high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GTX 580

GPU Based Generation and Real-Time Rendering of Semi-Procedural Terrain Using Features

Simon Zaaijer

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Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Real-time graphics, Rendering, Thesis

October 5, 2013 by hgpu

Data-parallel Acceleration of PARSEC Black-Scholes Benchmark

August Andren, Patrik Hagernas

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenACC, Tesla C2050, Tesla M2090

September 30, 2013 by hgpu

Performance Improvement of Optical Algorithms on Multicore Platforms

Ratnakar Madan

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Optics, Thesis

September 28, 2013 by hgpu

CUD@ASP: Experimenting with GPUs in ASP solving

Flavio Vella, Alessandro Dal Palu, Agostino Dovier, Andrea Formisano, Enrico Pontelli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 520, nVidia GeForce GT 640, nVidia GeForce GTX 580

September 27, 2013 by hgpu

GPU-TLS: An Efficient Runtime for Speculative Loop Parallelization on GPUs

Chenggang Zhang, Guodong Han, Cho-Li Wang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Tesla M2050

September 27, 2013 by hgpu

Realtime Deformation of Constrained Meshes Using GPU

Alexandre Kaspar, Bailin Deng

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

September 24, 2013 by hgpu

GPU Accelerated Parameter Estimation by Global Optimization using Interval Analysis

Mads B. Eriksen, Soren Rasmussen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, nVidia GeForce GTX 580, nVidia GeForce GTX Titan, Thesis

September 21, 2013 by hgpu

Can GPUs Sort Strings Efficiently?

Aditya Deshpande, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Sorting, Tesla K20

September 20, 2013 by hgpu

A GPU-based Parallel Procedure for Nonlinear Analysis of Complex Structures Using a Coupled FEM/DEM Approach

Lixiang Wang, Shihai Li, Guoxin Zhang, Zhaosong Ma, Lei Zhang

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Tags: Computer science, CUDA, FEM, Finite element method, Nonlinear analysis, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 670, nVidia GeForce GTX 680

September 18, 2013 by hgpu

Run-time Image and Video Resizing Using CUDA-enabled GPUs

Ronald Duarte, Resit Sendag

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 580

September 16, 2013 by hgpu

On the Performance and Energy-efficiency of Multi-core SIMD CPUs and CUDA-enabled GPUs

Ronald Duarte, Resit Sendag, Frederick J. Vetter

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, Performance

September 16, 2013 by hgpu

Coherent transport by adiabatic passage on atom chips

T. Morgan, L. J. O'Riordan, N. Crowley, B. O'Sullivan, Th. Busch

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, Physics, Quantum Physics

September 11, 2013 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU Based Generation and Real-Time Rendering of Semi-Procedural Terrain Using Features

Data-parallel Acceleration of PARSEC Black-Scholes Benchmark

Performance Improvement of Optical Algorithms on Multicore Platforms

CUD@ASP: Experimenting with GPUs in ASP solving

GPU-TLS: An Efficient Runtime for Speculative Loop Parallelization on GPUs

Realtime Deformation of Constrained Meshes Using GPU

GPU Accelerated Parameter Estimation by Global Optimization using Interval Analysis

Can GPUs Sort Strings Efficiently?

A GPU-based Parallel Procedure for Nonlinear Analysis of Complex Structures Using a Coupled FEM/DEM Approach

Run-time Image and Video Resizing Using CUDA-enabled GPUs

On the Performance and Energy-efficiency of Multi-core SIMD CPUs and CUDA-enabled GPUs

Coherent transport by adiabatic passage on atom chips

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)