high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

Nachiket Kapre, Andre DeHon

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Tags: Cell processor, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9600 GT, Performance

December 26, 2010 by hgpu

Direct Point Rendering on GPU

Hiroaki Kawata, Takashi Kanai

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 6, OpenGL, Rendering

December 26, 2010 by hgpu

Performance Study of LU Decomposition on the Programmable GPU

Fumihiko Ino, Manabu Matsui, Keigo Goda, Kenichi Hagihara

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Tags: Cg, Computer science, Linear Algebra, nVidia, nVidia GeForce FX 5900 Ultra, nVidia Quadro FX 3400, OpenGL

December 26, 2010 by hgpu

KD-tree acceleration structures for a GPU raytracer

Tim Foley, Jeremy Sugerman

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X800, Computer science, Image processing, Raytracing

December 26, 2010 by hgpu

What you see is what you snap: snapping to geometry deformed on the GPU

Harlen Costa Batagelo, Shin-Ting Wu

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Tags: 3D Graphics and Realism, Computer science, DirectX, nVidia, nVidia GeForce FX 5900

December 26, 2010 by hgpu

Interactive landscape visualization using GPU ray casting

Stephan Mantler, Stefan Jeschke

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Tags: ATI, ATI Radeon X1900, Computer science, DirectX, HLSL, Real-time graphics, Rendering, Visualization

December 26, 2010 by hgpu

Real-Time Marker Level Set on GPU

Xing Mei, Philippe Decaudin, Bao-Gang Hu, Xiaopeng Zhang

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Visualization

December 26, 2010 by hgpu

Scalable learning for object detection with GPU hardware

Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y. Ng

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX

December 26, 2010 by hgpu

Spatio-temporal upsampling on the GPU

Robert Herzog, Elmar Eisemann, Karol Myszkowski, H.-P. Seidel

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Rendering

December 26, 2010 by hgpu

Automatic Pose Estimation for Range Images on the GPU

Marcel Germann, Michael D. Breitenstein, In Kyu Park, Hanspeter Pfiste

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 8800 GTX, Shaders

December 26, 2010 by hgpu

Parallel High Resolution Real-time Visual Hull On GPU

Wolfgang Waizenegger, Ingo Feldmann, Peter Eisert, Peter Kauff

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Tags: Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Real-time graphics

December 26, 2010 by hgpu

Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems

Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

December 26, 2010 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

Applications

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

Direct Point Rendering on GPU

Performance Study of LU Decomposition on the Programmable GPU

KD-tree acceleration structures for a GPU raytracer

What you see is what you snap: snapping to geometry deformed on the GPU

Interactive landscape visualization using GPU ray casting

Real-Time Marker Level Set on GPU

Scalable learning for object detection with GPU hardware

Spatio-temporal upsampling on the GPU

Automatic Pose Estimation for Range Images on the GPU

Parallel High Resolution Real-time Visual Hull On GPU

Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems

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

Most viewed papers (last 30 days)