high performance computing on graphics processing units: hgpu.org

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3D GPU Architecture using Cache Stacking: Performance, Cost, Power and Thermal analysis

Ahmed Al Maashri, Guangyu Sun, Xiangyu Dong, Vijay Narayanan and Yuan Xie

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Tags: Computer science, CUDA, Hardware Architecture, Memory, Memory model, nVidia, nVidia GeForce 6400 GT

February 3, 2011 by hgpu

3D finite element numerical integration on GPUs

Pawel Maciol, Przemyslaw Plaszewski and Krzysztof Banasa

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Tags: Computer science, CUDA, Finite element method, nVidia, nVidia GeForce 8800 GTX

February 3, 2011 by hgpu

Data access optimized applications on the GPU using NVIDIA CUDA

Dheevatsa Mudiger

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Tags: Computer science, CUDA, Data Structures and Algorithms, Fluid dynamics, nVidia, Tesla C1060, Tesla C870, Thesis

February 3, 2011 by hgpu

High Performance Power Spectrum Analysis Using a FPGA Based Reconfigurable Computing Platform

Yogindra Abhyankar, Sajish C., Yogesh Agarwal, C.R. Subrahmanya, Peeyush Prasad

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Tags: FFT, FPGA, Signal processing

February 3, 2011 by hgpu

Real-time PCA calculation for spectral imaging (using SIMD and GP-GPU)

Radovan Josth, Jukka Antikainen, Jiri Havel, Adam Herout, Pavel Zemcik, Markku Hauta-Kasari

Tags: CUDA, Image processing, nVidia

February 2, 2011 by hgpu

Software parallel CAVLC encoder based on stream processing

Ju Ren, Yi He, Wei Wu, Mei Wen, Nan Wu, Chunyuan Zhang

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Tags: Computer science, H.264/AVC, nVidia, nVidia GeForce 8800 GTX, Video decoding

February 2, 2011 by hgpu

Cortical architectures on a GPGPU

Andrew Nere, Mikko Lipasti

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, Programming techniques, Tesla C1060

February 2, 2011 by hgpu

Learning Two-View Stereo Matching

Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung and Long Quan

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 8800 GTX

February 2, 2011 by hgpu

Adaptive enhancement and noise reduction in very low light-level video

Henrik Malm, Magnus Oskarsson, Eric Warrant, Petrik Clarberg, Jon Hasselgren, Calle Lejdfors

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Tags: Algorithms, Filtering, Image processing, nVidia, nVidia GeForce 8800

February 2, 2011 by hgpu

Delta-stepping: a parallelizable shortest path algorithm

U. Meyer, P. Sanders

Tags: Algorithms, Computer science, Graph theory, Path problems

February 2, 2011 by hgpu

OpenGL(R) ES 2.0 Programming Guide

Aaftab Munshi, Dan Ginsburg, Dave Shreiner

Tags: Book, Computer science, OpenGL, Programming techniques, Tutorial

February 2, 2011 by hgpu

OpenGL SuperBible: Comprehensive Tutorial and Reference (5th Edition)

Richard S. Wright, Nicholas Haemel, Graham Sellers, Benjamin Lipchak

Tags: Book, Computer science, OpenGL, Programming techniques, Tutorial

February 2, 2011 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Applications

3D GPU Architecture using Cache Stacking: Performance, Cost, Power and Thermal analysis

3D finite element numerical integration on GPUs

Data access optimized applications on the GPU using NVIDIA CUDA

High Performance Power Spectrum Analysis Using a FPGA Based Reconfigurable Computing Platform

Real-time PCA calculation for spectral imaging (using SIMD and GP-GPU)

Software parallel CAVLC encoder based on stream processing

Cortical architectures on a GPGPU

Learning Two-View Stereo Matching

Adaptive enhancement and noise reduction in very low light-level video

Delta-stepping: a parallelizable shortest path algorithm

OpenGL(R) ES 2.0 Programming Guide

OpenGL SuperBible: Comprehensive Tutorial and Reference (5th Edition)

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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