6 skills found
milankl / StochasticRounding.jlUp or down? Maybe both?
AmericanPresidentJimmyCarter / Adamw Bf16AdamW for bfloat16 weights with stochastic rounding
north-numerical-computing / Stochastic Rounding EvaluationSource code for the numerical experiments with stochastic rounding.
dmaust / RoundingStochastic Rounding
north-numerical-computing / SrtoolboxMATLAB toolbox for stochastically rounded elementary arithmetic operations in IEEE 754 floating-point arithmetic.
ChrisYZZ / CADA MasterStochastic gradient descent (SGD) has taken the stage as the primary workhorse for large-scale machine learning. It is often used with its adaptive variants such as AdaGrad, Adam, and AMSGrad. This paper proposes an adaptive stochastic gradient descent method for distributed machine learning, which can be viewed as the communication-adaptive counterpart of the celebrated Adam method - justifying its name CADA. The key components of CADA are a set of new rules tailored for adaptive stochastic gradients that can be implemented to save communication upload. The new algorithms adaptively reuse the stale Adam gradients, thus saving communication, and still have convergence rates comparable to original Adam. In numerical experiments, CADA achieves impressive empirical performance in terms of total communication round reduction.
