AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Distributed Linear Programming on GPU Clusters at Extreme Scale
SHARDLP is presented, a distributed GPU LP solver that keeps the matrix and primal-dual state partitioned from sharded input through solution output and reaches the published criterion on nine of eleven instances, on the Google PDLP benchmark.
ID-PaS+: Identity-Aware Predict-and-Search for Solving General Mixed-Integer Linear Programs
This work extends the current Predict-and-Search (PaS) framework to parametric general MIPs and introduces ID-PaS+, an identity-aware learning framework that enables the ML model to handle heterogeneous variables more effectively.