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Evaluating polynomials in several variables and their derivatives on a GPU computing processor

Jan Verschelde, Genady Yoffe

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, Tesla C2050

January 4, 2012 by hgpu

Decoupled Deferred Shading for Hardware Rasterization

Gabor Liktor, Carsten Dachsbacher

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 580, Rasterization, Rendering

January 4, 2012 by hgpu

Building Source-to-Source Compilers for Heterogeneous Targets

Serge Guelton

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Tags: Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia Quadro FX 2700 M, Thesis

January 4, 2012 by hgpu

GPU TV-L1 Optical Flow

Brian Hrolenok, Chris McClanahan

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 330 M, OpenCL, Optical flow, Security

January 4, 2012 by hgpu

Efficient and Good Delaunay Meshes From Random Points

Mohamed S. Ebeida, Scott A. Mitchell, Andrew A. Davidson, Anjul Patney, Patrick M. Knupp, John D. Owens

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Probability, Rendering, Triangular meshes

January 4, 2012 by hgpu

GPGPU Accelerated Texture-Based Radiosity

Sungkono Surya Tjahyono, Christof Lutteroth, Burkhard Wunsche

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Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 550 Ti, OpenCL, OpenGL, Rendering

January 3, 2012 by hgpu

OpenCL Sparse Linear Solver for Circuit Simulation

Jason Mak, Matthew Guthaus

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Tags: Algorithms, Computer science, Electronic design automation, nVidia, nVidia GeForce GTS 250, OpenCL

January 3, 2012 by hgpu

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Mayank Daga, Thomas Scogland, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Performance

January 3, 2012 by hgpu

GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering

Chao Peng, Yong Cao

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Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia Quadro FX 5000, Rendering

January 3, 2012 by hgpu

An optimal k-exclusion real-time locking protocol motivated by multi-GPU systems

Glenn A. Elliott, James H. Anderson

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Tags: Algorithms, Computer science, GPU cluster, Task scheduling

January 3, 2012 by hgpu

GPU Computing for Parallel Local Search Metaheuristics

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Optimization, Tesla M2050

January 3, 2012 by hgpu

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Kunihiko Ikeda, Chihiro Matsunuma, Hiroshi Masuda

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 3, 2012 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

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high performance computing on graphics processing units: hgpu.org

Applications

Evaluating polynomials in several variables and their derivatives on a GPU computing processor

Decoupled Deferred Shading for Hardware Rasterization

Building Source-to-Source Compilers for Heterogeneous Targets

GPU TV-L1 Optical Flow

Efficient and Good Delaunay Meshes From Random Points

GPGPU Accelerated Texture-Based Radiosity

OpenCL Sparse Linear Solver for Circuit Simulation

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering

An optimal k-exclusion real-time locking protocol motivated by multi-GPU systems

GPU Computing for Parallel Local Search Metaheuristics

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

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

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