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2. High-Performance Distributed Computing with Smartphones
3. PyDaskShift: Automatically Convert Loop-Based Sequential Programs to Distributed Parallel Programs
4. Otsu Segmentation and Deep Learning Models for the Detection of Melanoma
5. EOCSim: A CloudSim-Based Simulator for Earth Observation Data Processing in Clouds
6. Efficiently Distributed Federated Learning
7. Distributed System for Scientific and Engineering Computations with Problem Containerization and Prioritization
8. Comparative Analysis of Digitalization Efficiency Estimation Methods Using Desktop Grid
9. Workflows of the High-Throughput Virtual Screening as a Service
10. Grid-Based Contraction Clustering in a Peer-to-Peer Network
11. Benchmarking DAG Scheduling Algorithms on Scientific Workflow Instances
12. Stragglers in Distributed Matrix Multiplication
13. Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans
14. Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data
15. BOINC-Based Volunteer Computing Projects: Dynamics and Statistics
16. Optimization of the Workflow in a BOINC-Based Desktop Grid for Virtual Drug Screening
17. Distributed Computing for Gene Network Expansion in R Environment
18. Desktop Grid as a Service Concept
19. Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources
20. Distributed Artificial Intelligent Model Training and Evaluation
21. Distributed Computing of R Applications Using RBOINC Package with Applications to Parallel Discrete Event Simulation
22. Fabrication of Energy Potent Data Centre Using Energy Efficiency Metrics
23. ScholatAna: Big Data-Based Academic Social Network User Behavior Preference System
24. Toward Crowdsourced Drug Discovery: Start-Up of the Volunteer Computing Project SiDock@home
25. Challenges and Decisions in WOBCompute Design, a P2P Computing System Architecture
26. Volunteer Computing Project SiDock@home for Virtual Drug Screening Against SARS-CoV-2
27. Experiments Using a Software-Distributed Shared Memory, MPI and 0MQ over Heterogeneous Computing Resources
28. Cloud-Edge Microservice Architecture for DNN-based Distributed Multimedia Event Processing
29. Comparison of Different Smoothing Methods for Initial Data of the DSN-PC Sensor Network
30. Running Many-Task Applications Across Multiple Resources with Everest Platform
31. FLY: A Domain-Specific Language for Scientific Computing on FaaS
32. A Process Calculus for Formally Verifying Blockchain Consensus Protocols
33. Data Provenance Based System for Classification and Linear Regression in Distributed Machine Learning
34. Computing Load Distribution by Using Peer-to-Peer Network
35. Availability-Based Resources Allocation Algorithms in Distributed Computing
36. Algorithm for Numerical Simulation of the Coastal Bottom Relief Dynamics Using High-Performance Computing
37. Challenges in Distributed MLPerf
38. Active-Code Replacement in the OODIDA Data Analytics Platform
39. High-Performance Solution of the Two-Class SVM Problem for Big Data Sets by the Mean Decision Rule Method
40. Using Resources of Supercomputing Centers with Everest Platform
41. Categorical Features Transformation with Compact One-Hot Encoder for Fraud Detection in Distributed Environment
42. Investigation of a Hybrid Sensor- and Computational Network for Numerical Weather Prediction Calculations
43. Supporting Efficient Execution of Workflows on Everest Platform
44. Hybrid Elastic ARM&Cloud HPC Collaborative Platform for Generic Tasks
45. The Multi-level Adaptive Approach for Efficient Execution of Multi-scale Distributed Applications with Dynamic Workload
46. BOINC-Based Branch-and-Bound
47. Dependable and Coordinated Resources Allocation Algorithms for Distributed Computing
48. Random Convolutional Neural Network Based on Distributed Computing with Decentralized Architecture
49. Mutual Visibility by Asynchronous Robots on Infinite Grid
50. Organization and Protection on the Basis of a Multi-agent System of Distributed Computing in a Computer Network to Reduce the Time for Solving Large-Scale Tasks
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