It is important to identify scalability constraints in existing job scheduling software as they are applied to next generation parallel systems. In this paper, we analyze the scala...
Norman Bobroff, Richard Coppinger, Liana Fong, See...
We present an adaptive work-stealing thread scheduler, ASTEAL, for fork-join multithreaded jobs, like those written using the Cilk multithreaded language or the Hood work-stealing...
Kunal Agrawal, Charles E. Leiserson, Yuxiong He, W...
Parallel machines are typically space shared, or time shared such that only one application executes on a group of nodes at any given time. It is generally assumed that executing ...
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...