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Task management for irregular-parallel workloads on the GPU

Stanley Tzeng, Anjul Patney, John D. Owens

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Performance, Presentation, Task scheduling

March 6, 2011 by hgpu

Dynamic load balancing on single- and multi-GPU systems

Long Chen, Oreste Villa, Sriram Krishnamoorthy, Guang R. Gao

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Task scheduling, Tesla C1060

March 6, 2011 by hgpu

High-performance GPU based Rendering for Real-Time, rigid 2D/3D-Image Registration in Radiation Oncology

Jakob Spork

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Tags: Cg, Image registration, Medicine, nVidia, nVidia GeForce 7600 GS, nVidia Quadro FX 570 M, OpenGL, Review, Thesis

March 5, 2011 by hgpu

Multimodal Image Registration Using GPU Parallel Computing Technology

Xiaolu Sun

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Tags: CUDA, Image registration, Medicine, nVidia, Review, Tesla C1060, Thesis

March 5, 2011 by hgpu

Phase Based Volume Registration on the GPU with Application to Quantitative MRI

Anders Eklund, Mats Andersson, Marcel Warntjes, Hans Knutsson

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Tags: CUDA, Image registration, Medicine, MRI, nVidia, nVidia GeForce GTX 285

March 5, 2011 by hgpu

Phase Based Volume Registration Using CUDA

Anders Eklund, Mats Andersson, Hans Knutsson

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Tags: CUDA, Image registration, Medicine, MRI, nVidia, Poster

March 5, 2011 by hgpu

Implementation of Variable Preconditioned GCR with mixed precision on GPU using CUDA

Soichiro Ikuno, Norihisa Fujita, Susumu Yamamoto, Susumu Nakata

Tags: CUDA, Electrodynamics, Mixed precision, nVidia

March 5, 2011 by hgpu

Data Mining Using Graphics Processing Units

Christian Bohm, Robert Noll, Claudia Plant, Bianca Wackersreuther and Andrew Zherdin

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 280

March 5, 2011 by hgpu

Parallel implementation of wavelet-based image denoising on programmable PC-grade graphics hardware

Yang Su, Zhijie Xu

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Tags: Cg, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Signal denoising, Wavelet

March 5, 2011 by hgpu

Inter-Block GPU Communication via Fast Barrier Synchronization

Shucai Xiao, Wu-chun Feng

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 280, Performance, Sorting

March 5, 2011 by hgpu

Designing Efficient Many-Core Parallel Algorithms for All-Pairs Shortest-Paths Using CUDA

Quoc-Nam Tran

Tags: Algorithms, Computer science, CUDA, nVidia, Path problems

March 5, 2011 by hgpu

A Stream Processor Cluster Architecture Model with the Hybrid Technology of MPI and CUDA

Qing-kui Chen, Jia-kang Zhang

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Programming techniques

March 4, 2011 by hgpu

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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high performance computing on graphics processing units: hgpu.org

Task management for irregular-parallel workloads on the GPU

Dynamic load balancing on single- and multi-GPU systems

High-performance GPU based Rendering for Real-Time, rigid 2D/3D-Image Registration in Radiation Oncology

Multimodal Image Registration Using GPU Parallel Computing Technology

Phase Based Volume Registration on the GPU with Application to Quantitative MRI

Phase Based Volume Registration Using CUDA

Implementation of Variable Preconditioned GCR with mixed precision on GPU using CUDA

Data Mining Using Graphics Processing Units

Parallel implementation of wavelet-based image denoising on programmable PC-grade graphics hardware

Inter-Block GPU Communication via Fast Barrier Synchronization

Designing Efficient Many-Core Parallel Algorithms for All-Pairs Shortest-Paths Using CUDA

A Stream Processor Cluster Architecture Model with the Hybrid Technology of MPI and CUDA

Recent source codes

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

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

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

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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