComputing Environment	67
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems	66
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms	64
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration	64
Scalable Hybrid Learning Techniques for Scientific Data Compression	61
DyLaClass: Dynamic Labeling Based Classification for Optimal Sparse Matrix Format Selection in Accelerating SpMV	61
Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications	60
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads	59
PHIDE: A Parallel Hybrid Direct–Iterative Eigensolver for Hermitian Eigenvalue Problems	59
A Pessimistic Fault Diagnosability of Large-Scale Connected Networks via Extra Connectivity	59
Building Accurate and Interpretable Online Classifiers on Edge Devices	59
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud	58
Improving the Scalability of GPU Synchronization Primitives	58
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning	57
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems	56
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network	55
Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization	55
Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning	52
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment	52
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration	52
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks	51
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation	50
A Lightweight and Fine-Grained Ciphertext Search Scheme for Big Data Assisted by Proxy Servers	50
Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets	49
AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF	49
HashCache: Accelerating Serverless Computing by Skipping Duplicated Function Execution	48
SSRAID: A Stripe-Queued and Stripe-Threaded Merging I/O Strategy to Improve Write Performance of Serial Interface SSD RAID	48
DynPipe: Toward Dynamic End-to-End Pipeline Parallelism for Interference-Aware DNN Training	47
iBalancer: Load-Aware in-Server Flow Scheduling for Sub-Millisecond Tail Latency	47
Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications	47
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From the University of Texas at Austin	46
2024 Reviewers List*	45
Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions	45
Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation	44
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication	43
SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle	43
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra	42
Efficient Distributed Approaches to Core Maintenance on Large Dynamic Graphs	42
Distributed Discrete Morse Sandwich: Efficient Computation of Persistence Diagrams for Massive Scalar Data	41
Two-Timescale Joint Optimization of Task Scheduling and Resource Scaling in Multi-Data Center System Based on Multi-Agent Deep Reinforcement Learning	41
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training	41
Scalable, Confidential and Survivable Software Updates	41

Congestion Control for Datacenter Networks: A Control-Theoretic Approach	41
Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning	40
Libfork: Portable Continuation-Stealing With Stackless Coroutines	40
HybRAID: A High-Performance Hybrid RAID Storage Architecture for Write-Intensive Applications in All-Flash Storage Systems	39
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University	39
FedVeca: Federated Vectorized Averaging on Non-IID Data With Adaptive Bi-Directional Global Objective	39
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks	39
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization	38
Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems	38
Optimal Convex Hull Formation on a Grid by Asynchronous Robots With Lights	38
A Survey of Storage Systems in the RDMA Era	37
HiTDL: High-Throughput Deep Learning Inference at the Hybrid Mobile Edge	36
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters	36
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms	36
VCSR: An Efficient GPU Memory-Aware Sparse Format	36
Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis	36
Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs	35
An Efficient Algorithm for Hamiltonian Path Embedding of $k$-Ary $n$-Cubes under the Partitioned Edge Fault Model	35
Flexible and Efficient Memory Swapping Across Mobile Devices With LegoSwap	34
SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor	34
EESaver: Saving Energy Dynamically for Green Multi-Access Edge Computing	34
DePo: Dynamically Offload Expensive Event Processing to the Edge of Cyber-Physical Systems	34
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems	33
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging	33
HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction	33
Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment	33
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers	32
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism	32
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation	32
Cost-Efficient Server Configuration and Placement for Mobile Edge Computing	32
Optimizing Management of Persistent Data Structures in High-Performance Analytics	31
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems	31
Liberator: A Data Reuse Framework for Out-of-Memory Graph Computing on GPUs	31
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems	31
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation	31
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University	30
Timed Loops for Distributed Storage in Wireless Networks	30
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization	30
Doing More With Less: Balancing Probing Costs and Task Offloading Efficiency At the Network Edge	30
Necessary Feasibility Analysis for Mixed-Criticality Real-Time Embedded Systems	29
Predicting Throughput of Distributed Stochastic Gradient Descent	29
Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection	29
Parallel and Distributed Bayesian Network Structure Learning	29
NetSHa: In-Network Acceleration of LSH-Based Distributed Search	29
Accelerated Information Dissemination for Replica Selection in Distributed Key-Value Store Systems	29
Revisiting PM-Based B-Tree With Persistent CPU Cache	29
HI-Kyber: A Novel High-Performance Implementation Scheme of Kyber Based on GPU	29
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs	29
A Practical Framework for Secure Document Retrieval in Encrypted Cloud File Systems	28
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints	28
Toward Load-Balanced Redundancy Transitioning for Erasure-Coded Storage	28
Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization	28
Optimization of Reactive Force Field Simulation: Refactor, Parallelization, and Vectorization for Interactions	28
Understanding the Impact of Data Staging for Coupled Scientific Workflows	27
Graphite: Hardware-Aware GNN Reshaping for Acceleration With GPU Tensor Cores	27
Improving Fairness for SSD Devices through DRAM Over-Provisioning Cache Management	27
Deadline and Reliability Aware Multiserver Configuration Optimization for Maximizing Profit	27
FEditor: Consecutive Task Placement With Adjustable Shapes Using FPGA State Frames	27
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds	27
Microservice Deployment in Edge Computing Based on Deep Q Learning	26
LOCUS: User-Perceived Delay-Aware Service Placement and User Allocation in MEC Environment	26
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid	26
Dynamic GPU Energy Optimization for Machine Learning Training Workloads	26
FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing	26
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training	26
Propagation Pattern for Moment Representation of the Lattice Boltzmann Method	25
Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds	25
EDTC: Exact Triangle Counting for Dynamic Graphs on GPU	25
RADAR: A Skew-Resistant and Hotness-Aware Ordered Index Design for Processing-in-Memory Systems	25
Ocelot: An Interactive, Efficient Distributed Compression-As-a-Service Platform With Optimized Data Compression Techniques	25
Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections	25
CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework With Low Communication Overhead	25
UFC2: User-Friendly Collaborative Cloud	25
Increasing the Efficiency of Massively Parallel Sparse Matrix-Matrix Multiplication in First-Principles Calculation on the New-Generation Sunway Supercomputer	25
Critique of “Data Flow Lifecycles for Optimizing Workflow Coordination” by SCC Team From National Tsing Hua University	25
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs	25
Multi-Agent Collaboration for Workflow Task Offloading in End-Edge-Cloud Environments Using Deep Reinforcement Learning	25
The State of the Art of Metadata Managements in Large-Scale Distributed File Systems — Scalability, Performance and Availability	24
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations	24
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems	24

On Model Transmission Strategies in Federated Learning With Lossy Communications	24
Content Collaborative Caching Strategy in the Edge Maintenance of Communication Network: A Joint Download Delay and Energy Consumption Method	24
On the Analysis of Cache Invalidation With LRU Replacement	24
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation	24
Monte: SFCs Migration Scheme in the Distributed Programmable Data Plane	24
VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems	24
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion	23
Online Pricing and Trading of Private Data in Correlated Queries	23
MRCN: Throughput-Oriented Multicast Routing for Customized Network-on-Chips	23
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis	23
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks	23
Cost-Effective Server Deployment for Multi-Access Edge Networks: A Cooperative Scheme	23
On Mixing Eventual and Strong Consistency: Acute Cloud Types	23
Estuary: A Low Cross-Shard Blockchain Sharding Protocol Based on State Splitting	23
High Performance OpenCL-Based GEMM Kernel Auto-Tuned by Bayesian Optimization	22
CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs	22
RPCE: Dynamic Data Replicas Placement Management by Cloud and Edge Collaboration	22
Scaling Poisson Solvers on Many Cores via MMEwald	22
Gamora: Learning-Based Buffer-Aware Preloading for Adaptive Short Video Streaming	22
Floating Point Calculation of the Cube Function on FPGAs	22
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University	22
NDP: Network Division Positioning for Irregular Multi-Hop Networks	22
Guest Editorial:Special Section on SC22 Student Cluster Competition	22
Repurposing GPU Microarchitectures with Light-Weight Out-Of-Order Execution	21
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning	21
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore	21
GPABE: GPU-Based Parallelization Framework for Attribute-Based Encryption Schemes	21
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework	21
Cache Partition Management for Improving Fairness and I/O Responsiveness in NVMe SSDs	20
IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing	20
Co-Concurrency Mechanism for Multi-GPUs in Distributed Heterogeneous Environments	20
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading	20
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System	20
FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks	20
LOFS: A Lightweight Online File Storage Strategy for Effective Data Deduplication at Network Edge	20
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters	19
MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR	19
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression	19
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators	19
PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation	19
Adaptive Vertical Federated Learning on Unbalanced Features	19
Cost-Effective Empirical Performance Modeling	18
m2LLM: A Multi-Dimensional Optimization Framework for LLM Inference on Mobile Devices	18
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From ETH Zürich	18
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication	18
Improved Methods of Task Assignment and Resource Allocation With Preemption in Edge Computing Systems	18
An Unequal Caching Strategy for Shared-Memory Graph Analytics	18
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs	18
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems	18
Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump	18
Cooperative Scheduling Schemes for Explainable DNN Acceleration in Satellite Image Analysis and Retraining	18
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems	18
FLUPS - A Flexible and Performant Massively Parallel Fourier Transform Library	17
Near-Lossless MPI Tracing and Proxy Application Autogeneration	17
Privacy Preserving Task Push in Spatial Crowdsourcing With Unknown Popularity	17
CPLNS: Cooperative Parallel Large Neighborhood Search for Large-Scale Multi-Agent Path Finding	17
Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks	17
PhaST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory	17
MemTunnel: A CXL-Based Rack-Scale Host Memory Pooling Architecture for Cloud Service	17
Cost-Effective and Low-Latency Data Placement in Edge Environment Based on PageRank-Inspired Regional Value	17
Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems	17
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism	17
Shuffle Differential Private Data Aggregation for Random Population	17
The Doctrine of MEAN: Realizing Deduplication Storage at Unreliable Edge	17
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration	17
Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing	17
Synergistically Rebalancing the EDP of Container-Based Parallel Applications	17
Loci: Federated Continual Learning of Heterogeneous Tasks at Edge	16
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing	16
Accelerating Half-Precision Seismic Simulation on Neural Processing Unit	16
A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties	16
Accelerating Communication-Efficient Federated Multi-Task Learning With Personalization and Fairness	16
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework	16
Retrospecting Available CPU Resources: SMT-Aware Scheduling to Prevent SLA Violations in Data Centers	16
Scheduling Fork-Joins With Communication Delays and Equal Processing Times on Heterogeneous Processors	16
Rethinking Virtual Machines Live Migration for Memory Disaggregation	16
Guest Editorial	16
A Non-Intrusive Multi-objective Task Scheduling Method for JointCloud Environment	16
GAP-DCCS: A Generic Acceleration Paradigm for Data-Intensive Applications With Efficient Data Compression and Caching Strategy Over CPU-GPU Clusters	16
Accelerating Restarted GMRES With Mixed Precision Arithmetic	16
SLO-Aware Function Placement for Serverless Workflows With Layer-Wise Memory Sharing	15
MoltDB: Accelerating Blockchain via Ancient State Segregation	15
FEUAGame: Fairness-Aware Edge User Allocation for App Vendors	15
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing	15
ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge	15
An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor	15
Hypergraph-Based Numerical Neural-Like P Systems for Medical Image Segmentation	15
A Native Tensor–Vector Multiplication Algorithm for High Performance Computing	15
Fast Post-Hoc Normalization for Brain Inspired Sparse Coding on a Neuromorphic Device	14
ABSE: Adaptive Baseline Score-Based Election for Leader-Based BFT Systems	14
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm	14
Real-Time Scheduling of Parallel Task Graphs With Critical Sections Across Different Vertices	14
Coordinated Batching and DVFS for DNN Inference on GPU Accelerators	14
Landlord: Coordinating Dynamic Software Environments to Reduce Container Sprawl	14
μBench: An Open-Source Factory of Benchmark Microservice Applications	14