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FPGA vs. multi-core CPUs vs. GPUs: hands-on experience with a sorting application

Cristian Grozea, Zorana Bankovic, Pavel Laskov

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia Quadro FX 5600, OpenMP, Sorting

September 7, 2011 by hgpu

Parallel packet classification using GPU co-processors

Alastair Nottingham, Barry Irwin

Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, Security

September 7, 2011 by hgpu

Parallel implementation of conjugate gradient method on graphics processors

Marcin Wozniak, Tomasz Olas, Roman Wyrzykowski

Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Sparse matrix, Tesla C1060

September 7, 2011 by hgpu

CUDA-based GPU Implementation of Hierarchical Belief Propagation for Fast Stereo Matching

Jae-Il Jung, Yo-Sung Ho

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470

September 6, 2011 by hgpu

Electromagnetic effects in capacitively coupled plasma simulated with a PIC-MCC darwin code

D. Eremin, T. Mussenbrock, R.-P. Brinkmann, M. Gebhardt

Tags: Electrodynamics, Maxwell's equations, nVidia, Particle-in-cell methods, Plasma physics

September 6, 2011 by hgpu

Virtual Rheoscopic Fluids

Florian Hecht, Peter J. Mucha, Greg Turk

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Tags: Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Raytracing, Visualization

September 5, 2011 by hgpu

Graphical future

Chris Edwards

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Tags: Computer science, nVidia, Review

September 5, 2011 by hgpu

Fast Construction of SAH BVHs on the Intel Many Integrated Core (MIC) Architecture

Ingo Wald

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Tags: 3D Graphics and Realism, Computer science, KD-tree, nVidia, nVidia GeForce GTX 280, Optimization

September 5, 2011 by hgpu

A CUDA-based parallel implementation of K-nearest neighbor algorithm

Shenshen Liang, Ying Liu, Cheng Wang, Liheng Jian

Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Optimization

September 5, 2011 by hgpu

Real-Time Tone Mapping for High-Resolution HDR Images

Hanli Zhao, Xiaogang Jin, Jianbing Shen

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering

September 5, 2011 by hgpu

Fault table generation using Graphics Processing Units

K. Gulati, S.P. Khatri

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Tags: Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 280

September 5, 2011 by hgpu

Isocube: Exploiting the Cubemap Hardware

Liang Wan, Tien-Tsin Wong, Chi-Sing Leung

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Tags: 3D Graphics and Realism, Cg, Computer science, Filtering, nVidia, nVidia GeForce FX 6800 Ultra, OpenGL

September 5, 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

FPGA vs. multi-core CPUs vs. GPUs: hands-on experience with a sorting application

Parallel packet classification using GPU co-processors

Parallel implementation of conjugate gradient method on graphics processors

CUDA-based GPU Implementation of Hierarchical Belief Propagation for Fast Stereo Matching

Electromagnetic effects in capacitively coupled plasma simulated with a PIC-MCC darwin code

Virtual Rheoscopic Fluids

Graphical future

Fast Construction of SAH BVHs on the Intel Many Integrated Core (MIC) Architecture

A CUDA-based parallel implementation of K-nearest neighbor algorithm

Real-Time Tone Mapping for High-Resolution HDR Images

Fault table generation using Graphics Processing Units

Isocube: Exploiting the Cubemap Hardware

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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