Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
Abstractions as the Foundation for Storage Infrastructure John MacCormick, Nick Murphy, Marc Najork, Chandramohan A. Thekkath, and Lidong Zhou Microsoft Research Silicon Valley Wr...
John MacCormick, Nick Murphy, Marc Najork, Chandra...
We present design and implementation details as well as performance results for two new parallel checkpointing libraries developed by us for parallel MPI applications. The first o...
Abstract. Ever-increasing demand for computing capability is driving the construction of ever-larger computer clusters, soon to be reaching tens of thousands of processors. Many fu...
This paper describes performance tuning experiences with a three-dimensional unstructured grid Euler flow code from NASA, which we have reimplemented in the PETSc framework and p...
William Gropp, Dinesh K. Kaushik, David E. Keyes, ...