GPU / Washington Abstract 2 Google Inc. / Google / nVidia / Intel / Microsoft / /
Event
Person Communication and Meetings / /
Facility
University of Washington Animation Research Labs / Function Store / Minnesota Supercomputer Institute / Building Rome / store JpT / store Jc / University of Minnesota / University of Washington Abstract / /
IndustryTerm
internal memory access hardware / symmetric positive-definite linear systems / approach using simple matrix-vector products / computer vision algorithms / implicit-hessian algorithm / inexact step algorithms / dot product / matrix vector product / simpler matrix-vector products / multicore solutions / multicore systems / performance systems / multicore processors / convergent algorithm / pre-processing data normalization step / matrix-vector product / implicit-hessian and implicit-schur algorithms / matrix free algorithm / implicitschur algorithm / implicit-schur algorithms / bundle adjustment algorithms / computing / published systems / parallelizable matrixvector products / space efficient algorithms / matrix-free algorithms / /
OperatingSystem
Linux / /
Organization
University of Washington Abstract / University of Washington Animation Research Labs / National Science Foundation / Minnesota Supercomputer Institute / University of Minnesota / /
Person
Dc T Dc / V / Noah Snavely / Christopher Zach / /
Position
Venice Final Dubrovnik Final Single-thread Multi-thread GPU Speed CSR COO / COO / /
Multicore Bundle Adjustment Changchang Wu1 , Sameer Agarwal2 , Brian Curless1 , and Steven M. Seitz1,2 1 University of Washington