CYCLADES speeds up machine learning with conflict-free asynchronous updates.
problem Improving parallel stochastic optimization in shared memory systems.
method Asynchronous parallelization without memory locking, introducing conflict-free updates.
result Consistently outperforms HOGWILD!-type algorithms, achieving up to 5x speedup gains.