high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

Speculative Parallel Evaluation Of Classification Trees On GPGPU Compute Engines

Jason Spencer

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 2000, Optimization, Pattern recognition

November 8, 2011 by hgpu

Functional Programming for High-Performance Computing on Heterogeneous Architectures

Sylvain Henry

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Optimization, Performance, Programming Languages, Programming techniques

November 7, 2011 by hgpu

Fast Computation of Dipole Radiation in Stratified Background Using Graphics Processing Unit

M. Quinto, S. Boutami, J. Hazart

View

Download (PDF)

Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce 8800 GTX

November 7, 2011 by hgpu

Vergence Using GPU Cepstral Filtering

Luis Almeida, Paulo Menezes, Jorge Dias

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Filtering, nVidia, nVidia GeForce 9800 GTX

November 7, 2011 by hgpu

GPU-accelerated Convex Multi-phase Image Segmentation

Subrahmanyam Gorthi, Arnaud Le Carvennec, Hadrien Copponnex, Xavier Bresson, Jean-Philippe Thiran

View

Download (PDF)

Source codes

Tags: Algorithms, Computational Complexity, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Optimization, Package

November 7, 2011 by hgpu

Real-time Sliding Phase Vocoder using a Commodity GPU

Russell Bradford, John ffitch, Richard Dobson

View

Download (PDF)

Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 470, Signal processing

November 6, 2011 by hgpu

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

E.A. Malkov, M.S. Ivanov

View

Download (PDF)

Tags: Algorithms, Boltzmann equation, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Physics

November 6, 2011 by hgpu

The conjugate gradient solver accelerated by GPU for solving wave-propagation problems

Chao Chen

View

Download (PDF)

Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Linear Algebra, Matrix multiplication, nVidia

November 6, 2011 by hgpu

Advanced MRI reconstruction toolbox with accelerating on GPU

Xiao-Long Wu, Yue Zhuo, Fan Lam, Maojing Fu, Justin P. Haldar, Wen-Mei Hwu, Zhi-Pei Liang, Bradley P. Sutton, Jiading Gai

View

Download (PDF)

Tags: Algorithms, CUDA, FFT, Image reconstruction, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce GTX 280, Optimization, Physics

November 6, 2011 by hgpu

Global memory access modelling for efficient implementation of the lattice Boltzmann method on graphics processing units

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

View

Download (PDF)

Tags: Benchmarking, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 295

November 6, 2011 by hgpu

Performance and scalability of Fourier domain optical coherence tomography acceleration using graphics processing units

Jian Li, Pavel Bloch, Jing Xu, Marinko V. Sarunic, Lesley Shannon

View

Download (PDF)

Tags: CUDA, Data acquisition, Medicine, Memory model, nVidia, nVidia GeForce GTX 295, Optics, Tomography

November 6, 2011 by hgpu

Running unstructured grid-based CFD solvers on modern graphics hardware

Andrew Corrigan, Fernando F. Camelli, Rainald Lohner, John Wallin

View

Download (PDF)

Tags: Algorithms, CUDA, Fluid dynamics, nVidia, Tesla

November 6, 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

* * *

high performance computing on graphics processing units: hgpu.org

Speculative Parallel Evaluation Of Classification Trees On GPGPU Compute Engines

Functional Programming for High-Performance Computing on Heterogeneous Architectures

Fast Computation of Dipole Radiation in Stratified Background Using Graphics Processing Unit

Vergence Using GPU Cepstral Filtering

GPU-accelerated Convex Multi-phase Image Segmentation

Real-time Sliding Phase Vocoder using a Commodity GPU

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

The conjugate gradient solver accelerated by GPU for solving wave-propagation problems

Advanced MRI reconstruction toolbox with accelerating on GPU

Global memory access modelling for efficient implementation of the lattice Boltzmann method on graphics processing units

Performance and scalability of Fourier domain optical coherence tomography acceleration using graphics processing units

Running unstructured grid-based CFD solvers on modern graphics hardware

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)