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cs.DC2026★ 3 cited
ALPHA-PIM: Analysis of Linear Algebraic Processing for High-Performance Graph Applications on a Real Processing-In-Memory System
Marzieh Barkhordar, Alireza Tabatabaeian, Mohammad Sadrosadati +5
Processing large-scale graph datasets is computationally intensive and time-consuming. Processor-centric CPU and GPU architectures, commonly used for graph applications, often face…
cs.DC2025★ 1 cited
Faster Vertex Cover Algorithms on GPUs with Component-Aware Parallel Branching
Hussein Amro, Basel Fakhri, Amer E. Mouawad +1
Algorithms for finding minimum or bounded vertex covers in graphs use a branch-and-reduce strategy, which involves exploring a highly imbalanced search tree. Prior GPU solutions as…
cs.DC2025
PruneX: A Hierarchical Communication-Efficient System for Distributed CNN Training with Structured Pruning
Alireza Olama, Andreas Lundell, Izzat El Hajj +2
Inter-node communication bandwidth increasingly constrains distributed training at scale on multi-node GPU clusters. While compact models are the ultimate deployment target, conven…