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CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

Svetlin A. Manavski

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Tags: AES, ATI, ATI Radeon X1900, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenGL, Security

March 17, 2011 by hgpu

High-Throughput Transaction Executions on Graphics Processors

Bingsheng He, Jeffrey Xu Yu

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Tags: Computer science, CUDA, Databases, nVidia, Optimization, Tesla C1060

March 17, 2011 by hgpu

Mutual information computation and maximization using GPU

Yuping Lin

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

March 16, 2011 by hgpu

Direct evaluation of NURBS curves and surfaces on the GPU

Adarsh Krishnamurthy, Rahul Khardekar, Sara Mcmains

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, nVidia, nVidia GeForce FX 6800, nVidia Quadro FX 3000, nVidia Quadro FX 4500, OpenGL

March 16, 2011 by hgpu

Alignment invariant image comparison implemented on the GPU

Hans Roos, Yuko Roodt, W.A. Clarke

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Tags: Distance transform, Image alignment, Image processing, nVidia, nVidia GeForce 6800, nVidia GeForce 8800 GTX, OpenGL

March 16, 2011 by hgpu

Implementing the Himeno benchmark with CUDA on GPU clusters

Everett H. Phillips, Massimiliano Fatica

Tags: Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Performance, Tesla C1060

March 16, 2011 by hgpu

Rotationally invariant sparse patch matching on GPU and FPGA

Zachary K Baker, Reid Porter

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Tags: FPGA, Image processing, Nearest neighbour, nVidia, nVidia GeForce 7900 GTX, OpenGL

March 16, 2011 by hgpu

GPU-Based Techniques For Global Illumination Effects

L Szirmay-Kalos, Laszlo Szecsi, Mateu Sbert

Tags: 3D Graphics and Realism, Book, Computer science, DirectX, OpenGL, Programming techniques

March 16, 2011 by hgpu

GPU based acceleration of first principles calculation

H. Tomono, M. Aoki, T. Iitaka, K. Tsumuraya

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Tags: Chemistry, CUDA, FFT, Molecular modeling, nVidia, nVidia GeForce GTX 285

March 16, 2011 by hgpu

GPU-Based Volume Rendering for Medical Imagery

Hadjira Bentoumi, Pascal Gautron, Kadi Bouatouch

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Tags: Medicine, nVidia, nVidia GeForce 7950 GX2, OpenGL, Rendering, Visualization

March 16, 2011 by hgpu

GPU-based frequency domain volume rendering

Ivan Viola, Armin Kanitsar, Meister Eduard Groller

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Tags: ATI, ATI Radeon 9800 XT, Computer science, Image generation, OpenGL, Rendering

March 16, 2011 by hgpu

Patterns of Inefficient Performance Behavior in GPU Applications

Dominic Eschweiler, Daniel Becker, Felix Wolf

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Tesla T10

March 16, 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

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

High-Throughput Transaction Executions on Graphics Processors

Mutual information computation and maximization using GPU

Direct evaluation of NURBS curves and surfaces on the GPU

Alignment invariant image comparison implemented on the GPU

Implementing the Himeno benchmark with CUDA on GPU clusters

Rotationally invariant sparse patch matching on GPU and FPGA

GPU-Based Techniques For Global Illumination Effects

GPU based acceleration of first principles calculation

GPU-Based Volume Rendering for Medical Imagery

GPU-based frequency domain volume rendering

Patterns of Inefficient Performance Behavior in GPU Applications

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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