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Neurokernel: An Open Scalable Software Framework for Emulation and Validation of Drosophila Brain Models on Multiple GPUs

Lev E. Givon, Aurel A. Lazar

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Tags: Biology, CUDA, Neuroscience, nVidia, Package, Python

November 18, 2013 by hgpu

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

Michal Januszewski, Marcin Kostur

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Tags: Code generation, Computational Physics, CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 285, OpenCL, Package, Physics, Python, Tesla C1060, Tesla C2050, Tesla K10, Tesla K20

November 12, 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

A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers

Christopher D. Cooper, Jaydeep P. Bardhan, L. A. Barba

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Tags: Biomolecules, Boltzmann equation, Computational Physics, CUDA, Electrostatics, Intel Phi, nVidia, Package, Physics, Poisson Boltzmann, Python, Tesla C2075

September 17, 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

The development and expansion of HOOMD-blue through six years of GPU proliferation

Joshua A. Anderson, Sharon C. Glotzer

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Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 580, nVidia GeForce GTX Titan, Package, Physics, Python, Software Engineering, Tesla S1070

August 27, 2013 by hgpu

Estimating the WCET of GPU-Accelerated Applications using Hybrid Analysis

Adam Betts, Alastair Donaldson

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, OpenCL, Package, Python, Tesla C2050

August 26, 2013 by hgpu

OpenCL programming using Python syntax

Massimo Di Pierro

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Tags: Computer science, OpenCL, Package, PyOpenCL, Python

August 26, 2013 by hgpu

AQUAgpusph, a free 3D SPH solver accelerated with OpenCL

J.L. Cercos-Pita, A. Souto-Iglesias, L.M. Gonzalez, F. Macia

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Tags: ATI, ATI Radeon HD 7970, Fluid dynamics, OpenCL, Python

August 3, 2013 by hgpu

The Astrophysical Multipurpose Software Environment

F.I. Pelupessy, A. van Elteren, N. de Vries, S.L.W. McMillan, N. Drost, S.F. Portegies Zwart

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, MPI, nVidia, Package, Python

July 21, 2013 by hgpu

GPU Multiple Sequence Alignment Fourier-Space Cross-Correlation Alignment

Matthias Alexander Lee

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Tags: Bioinformatics, Biology, Computational Complexity, CUDA, nVidia, Package, Python, RNA, Sequence alignment, Signal processing

May 31, 2013 by hgpu

Directive-based Approach to Heterogeneous Computing

Ruyman Reyes Castro

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenACC, OpenCL, Package, Python, Tesla C1060, Thesis

April 25, 2013 by hgpu

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

See all packages

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high performance computing on graphics processing units: hgpu.org

Neurokernel: An Open Scalable Software Framework for Emulation and Validation of Drosophila Brain Models on Multiple GPUs

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

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

A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers

Fast network communities visualization on massively parallel GPU architecture

The development and expansion of HOOMD-blue through six years of GPU proliferation

Estimating the WCET of GPU-Accelerated Applications using Hybrid Analysis

OpenCL programming using Python syntax

AQUAgpusph, a free 3D SPH solver accelerated with OpenCL

The Astrophysical Multipurpose Software Environment

GPU Multiple Sequence Alignment Fourier-Space Cross-Correlation Alignment

Directive-based Approach to Heterogeneous Computing

Recent source codes

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

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