high performance computing on graphics processing units: hgpu.org

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Graphic processing unit-accelerated mutual information-based 3D image rigid registration

Guanhua Li, Zongying Ou, Tieming Su, Jun Han

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Tags: Image processing, Image registration, nVidia, nVidia GeForce 7300

November 26, 2010 by hgpu

CFD-based analysis and two-level aerodynamic optimization on Graphics Processing Units

I. C. Kampolis, X. S. Trompoukis, V. G. Asouti, K. C. Giannakoglou

Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285

November 26, 2010 by hgpu

Fast Disk Encryption through GPGPU Acceleration

Giovanni Agosta, Alessandro Barenghi, Fabrizio D. Santis, Andrea D. Biagio, Gerardo Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Package, Security

November 26, 2010 by hgpu

Accelerating leukocyte tracking using CUDA: A case study in leveraging manycore coprocessors

M. Boyer, D. Tarjan, S. T. Acton, K. Skadron

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Tags: Biology, CUDA, Microscopy, nVidia, nVidia GeForce GTX 280

November 26, 2010 by hgpu

Profile-guided optimization of critical medical imaging algorithms

David R. Kaeli, Byunghyun Jang, Perhaad Mistry, Dana Schaa

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Tags: Image processing, Image reconstruction, Optimization, Tomography

November 26, 2010 by hgpu

A GPU framework for parallel segmentation of volumetric images using discrete deformable models

Jerome Schmid, Jose Iglesias Guitian, Enrico Gobbetti, Nadia Magnenat-Thalmann

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Tags: CUDA, Image processing, MRI, nVidia, nVidia GeForce 8800 GTX, Visualization

November 26, 2010 by hgpu

On the energy efficiency of graphics processing units for scientific computing

S. Huang, S. Xiao, W. Feng

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 280

November 26, 2010 by hgpu

Computing Prestack Kirchhoff Time Migration on General Purpose GPU

Xiaohua Shi, Chuang Li, Shihu Wang, Xu Wang

Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce GTX 260

November 26, 2010 by hgpu

Molecular structural mechanics approach to carbon nanotubes on graphics processing units

Xia Jian-ming, Wei De-min

Tags: Matrix multiplication, Molecular modeling, Physics

November 25, 2010 by hgpu

Compute Unified Device Architecture Application Suitability

Wen M. Hwu, Christopher Rodrigues, Shane Ryoo, John Stratton

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

November 25, 2010 by hgpu

Dynamic real-time 4D cardiac MDCT image display using GPU-accelerated volume rendering

Qi Zhang, Roy Eagleson, Terry M. Peters

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 7900 GS, nVidia GeForce 7900 GTO, nVidia GeForce 8800 GTS, Rendering

November 25, 2010 by hgpu

LBM based flow simulation using GPU computing processor

Frederic Kuznik, Christian Obrecht, Gilles Rusaouen, Jean-Jacques Roux

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 280

November 25, 2010 by hgpu

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Applications

Graphic processing unit-accelerated mutual information-based 3D image rigid registration

CFD-based analysis and two-level aerodynamic optimization on Graphics Processing Units

Fast Disk Encryption through GPGPU Acceleration

Accelerating leukocyte tracking using CUDA: A case study in leveraging manycore coprocessors

Profile-guided optimization of critical medical imaging algorithms

A GPU framework for parallel segmentation of volumetric images using discrete deformable models

On the energy efficiency of graphics processing units for scientific computing

Computing Prestack Kirchhoff Time Migration on General Purpose GPU

Molecular structural mechanics approach to carbon nanotubes on graphics processing units

Compute Unified Device Architecture Application Suitability

Dynamic real-time 4D cardiac MDCT image display using GPU-accelerated volume rendering

LBM based flow simulation using GPU computing processor

Recent source codes

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

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