high performance computing on graphics processing units: hgpu.org

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A Two-stage Query by Singing/Humming System on GPU

Wei-Tsa Kao, Chung-Che Wang, Kaichun K. Chang, Jyh-Shing Roger Jang, Wenshan Liou

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 660 Ti

December 19, 2013 by hgpu

Heterogeneous Programming with Single Operation Multiple Data

Herve Paulino, Eduardo Marques

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Tags: Computer science, CUDA, Data parallelism, Heterogeneous systems, Java, nVidia, nVidia GeForce GT 320 M, Tesla C2050

December 19, 2013 by hgpu

Fast Image Alignment with Fourier Moment Matching on GPU

Hong-Ren Su, Hao-Yuan Kuo, Shang-Hong Lai, Chin-Chia Wu

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Tags: CUDA, Image alignment, Image processing, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTX 650

December 18, 2013 by hgpu

Efficient Multi-GPU Computation of All-Pairs Shortest Paths

Hristo Djidjev, Sunil Thulasidasan, Guillaume Chapuis, Rumen Andonov, Dominique Lavenier

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Tags: Algorithms, Bioinformatics, Biology, CUDA, GPU cluster, nVidia, Tesla C2090

December 18, 2013 by hgpu

A comparative analysis of the performance and deployment overhead of parallelized Finite Difference Time Domain (FDTD) algorithms on a selection of high performance multiprocessor computing systems

Robert Georg Ilgner

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, nVidia, nVidia GeForce GTX 480, Tesla C2070, Thesis

December 18, 2013 by hgpu

GPU Accelerated Semiclassical Initial Value Representation Molecular Dynamics

Dario Tamascelli, Francesco S. Dambrosio, Riccardo Conte, Michele Ceotto

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Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, Physics, Tesla C2075, Tesla K20

December 18, 2013 by hgpu

Development methodologies for GPU and cluster of GPUs

Sylvain Contassot-Vivier, Stephane Vialle, Jens Gustedt

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

December 17, 2013 by hgpu

High Performance Computing Image Analysis for Radiotherapy Planning

Zilong Pan

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Tags: Computed tomography, CT, CUDA, Filtering, Medicine, nVidia, Radiotherapy, Tesla C2050, Thesis, Tomography

December 17, 2013 by hgpu

Parallel Firewalls on General-Purpose Graphics Processing Units

Kamal Chandra Reddy, Ankit Tharwani, Ch.Vamshi Krishna, Lakshminarayanan.V

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Tags: Computer science, CUDA, Databases, Network communications, nVidia, nVidia Quadro FX 1700, Security

December 17, 2013 by hgpu

Exploiting parallel features of modern computer architectures in bioinformatics

Guillaume Chapuis

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Genetics, nVidia, Path problems, Tesla C2050, Tesla C2090, Thesis

December 16, 2013 by hgpu

A Cloud Computing Service Architecture of a Parallel Algorithm Oriented to Scientific Computing with CUDA and Monte Carlo

Ji Yimu, Kuang Zizhuo, Pan Qiao Yu, Sun Yanpeng, Kang Jiangbang, Huang Wei

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Tags: Algorithms, Cloud, Computer science, CUDA, Monte Carlo simulation, nVidia

December 16, 2013 by hgpu

Parallel GPU Implementation of Hough Transform for Circles

Meisam Askari, Hossein Ebrahimpour, Azam Asilian Bidgoli, Farahnaz Hosseini

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9300 M, nVidia GeForce 9400 GT, nVidia GeForce GT 220, nVidia GeForce GT 430

December 16, 2013 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

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

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

A Two-stage Query by Singing/Humming System on GPU

Heterogeneous Programming with Single Operation Multiple Data

Fast Image Alignment with Fourier Moment Matching on GPU

Efficient Multi-GPU Computation of All-Pairs Shortest Paths

A comparative analysis of the performance and deployment overhead of parallelized Finite Difference Time Domain (FDTD) algorithms on a selection of high performance multiprocessor computing systems

GPU Accelerated Semiclassical Initial Value Representation Molecular Dynamics

Development methodologies for GPU and cluster of GPUs

High Performance Computing Image Analysis for Radiotherapy Planning

Parallel Firewalls on General-Purpose Graphics Processing Units

Exploiting parallel features of modern computer architectures in bioinformatics

Parallel GPU Implementation of Hough Transform for Circles

Recent source codes

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

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

SIGMo: Scalable Isomorphism Graph Matching on GPUs

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

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