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pro vyhledávání: '"Daniel Reiter Horn"'
Autor:
Tim Foley, Ian Buck, Pat Hanrahan, Kayvon Fatahalian, Daniel Reiter Horn, Jeremy Sugerman, Mike Houston
Publikováno v:
ACM Transactions on Graphics. 23:777-786
In this paper, we present Brook for GPUs, a system for general-purpose computation on programmable graphics hardware. Brook extends C to include simple data-parallel constructs, enabling the use of the GPU as a streaming co-processor. We present a co
Publikováno v:
SI3D
Over the past few years, the powerful computation rates and high memory bandwidth of GPUs have attracted efforts to run raytracing on GPUs. Our work extends Foley et al.'s GPU k-d tree research. We port their kd-restart algorithm from multi-pass, usi
Autor:
Daniel Reiter Horn, Billy Chen
Publikováno v:
SI3D
Light fields can be used to represent an object's appearance with a high degree of realism. However, unlike their geometric counterparts, these image-based representations lack user control for manipulating them. We present a system that allows a use
Autor:
Ji Young Park, William J. Dally, Larkhoon Leem, Pat Hanrahan, Kayvon Fatahalian, Timothy James Knight, Alex Aiken, Mike Houston, Daniel Reiter Horn, Manman Ren, Mattan Erez
Publikováno v:
SC
We present Sequoia, a programming language designed to facilitate the development of memory hierarchy aware parallel programs that remain portable across modern machines featuring different memory hierarchy configurations. Sequoia abstractly exposes
Publikováno v:
SC
The proliferation of biological sequence data has motivated the need for an extremely fast probabilistic sequence search. One method for performing this search involves evaluating the Viterbi probability of a hidden Markov model (HMM) of a desired se