Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
— As growing power dissipation and thermal effects disrupted the rising clock frequency trend and threatened to annul Moore’s law, the computing industry has switched its route...
The access patterns performed by disk-intensive applications vary widely, from simple contiguous reads or writes through an entire file to completely unpredictable random access....
Dennis Dalessandro, Ananth Devulapalli, Pete Wycko...
We propose an application specific processor for computational quantum chemistry. The kernel of interest is the computation of electron repulsion integrals (ERIs), which vary in c...
Tirath Ramdas, Gregory K. Egan, David Abramson, Ki...
As supercomputers are being built from an ever increasing number of processing elements, the effort required to achieve a substantial fraction of the system peak performance is con...