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March 17, 2011 by hgpu

Using common graphics hardware for multi-agent traffic simulation with CUDA

David Strippgen, Kai Nagel

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Software Engineering

March 8, 2011 by hgpu

Formal Description and Optimization Based High – Performance Computing on CUDA

Bo Li, Huacheng Zhao, Jingjing Liang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, Optimization, Programming techniques

March 4, 2011 by hgpu

Acceleration of Binomial Options Pricing via Parallelizing along time-axis on a GPU

Narayan Ganesan, Roger D. Chamberlain, Jeremy Buhler

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Tags: CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce 8600 GT

February 21, 2011 by hgpu

Multi-agent traffic simulation with CUDA

D. Strippgen, K. Nagel

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Tags: Computer science, CUDA, Games, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280

February 16, 2011 by hgpu

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Ronan Amorim, Gundolf Haase, Manfred Liebmann, Rodrigo Weber dos Santos

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Tags: Computer science, CUDA, GLSL, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, OpenGL, Performance

February 11, 2011 by hgpu

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

Accelerating Quadrature Methods for Option Valuation

Anson H. T. Tse, David B. Thomas, Wayne Luk

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Tags: CUDA, Finance, nVidia, nVidia GeForce 8600 GT, Tesla C1060

January 19, 2011 by hgpu

Significantly Improved Performances Of The Cryptographically Generated Addresses Thanks To ECC And GPGPU

Tony Cheneau, Aymen Boudguiga, Maryline Laurent

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8600 GTS, Security

January 5, 2011 by hgpu

Wave field synthesis for 3D audio: architectural prospectives

Dimitris Theodoropoulos, Catalin Bogdan Ciobanu, Georgi Kuzmanov

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Tags: CUDA, FPGA, nVidia, nVidia GeForce 8600 GT, Signal processing

January 3, 2011 by hgpu

CPU, SMP and GPU implementations of Nohalo level 1, a fast co-convex antialiasing image resampler

Nicolas Robidoux, Minglun Gong, John Cupitt, Adam

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Tags: ATI, ATI Mobility Radeon X1400, Computer vision, DirectX, HLSL, Image generation, Image processing, nVidia, nVidia GeForce 6800, nVidia GeForce 8600 GT, nVidia GeForce 9800 GT, nVidia GeForce 9800 GX2

December 25, 2010 by hgpu

Tabu Search on GPU

Adam Janiak, Wladyslaw A. Janiak, Maciej Lichtenstein

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Tags: Algorithms, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 7300 GT, nVidia GeForce 8600 GT, Search

December 23, 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

nVidia GeForce 8600 GT

Using common graphics hardware for multi-agent traffic simulation with CUDA

Formal Description and Optimization Based High – Performance Computing on CUDA

Acceleration of Binomial Options Pricing via Parallelizing along time-axis on a GPU

Multi-agent traffic simulation with CUDA

Comparing CUDA and OpenGL implementations for a Jacobi iteration

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

Accelerating Quadrature Methods for Option Valuation

Significantly Improved Performances Of The Cryptographically Generated Addresses Thanks To ECC And GPGPU

Wave field synthesis for 3D audio: architectural prospectives

CPU, SMP and GPU implementations of Nohalo level 1, a fast co-convex antialiasing image resampler

Tabu Search on GPU

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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