Author

Zhi-Guang Chen

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Preprint Oct 2026

OACM: Optimistic Asynchronous Communication Model for Large-Scale SNN Simulation

Spiking Neural Network (SNN) simulation serves as a crucial tool for understanding brain dynamics and advancing neuromorphic computing, but faces significant scalability challenges in large-scale distributed implementations. The primary bottlenecks arise from frequent synchronization overhead in time-driven simulators...

Guang-Nan Feng, Yang-Le Zeng, Hong Liang et al. · 0 citations

Preprint Sep 2026

CerebroSim: Scalable Whole-Brain Simulator at 100-Trillion-Synapse Scale on the LineShine Supercomputer

CerebroSim, a scalable framework for whole-brain simulation that combines Delay-aware Spike Broadcast for aggregated delay-aware communication, Race-free Synaptic Dynamics Computation for lock/atomic-free multithreaded delivery with HBM-aware optimization, and Sparse Synapse Storage Compression for compact indexing wit...

Guang-Nan Feng, Tianxiang Lyu, Hao Huang et al. · 0 citations

Open access Oct 2026

StrataJ: Enhancing File System Journaling Scalability via Adaptive Concurrency Control and Full-Stack Optimizations

The scalability of file system journaling faces significant challenges due to the increasing concurrency demands of modern multi-core CPUs and high throughput NVMe SSDs. However, our study reveals that the concurrency of journaling should be carefully adjusted to the workload, and the underlying I/O stack must be custo...

Zi-Yan Zhang, Yu-Bo Liu, Yong-Feng Wang et al. · ACM Transactions on Architec... · 0 citations