high performance computing on graphics processing units: hgpu.org

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PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu, Peter Sadowski, Evan Racah, Suren Byna, Craig Tull, Wahid Bhimji, Prabhat, Pradeep Dubey

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Tags: Algorithms, classification, Computer science, Data mining, Intel Xeon Phi, KD-tree, Machine learning, Nearest neighbour

July 30, 2016 by hgpu

Speeding Up Reinforcement Learning with Graphics Processing Units

Jorn H. Postma

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Tags: Algorithms, Computer science, KD-tree, Machine learning, nVidia, OpenCL, Tesla C2075, Thesis

February 18, 2016 by hgpu

Bigger Buffer k-d Trees on Multi-Many-Core Systems

Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes

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Tags: Computer science, KD-tree, Nearest neighbour, nVidia, nVidia GeForce GTX Titan Z, OpenCL, Package

December 15, 2015 by hgpu

FastTree: A Hardware KD-Tree Construction Acceleration Engine for Real-Time Ray Tracing

Xingyu Liu, Yangdong Deng, Yufei Ni, Zonghui Li

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Tags: Algorithms, ASIC, Computer science, FPGA, KD-tree, Raytracing, Rendering

March 12, 2015 by hgpu

Algorithms and Data Structures for Interactive Ray Tracing on Commodity Hardware

Stefan Popov

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce 8800 GTX, Raytracing, Rendering, Thesis

July 11, 2014 by hgpu

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Klaus Kofler, Dominik Steinhauser, Biagio Cosenza, Ivan Grasso, Sabine Schindler, Thomas Fahringer

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 5870, ATI Radeon HD 7950, Computational Complexity, Computer science, KD-tree, N-body simulation, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla K20

July 1, 2014 by hgpu

Fast Galactic Structure Finding using Graphics Processing Units

Daniel Wood

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Tags: Astrophysics, CUDA, Gravitation, KD-tree, N-body simulation, nVidia, nVidia GeForce GTX 260 Ti, nVidia GeForce GTX 460 Ti

July 1, 2014 by hgpu

Review and Comparative Study of Ray Traversal Algorithms on a Modern GPU Architecture

A.L. dos Santos, U.F.P.E. Center, A.J. Anibal, C. Universitária, V. Teichrieb, J. Lindoso

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Tags: CUDA, KD-tree, nVidia, nVidia GeForce GTX 780 Ti, Raytraycing

June 8, 2014 by hgpu

Build and Travel KD-Tree with CUDA

Meng Zhou

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 780 Ti, Package, Raytracing

May 14, 2014 by hgpu

Literature review: Build and Travel KD-Tree with CUDA

M. Zhou

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Tags: CUDA, Graphics, KD-tree, Raytracing, Review

March 29, 2014 by hgpu

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs

Fabian Gieseke, Justin Heinermann, Cosmin Oancea, Christian Igel

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Tags: Computer science, KD-tree, Nearest neighbour, nVidia, nVidia GeForce GTX 770, OpenCL

February 1, 2014 by hgpu

Interactive Ray-tracing Based on OptiX to Visualize Signed Distance Fields

Taejung Park, Yangmi Lim

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, OpenGL, OptiX, Raytracing, Triangular meshes

January 2, 2014 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

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

Speeding Up Reinforcement Learning with Graphics Processing Units

Bigger Buffer k-d Trees on Multi-Many-Core Systems

FastTree: A Hardware KD-Tree Construction Acceleration Engine for Real-Time Ray Tracing

Algorithms and Data Structures for Interactive Ray Tracing on Commodity Hardware

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Fast Galactic Structure Finding using Graphics Processing Units

Review and Comparative Study of Ray Traversal Algorithms on a Modern GPU Architecture

Build and Travel KD-Tree with CUDA

Literature review: Build and Travel KD-Tree with CUDA

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs

Interactive Ray-tracing Based on OptiX to Visualize Signed Distance Fields

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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