International Journal of Parallel Programming

Papers
(The TQCC of International Journal of Parallel Programming is 3. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices24
Lightweight Artificial Intelligence Technology for Health Diagnosis of Agriculture Vehicles: Parallel Evolving Artificial Neural Networks by Genetic Algorithm24
iGridEdgeDrone: Hybrid Mobility Aware Intelligent Load Forecasting by Edge Enabled Internet of Drone Things for Smart Grid Networks11
SkePU 3: Portable High-Level Programming of Heterogeneous Systems and HPC Clusters9
High-Level Parallel Ant Colony Optimization with Algorithmic Skeletons8
A Comparative Survey of Big Data Computing and HPC: From a Parallel Programming Model to a Cluster Architecture8
Dynamic Analysis Method for Concurrency Bugs in Multi-process/Multi-thread Environments8
TZmCFI: RTOS-Aware Control-Flow Integrity Using TrustZone for Armv8-M7
Location-based and Time-aware Service Recommendation in Mobile Edge Computing6
Refactoring GrPPI: Generic Refactoring for Generic Parallelism in C++5
Evaluation of Different Processor Architecture Organizations for On-Site Electronics in Harsh Environments5
Distributed-Memory FastFlow Building Blocks5
Fault-Tolerant and Unicast Performances of the Data Center Network HSDC5
Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming4
Handling Data Skew for Aggregation in Spark SQL Using Task Stealing4
Enabling Near-Data Accelerators Adoption by Through Investigation of Datapath Solutions4
Accelerating DES and AES Algorithms for a Heterogeneous Many-core Processor4
The Celerity High-level API: C++20 for Accelerator Clusters3
A Profile-Based AI-Assisted Dynamic Scheduling Approach for Heterogeneous Architectures3
Accelerating Computation of Steiner Trees on GPUs3
Memory-Optimized Wavefront Parallelism on GPUs3
Predicting the Soft Error Vulnerability of Parallel Applications Using Machine Learning3
Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL)3
High-performance Migration Tool for Live Container in a Workflow3
Statistical Analysis Based Intrusion Detection System for Ultra-High-Speed Software Defined Network3
Resource-Aware Data Parallel Array Processing3
Energy-Efficient Partial-Duplication Task Mapping Under Multiple DVFS Schemes3
RDMA-Based Apache Storm for High-Performance Stream Data Processing3
iDocChip: A Configurable Hardware Architecture for Historical Document Image Processing3
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