high performance computing on graphics processing units: hgpu.org

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Memory-level and Thread-level Parallelism Aware GPU Architecture Performance Analytical Model

Sunpyo Hong, Hyesoon Kim

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Tags: Analytical model, Benchmarking, Computer science, CUDA, Memory level parallelism, nVidia, nVidia Quadro FX 5600, Warp level parallelism

December 15, 2011 by hgpu

A GPU-based Approximate SVD Algorithm

Blake Foster, Sridhar Mahadevan, Rui Wang

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Tags: Algorithms, Computer science, CUDA, Matrix decomposition, nVidia, nVidia GeForce GTX 480, Package

December 15, 2011 by hgpu

GPU Algorithms for the Estimation of Environmental Models Based on Large Datasets

Francesco Finazzi, Michela Cameletti

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Tags: Algorithms, CUDA, Earth and Space Sciences, Factorization, nVidia, Tesla C1060

December 15, 2011 by hgpu

GPU Collision Detection in Conformal Geometric Space

Eduardo Roa, Victor Theoktisto, Marta Fairen, Isabel Navazo

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce 9800 GT, Optimization

December 15, 2011 by hgpu

Performance in GPU Architectures: Potentials and Distances

Ahmad Lashgar, Amirali Baniasadi

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance

December 15, 2011 by hgpu

Minimising Testing in Genetic Programming

W. B. Langdon

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, Software Engineering

December 15, 2011 by hgpu

Free surface flow simulations on GPGPUs using the LBM

Christian Janssen, Manfred Krafczy

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 275, Tesla C1060

December 15, 2011 by hgpu

Speed sign detection and recognition by convolutional neural networks

Maurice Peemen, Bart Mesman, Henk Corporaal

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Tags: Algorithms, CNN, Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 460

December 15, 2011 by hgpu

On the numerical solution of chaotic dynamical systems using extend precision floating point arithmetic and very high order numerical methods

Scott A. Sarra, Clyde Meador

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Tags: Chaotic Dynamics, CUDA, Extended precision, nVidia, nVidia GeForce GTX 280, ODEs, Ordinary differential equations, Package, Physics

December 15, 2011 by hgpu

Graph Generation on GPUs using Dynamic Memory Allocation

A. Leist, K.A. Hawick

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Graph theory, Memory model, nVidia, nVidia GeForce GTX 580, Performance

December 14, 2011 by hgpu

A Novel Multi-GPU Neural Simulator

C. M. Thibeault, R. Hoang, F. C. Harris Jr.

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Tags: Biology, Biophysics, CUDA, Neuroscience, nVidia, nVidia GeForce GTX 480

December 14, 2011 by hgpu

Fast thermal simulation of 2D/3D integrated circuits exploiting neural networks and GPUs

Alessandro Vincenzi, Arvind Sridhar, Martino Ruggiero, David Atienza

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480

December 14, 2011 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

Memory-level and Thread-level Parallelism Aware GPU Architecture Performance Analytical Model

A GPU-based Approximate SVD Algorithm

GPU Algorithms for the Estimation of Environmental Models Based on Large Datasets

GPU Collision Detection in Conformal Geometric Space

Performance in GPU Architectures: Potentials and Distances

Minimising Testing in Genetic Programming

Free surface flow simulations on GPGPUs using the LBM

Speed sign detection and recognition by convolutional neural networks

On the numerical solution of chaotic dynamical systems using extend precision floating point arithmetic and very high order numerical methods

Graph Generation on GPUs using Dynamic Memory Allocation

A Novel Multi-GPU Neural Simulator

Fast thermal simulation of 2D/3D integrated circuits exploiting neural networks and GPUs

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)