Distributed, Parallel, and Cluster Computing

GPU-Accelerated Conic Quadratic Programming with Local Linear Convergence under Strict Complementarity

PDHCG-CQP extends GPU-accelerated first-order optimization to conic quadratic programs, with local linear convergence guarantees and multi-GPU execution.

Aug 10, 2026

A Curvature-Aware Rank-Adaptive Distributed Augmented-Lagrangian Solver for Large-Scale SDPs

Jul 20, 2026