To enable efficient similarity search in large databases, many indexing techniques use a linear transformation scheme to reduce dimensions and allow fast approximation. In this re...
We present new algorithms on commodity graphics processors to perform fast computation of several common database operations. Specifically, we consider operations such as conjunct...
Naga K. Govindaraju, Brandon Lloyd, Wei Wang 0010,...
3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
— L1 data caches in high-performance processors continue to grow in set associativity. Higher associativity can significantly increase the cache energy consumption. Cache access...
Dan Nicolaescu, Babak Salamat, Alexander V. Veiden...