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An MDE Approach for Automatic Code Generation from MARTE to OpenCL

Antonio Wendell De Oliveira Rodrigues, Frederic Guyomarc'H, Jean-Luc Dekeyser

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Tags: Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL

September 24, 2011 by hgpu

Integrated Framework for Heterogeneous Embedded Platforms Using OpenCL

Kulin V. Seth

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Tags: Benchmarking, Computer science, DSP, Embedded high-performance computing, Heterogeneous systems, OpenCL, Optimization, Thesis

September 23, 2011 by hgpu

Embedding OpenCL in C++ for Expressive GPU Programming

Orion Lawlor

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Tags: ATI, ATI Radeon HD 6850, Benchmarking, Code generation, Computer science, GLSL, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 460 M, nVidia GeForce GTX 580, OpenCL, OpenGL, Package

September 23, 2011 by hgpu

Improving SIMT Efficiency of Global Rendering Algorithms with Architectural Support for Dynamic Micro-Kernels

Michael Steffen, Joseph Zambreno

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance, PTX, Rendering

September 23, 2011 by hgpu

Accelerating reaction-diffusion simulations with general-purpose graphics processing units

Matthias Vigelius, Aidan Lane, Bernd Meyer

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Package, Rendering, Stochastic simulation

September 23, 2011 by hgpu

Parallel processing on NVIDIA graphics processing units using CUDA

Erik Wynters

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Tags: Computer science, CUDA, Education, nVidia, nVidia GeForce 9800 GT, Tutorial

September 23, 2011 by hgpu

Functional and dynamic programming in the design of parallel prefix networks

Mary Sheeran

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Tags: Computer science, Networks

September 23, 2011 by hgpu

Image super-resolution by vectorizing edges

Chia-Jung Hung, Chun-Kai Huang, Bing-Yu Chen

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Tags: Algorithms, Image processing

September 23, 2011 by hgpu

Acceleration of Functional Validation Using GPGPU

Lalith Suresh, Navaneeth Rameshan, M. S. Gaur, Mark Zwolinski, Vijay Laxmi

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Tags: Algorithms, Benchmarking, Computer science, Electronic design automation, nVidia, nVidia Quadro FX 1700, Tesla C870

September 23, 2011 by hgpu

Simple optimizations for an applicative array language for graphics processors

Bradford Larsen

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Optimization, Programming Languages, Programming techniques

September 23, 2011 by hgpu

Mathematical limits of parallel computation for embedded systems

Jason Loew, Jesse Elwell, Dmitry Ponomarev, Patrick H. Madden

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Tags: Computer science, Embedded high-performance computing, Performance

September 23, 2011 by hgpu

HHT-based time-frequency analysis method for biomedical signal applications

Chin-Feng Lin, Jin-De Zhu

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Tags: Algorithms, Medicine, Signal processing, Wavelet

September 23, 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

* * *

high performance computing on graphics processing units: hgpu.org

Applications

An MDE Approach for Automatic Code Generation from MARTE to OpenCL

Integrated Framework for Heterogeneous Embedded Platforms Using OpenCL

Embedding OpenCL in C++ for Expressive GPU Programming

Improving SIMT Efficiency of Global Rendering Algorithms with Architectural Support for Dynamic Micro-Kernels

Accelerating reaction-diffusion simulations with general-purpose graphics processing units

Parallel processing on NVIDIA graphics processing units using CUDA

Functional and dynamic programming in the design of parallel prefix networks

Image super-resolution by vectorizing edges

Acceleration of Functional Validation Using GPGPU

Simple optimizations for an applicative array language for graphics processors

Mathematical limits of parallel computation for embedded systems

HHT-based time-frequency analysis method for biomedical signal 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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