high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

Multicore bundle adjustment

Changchang Wu, Sameer Agarwal, Brian Curless, Steven M. Seitz

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Image reconstruction, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, nVidia GeForce GTX 295, Package, Tesla C1060

August 31, 2011 by hgpu

FastMag: Fast micromagnetic simulator for complex magnetic structures

R. Chang, S. Li, M. V. Lubarda, B. Livshitz, V. Lomakin

View

Download (PDF)

Tags: CUDA, Electromagnetics simulation, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Physics, Tesla C1060, Tesla C2070

August 31, 2011 by hgpu

An FPGA-specific algorithm for direct generation of multi-variate Gaussian random numbers

David B. Thomas, Wayne Luk

Tags: Algorithms, Computer science, CUDA, DSP, FPGA, Numerical simulation, nVidia, Pseudo-random number generators

August 30, 2011 by hgpu

CUDA accelerated iris template matching on Graphics Processing Units (GPUs)

N.A. Vandal, M. Savvides

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce GTX 470, Security

August 28, 2011 by hgpu

Real-time task reconfiguration support applied to an UAV-based surveillance system

Alecio Pedro Delazari Binotto, Edison Pignaton de Freitas, Carlos Eduardo Pereira, Andre Stork, Tony Larsson

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 8800 GT

August 28, 2011 by hgpu

Collaborative execution environment for heterogeneous parallel systems

Aleksandar Ilic, Leonel Sousa

View

Download (PDF)

Tags: Computer science, CUBLAS, CUDA, Data parallelism, FFT, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Presentation

August 28, 2011 by hgpu

Real-time photo style transfer

Hanli Zhao, Xiaogang Jin, Jianbing Shen, Feifei Wei

View

Download (PDF)

Tags: CUDA, DirectX, Image processing, nVidia, nVidia GeForce 8800 GTS, Real-time graphics

August 28, 2011 by hgpu

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

Kalyan S. Perumalla

View

Download (PDF)

Tags: Computer science, CUDA, MPI, nVidia, Performance, Review

August 27, 2011 by hgpu

A breadth-first course in multicore and manycore programming

Suzanne Rivoire

View

Download (PDF)

Tags: Computer science, CUDA, High-level Languages, nVidia, OpenMP, Programming techniques

August 27, 2011 by hgpu

A structured parallel periodic arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms

Xue-Xin Liu, Hao Yu, Jacob Relles, Sheldon X.-D. Tan

View

Download (PDF)

Tags: Algorithms, CAD, Computer science, CUDA, Numerical Analysis, nVidia, Performance, Tesla C1060

August 27, 2011 by hgpu

Rapid RNA Folding: Analysis and Acceleration of the Zuker Recurrence

Arpith C. Jacob, Jeremy D. Buhler, Roger D. Chamberlain

View

Download (PDF)

Tags: Algorithms, Bioinformatics, Biology, Computational biology, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, RNA, Tesla C870

August 27, 2011 by hgpu

A New Approach for Color Character Extraction Based on Parallel Clustering

Miao Qing, Fu Zhong-liang, Zhao Xiang-hui

Tags: Algorithms, Clustering, CUDA, Image processing, nVidia

August 27, 2011 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

Multicore bundle adjustment

FastMag: Fast micromagnetic simulator for complex magnetic structures

An FPGA-specific algorithm for direct generation of multi-variate Gaussian random numbers

CUDA accelerated iris template matching on Graphics Processing Units (GPUs)

Real-time task reconfiguration support applied to an UAV-based surveillance system

Collaborative execution environment for heterogeneous parallel systems

Real-time photo style transfer

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

A breadth-first course in multicore and manycore programming

A structured parallel periodic arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms

Rapid RNA Folding: Analysis and Acceleration of the Zuker Recurrence

A New Approach for Color Character Extraction Based on Parallel Clustering

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)