high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format

Joseph L. Greathouse, Mayank Daga

View

Download (PDF)

Tags: Algorithms, AMD FirePro W9100, ATI, Computer science, Linear Algebra, OpenCL, Sparse matrix

November 4, 2015 by hgpu

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices

Mayank Daga, Joseph L. Greathouse

View

Download (PDF)

Source codes

Tags: Algorithms, AMD FirePro W9100, APU, ATI, Computer science, Linear Algebra, OpenCL, Package, Sparse matrix

November 3, 2015 by hgpu

Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

Ayaz ul Hassan Khan, Mayez Al-Mouhamed, Allam Fatayer, Anas Almousa, Abdulrahman Baqais, Mohammed Assayony

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro FX 7000, Performance

October 29, 2015 by hgpu

GPU Ray-Traced Collision Detection for Cloth Simulation

Francois Lehericey, Valerie Gouranton, Bruno Arnaldi

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, AMD FirePro W9100, ATI, Collision detection, Computer science, OpenCL, Raytracing

October 29, 2015 by hgpu

Pairwise Sequence Alignment with Gaps with GPU

Thomas C. Carroll, Jude-Thaddeus Ojiaku, Prudence W.H. Wong

View

Download (PDF)

Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 650, OpenCL, Sequence alignment

October 27, 2015 by hgpu

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Aaron Q Li

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 5870, Bayesian, Computer science, GPU cluster, Machine learning, NLP, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

October 25, 2015 by hgpu

Join Algorithms on GPUs: A Revisit After Seven Years

Ran Rui, Hao Li, Yi-Cheng Tu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Databases, nVidia

October 25, 2015 by hgpu

Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

David Fan

View

Download (PDF)

Tags: Algorithms, FPGA, Heterogeneous systems, nVidia, OpenCL, SAR, Signal processing, Tesla K40, Thesis

October 18, 2015 by hgpu

Density-based parallel skin lesion border detection with webCL

James Lemon, Sinan Kockara, Tansel Halic, Mutlu Mete

View

Download (PDF)

Tags: Algorithms, Bioinformatics, Clustering, Heterogeneous systems, Image processing, Java, OpenCL

October 16, 2015 by hgpu

A progressive mesh method for physical simulations using lattice Boltzmann method on single-node multi-gpu architectures

Julien Duchateau, Francois Rousselle, Nicolas Maquignon, Gilles Roussel, Christophe Renaud

View

Download (PDF)

Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C2050

October 16, 2015 by hgpu

A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection

Chun-Liang Lee, Yi-Shan Lin, Yaw-Chung Chen

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 680, Security

October 13, 2015 by hgpu

GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection

Gil Shapira, Tal Hassner

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 720, Package

October 8, 2015 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

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices

Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

GPU Ray-Traced Collision Detection for Cloth Simulation

Pairwise Sequence Alignment with Gaps with GPU

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Join Algorithms on GPUs: A Revisit After Seven Years

Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

Density-based parallel skin lesion border detection with webCL

A progressive mesh method for physical simulations using lattice Boltzmann method on single-node multi-gpu architectures

A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection

GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection

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)