high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Improved Programming of GPU Architectures through Automated Data Allocation and Loop Restructuring

Andrea Di Biagio, Giovanni Agosta

Tags: Computer science, CUDA, nVidia, OpenMP, Programming techniques

June 21, 2011 by hgpu

Scalable Streaming-Array of Simple Soft-Processors for Stencil Computations with Constant Memory-Bandwidth

Kentaro Sano, Yoshiaki Hatsuda, Satoru Yamamoto

View

Download (PDF)

Tags: Computer science, FPGA, nVidia, Poster, Tesla C1060

June 21, 2011 by hgpu

Fast, parallel, GPU-based construction of space filling curves and octrees

Prekshu Ajmera, Rhushabh Goradia, Sharat Chandran, Srinivas Aluru

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800, Visualization

June 21, 2011 by hgpu

A Scalable End-to-End Optimized Real-Time Image-Based Rendering Framework on Graphics Hardware

Sammy Rogmans, Jiangbo Lu, Gauthier Lafruit

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce 7900 GTX, nVidia GeForce 8800 GT, nVidia Quadro FX 1600 M, Presentation, Rendering

June 20, 2011 by hgpu

Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format

Wei Cao, Lu Yao, Zongzhe Li, Yongxian Wang, Zhenghua Wang

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sparse matrix

June 20, 2011 by hgpu

Second Order Pre-Integrated Volume Rendering

Jean-Francois El Hajjar, Stephane Marchesin, Jean-Michel Dischler, Catherine Mongenet

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 7800 GTX, OpenGL, Rendering

June 20, 2011 by hgpu

Large-Scale Stereo Display Wall Using Programmable Graphics Hardware

Ig-Jae Kim, Sang Chul Ahn, Hyoung-Gon Kim

Tags: Computer science, Computer vision, Stereo vision

June 20, 2011 by hgpu

Efficient Surface Reconstruction From Noisy Data Using Regularized Membrane Potentials

A.C. Jalba, J.B.T.M. Roerdink

View

Download (PDF)

Tags: Computer science, Image reconstruction, Mass-spring systems, nVidia, nVidia GeForce FX 5900 Ultra

June 20, 2011 by hgpu

Distance field transform with an adaptive iteration method

Fan Chen, Ye Zhao

View

Download (PDF)

Tags: Algorithms, Computer science, Distance transform

June 20, 2011 by hgpu

A Parallel Streaming Motion Estimation for Real-Time HD H.264 Encoding on Programmable Processors

Ju Ren, Mei Wen, Chunyuan Zhang, Huayou Su, Yi He, Nan Wu

View

Download (PDF)

Tags: Computer science, H.264/AVC, nVidia, nVidia GeForce 8800 GT, Video decoding

June 20, 2011 by hgpu

Volumetric Ambient Occlusion for Real-Time Rendering and Games

Laszlo Szirmay-Kalos, Tamas Umenhoffer, Balazs Toth, Laszlo Szecsi, Mateu Sbert

View

Download (PDF)

Tags: Algorithms, Computer science, Games, Real-time graphics, Rendering

June 20, 2011 by hgpu

Auto-tuning Dense Matrix Multiplication for GPGPU with Cache

Xiang Cui, Yifeng Chen, Changyou Zhang, Hong Mei

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla C2050

June 19, 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

Improved Programming of GPU Architectures through Automated Data Allocation and Loop Restructuring

Scalable Streaming-Array of Simple Soft-Processors for Stencil Computations with Constant Memory-Bandwidth

Fast, parallel, GPU-based construction of space filling curves and octrees

A Scalable End-to-End Optimized Real-Time Image-Based Rendering Framework on Graphics Hardware

Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format

Second Order Pre-Integrated Volume Rendering

Large-Scale Stereo Display Wall Using Programmable Graphics Hardware

Efficient Surface Reconstruction From Noisy Data Using Regularized Membrane Potentials

Distance field transform with an adaptive iteration method

A Parallel Streaming Motion Estimation for Real-Time HD H.264 Encoding on Programmable Processors

Volumetric Ambient Occlusion for Real-Time Rendering and Games

Auto-tuning Dense Matrix Multiplication for GPGPU with Cache

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)