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Toward a Practical Implementation of Exemplar-Based Noise Robust ASR

Jort Gemmeke, Antti Hurmalainen, Tuomas Virtanen, Sun Yang

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Tags: Acoustics, Computer science, nVidia, nVidia GeForce GTX 460, Speech recognition

January 29, 2012 by hgpu

Construction of Efficient Kd-Trees for Static Scenes Using Voxel-visibility Heuristic

Byeongjun Choi, Byungjoon Chang, Insung Ihm

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Tags: Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 480, Raytracing, Rendering

January 29, 2012 by hgpu

Parallelization of Myers Fast Bit-Vector Algorithm using GPGPU

Lars Langner

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenCL, Sequence alignment, String matching, Thesis

January 27, 2012 by hgpu

The system for visualization of synoptic objects

Sergey Melman, Valery Bobkov, Vladimir May

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, Shaders, Visualization

January 27, 2012 by hgpu

SMAA: Enhanced Subpixel Morphological Antialiasing

Jorge Jimenez, Jose I. Echevarria, Tiago Sousa, Diego Gutierrez

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Tags: Algorithms, DirectX, Image generation, Image processing, nVidia, nVidia GeForce GTX 470, Package

January 27, 2012 by hgpu

Bilateral Filtering with CUDA

Lasse Klojgaard Staal

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 460, Package

January 27, 2012 by hgpu

Accelerating incoherent dedispersion

Benjamin R. Barsdell, Matthew Bailes, David G. Barnes, Christopher J. Fluke

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

January 27, 2012 by hgpu

Parallel particle swarm optimization using GPGPU

Iliana Castro Liera, Marco Antonio Castro Liera, Jesus Antonio Castro

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTX 460, Optimization

January 26, 2012 by hgpu

Defocus Magnification with CUDA

Chih-Wei Chen, Chun-Ta Lin, Yu-Lin Sung, Chiou-Shann Fuh

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Tags: Algorithms, CUDA, Image processing, nVidia

January 26, 2012 by hgpu

GPU Nonlinear Fixed Points, with an application to GPU IFS Rendering

Orion Sky Lawlor

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Package, Rendering

January 26, 2012 by hgpu

Accounting for Uncertainty in Medical Data: A CUDA Implementation of Normalized Convolution

Stefan Lindholm, Joel Kronander

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Tags: CUDA, Image generation, Image processing, Medicine, nVidia, nVidia GeForce GTX 560 Ti, Signal processing

January 26, 2012 by hgpu

CUDA raytracing algorithm for visualizing discrete element model output

Anders Damsgaard Christensen

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 4000, Package, Raytracing

January 26, 2012 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

Toward a Practical Implementation of Exemplar-Based Noise Robust ASR

Construction of Efficient Kd-Trees for Static Scenes Using Voxel-visibility Heuristic

Parallelization of Myers Fast Bit-Vector Algorithm using GPGPU

The system for visualization of synoptic objects

SMAA: Enhanced Subpixel Morphological Antialiasing

Bilateral Filtering with CUDA

Accelerating incoherent dedispersion

Parallel particle swarm optimization using GPGPU

Defocus Magnification with CUDA

GPU Nonlinear Fixed Points, with an application to GPU IFS Rendering

Accounting for Uncertainty in Medical Data: A CUDA Implementation of Normalized Convolution

CUDA raytracing algorithm for visualizing discrete element model output

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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