high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GT 420 M

Optimizing Real Time GPU Kernels Using Fuzzy Inference System

Deepali Shinde, Mithilesh Said, Pratik Shetty, Swapnil Gharat

View

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 420 M

October 1, 2013 by hgpu

Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA

Maida Arnautovic, Maida Curic, Emina Dolamic, Novica Nosovic

View

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 420 M, OpenMP, Optimization, Path problems

May 30, 2013 by hgpu

Accelerating distance matrix calculations utilizing GPU

Miroslav Mintal

View

Tags: Computer science, nVidia, nVidia GeForce GT 420 M, OpenCL

September 4, 2012 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

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

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

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

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

See all packages

* * *

* * *

HGPU group © 2010-2026 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: