high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » Algorithms

An Out-of-core GPU Approach for Accelerating Geostatistical Interpolation

Victor Allombert, David Michea, Fabrice Dupros, Christian Bellier, Bernard Bourgine, Hideo Aochi, Sylvain Jubertie

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Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, Linear Algebra, nVidia, nVidia Quadro K4000

June 18, 2014 by hgpu

An Improved Monte Carlo Ray Tracing for Large-Scale Rendering in Hadoop

Rui Li, Yue Zheng

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Hadoop, MapReduce, Raytracing, Rendering

June 17, 2014 by hgpu

A CUDA based Solution to the Multidimensional Knapsack Problem Using the Ant Colony Optimization

Henrique Finglera, Edson N. Caceresa, Henrique Mongellia, Siang W. Songb

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Tags: Algorithms, Ant colony optimization, Computer science, CUDA, Metaheuristics, nVidia

June 17, 2014 by hgpu

Improved Distance Weighted GPU-based 3D Ultrasound Reconstruction Methods

Tord Oygard

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Tags: Algorithms, ATI, ATI Radeon HD 6470 M, Image processing, Nearest neighbour, OpenCL, Thesis, Ultrasound

June 16, 2014 by hgpu

Image Denoising Using Wavelet Transform and CUDA

Hovhannes M. Bantikyan

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Tags: Algorithms, Compression, CUDA, Discrete Wavelet Transform, Image processing, nVidia, nVidia GeForce GT 630

June 14, 2014 by hgpu

A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems

F. Campeotto, A. Dovier, F. Fioretto, E. Pontelli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, Optimization, Search

June 14, 2014 by hgpu

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

Azzam Haidar, Chongxiao Cao, Asim YarKhan, Piotr Luszczek, Stanimire Tomov, Khairul Kabir, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, nVidia, Tesla K20, Tesla M2090

June 14, 2014 by hgpu

A Fast Batched Cholesky Factorization on a GPU

Tingxing Dong, Azzam Haidar, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Package, Tesla K40

June 12, 2014 by hgpu

Optimization Techniques on GPU: A Survey

Rashmi Sharan Sinha, Satvir Singh

Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 285, Optimization, Overview, Particle swarm optimization, Tesla C1060, Tesla C2050

June 12, 2014 by hgpu

Parallel Prefix Scan with Compute Unified Device Architecture (CUDA)

B. Muni Lavanya

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting

June 11, 2014 by hgpu

Intersecting two families of sets on the GPU

Marta Fort, J. Antoni Sellares, Nacho Valladares

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

June 11, 2014 by hgpu

An Improved Parallel Algorithm using GPU for Siting Observers on Terrain

Guilherme C. Pena, Marcus V. A. Andrade, Salles V. G. Magalhaes, W. R. Franklin, Chaulio R. Ferreira

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Tags: Algorithms, Computer science, CUDA, nVidia, Search strategies, Tesla K20

June 6, 2014 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

Programming

An Out-of-core GPU Approach for Accelerating Geostatistical Interpolation

An Improved Monte Carlo Ray Tracing for Large-Scale Rendering in Hadoop

A CUDA based Solution to the Multidimensional Knapsack Problem Using the Ant Colony Optimization

Improved Distance Weighted GPU-based 3D Ultrasound Reconstruction Methods

Image Denoising Using Wavelet Transform and CUDA

A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

A Fast Batched Cholesky Factorization on a GPU

Optimization Techniques on GPU: A Survey

Parallel Prefix Scan with Compute Unified Device Architecture (CUDA)

Intersecting two families of sets on the GPU

An Improved Parallel Algorithm using GPU for Siting Observers on Terrain

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)