cuhallar
A User Manual for cuHALLaR: A GPU Accelerated Low-Rank Semidefinite Programming Solver
Aguirre, Jacob, Cifuentes, Diego, Guigues, Vincent, Monteiro, Renato D. C., Nascimento, Victor Hugo, Sujanani, Arnesh
We present a Julia-based interface to the precompiled HALLaR and cuHALLaR binaries for large-scale semidefinite programs (SDPs). Both solvers are established as fast and numerically stable, and accept problem data in formats compatible with SDPA and a new enhanced data format taking advantage of Hybrid Sparse Low-Rank (HSLR) structure. The interface allows users to load custom data files, configure solver options, and execute experiments directly from Julia. A collection of example problems is included, including the SDP relaxations of the Matrix Completion and Maximum Stable Set problems.
2508.15951
Country:
- North America > United States > Georgia > Fulton County > Atlanta (0.14)
- South America > Brazil > Rio de Janeiro > Rio de Janeiro (0.04)
- Africa > Cabo Verde > Praia > Praia (0.04)
- (3 more...)
Technology:
- Information Technology > Artificial Intelligence (0.70)
- Information Technology > Hardware (0.51)