In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
This paper addresses the issue of type safe algorithmic skeletons. From a theoretical perspective we contribute by: formally specifying a type system for algorithmic skeletons, an...
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
For many aspects of memory theoretical treatment already exists, in particular for: simple cache construction, store buers and store buer forwarding, cache coherence protocols, o...
Ulan Degenbaev, Wolfgang J. Paul, Norbert Schirmer
Experience has shown that development using shared-memory concurrency, the prevalent parallel programming paradigm today, is hard and synchronization primitives nonintuitive becaus...