high performance computing on graphics processing units: hgpu.org

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Multimodality imaging and state-of-art GPU technology in discriminating benign from malignant breast lesions on real time decision support system

S. Kostopoulos, K. Sidiropoulos, D. Glotsos, N. Dimitropoulos, I. Kalatzis, P. Asvestas and D. Cavouras

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce 580GTX, Pattern recognition, Ultrasound

March 19, 2014 by hgpu

Competing computational approaches to reaction-diffusion equations in clusters of cells

S. Stella, R. Chignola, E. Milotti

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Tags: Biology, CUDA, Diffusion equation, Medicine, nVidia, nVidia Quadro 4000, Partial differential equations, PDEs

March 19, 2014 by hgpu

A Unified Approach for Registration and Depth in Depth from Defocus

Rami Ben-Ari

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Stereo vision, Thesis

March 18, 2014 by hgpu

Programming Frameworks for Distributed Smartphone Computing

Roelof Kemp

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Tegra, Thesis

March 18, 2014 by hgpu

Dynamic Load Balancing using Graphics Processors

R. Mohan, N. P. Gopalan

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Tags: Computer science, CUDA, nVidia, Performance, Task scheduling

March 18, 2014 by hgpu

Towards a Unified Sentiment Lexicon Based on Graphics Processing Units

Liliana Ibeth Barbosa-Santillan, Inmaculada Alvarez-de-Mon y-Rego

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro 600, Tesla C2075

March 18, 2014 by hgpu

Prototyping methodology of image processing applications on heterogeneous parallel systems

Jinglin Zhang

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 7800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GT 540 M, OpenCL, Thesis

March 17, 2014 by hgpu

An optimized algorithm for discrete element system analysis using CUDA

Zhaosong Ma, Chun Feng, Tianping Liu, Shihai Li

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Tags: Algorithms, Computer science, CUDA, Finite element method, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla C2070

March 17, 2014 by hgpu

Shape Transformation of Multidimensional Density Functions using Distribution Interpolation of the Radon Transforms

Marton Jozsef Toth, Balazs Csebfalvi

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Tags: Algorithms, Computer science, CUDA, nVidia, Radon transform, Tesla M2070

March 17, 2014 by hgpu

CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

Julio Camarero Mateo

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, Tesla C2075, Thesis

March 17, 2014 by hgpu

Minimal models for finite particles in fluctuating hydrodynamics

Florencio Balboa Usabiaga

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Tags: CUDA, Finite volume method, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, Thesis

March 17, 2014 by hgpu

Multi-GPU cluster wave propagation and OpenGL visualization

Jacob Lundgren, Nils Olofsson

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Tags: Computer science, CUDA, Finite difference, GPU cluster, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 670, OpenGL, Visualization

March 15, 2014 by hgpu

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

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

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

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

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high performance computing on graphics processing units: hgpu.org

Multimodality imaging and state-of-art GPU technology in discriminating benign from malignant breast lesions on real time decision support system

Competing computational approaches to reaction-diffusion equations in clusters of cells

A Unified Approach for Registration and Depth in Depth from Defocus

Programming Frameworks for Distributed Smartphone Computing

Dynamic Load Balancing using Graphics Processors

Towards a Unified Sentiment Lexicon Based on Graphics Processing Units

Prototyping methodology of image processing applications on heterogeneous parallel systems

An optimized algorithm for discrete element system analysis using CUDA

Shape Transformation of Multidimensional Density Functions using Distribution Interpolation of the Radon Transforms

CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

Minimal models for finite particles in fluctuating hydrodynamics

Multi-GPU cluster wave propagation and OpenGL visualization

Recent source codes

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

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

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

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

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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