high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Building Source-to-Source Compilers for Heterogeneous Targets

Serge Guelton

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia Quadro FX 2700 M, Thesis

January 4, 2012 by hgpu

GPU TV-L1 Optical Flow

Brian Hrolenok, Chris McClanahan

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 330 M, OpenCL, Optical flow, Security

January 4, 2012 by hgpu

Efficient and Good Delaunay Meshes From Random Points

Mohamed S. Ebeida, Scott A. Mitchell, Andrew A. Davidson, Anjul Patney, Patrick M. Knupp, John D. Owens

View

Download (PDF)

Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Probability, Rendering, Triangular meshes

January 4, 2012 by hgpu

GPGPU Accelerated Texture-Based Radiosity

Sungkono Surya Tjahyono, Christof Lutteroth, Burkhard Wunsche

View

Download (PDF)

Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 550 Ti, OpenCL, OpenGL, Rendering

January 3, 2012 by hgpu

OpenCL Sparse Linear Solver for Circuit Simulation

Jason Mak, Matthew Guthaus

View

Download (PDF)

Tags: Algorithms, Computer science, Electronic design automation, nVidia, nVidia GeForce GTS 250, OpenCL

January 3, 2012 by hgpu

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Mayank Daga, Thomas Scogland, Wu-chun Feng

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Performance

January 3, 2012 by hgpu

GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering

Chao Peng, Yong Cao

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia Quadro FX 5000, Rendering

January 3, 2012 by hgpu

An optimal k-exclusion real-time locking protocol motivated by multi-GPU systems

Glenn A. Elliott, James H. Anderson

View

Download (PDF)

Tags: Algorithms, Computer science, GPU cluster, Task scheduling

January 3, 2012 by hgpu

GPU Computing for Parallel Local Search Metaheuristics

The Van Luong, Nouredine Melab, El-Ghazali Talbi

View

Download (PDF)

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Optimization, Tesla M2050

January 3, 2012 by hgpu

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Kunihiko Ikeda, Chihiro Matsunuma, Hiroshi Masuda

View

Download (PDF)

Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 3, 2012 by hgpu

Process Time Comparison between GPU and CPU

Abhranil Das

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance, Tesla C870

January 2, 2012 by hgpu

CudaHull: Fast Parallel 3D Convex Hull on the GPU

Ayal Stein, Eran Geva, Jihad El-Sana

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

January 2, 2012 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

* * *

high performance computing on graphics processing units: hgpu.org

Building Source-to-Source Compilers for Heterogeneous Targets

GPU TV-L1 Optical Flow

Efficient and Good Delaunay Meshes From Random Points

GPGPU Accelerated Texture-Based Radiosity

OpenCL Sparse Linear Solver for Circuit Simulation

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering

An optimal k-exclusion real-time locking protocol motivated by multi-GPU systems

GPU Computing for Parallel Local Search Metaheuristics

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Process Time Comparison between GPU and CPU

CudaHull: Fast Parallel 3D Convex Hull on the GPU

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

Most viewed papers (last 30 days)