high performance computing on graphics processing units: hgpu.org

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General Transformations for GPU Execution of Tree Traversals

Michael Goldfarb, Youngjoon Jo, Milind Kulkarni

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Tags: Algorithms, Compilers, Computer science, CUDA, KD-tree, nVidia, Performance, Tesla C2070

August 15, 2013 by hgpu

Multi-core CPU or GPU-accelerated Multiscale Modeling for Biomolecular Complexes

Tao Liao, Yongjie Zhang, Peter M. Kekenes-Huskey, Yuhui Cheng, Anushka Michailova, Andrew D. McCulloch, Michael Holst, J. Andrew McCammon

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Tags: Algorithms, Bioinformatics, Biology, Biomolecules, CUDA, KD-tree, Molecular surface, nVidia, nVidia GeForce GTX 680

August 9, 2013 by hgpu

Efficient Rendering of Scenes with Dynamic Lighting Using a Photons Queue and Incremental Update Algorithm

Guangfu Shi

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Tags: Computer science, CUDA, KD-tree, nVidia, nVidia Quadro K 2000 M, Raytracing, Rendering, Thesis

July 25, 2013 by hgpu

Shell: A Spatial Decomposition Data Structure for 3D Curve Traversal on Many-core Architectures

Kai Xiao, Danny Z. Chen, X. Sharon Hu, Bo Zhou

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Tags: Algorithms, CUDA, KD-tree, nVidia, nVidia GeForce GTX 570

April 15, 2013 by hgpu

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Ralf Kaehler, Tom Abel

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Tags: Algorithms, Astrophysics, Cosmology, Differential equations, GLSL, Instrumentation and Methods for Astrophysics, KD-tree, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

December 18, 2012 by hgpu

Real-time Kd-tree Based Importance Sampling of Environment Maps

Serkan Ergun, Murat Kurt, Aydin Ozturk

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, KD-tree, Monte Carlo integration, nVidia, nVidia GeForce GTX 480

September 15, 2012 by hgpu

Fast algorithm of ray tracing based on KD-tree structure

Yuanlong Wang, Ping Guo

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Tags: Algorithms, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 470, Raytracing

July 7, 2012 by hgpu

Hybrid CPU/GPU KD-Tree Construction for Versatile Ray Tracing

Jean-Patrick Roccia, Mathias Paulin, Christophe Coustet

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 560, Raytracing

April 27, 2012 by hgpu

GPU Accelerated Molecular Surface Computing

Byungjoo Kim, Ku-Jin Kim, Joon-Kyung Seong

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Tags: Biochemistry, Chemistry, CUDA, KD-tree, Molecular surface, nVidia, nVidia GeForce GTX 590

February 26, 2012 by hgpu

Review: Kd-tree Traversal Algorithms for Ray Tracing

M. Hapala, V. Havran

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Tags: 3D Graphics and Realism, Algorithms, Computer science, KD-tree, nVidia, Raytracing, Review

February 20, 2012 by hgpu

Interactive Manycore Photon Mapping

Bartosz Fabianowski

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Tags: Algorithms, Computer science, CUDA, KD-tree, Nearest neighbour, nVidia, nVidia GeForce GTX 280, Rendering, Thesis

February 17, 2012 by hgpu

Construction of Efficient Kd-Trees for Static Scenes Using Voxel-visibility Heuristic

Byeongjun Choi, Byungjoon Chang, Insung Ihm

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Tags: Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 480, Raytracing, Rendering

January 29, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

General Transformations for GPU Execution of Tree Traversals

Multi-core CPU or GPU-accelerated Multiscale Modeling for Biomolecular Complexes

Efficient Rendering of Scenes with Dynamic Lighting Using a Photons Queue and Incremental Update Algorithm

Shell: A Spatial Decomposition Data Structure for 3D Curve Traversal on Many-core Architectures

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Real-time Kd-tree Based Importance Sampling of Environment Maps

Fast algorithm of ray tracing based on KD-tree structure

Hybrid CPU/GPU KD-Tree Construction for Versatile Ray Tracing

GPU Accelerated Molecular Surface Computing

Review: Kd-tree Traversal Algorithms for Ray Tracing

Interactive Manycore Photon Mapping

Construction of Efficient Kd-Trees for Static Scenes Using Voxel-visibility Heuristic

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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