While training and inference of deep learning models have received significant attention in recent years (e.g., Tiresias, AlloX, and Salus from our group), hyperparamter tuning is often overlooked or put together in the same bucket of optimizations as training. Existing hyperparameter tuning solutions, primarily … Continue Reading ››

With the rising popularity of deep learning, the popularity of GPUs has increased in recent years. Modern GPUs are extremely powerful with a lot of resources. A key challenge in this context is making sure that these devices are highly utilized. Although there has been a lot of research on improving GPU efficiency … Continue Reading ››