2 papers
cs.DC2025
From GPUs to RRAMs: Distributed In-Memory Primal-Dual Hybrid Gradient Method for Solving Large-Scale Linear Optimization Problem
Huynh Q. N. Vo, Md Tawsif Rahman Chowdhury, Paritosh Ramanan +4
The exponential growth of computational workloads is surpassing the capabilities of conventional architectures, which are constrained by fundamental limits. In-memory computing (IM…
cs.LG2024
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps
Junchi Yang, Murat Yildirim, Qiu Feng
In distributed machine learning, efficient training across multiple agents with different data distributions poses significant challenges. Even with a centralized coordinator, curr…