high performance computing on graphics processing units: hgpu.org

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Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

Davor Davidovic, Enrique S. Quintana-Orti

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Tags: Algorithms, CUBLAS, CUDA, Linear Algebra, Mathematics, nVidia, Tesla C2050

January 6, 2012 by hgpu

Evaluating polynomials in several variables and their derivatives on a GPU computing processor

Jan Verschelde, Genady Yoffe

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, Tesla C2050

January 4, 2012 by hgpu

A GPU-based platform for cancer-treatment planning

Luis Cebamanos

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Tags: Algorithms, CUDA, Medicine, nVidia, Radiotherapy, Tesla C2050, Thesis

January 2, 2012 by hgpu

Decreasing NAME III Solution Time Using GP-GPU

Kingsley Gale-Sides

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Tags: Benchmarking, Cloud, Computer science, CUDA, Fortran, MPI, nVidia, Tesla C2050, Tesla M1060, Thesis

January 1, 2012 by hgpu

Speeding Up Geospatial Polygon Rasterization on GPGPUs

Jianting Zhang

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, Rasterization, Sorting, Tesla C2050

December 31, 2011 by hgpu

Comparison of Fragmentation/Dispersion Models for Asteroid Nuclear Disruption Mission Design

Brian D. Kaplinger, Bong Wie

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Tags: Algorithms, Astrophysics, Benchmarking, CUDA, nVidia, Tesla C2050

December 31, 2011 by hgpu

Optimising the DBCSR GPU Implementation

Jay Chetty

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tesla C2050, Thesis

December 31, 2011 by hgpu

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, nVidia GeForce GTX 480, Tesla C2050, Tesla S1070

December 29, 2011 by hgpu

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: CUDA, Data parallelism, Earth and Space Sciences, Geoscience, nVidia, Optimization, Sensing, Tesla C2050

December 29, 2011 by hgpu

Parallel Algorithms for GPU accelerated Probabilistic Inference

Nico Piatkowski

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Source codes

Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Tesla C2050

December 27, 2011 by hgpu

Fast Parallel Machine Learning Algorithms for Large Datasets Using Graphic Processing Unit

Qi Li

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Optimization, Sorting, Tesla C1060, Tesla C2050, Tesla C2070, Thesis

December 26, 2011 by hgpu

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Achim Basermann, Alan R. Bishop

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Tags: Computer science, GPU cluster, nVidia, Performance, Sparse matrix, Tesla C2050, Tesla C2070

December 26, 2011 by hgpu

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

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

Evaluating polynomials in several variables and their derivatives on a GPU computing processor

A GPU-based platform for cancer-treatment planning

Speeding Up Geospatial Polygon Rasterization on GPGPUs

Comparison of Fragmentation/Dispersion Models for Asteroid Nuclear Disruption Mission Design

Optimising the DBCSR GPU Implementation

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Parallel Algorithms for GPU accelerated Probabilistic Inference

Fast Parallel Machine Learning Algorithms for Large Datasets Using Graphic Processing Unit

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Recent source codes

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

ROCm's implementation of Gromacs

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

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