high performance computing on graphics processing units: hgpu.org

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Real-Time Volumetric Shadows using 1D Min-Max Mipmaps

Jiawen Chen, Ilya Baran, Fredo Durand, Wojciech Jarosz

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, nVidia, nVidia GeForce GTX 480, Pixel shaders

September 13, 2011 by hgpu

Exploring the use of glossy light volumes for interactive global illumination

Bernardt Duvenhage, Kadi Bouatouch, Derrick Kourie

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Tags: 3D Graphics and Realism, Algorithms, Computer science, GLSL, Image generation, nVidia, nVidia GeForce 9400 M, OpenGL

September 13, 2011 by hgpu

Data-intensive document clustering on graphics processing unit (GPU) clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, GPU cluster, nVidia, nVidia GeForce GTX 280, Tesla C1060

September 13, 2011 by hgpu

Lossless data compression on GPGPU architectures

Axel Eirola

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Tags: Algorithms, Compression, Computer science, Data Structures and Algorithms

September 13, 2011 by hgpu

Gate-Level Simulation with GPU Computing

Debapriya Chatterjee, Andrew Deorio, Valeria Bertacco

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Performance

September 13, 2011 by hgpu

Meta-simulation of large WSN on multi-core computers

Adnan Iqbal, Bernard Pottier

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Tags: Algorithms, Computer science, Networks, Optimization

September 12, 2011 by hgpu

Symbolic crosschecking of floating-point and SIMD code

Peter Collingbourne, Cristian Cadar, Paul H.J. Kelly

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Tags: Algorithms, Computer science, Package, Performance, Software Engineering

September 12, 2011 by hgpu

Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET

Simon Harding, Wolfgang Banzhaf

Tags: Algorithms, Artificial intelligence, Computer science, Genetic programming, Programming techniques

September 12, 2011 by hgpu

Unified Tables for Exponential and Logarithm Families

Christopher Kumar Anand, Anuroop Sharma

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Tags: Algorithms, Cell processor, Computer science, Elementary functions, Mathematics

September 11, 2011 by hgpu

Translation-invariant two-dimensional discrete wavelet transform on graphics processing units

Dietmar Wippig, Bernd Klauer

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Tags: Algorithms, ATI, ATI Radeon HD 4870, Discrete Wavelet Transform, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Shaders

September 11, 2011 by hgpu

SSLPV: subsurface light propagation volumes

Jesper Borlum, Brian Bunch Christensen, Thomas Kim Kjeldsen, Peter Trier Mikkelsen, Karsten Ostergaard Noe, Jens Rimestad, Jesper Mosegaard

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Tags: 3D Graphics and Realism, Algorithms, Computer science, GLSL, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenGL, Package, Rendering

September 11, 2011 by hgpu

High performance technique for database applications using a hybrid GPU/CPU platform

M. Affan Zidan, Talal Bonny, Khaled N. Salama

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Tags: Algorithms, Computer science, Databases, Presentation, Programming techniques, Sequence matching, Smith-Waterman algorithm

September 11, 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

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high performance computing on graphics processing units: hgpu.org

Real-Time Volumetric Shadows using 1D Min-Max Mipmaps

Exploring the use of glossy light volumes for interactive global illumination

Data-intensive document clustering on graphics processing unit (GPU) clusters

Lossless data compression on GPGPU architectures

Gate-Level Simulation with GPU Computing

Meta-simulation of large WSN on multi-core computers

Symbolic crosschecking of floating-point and SIMD code

Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET

Unified Tables for Exponential and Logarithm Families

Translation-invariant two-dimensional discrete wavelet transform on graphics processing units

SSLPV: subsurface light propagation volumes

High performance technique for database applications using a hybrid GPU/CPU platform

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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