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Yan Gu

Researcher at University of California, Riverside

Publications -  81
Citations -  1192

Yan Gu is an academic researcher from University of California, Riverside. The author has contributed to research in topics: Parallel algorithm & Computer science. The author has an hindex of 18, co-authored 58 publications receiving 848 citations. Previous affiliations of Yan Gu include Carnegie Mellon University & Tsinghua University.

Papers
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Journal ArticleDOI

Measurement of Direct-Photon Cross Section and Double-Helicity Asymmetry at sqrt[s]=510  GeV in p[over →]+p[over →] Collisions.

N. Abdulameer, +348 more
TL;DR: The author’s aim was to provide a chronology of events leading up to and including the publication of the book and some of the authors’ comments on the book, as well as to provide some background on the authors and their work.
Journal ArticleDOI

Scaling Graph-Based ANNS Algorithms to Billion-Size Datasets: A Comparative Analysis

TL;DR: In this article , the authors propose a set of principled measures for evaluating approximate nearest-neighbor search (ANNS) algorithms which refocuses on their scalability to billion-size datasets, including ability to be efficiently parallelized, build times, and scaling relationships as dataset size increases.
Journal ArticleDOI

Measurement of Direct-Photon Cross Section and Double-Helicity Asymmetry at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>510</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>GeV</mml:mi></

N. Abdulameer, +351 more
TL;DR: In this article , the cross section and double-helicity asymmetry of direct-photon production in p[over →]+p[over ] collisions at relativistic energies were measured with the PHENIX detector at the Relativistic Heavy Ion Collider.
Journal ArticleDOI

LuisaRender

TL;DR: LuisaRender as discussed by the authors is a C++-embedded DSL for kernel programming with JIT code generation and compilation, which achieves high-level constructs such as polymorphism, which adds complexity to developing and maintaining cross-platform high-performance renderers.