–Application of hardware-parameterized models to distributed systems can result in omission of key bottlenecks such as the full cost of inter- and intra-node communication in a c...
The application of hardware-parameterized models to distributed systems can result in omission of key bottlenecks such as the full cost of inter-node communication in a shared mem...
We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale w...
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,...
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
As cloud-based computation becomes increasingly important, providing a general computational interface to support datacenterscale programming has become an imperative research age...
Zhiqiang Ma, Zhonghua Sheng, Lin Gu, Liufei Wen, G...