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Efficient Implementation of RLS-Based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit

A. Hirano, K. Nakayama

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Tags: CUDA, Filtering, nVidia, nVidia GeForce 8800 GTS, Signal processing

September 5, 2013 by hgpu

Real-Time Motion Artifact Compensation for PMD-ToF Images

T. Hoegg, D. Lefloch, A. Kolb

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Tags: CUDA, Image processing, Motion compensation, nVidia, nVidia GeForce GTX 680

September 5, 2013 by hgpu

Work in Progress: Vortex Detection and Visualization for Design of Micro Air Vehicles and Turbomachinery

R.J. Vickery, H. Thornburg, T. Wischgoll, C. Koehler, H. Dong, M. Pickett, N. Eikenberry, L. Harris, R. Snyder, D. Sanders, R. Hand

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia

September 5, 2013 by hgpu

Transparent CPU-GPU Collaboration for Data-Parallel Kernels on Heterogeneous Systems

J. Lee, M. Samadi, Y. Park, S. Mahlke

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Tags: Data parallelism, Heterogeneous systems, nVidia, nVidia GeForce GTX 560, nVidia Quadro 600, OpenCL

September 5, 2013 by hgpu

GPU & CPU implementation of Young – Van Vliet’s Recursive Gaussian Smoothing Filter

I. Vidal-Migallón, O. Commowick, X. Pennec, J. Dauguet, T Vercauteren

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Tags: ATI Radeon HD 6970, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 650, OpenCL

September 5, 2013 by hgpu

Generation of the Scrambled Halton Sequence Using Accelerators

Emanouil Atanassov, Mariya Durchova

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, Tesla M2090

September 4, 2013 by hgpu

The discrete dipole approximation code DDscat.C++: features, limitations and plans

V. Ya. Choliy

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Tags: Astrophysics, CUDA, Fortran, nVidia, nVidia GeForce GTX 260, Package

September 4, 2013 by hgpu

Detecting multiple periodicities in observational data with the multi-frequency periodogram. II. Frequency Decomposer, a parallelized time-series analysis algorithm

Roman V. Baluev

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GT 210, Package

September 4, 2013 by hgpu

Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh

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Tags: Benchmarking, Computer science, Intel Phi, MapReduce

September 4, 2013 by hgpu

Accelerating a Cloud-Based Software GNSS Receiver

Kamran Karimi, Aleks G. Pamir, M. Haris Afzal

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti, Performance

September 4, 2013 by hgpu

Accurate and Efficient Filtering using Anistropic Filter Decomposition

Cyril Soler, Mahdi M. Bagher, Derek Nowrouzezahrai

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 670, Rendering

September 2, 2013 by hgpu

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

Jeff Young, Se Hoon Shon, Sudhakar Yalamanchili, Alex Merritt, Karsten Schwan

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Package

September 2, 2013 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

Efficient Implementation of RLS-Based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit

Real-Time Motion Artifact Compensation for PMD-ToF Images

Work in Progress: Vortex Detection and Visualization for Design of Micro Air Vehicles and Turbomachinery

Transparent CPU-GPU Collaboration for Data-Parallel Kernels on Heterogeneous Systems

GPU & CPU implementation of Young – Van Vliet’s Recursive Gaussian Smoothing Filter

The discrete dipole approximation code DDscat.C++: features, limitations and plans

Detecting multiple periodicities in observational data with the multi-frequency periodogram. II. Frequency Decomposer, a parallelized time-series analysis algorithm

Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

Accurate and Efficient Filtering using Anistropic Filter Decomposition

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

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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