high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

CUDA-Based Jacobi’s Iterative Method

Zhihui Zhang, Qinghai Miao, Ying Wang

Tags: Computer science, CUDA, Linear Algebra, nVidia

June 18, 2011 by hgpu

Parallelization and characterization of GARCH option pricing on GPUs

Ren-Shuo Liu, Yun-Cheng Tsai, Chia-Lin Yang

Tags: Computational finance, CUDA, Finance, nVidia

June 17, 2011 by hgpu

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Chi-Jer Yu, Chii-Tung Liu

Tags: Computer science, CUDA, Finite volume method, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 280

June 17, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

View

Download (PDF)

Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Tomasz Topa, A. Noga, A. Karwowski

Tags: CUDA, Electrodynamics, nVidia

June 16, 2011 by hgpu

Using the PhysX engine for physics-based virtual surgery with force feedback

Anderson Maciel, Tansel Halic, Zhonghua Lu, Luciana P. Nedel, Suvranu De

View

Download (PDF)

Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX, Rendering, Surgical simulation

June 16, 2011 by hgpu

Brownian dynamics simulations on CPU and GPU with BD_BOX

Maciej Dlugosz, Pawel Zielinski, Joanna Trylska

Source codes

Tags: Chemistry, CUDA, Molecular dynamics, MPI, nVidia, OpenMP, Package

June 16, 2011 by hgpu

Single Chain Slip-Spring Model for Fast Rheology Simulations of Entangled Polymers on GPU

Takashi Uneyama

View

Download (PDF)

Tags: Condensed matter, CUDA, nVidia, Physics, Soft Condensed Matter, Tesla C1060

June 16, 2011 by hgpu

Parallel cross-layer optimization of high-level synthesis and physical design

James Williamson, Yinghai Lu, Li Shang, Hai Zhou, Xuan Zeng

View

Download (PDF)

Tags: CAD, Computer science, CUDA, Electronic design automation, nVidia, Tesla C1060

June 15, 2011 by hgpu

Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics

Steffen Frey, Thomas Schlomer, Sebastian Grottel, Carsten Dachsbacher, Oliver Deussen, Thomas Ertl

View

Download (PDF)

Tags: Computer science, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Visualization, Voronoi diagram

June 15, 2011 by hgpu

Accelerating Genome-Wide Association Studies Using CUDA Compatible Graphics Processing Units

Rui Jiang, Feng Zeng, Wangshu Zhang, Xuebing Wu, Zhihong Yu

View

Download (PDF)

Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 280

June 15, 2011 by hgpu

Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs

Daniel Hefenbrock, Jason Oberg, Nhat Tan Nguyen Thanh, Ryan Kastner, Scott B. Baden

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, FPGA, GPU cluster, Image recognition, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 295

June 15, 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

CUDA-Based Jacobi’s Iterative Method

Parallelization and characterization of GARCH option pricing on GPUs

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Using the PhysX engine for physics-based virtual surgery with force feedback

Brownian dynamics simulations on CPU and GPU with BD_BOX

Single Chain Slip-Spring Model for Fast Rheology Simulations of Entangled Polymers on GPU

Parallel cross-layer optimization of high-level synthesis and physical design

Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics

Accelerating Genome-Wide Association Studies Using CUDA Compatible Graphics Processing Units

Accelerating Viola-Jones Face Detection to FPGA-Level Using 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)