2 papers
cs.DC2026
Self-Evolving Distributed Memory Architecture for Scalable AI Systems
Zixuan Li, Chuanzhen Wang, Haotian Sun
Distributed AI systems face critical memory management challenges across computation, communication, and deployment layers. RRAM based in memory computing suffers from scalability…
cs.AR2026
Memory-Guided Unified Hardware Accelerator for Mixed-Precision Scientific Computing
Chuanzhen Wang, Leo Zhang, Eric Liu
Recent hardware acceleration advances have enabled powerful specialized accelerators for finite element computations, spiking neural network inference, and sparse tensor operations…