high performance computing on graphics processing units: hgpu.org

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Performance Portability Strategies for Computational Fluid Dynamics (CFD) Applications on HPC Systems

Pei-Hung Lin

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Tags: CUDA, Fluid dynamics, nVidia, Optimization, Tesla C2070, Thesis

August 30, 2013 by hgpu

Swendsen-Wang Multi-Cluster Algorithm for the 2D/3D Ising Model on Xeon Phi and GPU

Florian Wende, Thomas Steinke

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Tags: Algorithms, CUDA, Intel Phi, Ising model, Monte Carlo simulation, MPI, nVidia, Physics, Tesla M2090

August 30, 2013 by hgpu

High Performance Algorithms to Improve the Runtime Computation of Spacecraft Trajectories

Nitin Arora

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, Tesla C1060, Tesla M2090, Thesis

August 29, 2013 by hgpu

Fast network communities visualization on massively parallel GPU architecture

M. Mrzek, B. Jerman Blazic

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Tags: Computer science, CUDA, nVidia, Python, Tesla M2090, Visualization

August 29, 2013 by hgpu

Efficient Sparse Matrix-Vector Multiplication on x86-Based Many-Core Processors

Xing Liu, Mikhail Smelyanskiy, Edmond Chow, Pradeep Dubey

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Tags: Algorithms, Computer science, CUDA, Intel Phi, nVidia, Performance, Sparse matrix, Tesla K20

August 29, 2013 by hgpu

Numerical simulations of acoustic waves with the graphic acceleration GAMER code

K. Murawski, K. Murawski Jr., H.-Y. Schive

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Tags: CUDA, Numerical simulation, nVidia, nVidia Quadro FX 880 M, Physics

August 29, 2013 by hgpu

Towards High-Performance and Cost-Effective Distributed Storage Systems with Information Dispersal Algorithms

Dongfang Zhao, Kent Burlingame, Corentin Debains, Pedro Alvarez-Tabio, Ioan Raicu

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Storage system

August 29, 2013 by hgpu

On the Use of Graphics Processing Units (GPUs) for Molecular Dynamics Simulation of Spherical Particles

R.C. Hidalgo, T. Kanzaki, F. Alonso-Marroquin, S. Luding

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Tags: CUDA, Molecular dynamics, nVidia, nVidia GeForce GT 430, Physics

August 28, 2013 by hgpu

Throughput-Oriented Analytical Models for Performance Estimation on Programmable Hardware Accelerators

Junjie Lai

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Tags: Analytical model, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Thesis

August 28, 2013 by hgpu

Audiovisual Voice Activity Detection and Localization of Simultaneous Speech Sources

Vicente Peruffo Minotto

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Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 570, Speech recognition, Thesis

August 28, 2013 by hgpu

In-Situ Statistical Analysis of Autotune Simulation Data using Graphical Processing Units

Niloo Ranjan, Jibonananda Sanyal, Joshua New

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Tags: Computer science, CUDA, MPI, nVidia, Performance, Tesla K20

August 28, 2013 by hgpu

Dynamic Load Balancing on Massively Parallel Computer Architectures

Florian Wende

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Tags: Computer science, CUDA, Intel Phi, nVidia, Performance, Raytracing, Tesla M2090, Thesis

August 28, 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

Performance Portability Strategies for Computational Fluid Dynamics (CFD) Applications on HPC Systems

Swendsen-Wang Multi-Cluster Algorithm for the 2D/3D Ising Model on Xeon Phi and GPU

High Performance Algorithms to Improve the Runtime Computation of Spacecraft Trajectories

Fast network communities visualization on massively parallel GPU architecture

Efficient Sparse Matrix-Vector Multiplication on x86-Based Many-Core Processors

Numerical simulations of acoustic waves with the graphic acceleration GAMER code

On the Use of Graphics Processing Units (GPUs) for Molecular Dynamics Simulation of Spherical Particles

Throughput-Oriented Analytical Models for Performance Estimation on Programmable Hardware Accelerators

Audiovisual Voice Activity Detection and Localization of Simultaneous Speech Sources

In-Situ Statistical Analysis of Autotune Simulation Data using Graphical Processing Units

Dynamic Load Balancing on Massively Parallel Computer Architectures

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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