high performance computing on graphics processing units: hgpu.org

hgpu.org » ATI Mobility Radeon X1400

Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization

Minglun Gong, Li Cheng

View

Tags: ATI, ATI Mobility Radeon X1400, Image processing, Optimization, Real-time graphics

July 31, 2011 by hgpu

CPU, SMP and GPU implementations of Nohalo level 1, a fast co-convex antialiasing image resampler

Nicolas Robidoux, Minglun Gong, John Cupitt, Adam

View

Tags: ATI, ATI Mobility Radeon X1400, Computer vision, DirectX, HLSL, Image generation, Image processing, nVidia, nVidia GeForce 6800, nVidia GeForce 8600 GT, nVidia GeForce 9800 GT, nVidia GeForce 9800 GX2

December 25, 2010 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

* * *

* * *

HGPU group © 2010-2026 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: