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Stereoscopic Ray Tracing on Graphics Processors

Alper Das

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Raytracing, Rendering, Thesis

December 30, 2012 by hgpu

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

Rohit Nigam, P. J. Narayanan

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Raytracing

December 29, 2012 by hgpu

Task-based Conjugate-Gradient for multi-GPUs platforms

Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Stojce Nakov, Jean Roman

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2070

December 25, 2012 by hgpu

Skeleton-based edge bundling for graph visualization

Ozan Ersoy, Christophe Hurter, Fernando V. Paulovich, Gabriel Cantareira, Alexandru Telea

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Tags: Clustering, Computer science, Graph theory, nVidia, nVidia GeForce GT 330 M, OpenGL, Visualization

December 25, 2012 by hgpu

Regularity versus Load-Balancing on GPU for treefix computations

David Defour, Manuel Marin

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Tags: Computer science, Graph theory, nVidia, nVidia GeForce GTX 670, OpenCL

December 25, 2012 by hgpu

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Ricardo Jorge dos Santos Marques

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Optimization, Programming techniques, Tesla C2050

December 25, 2012 by hgpu

Password Cracking in the Cloud

Gautam Korlam

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security

December 23, 2012 by hgpu

Employing GPU Accelerators for Efficient Enforcement of Data Integrity in Outsourced Data

Krishna Prasanth R, R. Mukkamala, P. K. Baruah

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Tags: Cloud, Computer science, CUDA, nVidia, Security, Tesla M2070, Tesla S2050

December 23, 2012 by hgpu

Toward GPU-accelerated Traffic Simulation and Its Real-Time Challenge

Manato Hirabayashi, Shinpei Kato, Masato Edahiro, Yuki Sugiyama

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Tags: Computational Physics, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti

December 23, 2012 by hgpu

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin

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Tags: ATI, ATI Radeon HD 6870, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 540 M, OpenCL, Optimization

December 23, 2012 by hgpu

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Liam Kiemele

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Source codes

Tags: Compilers, Computer science, nVidia, OpenCL, Package, Performance, Tesla C2075, Thesis

December 20, 2012 by hgpu

A Parallelized Algorithm for Hyperspectral Biometrics

Christopher Baker, Timothee Bouhour, Akshay Malik

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 650 M, Security

December 20, 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

Stereoscopic Ray Tracing on Graphics Processors

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

Task-based Conjugate-Gradient for multi-GPUs platforms

Skeleton-based edge bundling for graph visualization

Regularity versus Load-Balancing on GPU for treefix computations

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Toward GPU-accelerated Traffic Simulation and Its Real-Time Challenge

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

A Parallelized Algorithm for Hyperspectral Biometrics

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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