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A Hybrid Computational Grid Architecture for Comparative Genomics

A. Singh, Chen Chen, Weiguo Liu, W. Mitchell, B. Schmidt

Tags: Bioinformatics, Biology, Genetics, Sequence alignment

April 6, 2011 by hgpu

Barnes-hut treecode on GPU

Hu Jiang, Qianni Deng

Tags: Algorithms, Computer science, CUDA, N-body simulation, nVidia

April 6, 2011 by hgpu

Parallel and distributed seismic wave field modeling with combined Linux clusters and graphics processing units

T. Danek

Tags: Earth and Space Sciences, Seismic modeling, Seismology

April 6, 2011 by hgpu

Implementation of Ant Colony Algorithm Based on GPU

Wang Jiening, Dong Jiankang, Zhang Chunfeng

Tags: Algorithms, Computer science, Path problems

April 6, 2011 by hgpu

High-speed electromagnetic field simulation by HIE-FDTD method with GPGPU

M. Unno, H. Asai

Tags: CUDA, Electrodynamics, Finite-difference time-domain, nVidia

April 6, 2011 by hgpu

FSimGP^2: An Efficient Fault Simulator with GPGPU

Min Li, M.S. Hsiao

Tags: Algorithms, Computer science, CUDA, Fault simulation, nVidia

April 6, 2011 by hgpu

An implementation and its evaluation of password cracking tool parallelized on GPGPU

T. Murakami, R. Kasahara, T. Saito

Tags: Computer science, CUDA, nVidia, Security

April 5, 2011 by hgpu

Enabling Energy-Efficient Analysis of Massive Neural Signals Using GPGPU

Dan Chen, Lizhe Wang, Shuaiting Wang, Muzhou Xiong, Gregor von Laszewski, Xiaoli Li

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Tags: Biology, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 295, Signal processing

April 5, 2011 by hgpu

GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia

Dan Chen, Duan Li, Muzhou Xiong, Hong Bao, Xiaoli Li

Tags: Biology, Medicine, Signal processing

April 5, 2011 by hgpu

GpuWars: Design and Implementation of a GPGPU Game

Mark Joselli, Esteban Clua

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Tags: Artificial intelligence, Computer science, CUDA, Game physics, Games, nVidia, nVidia GeForce 8200 M, nVidia GeForce 8800 GS

April 5, 2011 by hgpu

Development of nonlinear filter bank system for real-time beautification of facial video using GPGPU

A. Yoda, Y. Iguchi, K. Arakawa

Tags: Filtering, Image processing

April 5, 2011 by hgpu

Neuromorphic models on a GPGPU cluster

Bing Han, T.M. Taha

Tags: Biology, GPU cluster, MPI, Neuroscience, nVidia, Tesla S1070

April 5, 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

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high performance computing on graphics processing units: hgpu.org

Applications

A Hybrid Computational Grid Architecture for Comparative Genomics

Barnes-hut treecode on GPU

Parallel and distributed seismic wave field modeling with combined Linux clusters and graphics processing units

Implementation of Ant Colony Algorithm Based on GPU

High-speed electromagnetic field simulation by HIE-FDTD method with GPGPU

FSimGP^2: An Efficient Fault Simulator with GPGPU

An implementation and its evaluation of password cracking tool parallelized on GPGPU

Enabling Energy-Efficient Analysis of Massive Neural Signals Using GPGPU

GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia

GpuWars: Design and Implementation of a GPGPU Game

Development of nonlinear filter bank system for real-time beautification of facial video using GPGPU

Neuromorphic models on a GPGPU cluster

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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