high performance computing on graphics processing units: hgpu.org

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Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Teng Li, Vikram K. Narayana, Tarek El-Ghazawi

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2070

November 24, 2013 by hgpu

Real-time Building Airflow Simulation Aided by GPU and FFD

Pu Yang

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Tags: Algorithms, CUDA, Flow analysis, Fluid dynamics, nVidia, nVidia GeForce GT 650 M, Thesis

November 24, 2013 by hgpu

LoGV: Low-overhead GPGPU Virtualization

Mathias Gottschlag, Marius Hillenbrand, Jens Kehne, Jan Stoess, Frank Bellosa

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Virtualization

November 23, 2013 by hgpu

TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble

Carlos Couder-Castaneda, Carlos Ortiz-Aleman, Mauricio Gabriel Orozco-del-Castillo, Mauricio Nava-Flores

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Tags: Astrophysics, CUDA, Gravitation, MPI, nVidia, OpenMP, Tesla C2070

November 23, 2013 by hgpu

Graph grammar based multi-frontal direct solver for isogeometric FEM simulations on GPU

M. Paszynski, K. Kuznik, V.M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, Tesla C2070

November 23, 2013 by hgpu

Fast 4pi track reconstruction in nuclear emulsion detectors based on GPU technology

A. Ariga, T. Ariga

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Tags: CUDA, High Energy Physics - Experiment, Instrumentation and Detectors, nVidia, nVidia GeForce GTX Titan, Physics

November 23, 2013 by hgpu

An improved parallel contrast-aware halftoning

Ling-yue Liu, Wei Chen, Tien-tsin Wong, Wen-ting Zheng, Wei-dong Geng

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 480

November 22, 2013 by hgpu

An Optimal Offline Permutation Algorithm on the Hierarchical Memory Machine, with the GPU implementation

Akihiko Kasagi, Koji Nakano, and Yasuaki Ito

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Tags: Algorithms, Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 680

November 22, 2013 by hgpu

Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

Yong-Chull Jang, Jon A. Bailey, Weonjong Lee, Carleton DeTar, Mehmet B. Oktay, Andreas S. Kronfeld

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Tags: CUDA, High Energy Physics - Lattice, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Physics

November 22, 2013 by hgpu

Direct Numeric Simulation of Sheared Convective Boundary Layer Entrainment with GPUs

Nicholas J. Stewart, David W. Holmes, Wenxian Lin, Steven W. Armfield, Michael P. Kirkpatrick

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Tags: Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 560, Tesla C2070

November 21, 2013 by hgpu

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Fernando Jorge Marques Alexandre

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Tags: ATI, ATI Radeon HD 7950, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C1060, Thesis

November 20, 2013 by hgpu

Adaptive implementation selection in the SkePU skeleton programming library

Usman Dastgeer, Lu Li, Christoph Kessler

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Source codes

Tags: Computer science, CUDA, Machine learning, nVidia, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

November 19, 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

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high performance computing on graphics processing units: hgpu.org

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Real-time Building Airflow Simulation Aided by GPU and FFD

TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble

Graph grammar based multi-frontal direct solver for isogeometric FEM simulations on GPU

Fast 4pi track reconstruction in nuclear emulsion detectors based on GPU technology

An improved parallel contrast-aware halftoning

An Optimal Offline Permutation Algorithm on the Hierarchical Memory Machine, with the GPU implementation

Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

Direct Numeric Simulation of Sheared Convective Boundary Layer Entrainment with GPUs

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Adaptive implementation selection in the SkePU skeleton programming library

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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