Abstract. Memory models of shared memory concurrent programs define the values a read of a shared memory location is allowed to see. Such memory models are typically weaker than t...
Modern multi-core microprocessors implement weak memory consistency models; programming for these architectures is a challenge. This paper solves a problem open for ten years, and ...
Jade Alglave, Daniel Kroening, John Lugton, Vincen...
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
This paper studies realization and performance comparison of the sequential and weak consistency models in the network-on-chip (NoC) based distributed shared memory (DSM) multi-cor...
Abdul Naeem, Xiaowen Chen, Zhonghai Lu, Axel Jants...
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...