Latest Research in Parallel Computing and Optimization Techniques

Top Research Topics in Parallel Computing and Optimization Techniques

• Distributed, Parallel, and Cluster Computing — 7 papers
• Parallel Computing and Optimization Techniques — 3 papers
• Personal Information Management and User Behavior — 3 papers
• Machine Learning — 2 papers
• Hardware Architecture — 2 papers
• Networking and Internet Architecture — 2 papers
• Adversarial Robustness in Machine Learning — 1 papers
• Advanced Clustering Algorithms Research — 1 papers
• Emerging Technologies — 1 papers
• Security and Verification in Computing — 1 papers

Highest-Cited Papers

1. Future-Obligation-Aware Workload Admission for Coupled Compute-Thermal Infrastructure: A Resource-Liability and Downstream-Closure Control Framework for High-Density AI Computing
2. Sketching the Error, Not the Product: Post Hoc Fault Recovery for Half Precision GPU Matrix Multiplication
3. P-GADMM: Parallel Group-Based ADMM for Asynchronous Optimization in Heterogeneous Edge Networks
4. Edgecluster: an evolving data stream clustering at the edge
5. Hybrid Feedback-Guided Optimal Learning for Wireless Interactive Panoramic Scene Delivery
6. Trillion-Parameter MoE in a Box: Decoupling Memory Provisioning with High-Bandwidth Flash
7. VCSRT extended page table assisted virtual memory mapping framework for efficient dynamic resource allocation in industrial edge virtualized runtimes
8. From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers
9. ASTRA: Low-Overhead Runtime Architecture for STReam Adaptation in Video Analytics
10. REACH: Controller-Managed Long-Span ECC for HBM AI Inference
11. WPR/WPA in Practice — A Primer on Investigating "the Whole PC Is Slow" Across the Entire System (archived 2026-09-08)
12. Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management
13. Hardware-Assisted Spatial Memory Safety for Shared GPU Accelerators: A Pointer Tagging Co-Design with Analytical and Synthesis-Level Evaluation
14. TransLearn: Representing and Comparing Transformer Architectures in a Free Categorical Framework
15. TransLearn: Representing and Comparing Transformer Architectures in a Free Categorical Framework
16. Structural Entropy-Driven Graph Diffusion Generation for One-Shot Federated Graph Learning
17. CarDroid: Container-Based Architecture for Graphic-Intensive Tasks in Automotive Cockpits
18. RASER: Resilient Agent Scheduling and Execution Runtime for HPC Clusters
19. THz-SynC: Collective Synthesis with Contextual-Bandit-Assisted Coordination for Reconfigurable Hybrid Optical-THz AI Datacenters
20. Iapetus: Content-Aware Hierarchical Scheduling for Collaborative ViT Inference in LEO Satellite Networks