high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan

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Tags: Computer science, CUDA, Databases, Neuroscience, nVidia, nVidia GeForce GTX 280

December 27, 2010 by hgpu

High-Performance Physics Simulations Using Multi-Core CPUs and GPGPUs in a Volunteer Computing Context

Kamran Karimi, Neil G. Dickson, Firas Hamze

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Physics

December 27, 2010 by hgpu

On the type of the temperature phase transition in phi-4 model

M.Bordag, V.Demchik, A.Gulov, V.Skalozub

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Radeon HD 5870, ATI Stream, GPU cluster, High Energy Physics - Lattice, High Energy Physics - Phenomenology, Monte Carlo simulation, Physics

December 27, 2010 by hgpu

Exact calculation of disconnected loops

C. Alexandrou, D. Christaras, A. O'Cais, A. Strelchenko

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C1060

December 27, 2010 by hgpu

CGiS, a new Language for Data-parallel GPU Programming

Nicolas Fritz, Philipp Lucas, Philipp Slusallek

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Tags: Cg, Computer science, High-level Languages, nVidia

December 26, 2010 by hgpu

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

A Parallel Preconditioned Conjugate Gradient Solver for the Poisson Problem on a Multi-GPU Platform

Marco Ament, Gunter Knittel, Daniel Weiskopf, W. Strasser

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Tags: Conjugate gradient solver, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 295

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

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

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

High-Performance Physics Simulations Using Multi-Core CPUs and GPGPUs in a Volunteer Computing Context

On the type of the temperature phase transition in phi-4 model

Exact calculation of disconnected loops

CGiS, a new Language for Data-parallel GPU Programming

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

A Parallel Preconditioned Conjugate Gradient Solver for the Poisson Problem on a Multi-GPU Platform

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

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)