high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

Jin Wang, Sudhakar Yalamanchili

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX Titan, Tesla K20, Tesla K40

September 11, 2014 by hgpu

Parallelized Seeded Region Growing using CUDA

Seongjin Park, Jeongjin Lee, Hyunna Lee, Juneseuk Shin, Jinwook Seo, Kyoung Ho Lee, Yeong-Gil Shin, Bohyoung Kim

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, HLSL, Medicine, nVidia, nVidia GeForce GTX 285

September 11, 2014 by hgpu

Ray Traced Rendering Using GPGPU Devices

Coby Soss

View

Download (PDF)

Tags: ATI, ATI Mobility Radeon HD 5870, Computer science, OpenCL, Raytracing, Rendering, Thesis

September 11, 2014 by hgpu

Enhancing R with Advanced Compilation Tools and Methods

Duncan Temple Lang

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Mathematical Software, nVidia, Programming Languages

September 11, 2014 by hgpu

Parallel Multi-dimensional Range Query Processing with R-Trees on GPU

Jinwoong Kim, Beomseok Nam

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Databases, Indexing, nVidia, Tesla M2090

September 9, 2014 by hgpu

Improvements to Physically Based Cloth Simulation

Tsz Ho Wong

View

Download (PDF)

Tags: 3D Graphics and Realism, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 780, Review, Thesis

September 9, 2014 by hgpu

A Validation Testsuite for OpenACC 1.0

Cheng Wang, Rengan Xu, Sunita Chandrasekaran, Barbara Chapman, Oscar Hernandez

View

Download (PDF)

Tags: Compilers, Computer science, Fortran, nVidia, OpenACC, Tesla K20

September 9, 2014 by hgpu

Professional CUDA C Programming

John Cheng, Max Grossman, Ty McKercher

View

Download (PDF)

Tags: Algorithms, Book, Computer science, CUDA, Memory model, nVidia, Review

September 8, 2014 by hgpu

Document Classification Using KNN on GPU

S.G. Lade, Nikhil Vyawahare

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 520 M, Text mining

September 8, 2014 by hgpu

Sparse array representations and some selected array operations on GPUs

Hairong Wang

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Sparse matrix, Thesis

September 8, 2014 by hgpu

A CUDA Back-End for the Equelle Compiler

Havard Heitlo Holm

View

Download (PDF)

Source codes

Tags: Compilers, Computer science, CUDA, Differential equations, Finite volume method, Heterogeneous systems, nVidia, nVidia Quadro NVS 5200 M, Package, Partial differential equations, PDEs, Tesla K40, Thesis

September 8, 2014 by hgpu

Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

Shuai Che, Jiayuan Meng, Kevin Skadron

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

September 5, 2014 by hgpu

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

ThunderKittens: Tile primitives for speedy kernels

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

NVIDIA Nemotron Parse 1.1

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

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

Parallelized Seeded Region Growing using CUDA

Ray Traced Rendering Using GPGPU Devices

Enhancing R with Advanced Compilation Tools and Methods

Parallel Multi-dimensional Range Query Processing with R-Trees on GPU

Improvements to Physically Based Cloth Simulation

A Validation Testsuite for OpenACC 1.0

Professional CUDA C Programming

Document Classification Using KNN on GPU

Sparse array representations and some selected array operations on GPUs

A CUDA Back-End for the Equelle Compiler

Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

Recent source codes

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

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

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

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

Most viewed papers (last 30 days)