high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Near real-time Fast Bilateral Stereo on the GPU

Stefano Mattoccia, Marco Viti, Florian Ries

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Optimization, Tesla C2070

August 17, 2011 by hgpu

nGFSIM: A GPU-based fault simulator for 1-to-n detection and its applications

Huawei Li, Dawen Xu, Yinhe Han, Kwang-Ting Cheng, Xiaowei Li

View

Download (PDF)

Tags: Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce 9800 GTX

August 17, 2011 by hgpu

Realtime Ray Tracing on GPU with BVH-based Packet Traversal

Johannes Gunther, Stefan Popov, Hans-Peter Seidel, Philipp Slusallek

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTX, Raytracing

August 17, 2011 by hgpu

CUKNN: A parallel implementation of K-nearest neighbor on CUDA-enabled GPU

Shenshen Liang, Cheng Wang, Ying Liu, Liheng Jian

View

Download (PDF)

Tags: Computer science, CUDA, Nearest neighbour, nVidia, Optimization, Tesla C1060

August 17, 2011 by hgpu

High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU

Ali Emami, Abbas Bigdeli, Adam Postula

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, FFT, nVidia, nVidia GeForce GTX 285, OpenCL

August 17, 2011 by hgpu

Robotic approach to multi-beam optical tweezers with Computer Generated Hologram

Kazuhisa Onda, Fumihito Arai

View

Download (PDF)

Tags: Computer science, Computer vision, FFT, nVidia, Tesla C1060

August 17, 2011 by hgpu

Regular Expression Matching and Operational Semantics

Asiri Rathnayake, Hayo Thielecke

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Logic in Computer Science, nVidia, Package

August 17, 2011 by hgpu

Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)

Ping Li, Anshumali Shrivastava, Christian Konig

View

Download (PDF)

Tags: Algorithms, Computer science, Machine learning

August 16, 2011 by hgpu

Topical perspective on massive threading and parallelism

Robert M. Farber

Tags: Computer science, CUDA, nVidia, OpenCL, Review

August 16, 2011 by hgpu

Tileable BTF

Man-Kang Leung, Wai-Man Pang, Chi-Wing Fu, Tien-Tsin Wong, Pheng-Ann Heng

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, Image generation, Rendering

August 16, 2011 by hgpu

Browsing Large Image Datasets through Voronoi Diagrams

Paolo Brivio, Marco Tarini, Paolo Cignon

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce GT 130 M, Visualization, Voronoi diagram

August 16, 2011 by hgpu

Accelerating the Nonuniform Fast Fourier Transform Using FPGAs

Srinidhi Kestur, Sungho Park, Kevin M. Irick, Vijaykrishnan Narayanan

View

Download (PDF)

Tags: Algorithms, Computer science, FFT, FPGA, Performance, Sorting

August 16, 2011 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Near real-time Fast Bilateral Stereo on the GPU

nGFSIM: A GPU-based fault simulator for 1-to-n detection and its applications

Realtime Ray Tracing on GPU with BVH-based Packet Traversal

CUKNN: A parallel implementation of K-nearest neighbor on CUDA-enabled GPU

High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU

Robotic approach to multi-beam optical tweezers with Computer Generated Hologram

Regular Expression Matching and Operational Semantics

Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)

Topical perspective on massive threading and parallelism

Tileable BTF

Browsing Large Image Datasets through Voronoi Diagrams

Accelerating the Nonuniform Fast Fourier Transform Using FPGAs

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

Most viewed papers (last 30 days)