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Aaron Lefohn
Researcher at Intel
Publications - 59
Citations - 7421
Aaron Lefohn is an academic researcher from Intel. The author has contributed to research in topics: Rendering (computer graphics) & Graphics hardware. The author has an hindex of 29, co-authored 56 publications receiving 7281 citations. Previous affiliations of Aaron Lefohn include Scientific Computing and Imaging Institute & University of Utah.
Papers
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Journal ArticleDOI
A Survey of General-Purpose Computation on Graphics Hardware
John D. Owens,David Luebke,Naga K. Govindaraju,Mark J. Harris,Jens Krüger,Aaron Lefohn,Timothy John Purcell +6 more
TL;DR: This report describes, summarize, and analyzes the latest research in mapping general‐purpose computation to graphics hardware.
Proceedings Article
A Survey of General-Purpose Computation on Graphics Hardware.
John D. Owens,David Luebke,Naga K. Govindaraju,Mark J. Harris,Jens Krüger,Aaron Lefohn,Timothy John Purcell +6 more
TL;DR: The techniques used in mapping general-purpose computation to graphics hardware will be generally useful for researchers who plan to develop the next generation of GPGPU algorithms and techniques.
Book
Real-Time Volume Graphics
TL;DR: This course will learn techniques for harnessing the power of consumer graphics hardware and high-level shading languages for real-time rendering of volumetric data and effects, covering local and global illumination, scattering, pre-integration, implicit surfaces and non-polygonal isosurfaces, transfer function design and deformation.
Proceedings ArticleDOI
GPGPU: general purpose computation on graphics hardware
David Luebke,Mark J. Harris,Jens Krüger,Timothy John Purcell,Naga K. Govindaraju,Ian Buck,Cliff Woolley,Aaron Lefohn +7 more
TL;DR: This course provides a detailed introduction to general purpose computation on graphics hardware (GPGPU), emphasize core computational building blocks, ranging from linear algebra to database queries, and review the tools, perils, and tricks of the trade in GPU programming.
Journal ArticleDOI
Particle-Based Simulation of Fluids
TL;DR: A particle interaction method for simulating fluids using moving particles and their interactions that fits well into the current user interaction paradigm and allows easy user control over the desired fluid motion.