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Mobile 3D Graphics

Alessio Malizia

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Tags: 3D Graphics and Realism, Book, Computer science, Programming Languages, Tutorial

February 8, 2011 by hgpu

Real-time relief mapping on arbitrary polygonal surfaces

Fabio Policarpo, Manuel M. Oliveira, Joao L

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Tags: 3D Graphics and Realism, Cg, Computer science, nVidia, nVidia GeForce FX 6800 GT, Real-time graphics, Rendering

February 8, 2011 by hgpu

Adaptive sampling of intersectable models exploiting image and object-space coherence

Anders Adamson, Marc Alexa, Andrew Nealen

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9800, Computer science, OpenGL

February 8, 2011 by hgpu

Automatic C-to-CUDA Code Generation for Affine Programs

Muthu Baskaran, J. Ramanujam, P. Sadayappan

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX

February 8, 2011 by hgpu

Automatic program parallelization for multicore processors

Jan Kwiatkowski, Radoslaw Iwaszyn

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Tags: Compilers, Computer science

February 8, 2011 by hgpu

Partitioning streaming parallelism for multi-cores: a machine learning based approach

Zheng Wang, Michael F. P. O'Boyle

Tags: Computer science, Optimization, Programming techniques

February 8, 2011 by hgpu

Towards On-Line Digital Doubles

Andreas Griesser, Nico Cornelis, Luc J. Van Gool

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Tags: Computer vision, Image processing, nVidia, nVidia GeForce 6800 GT, Shaders

February 8, 2011 by hgpu

Programmable shaders for deformation rendering

Carlos D. Correa, Deborah Silver

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia Quadro FX 4400, Rendering, Shaders

February 8, 2011 by hgpu

Data parallel acceleration of decision support queries using Cell/BE and GPUs

Pedro Trancoso, Despo Othonos, Artemakis Artemiou

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Tags: Algorithms, Cell processor, Computer science, DirectX, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 GTS, Performance, RapidMind

February 7, 2011 by hgpu

Learning to Detect Roads in High-Resolution Aerial Images

Volodymyr Mnih and Geoffrey E. Hinton

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia

February 7, 2011 by hgpu

Axel: a heterogeneous cluster with FPGAs and GPUs

Kuen Hung Tsoi, Wayne Luk

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Tags: Computer science, CUDA, FPGA, GPU cluster, Heterogeneous systems, nVidia, OpenMPI, Tesla C1060

February 7, 2011 by hgpu

High-Quality Point-Based Rendering on Modern GPUs

Mario Botsch, Leif Kobbelt

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Tags: Computer science, Filtering, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL, Rendering

February 7, 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

Applications

Mobile 3D Graphics

Real-time relief mapping on arbitrary polygonal surfaces

Adaptive sampling of intersectable models exploiting image and object-space coherence

Automatic C-to-CUDA Code Generation for Affine Programs

Automatic program parallelization for multicore processors

Partitioning streaming parallelism for multi-cores: a machine learning based approach

Towards On-Line Digital Doubles

Programmable shaders for deformation rendering

Data parallel acceleration of decision support queries using Cell/BE and GPUs

Learning to Detect Roads in High-Resolution Aerial Images

Axel: a heterogeneous cluster with FPGAs and GPUs

High-Quality Point-Based Rendering on Modern GPUs

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)