high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Hardware-Efficient Belief Propagation

Chia-Kai Liang, Chao-Chung Cheng, Yen-Chieh Lai, Liang-Gee Chen, Homer H. Chen

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS

April 13, 2011 by hgpu

Speeding up K-Means Algorithm by GPUs

You Li, Kaiyong Zhao, Xiaowen Chu, Jiming Liu

Tags: Algorithms, Computer science, Matrix multiplication, Optimization

April 13, 2011 by hgpu

Accelerate Cache Simulation with Generic GPU

Wan Han, Gao Xiaopeng, Wang Zhiqiang

Tags: Algorithms, Computer science, CUDA, Memory, nVidia

April 13, 2011 by hgpu

NQueens on CUDA: Optimization Issues

Frank Feinbube, Bernhard Rabe, Martin von Lowis, Andreas Polze

Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization

April 13, 2011 by hgpu

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Julius Fabian Ohmer, Nicholas J. Redding

Tags: Algorithms, Computer vision, Image processing, Video tracking

April 13, 2011 by hgpu

Efficient Collision Detection and Physics-Based Deformation for Haptic Simulation with Local Spherical Hash

Marilena Maule, Anderson Maciel, Luciana Nedel

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, Physics-based simulation, Real-time graphics, Rendering

April 13, 2011 by hgpu

Community Structure Discovery algorithm on GPU with CUDA

Peng Li

Tags: Algorithms, Computer science, CUDA, Network communications, nVidia

April 13, 2011 by hgpu

Power analysis and optimizations for GPU architecture using a power simulator

Guibin Wang

Tags: Computer science, Energy-efficient computing, Optimization

April 12, 2011 by hgpu

CUDA Memory Optimizations for Large Data-Structures in the Gravit Simulator

Jakob Siegel, Juergen Ributzka, Xiaoming Li

Tags: Computer science, CUDA, Gravitation, Memory model, N-body simulation, nVidia, Optimization

April 12, 2011 by hgpu

Automated development of applications for graphical processing units using rewriting rules

Anatoliy Yu. Doroshenko, Konstantin Zhereb

Tags: Code generation, Computer science, High-level Languages, Programming techniques

April 12, 2011 by hgpu

Stream-Centric Stereo Matching and View Synthesis: A High-Speed Approach on GPUs

Jiangbo Lu, S. Rogmans, G. Lafruit, F. Catthoor

Tags: Computer science, nVidia, nVidia GeForce 8800 GT, Real-time graphics, Rendering

April 12, 2011 by hgpu

An Analytical Approach to the Design of Parallel Block Cipher Encryption/Decryption: A CPU/GPU Case Study

Gerassimos Barlas, Ahmed Hassan, Yasser Al Jundi

Tags: AES, Block Ciphers, Computer science, Heterogeneous systems, Security

April 12, 2011 by hgpu

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

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

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

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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

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high performance computing on graphics processing units: hgpu.org

Applications

Hardware-Efficient Belief Propagation

Speeding up K-Means Algorithm by GPUs

Accelerate Cache Simulation with Generic GPU

NQueens on CUDA: Optimization Issues

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Efficient Collision Detection and Physics-Based Deformation for Haptic Simulation with Local Spherical Hash

Community Structure Discovery algorithm on GPU with CUDA

Power analysis and optimizations for GPU architecture using a power simulator

CUDA Memory Optimizations for Large Data-Structures in the Gravit Simulator

Automated development of applications for graphical processing units using rewriting rules

Stream-Centric Stereo Matching and View Synthesis: A High-Speed Approach on GPUs

An Analytical Approach to the Design of Parallel Block Cipher Encryption/Decryption: A CPU/GPU Case Study

Recent source codes

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

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

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

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

Most viewed papers (last 30 days)