May 31, 2016 · Abstract:We present CYCLADES, a general framework for parallelizing stochastic optimization algorithms in a shared memory setting.

We present Cyclades, a general framework for parallelizing stochastic optimization algorithms in a shared memory setting. Cyclades is asynchronous during model ...

Conflict-free Asynchronous Machine Learning ... In this work, we present CYCLADES, a general framework for lock-free, asynchronous machine ... model used by [17]: ...

This paper proposes a general framework for parallelizing stochastic optimization algorithms, namely CYCLADES. This algorithm essentially follows the serial ...

Oct 4, 2016 · Yeah, I'm not understanding how it guarantees conflict free graphs either. Anyone care to chime in?

This work presents CYCLADES, a general framework for parallelizing stochastic optimization algorithms in a shared memory setting that consistently ...

Conflict-free Asynchronous Machine Learning ... In this work, we present CYCLADES, a general framework for lock-free, asynchronous machine ... model used by [17]: ...

May 31, 2016 · Abstract. We present CYCLADES, a general framework for parallelizing stochastic optimization algorithms in a shared memory setting.

Dec 5, 2016 · We present CYCLADES, a general framework for parallelizing stochastic optimization algorithms in a shared memory setting.

Oct 4, 2016 · Today's paper introduces Cyclades, a system for speeding up machine learning on a single NUMA node. In the evaluation, the authors used NUMA ...