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	289
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications	227
Design and Implementation of 2D Convolution on x86/x64 Processors	222
Replicated Versioned Data Structures for Wide-Area Distributed Systems	173
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information	161
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations	146
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach	144
An Efficient Bottleneck Planes Exclusion Method for Reconfiguring 3D VLSI Arrays	106
H5Intent: Autotuning HDF5 With User Intent	105
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds	98
IRHunter: Universal Detection of Instruction Reordering Vulnerabilities for Enhanced Concurrency in Distributed and Parallel Systems	92
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement	92
AWB+-Tree: A Novel Width-Based Index Structure Supporting Hybrid Matching for Large-Scale Content-Based Pub/Sub Systems	86
Federated Learning With Nesterov Accelerated Gradient	84
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity	84
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization	83
QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing	83
Joint Task Scheduling and Containerizing for Efficient Edge Computing	82
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System	79
Building High-throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine	79
Enabling Large Scale Simulations for Particle Accelerators	77
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training	75
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation	71
Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization	70
Graph-Centric Performance Analysis for Large-Scale Parallel Applications	70

Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From University of Washington	70
Burst Load Evacuation Based on Dispatching and Scheduling In Distributed Edge Networks	69
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network	67
A Pessimistic Fault Diagnosability of Large-Scale Connected Networks via Extra Connectivity	67
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems	66
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment	64
Building Accurate and Interpretable Online Classifiers on Edge Devices	63
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads	63
DyLaClass: Dynamic Labeling Based Classification for Optimal Sparse Matrix Format Selection in Accelerating SpMV	63
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms	62
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats	59
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks	59
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory	58
Improved MPC Algorithms for Edit Distance and Ulam Distance	58
BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription	56
AESM2 Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems	55
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration	55
RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications	55
Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications	54
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning	53
Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning	53
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration	53
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud	52
Efficient and Automated Deployment Architecture for OpenStack in TianHe SuperComputing Environment	50
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation	50
Improving the Scalability of GPU Synchronization Primitives	50
Libfork: Portable Continuation-Stealing With Stackless Coroutines	49
A Lightweight and Fine-Grained Ciphertext Search Scheme for Big Data Assisted by Proxy Servers	49
Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation	49
Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning	47
Scalable, Confidential and Survivable Software Updates	47
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra	46
Efficient Distributed Approaches to Core Maintenance on Large Dynamic Graphs	45
AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF	44
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels	44
Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets	43
SSRAID: A Stripe-Queued and Stripe-Threaded Merging I/O Strategy to Improve Write Performance of Serial Interface SSD RAID	42
iBalancer: Load-Aware in-Server Flow Scheduling for Sub-Millisecond Tail Latency	41
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From the University of Texas at Austin	41
2024 Reviewers List*	40
Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions	40
Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications	39
Two-Timescale Joint Optimization of Task Scheduling and Resource Scaling in Multi-Data Center System Based on Multi-Agent Deep Reinforcement Learning	39
HashCache: Accelerating Serverless Computing by Skipping Duplicated Function Execution	38
Silhouette: Efficient Cloud Configuration Exploration for Large-Scale Analytics	38
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication	37
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training	37
SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle	37
FedVeca: Federated Vectorized Averaging on Non-IID Data With Adaptive Bi-Directional Global Objective	36
Congestion Control for Datacenter Networks: A Control-Theoretic Approach	36

HybRAID: A High-Performance Hybrid RAID Storage Architecture for Write-Intensive Applications in All-Flash Storage Systems	36
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks	36
Flexible and Efficient Memory Swapping Across Mobile Devices With LegoSwap	36
Optimal Convex Hull Formation on a Grid by Asynchronous Robots With Lights	35
DePo: Dynamically Offload Expensive Event Processing to the Edge of Cyber-Physical Systems	35
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University	34
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems	34
SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor	34
HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction	33
Liberator: A Data Reuse Framework for Out-of-Memory Graph Computing on GPUs	33
HiTDL: High-Throughput Deep Learning Inference at the Hybrid Mobile Edge	33
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging	33
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization	32
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism	32
An Efficient Algorithm for Hamiltonian Path Embedding of $k$-Ary $n$-Cubes under the Partitioned Edge Fault Model	32
Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems	32
VCSR: An Efficient GPU Memory-Aware Sparse Format	32
Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment	31
GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning	31
A Survey of Storage Systems in the RDMA Era	31
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms	31
Cost-Efficient Server Configuration and Placement for Mobile Edge Computing	30
Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis	30
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation	30
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters	30
EESaver: Saving Energy Dynamically for Green Multi-Access Edge Computing	29
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems	29
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation	29
Understanding the Impact of Data Staging for Coupled Scientific Workflows	28
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems	28
NetSHa: In-Network Acceleration of LSH-Based Distributed Search	28
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers	28
Accelerated Information Dissemination for Replica Selection in Distributed Key-Value Store Systems	28
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid	27
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University	27
Optimization of Reactive Force Field Simulation: Refactor, Parallelization, and Vectorization for Interactions	27
Predicting Throughput of Distributed Stochastic Gradient Descent	27
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints	27
Microservice Deployment in Edge Computing Based on Deep Q Learning	27
Timed Loops for Distributed Storage in Wireless Networks	27
A Practical Framework for Secure Document Retrieval in Encrypted Cloud File Systems	26
Necessary Feasibility Analysis for Mixed-Criticality Real-Time Embedded Systems	26
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds	26
FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing	26
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs	26
A GPU Acceleration Framework for Motif and Discord Based Pattern Mining	26
gIM: GPU Accelerated RIS-Based Influence Maximization Algorithm	26
Toward Load-Balanced Redundancy Transitioning for Erasure-Coded Storage	25
Graphite: Hardware-Aware GNN Reshaping for Acceleration With GPU Tensor Cores	25
Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization	25
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization	25
Deadline and Reliability Aware Multiserver Configuration Optimization for Maximizing Profit	25
Improving Fairness for SSD Devices through DRAM Over-Provisioning Cache Management	25
Parallel and Distributed Bayesian Network Structure Learning	25
Dynamic GPU Energy Optimization for Machine Learning Training Workloads	25
Revisiting PM-Based B-Tree With Persistent CPU Cache	24
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs	24
LOCUS: User-Perceived Delay-Aware Service Placement and User Allocation in MEC Environment	24
Doing More with Less: Balancing Probing Costs and Task Offloading Efficiency at the Network Edge	24
HI-Kyber: A Novel High-Performance Implementation Scheme of Kyber Based on GPU	24
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training	23
UFC2: User-Friendly Collaborative Cloud	23
CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework With Low Communication Overhead	23
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems	23
Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection	23
Monte: SFCs Migration Scheme in the Distributed Programmable Data Plane	23
Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds	22
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation	22
Propagation Pattern for Moment Representation of the Lattice Boltzmann Method	22
On the Analysis of Cache Invalidation With LRU Replacement	22
MRCN: Throughput-Oriented Multicast Routing for Customized Network-on-Chips	22
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks	22
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations	22
On Mixing Eventual and Strong Consistency: Acute Cloud Types	22
Content Collaborative Caching Strategy in the Edge Maintenance of Communication Network: A Joint Download Delay and Energy Consumption Method	22
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion	22
ETICA: Efficient Two-Level I/O Caching Architecture for Virtualized Platforms	22
Ocelot: An Interactive, Efficient Distributed Compression-As-a-Service Platform With Optimized Data Compression Techniques	22
Increasing the Efficiency of Massively Parallel Sparse Matrix-Matrix Multiplication in First-Principles Calculation on the New-Generation Sunway Supercomputer	21
Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections	21

Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis	21
The State of the Art of Metadata Managements in Large-Scale Distributed File Systems — Scalability, Performance and Availability	21
YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve	21
Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs	21
Online Pricing and Trading of Private Data in Correlated Queries	21
On Model Transmission Strategies in Federated Learning With Lossy Communications	21
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning	21
RADAR: A Skew-Resistant and Hotness-Aware Ordered Index Design for Processing-in-Memory Systems	21
VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems	21
Gamora: Learning-Based Buffer-Aware Preloading for Adaptive Short Video Streaming	20
LOFS: A Lightweight Online File Storage Strategy for Effective Data Deduplication at Network Edge	20
FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks	20
Floating Point Calculation of the Cube Function on FPGAs	20
Cost-Effective Server Deployment for Multi-Access Edge Networks: A Cooperative Scheme	20
Scaling Poisson Solvers on Many Cores via MMEwald	20
CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs	20
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University	20
Estuary: A Low Cross-Shard Blockchain Sharding Protocol Based on State Splitting	20
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From Peking University	20
Co-Concurrency Mechanism for Multi-GPUs in Distributed Heterogeneous Environments	19
IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing	19
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems	19
Accurate Differentially Private Deep Learning on the Edge	19
An Unequal Caching Strategy for Shared-Memory Graph Analytics	19
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore	19
Guest Editorial:Special Section on SC22 Student Cluster Competition	19
Repurposing GPU Microarchitectures with Light-Weight Out-Of-Order Execution	19
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication	19
Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump	19
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning	18
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework	18
PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation	18
GPABE: GPU-Based Parallelization Framework for Attribute-Based Encryption Schemes	18
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators	18
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression	18
m2LLM: A Multi-Dimensional Optimization Framework for LLM Inference on Mobile Devices	18
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service	18
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters	18
High Performance OpenCL-based GEMM Kernel Auto-tuned by Bayesian Optimization	18
Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks	17
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System	17
FLUPS - A Flexible and Performant Massively Parallel Fourier Transform Library	17
Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing	17
PhaST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory	17
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading	17
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism	17
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From ETH Zürich	17
Synergistically Rebalancing the EDP of Container-Based Parallel Applications	17
Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility	17
Adaptive Vertical Federated Learning on Unbalanced Features	17
Cooperative Scheduling Schemes for Explainable DNN Acceleration in Satellite Image Analysis and Retraining	17
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs	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	16
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework	16
Near-Lossless MPI Tracing and Proxy Application Autogeneration	16
Shuffle Differential Private Data Aggregation for Random Population	16
Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems	16
Cost-Effective and Low-Latency Data Placement in Edge Environment Based on PageRank-Inspired Regional Value	16
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing	16
The Doctrine of MEAN: Realizing Deduplication Storage at Unreliable Edge	16
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems	16
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration	16
Privacy Preserving Task Push in Spatial Crowdsourcing With Unknown Popularity	16
Evaluating Data Redistribution in PaRSEC	15
A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties	15
Retrospecting Available CPU Resources: SMT-Aware Scheduling to Prevent SLA Violations in Data Centers	15
Guest Editorial	15
Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks	15
SLO-Aware Function Placement for Serverless Workflows With Layer-Wise Memory Sharing	15
Detailed Modeling of Heterogeneous and Contention-Constrained Point-to-Point MPI Communication	15
MoltDB: Accelerating Blockchain via Ancient State Segregation	15
A Native Tensor–Vector Multiplication Algorithm for High Performance Computing	14
ABSE: Adaptive Baseline Score-Based Election for Leader-Based BFT Systems	14
Accelerating Communication-Efficient Federated Multi-Task Learning With Personalization and Fairness	14
Hypergraph-Based Numerical Neural-Like P Systems for Medical Image Segmentation	14
Coordinated Batching and DVFS for DNN Inference on GPU Accelerators	14
Deep Neural Network Training With Distributed K-FAC	14
Energy Efficient and Multi-Resource Optimization for Virtual Machine Placement by Improving MOEA/D	14
An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor	14
Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live Streaming	14
e-PoS: Making Proof-of-Stake Decentralized and Fair	14
Toward Materials Genome Big-Data: A Blockchain-Based Secure Storage and Efficient Retrieval Method	14
Accelerating Restarted GMRES With Mixed Precision Arithmetic	14
A Resource-Efficient Predictive Resource Provisioning System in Cloud Systems	14
A Practical and Efficient Bidirectional Access Control Scheme for Cloud-Edge Data Sharing	13
Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach	13
Work-Stealing Prefix Scan: Addressing Load Imbalance in Large-Scale Image Registration	13
Real-Time Scheduling of Parallel Task Graphs With Critical Sections Across Different Vertices	13
Editor's Note	13
Hierarchical Reinforcement Learning with Partner Modeling for Distributed Multi-agent Cooperation	13
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing	13
Landlord: Coordinating Dynamic Software Environments to Reduce Container Sprawl	13
Near-Zero Downtime Recovery From Transient-Error-Induced Crashes	13
ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge	13