high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

Real-Time Stereo Matching using Adaptive Window based Disparity Refinement

Zheng Tian, Cheng Xu, Xin Huang, Xiaodong Wang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTS 450, Real-time graphics, Stereo vision

October 27, 2013 by hgpu

Scalable Simulation of Tsunamis Generated by Submarine Landslides on GPU clusters

M. de la Asuncion, J. M. Mantas, M. J. Castro, S. Ortega

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Tags: CUDA, Earth and Space Sciences, Fluid dynamics, GPU cluster, MPI, nVidia, Tesla M2090

October 26, 2013 by hgpu

A New Approach of Performance Analysis of Certain Graph Algorithms

M. F Mridha, Mohammad Manzurul Islam, Syed Mohammad Oliur Rahman

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Tags: Computer science, CUDA, Graph theory, nVidia, Tesla C2075

October 26, 2013 by hgpu

A Parallel Depth-aided Exemplar-based Inpainting for Real-time View Synthesis on GPU

Zheng Tian, Cheng Xu, Xiaoyun Deng

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTS 450

October 26, 2013 by hgpu

A Datalog Engine for GPUs

Carlos Alberto Martinez-Angeles, Ines Dutra, Vitor Santos Costa, Jorge Buenabad-Chavez

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

October 25, 2013 by hgpu

GGAS: Global GPU Address Spaces for Efficient Communication in Heterogeneous Clusters

Lena Oden, Holger Froning

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Hybrid computing, Memory model, nVidia, nVidia Quadro 2000, nVidia Quadro FX 5800, Tesla K10, Tesla K20

October 25, 2013 by hgpu

Efficient SDS Simulations on Multi-GPU Nodes of XSEDE High-end Clusters

Samuel Schlachter, Stephen Herbein, Michela Taufer, Shuching Ou, Sandeep Patel, Jeremy S. Logan

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Tags: Chemistry, CUDA, GPU cluster, nVidia, Tesla M2090, Virtualization

October 25, 2013 by hgpu

Modeling system for GPU parallel tasks performance simulation

A.Y.Doroshenko, K.A. Zhereb, O.G.Beketov, M.V. Gnynjuk

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Tags: Computer science, CUDA, Heterogeneous systems, Java, nVidia, nVidia GeForce GT 650 M, Performance

October 24, 2013 by hgpu

A Framework for Management of Distributed Data Processing and Event Selection for the Icecube Neutrino Observatory

Juan Carlos Diaz Velez

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Python, Tesla C1060, Tesla C2050, Tesla M2070, Thesis

October 24, 2013 by hgpu

Towards a Unified Sentiment Lexicon (USL) based on Graphics Processing Units (GPUs)

Liliana Ibeth Barbosa-Santillan, Inmaculada Alvarez-de-Mon-y-Rego

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2075, Tesla K20

October 24, 2013 by hgpu

A multi-Teraflop Constituency Parser using GPUs

John Canny, David Hall, Dan Klein

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Source codes

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 680, Package, Tesla K10

October 24, 2013 by hgpu

gEMpicker: A Highly Parallel GPU-Accelerated Particle Picking Tool for Cryo-Electron Microscopy

Thai V. Hoang, Xavier Cavin, Patrick Schultz, David W. Ritchie

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Tags: Algorithms, Biology, Cryo-EM, CUDA, Electron microscopy, FFT, Macromolecule, Microscopy, nVidia, Tesla C1060, Tesla C2075

October 24, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Real-Time Stereo Matching using Adaptive Window based Disparity Refinement

Scalable Simulation of Tsunamis Generated by Submarine Landslides on GPU clusters

A New Approach of Performance Analysis of Certain Graph Algorithms

A Parallel Depth-aided Exemplar-based Inpainting for Real-time View Synthesis on GPU

A Datalog Engine for GPUs

GGAS: Global GPU Address Spaces for Efficient Communication in Heterogeneous Clusters

Efficient SDS Simulations on Multi-GPU Nodes of XSEDE High-end Clusters

Modeling system for GPU parallel tasks performance simulation

A Framework for Management of Distributed Data Processing and Event Selection for the Icecube Neutrino Observatory

Towards a Unified Sentiment Lexicon (USL) based on Graphics Processing Units (GPUs)

A multi-Teraflop Constituency Parser using GPUs

gEMpicker: A Highly Parallel GPU-Accelerated Particle Picking Tool for Cryo-Electron Microscopy

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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