high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Fast Histograms using Adaptive CUDA Streams

Sisir Koppaka, Dheevatsa Mudigere, Srihari Narasimhan, Babu Narayanan

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance

November 9, 2010 by hgpu

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Christian Walder

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Package, Tesla C2050

November 9, 2010 by hgpu

Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

Imran S. Haque, Vijay S. Pande

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9500 GT, Package, Tesla C870

November 9, 2010 by hgpu

Parallel Graph Component Labelling with GPUs and CUDA

K. A. Hawick, A. Leist, D. P. Playne

View

Download (PDF)

Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 260

November 9, 2010 by hgpu

HONEI: A collection of libraries for numerical computations targeting multiple processor architectures

Danny van Dyk, Markus Geveler, Sven Mallach, Dirk Ribbrock, Dominik Goeddeke, Carsten Gutwenger

View

Download (PDF)

Source codes

Tags: Cell processor, Computer science, CUDA, Mathematical Software, Mixed precision, nVidia, nVidia GeForce 8800 GTX, Package

November 9, 2010 by hgpu

Spherical harmonic transform with GPUs

Ioan O. Hupca, Joel Falcou, Laura Grigori, Radek Stompor

View

Download (PDF)

Tags: Astrophysics, Computer science, Cosmology and Extragalactic Astrophysics, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480

November 9, 2010 by hgpu

Accelerating Scientific Computations with Mixed Precision Algorithms

Marc Baboulin, Alfredo Buttari, Jack Dongarra, Jakub Kurzak, Julie Langou, Julien Langou, Piotr Luszczek, Stanimire Tomov

View

Download (PDF)

Tags: Algorithms, Cell processor, Computer science, FPGA, Linear Algebra, Mathematical Software, Mixed precision

November 9, 2010 by hgpu

Nonlinear optimization with a massively parallel Evolution Strategy-Pattern Search algorithm on graphics hardware

Weihang Zhu

Tags: Computer science, Evolutionary Computations, Pattern Search

November 9, 2010 by hgpu

Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms

Garnett Wilson, Wolfgang Banzhaf

View

Download (PDF)

Tags: Computer science, HLSL, nVidia, nVidia GeForce 8800 GTX, Xbox 360

November 9, 2010 by hgpu

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

Weihang Zhu

View

Download (PDF)

Tags: Computer science, CUDA, Differential evolution, Finance, nVidia, nVidia GeForce GTX 280, Pattern Search

November 9, 2010 by hgpu

DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Jiri Barnat, Lubos Brim, Milan Ceska

View

Download (PDF)

Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Software Engineering

November 9, 2010 by hgpu

Solving $k$-Nearest Vector Problem on Multiple Graphics Processors

Kimikazu Kato, Tikara Hosino

View

Download (PDF)

Tags: Computer science, CUDA, Data Structures and Algorithms, Information Retrieval, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 280

November 8, 2010 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Fast Histograms using Adaptive CUDA Streams

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

Parallel Graph Component Labelling with GPUs and CUDA

HONEI: A collection of libraries for numerical computations targeting multiple processor architectures

Spherical harmonic transform with GPUs

Accelerating Scientific Computations with Mixed Precision Algorithms

Nonlinear optimization with a massively parallel Evolution Strategy-Pattern Search algorithm on graphics hardware

Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Solving $k$-Nearest Vector Problem on Multiple Graphics Processors

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)