high performance computing on graphics processing units: hgpu.org

Jaejin Lee, Jungwon Kim, Sangmin Seo, Seungkyun Kim, Jungho Park, Honggyu Kim, Thanh T. Dao, Yongjin Cho, Sung J. Seo, Seung H. Lee, Seung M. Cho, Hyo J. Song, Sang B. Suh, Jong D. Choi

Tags: Computer science, Memory model, OpenCL

January 16, 2011 by hgpu

Using generalized ensemble simulations and Markov state models to identify conformational states

Gregory R. Bowman, Xuhui Huang, Vijay S. Pande

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Tags: CUDA, Molecular dynamics, Molecular modeling, nVidia, Package, Physics, Thermodynamics

January 16, 2011 by hgpu

MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach

P. S. Rakic, D. D. Milasinovic, Živanov, Z. Suvajdzin, M. Nikolic, M. Hajdukovic

Tags: Computational Engineering, Computer science, CUDA, MPI, nVidia, Programming techniques

January 16, 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

GPU-based Collision Detection for Deformable Parameterized Surfaces

Visual Simulation of Flow

Solving dense linear systems on platforms with multiple hardware accelerators

CheCUDA: A Checkpoint/Restart Tool for CUDA Applications

Evaluating GPUs for network packet signature matching

Acceleration of Acoustic Emission Signal Processing Algorithms using CUDA Standard

Real-Time Non-rigid Registration of Medical Images on a Cooperative Parallel Architecture

Parallelization Strategies for Ant Colony Optimisation on GPUs

Interactive visual analysis of contrast-enhanced ultrasound data based on local neighborhood statistics

An OpenCL framework for heterogeneous multicores with local memory

Using generalized ensemble simulations and Markov state models to identify conformational states

MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach

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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