high performance computing on graphics processing units: hgpu.org

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Reflector Antenna Analysis using Physical Optics on Graphics Processing Units

Oscar Borries, Hans Henrik Brandenborg Sorensen, Bernd Dammann, Erik Jorgensen, Peter Meincke, Stig Busk Sorensen, Per Christian Hansen

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Tags: CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 670, Optics, Physics

April 22, 2014 by hgpu

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

Michael Gowanlock, Henri Casanova, David Schanzenbach

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Tags: Computer science, Databases, nVidia, OpenCL, Tesla C2075

April 22, 2014 by hgpu

Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry

Franz G. Fuchs, Jon M. Hjelmervik, Erik C. Dyken, Erik W. Bjonnes

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Tags: Algorithms, Computer science, Differential equations, nVidia, nVidia GeForce GTX 680, ODEs, OpenGL, Ordinary differential equations, Rendering, Visualization

April 22, 2014 by hgpu

Measuring the evolving Internet ecosystem with exchange points

Mohammad Zubair Ahmad

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Tags: Computer science, CUDA, Machine learning, Networks, nVidia, nVidia GeForce 9400, nVidia GeForce GTX 260 M, Thesis

April 22, 2014 by hgpu

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Khari A. Armih

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia, nVidia GeForce GT 520, Thesis

April 21, 2014 by hgpu

Fast Efficient Artificial Neural Network for Handwritten Digit Recognition

Viragkumar N. Jagtap, Shailendra K. Mishra

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Tags: Computer science, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GT 630

April 21, 2014 by hgpu

Sparser, Better, Faster GPU Parsing

David Hall, Taylor Berg-Kirkpatrick, John Canny, Dan Klein

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Tags: Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Performance

April 21, 2014 by hgpu

Content Based Image Retrieval with Graphical Processing Unit

Bhavneet Kaur, Sonika Jindal

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Tags: Algorithms, CUDA, Image processing, Information Retrieval, nVidia

April 21, 2014 by hgpu

A GPU-Based Enhanced Genetic Algorithm for Power-Aware Task Scheduling Problem in HPC Cloud

Nguyen Quang-Hung, Le Thanh Tan, Chiem Thach Phat, Nam Thoai

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Tags: Cloud, Computer science, CUDA, nVidia, Probability, Task scheduling, Tesla M2090

April 21, 2014 by hgpu

Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction

Eric Papenhausen, Klaus Mueller

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 680

April 21, 2014 by hgpu

GACO: A GPU-based High Performance Parallel Multi-ant Colony Optimization Algorithm

Fan Li, Ming-lu Jin

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Optimization, Tesla C1060, Tesla C2050

April 21, 2014 by hgpu

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

M.Wozniak, K.Kuznik, M. Paszynski, V. M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 780, Performance, Tesla C2070

April 21, 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

Reflector Antenna Analysis using Physical Optics on Graphics Processing Units

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry

Measuring the evolving Internet ecosystem with exchange points

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Fast Efficient Artificial Neural Network for Handwritten Digit Recognition

Sparser, Better, Faster GPU Parsing

Content Based Image Retrieval with Graphical Processing Unit

Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction

GACO: A GPU-based High Performance Parallel Multi-ant Colony Optimization Algorithm

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

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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