high performance computing on graphics processing units: hgpu.org

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Implementation of QR Updating Algorithms on the GPU

Robert Andrew

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla M2050, Thesis

September 18, 2012 by hgpu

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

Giovanni Cerchiari, Fabrizio Croccolo, Frederic Cardinaux, Frank Scheffold

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Tags: CUDA, Data acquisition, Microscopy, nVidia, Optics, Physics, Soft Condensed Matter, Tesla C2050

September 18, 2012 by hgpu

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

George Teodoro, Tony Pan, Tahsin M. Kurc, Jun Kong, Lee A. D. Cooper, Joel H. Saltz

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Tags: Computer science, CUDA, nVidia, Optimization, Prefetch, Task scheduling, Tesla M2090

September 18, 2012 by hgpu

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

George Teodoro, Tony Pan, Tahsin Kurc, Jun Kong, Lee Cooper, Joel Saltz

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Tags: Algorithms, Computer science, CUDA, Distance transform, Heterogeneous systems, Image processing, nVidia, Tesla M2090

September 18, 2012 by hgpu

Seismic damage simulation for urban buildings based on high-performance GPU computing

Bo Han, Xinzheng Lu, Zhen Xu, Yi Li

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 460, Seismic modeling, Seismology

September 17, 2012 by hgpu

A GPU operations framework for WattDB

Vitor Uwe Reus

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 430, Thesis

September 17, 2012 by hgpu

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Tony Kam-Thong

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Source codes

Tags: Biology, CUDA, Genetics, Machine learning, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Package, Thesis

September 16, 2012 by hgpu

Parallel Benefit on Different Programming Paradigms

Chau-Yi Chou, Sheng-Hsiu Kuo, Chih-Wei Hsieh, Tsung-Che Tsai, Hsi-Ya Chang

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 200, OpenMP, Performance

September 16, 2012 by hgpu

Parallel Implementation of Moving Averages and Stock Market Prediction

John Jenq

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Tags: CUDA, Finance, Neural networks, nVidia, nVidia GeForce GT 550 M

September 16, 2012 by hgpu

Accelerating the Smith-Waterman Algorithm for Bio-sequence Matching on GPU

Qianghua Zhu, Fei Xia, Guoqing Jin

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Databases, nVidia, nVidia GeForce GTX 470, Sequence alignment, Sequence matching, Smith-Waterman algorithm

September 16, 2012 by hgpu

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Juan C. Cuevas-Tello

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Tags: Algorithms, Artificial intelligence, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

September 16, 2012 by hgpu

NT-SIM: A Co-Simulator for Networked Signal Processing Applications

Stephen Won, Chung-Ching Shen, Shuvra S. Bhattacharyya

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Tags: CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, Signal processing

September 15, 2012 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

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high performance computing on graphics processing units: hgpu.org

Implementation of QR Updating Algorithms on the GPU

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

Seismic damage simulation for urban buildings based on high-performance GPU computing

A GPU operations framework for WattDB

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Parallel Benefit on Different Programming Paradigms

Parallel Implementation of Moving Averages and Stock Market Prediction

Accelerating the Smith-Waterman Algorithm for Bio-sequence Matching on GPU

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

NT-SIM: A Co-Simulator for Networked Signal Processing Applications

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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