Slow Node

Slow nodes, or stragglers, represent a significant bottleneck in high-performance computing and distributed machine learning, hindering overall system efficiency and increasing computation time. Current research focuses on identifying and mitigating the impact of slow nodes through techniques like machine learning-based prediction and prioritization, optimized scheduling algorithms, and novel coding schemes that tolerate delays in computation. These efforts aim to improve the performance and scalability of large-scale systems, impacting diverse fields from supercomputing to distributed training of complex machine learning models.