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Quantum Chemistry for Solvated Molecules on Graphical Processing Units (GPUs) using Polarizable Continuum Models

Fang Liu, Nathan Luehr, Heather J. Kulik, Todd J. Martinez

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Tags: Biomolecules, Chemical Physics, Chemistry, CUDA, nVidia, nVidia GeForce GTX Titan, Physics

June 1, 2015 by hgpu

Large-scale network simulation over heterogeneous computing architecture

Bilel Ben Romdhanne

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 860, Thesis

May 29, 2015 by hgpu

Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms

Amani AlOnazi, David Keyes, Alexey Lastovetsky, Vladimir Rychkov

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Tags: Conjugate gradient solver, CUDA, Fluid dynamics, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX Titan

May 29, 2015 by hgpu

Simple sorting algorithm test based on CUDA

Hongyu Meng, Fangjin Guo

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 520, Sorting

May 29, 2015 by hgpu

Revisiting Actor Programming in C++

Dominik Charousset, Raphael Hiesgen, Thomas C. Schmidt

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Tags: Algorithms, Computer science, Heterogeneous systems, MPI, nVidia, OpenCL, OpenMPI, Package, Programming Languages, Tesla C2075

May 28, 2015 by hgpu

Implementing a Photorealistic Rendering System using GLSL

Toshiya Hachisuka

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 5870, Computer science, GLSL, Intel HD 5000, Intel HD Graphics 4000, nVidia, nVidia GeForce GT 630, nVidia GeForce GTX 680, OpenGL, Package, Raytracing, Rendering

May 28, 2015 by hgpu

Analysis of GPU Parallel Computing based on Matlab

Mingzhe Wang, Bo Wang, Qiu He, Xiuxiu Liu, Kunshuai Zhu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, Performance

May 28, 2015 by hgpu

DjiNN and Tonic: DNN as a Service and Its Implications for Future Warehouse Scale Computers

Johann Hauswald, Yiping Kang, Michael A. Laurenzano, Quan Chen, Cheng Li, Trevor Mudge, Ronald G. Dreslinski, Jason Mars, Lingjia Tang

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Tags: CUDA, Deep learning, Image processing, Machine learning, Neural networks, nVidia, Speech recognition, Tesla K40

May 25, 2015 by hgpu

On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising

Freddie Astrom, Michael Felsberg

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 670, OpenGL, Optical flow

May 25, 2015 by hgpu

ACCTuner: OpenACC Auto-Tuner For Accelerated Scientific Applications

Fatemah Ramzy AlZayer

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Tags: Algorithms, Computer science, Machine learning, Nearest neighbour, nVidia, OpenACC, Tesla K20, Tesla K40, Thesis

May 25, 2015 by hgpu

Solving incompressible Navier-Stokes equations on heterogeneous parallel architectures

Yushan Wang

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, MPI, Navier-Stokes equations, NSEs, nVidia, Tesla K20, Thesis

May 25, 2015 by hgpu

Key derivation functions and their GPU implementation

Ondrej Mosnacek

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Tags: Benchmarking, Computer science, nVidia, OpenCL, Package, Security, Tesla K20, Thesis

May 22, 2015 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Quantum Chemistry for Solvated Molecules on Graphical Processing Units (GPUs) using Polarizable Continuum Models

Large-scale network simulation over heterogeneous computing architecture

Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms

Simple sorting algorithm test based on CUDA

Revisiting Actor Programming in C++

Implementing a Photorealistic Rendering System using GLSL

Analysis of GPU Parallel Computing based on Matlab

DjiNN and Tonic: DNN as a Service and Its Implications for Future Warehouse Scale Computers

On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising

ACCTuner: OpenACC Auto-Tuner For Accelerated Scientific Applications

Solving incompressible Navier-Stokes equations on heterogeneous parallel architectures

Key derivation functions and their GPU implementation

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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