high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Jamin Naghmouchi, Daniele P. Scarpazza, Mladen Berekovic

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Pattern Search, Programming techniques

January 31, 2011 by hgpu

Geometry Textures and Applications

Rodrigo de Toledo, Bin Wang, Bruno Levy

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 6800, nVidia GeForce 7900 GTX, nVidia GeForce 8800 GTX, OpenGL

January 30, 2011 by hgpu

Real-Time Depth-of-Field Rendering Using Point Splatting on Per-Pixel Layers

Sungkil Lee, Gerard Jounghyun Kim, Seungmoon Choi

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Tags: Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 9800 GX2, OpenGL

January 30, 2011 by hgpu

Efficient image reconstruction for point-based and line-based rendering

Ricardo Marroquim, Martin Kraus, Paulo Roma Cavalcanti

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering

January 30, 2011 by hgpu

Fast and Scalable CPU/GPU Collision Detection for Rigid and Deformable Surfaces

Simon Pabst, Artur Koch, Wolfgang Strasser

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Physics-based simulation

January 30, 2011 by hgpu

Feature based terrain generation using diffusion equation

Houssam Hnaidi, Eric Guerin, Samir Akkouche, Adrien Peytavie, Eric Galin

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTS, OpenGL

January 30, 2011 by hgpu

Asynchronous Communication Schemes for Finite Difference Methods on Multiple GPUs

Daniel P. Playne, Kenneth A. Hawick

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Tags: Computer science, CUDA, Finite difference, GPU cluster, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 295

January 30, 2011 by hgpu

Accelerating marching cubes with graphics hardware

Gunnar Johansson, Hamish Carr

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Tags: Algorithms, Cg, Computer science, Image generation, nVidia, nVidia GeForce 6800 GT, OpenGL

January 30, 2011 by hgpu

Implicit Boundary Control of Vector Field Based Shape Deformations

Wolfram von Funck, Holger Theisel, Hans-Peter Seidel

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 6800 GT

January 30, 2011 by hgpu

Fast GPU-based normal map generation for simplified models

Jesus Gumbau, Carlos Gonzalez, Miguel Chover

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Tags: 3D Graphics and Realism, ATI, Computer science, nVidia, nVidia GeForce 6800, Shaders

January 30, 2011 by hgpu

Sliding-Windows for Rapid Object Class Localization: A Parallel Technique

Christian Wojek, Gyuri Dorko, Andre Schulz and Bernt Schiele

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 Ultra

January 27, 2011 by hgpu

Acceleration and Energy Efficiency of a Geometric Algebra Computation using Reconfigurable Computers and GPUs

Holger Lange, Florian Stock, Andreas Koch, Dietmar Hildenbrand

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Tags: Computer science, CUDA, Energy-efficient computing, FPGA, nVidia, nVidia GeForce GTX 280

January 27, 2011 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

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Geometry Textures and Applications

Real-Time Depth-of-Field Rendering Using Point Splatting on Per-Pixel Layers

Efficient image reconstruction for point-based and line-based rendering

Fast and Scalable CPU/GPU Collision Detection for Rigid and Deformable Surfaces

Feature based terrain generation using diffusion equation

Asynchronous Communication Schemes for Finite Difference Methods on Multiple GPUs

Accelerating marching cubes with graphics hardware

Implicit Boundary Control of Vector Field Based Shape Deformations

Fast GPU-based normal map generation for simplified models

Sliding-Windows for Rapid Object Class Localization: A Parallel Technique

Acceleration and Energy Efficiency of a Geometric Algebra Computation using Reconfigurable Computers and GPUs

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)