high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Exploiting GPU On-chip Shared Memory for Accelerating Schedulability Analysis

Swaroop Nunna, Unmesh D. Bordoloi, Samarjit Chakraborty, Petru Eles, Zebo Peng

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce 8800 GTX

May 3, 2011 by hgpu

Sparse Matrix Formats Evaluation and Optimization on a GPU

Maxime R. Hugues, Serge G. Petiton

Tags: Computer science, Linear Algebra, Sparse matrix

May 1, 2011 by hgpu

Parallelized generation of photon texture and real-time rendering on GPU

Liu Xiaoping, Chen Hao, Xie Wenjun, Wang Qijun

Tags: 3D Graphics and Realism, Computer science, Real-time graphics, Rendering

May 1, 2011 by hgpu

Using GPU Shaders for Visualization, Part 2

M. Bailey

Tags: Algorithms, Computer science, OpenGL, Visualization

May 1, 2011 by hgpu

Dynamic LOD on GPU

Junfeng Ji, Enhua Wu, Sheng Li, Xuehui Liu

Tags: 3D Graphics and Realism, Algorithms, Computer science, Rendering

May 1, 2011 by hgpu

GPU smoothing of quad meshes

T. Ni, Y. Yeo, A. Myles, V. Goel, J. Peters

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX

May 1, 2011 by hgpu

Reconfigurable real-time MIMO detector on GPU

Michael Wu, Yang Sun, Joseph R. Cavallaro

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Tags: Algorithms, Computer science, CUDA, MIMO, nVidia, nVidia GeForce 9600 GT

April 30, 2011 by hgpu

An intelligent system for accelerating parallel SVM classification problems on large datasets using GPU

Qi Li, R. Salman, V. Kecman

Tags: Algorithms, Computer science, Data Structures and Algorithms

April 30, 2011 by hgpu

GPU-accelerated Adaptively Sampled Distance Fields

Thiago Bastos, Waldemar Celes

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Tags: Algorithms, Computer science, Computer vision, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

April 30, 2011 by hgpu

GPU based Partially Connected Neural Evolutionary network and its application on gender recognition with face images

Xiao-Xi Chen, Ming-Hui Shi, H. de Garis

Tags: Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia

April 30, 2011 by hgpu

GPU-based multi-view rendering for spatial-multiplex autostereoscopic displays

Jianli Luo, Kaihuai Qin, Yanxia Zhou, Miao Mao, Ruirui Li

Tags: 3D Graphics and Realism, Computer science, OpenGL, Rendering

April 30, 2011 by hgpu

EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

Mike Showerman, Jeremy Enos, Craig Steffen, Sean Treichler, William Gropp, Wen-mei W. Hwu

Tags: Computer science, CUDA, Energy-efficient computing, GPU cluster, nVidia

April 30, 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

Exploiting GPU On-chip Shared Memory for Accelerating Schedulability Analysis

Sparse Matrix Formats Evaluation and Optimization on a GPU

Parallelized generation of photon texture and real-time rendering on GPU

Using GPU Shaders for Visualization, Part 2

Dynamic LOD on GPU

GPU smoothing of quad meshes

Reconfigurable real-time MIMO detector on GPU

An intelligent system for accelerating parallel SVM classification problems on large datasets using GPU

GPU-accelerated Adaptively Sampled Distance Fields

GPU based Partially Connected Neural Evolutionary network and its application on gender recognition with face images

GPU-based multi-view rendering for spatial-multiplex autostereoscopic displays

EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

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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