CUDA | Page 637 | hgpu.org

hgpu.org » CUDA

Lattice Boltzmann based PDE solver on the GPU

Ye Zhao

View

Tags: Computer science, CUDA, Fluid dynamics, Laplace and Poisson equation, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 by hgpu

Performance evaluation of H.264/AVC decoding and visualization using the GPU

Bart Pieters, Dieter Van Rijsselbergen, Wesley De Neve, Rik Van de Walle

View

Download (PDF)

Tags: Computer science, CUDA, H.264/AVC, Motion compensation, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 by hgpu

Fast k Nearest Neighbor Search using GPU

Vincent Garcia, Eric Debreuve, Michel Barlaud

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 by hgpu

Sequence alignment with GPU: Performance and design challenges

Gregory M. Striemer, Ali Akoglu

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, Package, Sequence alignment, Smith-Waterman algorithm, Tesla C870

October 27, 2010 by hgpu

GPU-Quicksort: A practical Quicksort algorithm for graphics processors

Daniel Cederman, Philippas Tsigas

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Package, Sorting

October 27, 2010 by hgpu

GPU accelerated pathfinding

Avi Bleiweiss

View

Download (PDF)

Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, Presentation, Search strategies

October 27, 2010 by hgpu

ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale

M. J. Harvey, G. Giupponi, G. De Fabritiis

View

Download (PDF)

Tags: Biological Physics, Chemistry, Computational Physics, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce GTX 280, Package, Physics, Tesla C1060

October 27, 2010 by hgpu

Simulating spin models on GPU

Martin Weigel

View

Download (PDF)

Source codes

Tags: CUDA, Ising model, Monte Carlo simulation, nVidia, Package, Physics, Statistical Mechanics, Tesla C1060

October 27, 2010 by hgpu

GPU implementation of JPEG XR

Ming C. Che, Jie Liang

Tags: Algorithms, Computer science, CUDA, Image processing, nVidia

October 27, 2010 by hgpu

Monte Carlo integration on GPU

J. Kanzaki

View

Download (PDF)

Source codes

Tags: Computational Physics, CUDA, High Energy Physics - Experiment, High Energy Physics - Phenomenology, Monte Carlo integration, nVidia, nVidia GeForce GTX 285, Package, Physics

October 27, 2010 by hgpu

Computational advances in gravitational microlensing: a comparison of CPU, GPU, and parallel, large data codes

N. F. Bate, C. J. Fluke, B. R. Barsdell, H. Garsden, G. F. Lewis

View

Download (PDF)

Tags: Astrophysics, CUDA, Gravitational lensing, Instrumentation and Methods for Astrophysics, nVidia, Tesla S1070

October 27, 2010 by hgpu

Multi-GPU accelerated multi-spin Monte Carlo simulations of the 2D Ising model

Benjamin Block,Peter Virnau,Tobias Preis

View

Download (PDF)

Source codes

Tags: CUDA, GPU cluster, Ising model, Monte Carlo simulation, nVidia, Package, Physics, Tesla C1060

October 27, 2010 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

* * *

high performance computing on graphics processing units: hgpu.org

Lattice Boltzmann based PDE solver on the GPU

Performance evaluation of H.264/AVC decoding and visualization using the GPU

Fast k Nearest Neighbor Search using GPU

Sequence alignment with GPU: Performance and design challenges

GPU-Quicksort: A practical Quicksort algorithm for graphics processors

GPU accelerated pathfinding

ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale

Simulating spin models on GPU

GPU implementation of JPEG XR

Monte Carlo integration on GPU

Computational advances in gravitational microlensing: a comparison of CPU, GPU, and parallel, large data codes

Multi-GPU accelerated multi-spin Monte Carlo simulations of the 2D Ising model

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

Most viewed papers (last 30 days)