OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Parallel and Distributed Systems is 52. 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 2021-05-01 to 2025-05-01.)

Article	Citations
2020 Reviewers List	300
Enabling Large Scale Simulations for Particle Accelerators	264
Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Tsinghua University	219
Building High-throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine	203
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications	196
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity	159
Design and Implementation of 2D Convolution on x86/x64 Processors	154
Replicated Versioned Data Structures for Wide-Area Distributed Systems	149
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information	128
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training	128
An Efficient Bottleneck Planes Exclusion Method for Reconfiguring 3D VLSI Arrays	124
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations	113
H5Intent: Autotuning HDF5 With User Intent	105
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach	102
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System	97
On the Message Complexity of Fault-Tolerant Computation: Leader Election and Agreement	93
QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing	91
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds	87
IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems	85
AW B ⁺-Tree: a Novel Width-based Index Structure Supporting Hybrid Matching for Large-scale Content-based Pub/Sub Systems	81
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization	80
Joint Task Scheduling and Containerizing for Efficient Edge Computing	80
Federated Learning With Nesterov Accelerated Gradient	77
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation	77
A Case for Pricing Bandwidth: Sharing Datacenter Networks With Cost Dominant Fairness	76

Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud	76
Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network	74
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From University of Washington	74
Graph-Centric Performance Analysis for Large-Scale Parallel Applications	72
Securing Fine-Grained Data Sharing and Erasure in Outsourced Storage Systems	71
Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning	69
Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization	66
A Pessimistic Fault Diagnosability of Large-Scale Connected Networks via Extra Connectivity	64
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration	64
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning	62
Efficient and Automated Deployment Architecture for OpenStack in TianHe SuperComputing Environment	62
DyLaClass: Dynamic Labeling Based Classification for Optimal Sparse Matrix Format Selection in Accelerating SpMV	62
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads	62
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms	61
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration	60
Improving the Scalability of GPU Synchronization Primitives	59
Burst Load Evacuation Based on Dispatching and Scheduling In Distributed Edge Networks	59
Asynchronous Algorithms for Decentralized Resource Allocation Over Directed Networks	59
BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription	58
Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats	57
Improved MPC Algorithms for Edit Distance and Ulam Distance	57
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment	56
Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications	55
AESM² Attribute-Based Encrypted Search for Multi-Owner and Multi-User Distributed Systems	54
Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation	53
Efficient Distributed Approaches to Core Maintenance on Large Dynamic Graphs	53
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training	52
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation	52