Thrust: A Productivity-Oriented Library for CUDA

By Nathan Bell, Jared Hoberock. 2012

497 citations recorded by the source corpus.

Subfields: Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/215ba41bcfb1b53084ab25bdfeb68bdea1df57c2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Hardware and Architecture

1. Junichi Yamagishi
2. Ali A. Dashti
3. Shinji Takaki
4. Xin Eric Wang
5. Ivan Komarov
6. Roshan M. D'Souza

Citations in the corpus

• Efficient Computation of k-Nearest Neighbour Graphs for Large High-Dimensional Data Sets on GPU Clusters (2013, methodology): “The second is an efficient implementation of the quick-select algorithm [6] by using latest GPU functionalities.”
• Neural Source-Filter Waveform Models for Statistical Parametric Speech Synthesis (2019, methodology): “Using the same toolkit allows us to fairly compare the models since they use the same set of low-level CUDA/THUST functionalities [58].”