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CosmoFlow: Using Deep Learning to Learn the Universe at Scale

Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Karna, Daina Moise, Simon J. Pennycook, Kristyn Maschoff, Jason Sewall, Nalini Kumar, Shirley Ho, Mike Ringenburg, Prabhat, Victor Lee

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Tags: Astrophysics, Cosmology, CUDA, Deep learning, Intel Xeon Phi, Machine learning, nVidia, Package, TensorFlow, Tesla P100

August 19, 2018 by hgpu

ARC: Adaptive Ray-tracing with CUDA, a New Ray Tracing Code for Parallel GPUs

Blake Hartley, Massimo Ricotti

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Tags: Astrophysics, Cosmology, CUDA, MPI, nVidia, Raytracing

July 21, 2018 by hgpu

EMMA: an AMR cosmological simulation code with radiative transfer

Dominique Aubert, Nicolas Deparis, Pierre Ocvirk

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Tags: Astrophysics, Cosmology, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Tesla K20, Tesla M2090

September 3, 2015 by hgpu

Numerical cosmology on the GPU with Enzo and Ramses

Claudio Gheller, Peng Wang, Franco Vazza, Romain Teyssier

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Tags: Astrophysics, Cosmology, CUDA, Instrumentation and Methods for Astrophysics, nVidia, OpenACC, Tesla K20

December 3, 2014 by hgpu

The Q Continuum Simulation: Harnessing the Power of GPU Accelerated Supercomputers

Katrin Heitmann, Nicholas Frontiere, Chris Sewell, Salman Habib, Adrian Pope, Hal Finkel, Silvio Rizzi, Joe Insley, Suman Bhattacharya

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Tags: Astrophysics, Cosmology, CUDA, N-body simulation, nVidia

November 16, 2014 by hgpu

HACC: Simulating Sky Surveys on State-of-the-Art Supercomputing Architectures

Salman Habib, Adrian Pope, Hal Finkel, Nicholas Frontiere, Katrin Heitmann, David Daniel, Patricia Fasel, Vitali Morozov, George Zagaris, Tom Peterka, Venkatram Vishwanath, Zarija Lukic, Saba Sehrish, Wei-keng Liao

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Tags: Algorithms, Astrophysics, Cell processor, Cosmology, CUDA, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia

October 13, 2014 by hgpu

Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions

P. M. Sutter, Benjamin D. Wandelt, Franz Elsner

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Tags: Astrophysics, Cosmology, CUDA, nVidia, nVidia GeForce GTX 480

September 17, 2014 by hgpu

2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation

Michael S. Warren

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Tags: Algorithms, Astrophysics, Cosmology, CUDA, Fast multipole method, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Tesla K20, Tesla M2090

October 22, 2013 by hgpu

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

Go Ogiya, Masao Mori, Yohei Miki, Taisuke Boku, Naohito Nakasato

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Tags: Analytical model, Astrophysics, Cosmology, CUDA, GPU cluster, Gravitation, N-body simulation, nVidia, Physics, Tesla M2090

August 17, 2013 by hgpu

Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples

Benjamin D. Wibking

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Tags: Astrophysics, Cosmology, CUDA, Gravitation, N-body simulation, nVidia, Package, Thesis

May 7, 2013 by hgpu

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Ralf Kaehler, Tom Abel

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Tags: Algorithms, Astrophysics, Cosmology, Differential equations, GLSL, Instrumentation and Methods for Astrophysics, KD-tree, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

December 18, 2012 by hgpu

A new gravitational N-body simulation algorithm for investigation of cosmological chaotic advection

Diego H. Stalder, Reinaldo R. Rosa, Jose da Silve Junior, Esteban Clua, Renata Ruiz, Haroldo F. Campos Velho, Fernando Ramos, Amarisio da Silva Araujo, Vitor Gomes Conrado

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Tags: Astrophysics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Gravitation, N-body simulation, nVidia, nVidia GeForce GTX 680

August 17, 2012 by hgpu

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

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13-15

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13-15

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high performance computing on graphics processing units: hgpu.org

CosmoFlow: Using Deep Learning to Learn the Universe at Scale

ARC: Adaptive Ray-tracing with CUDA, a New Ray Tracing Code for Parallel GPUs

EMMA: an AMR cosmological simulation code with radiative transfer

Numerical cosmology on the GPU with Enzo and Ramses

The Q Continuum Simulation: Harnessing the Power of GPU Accelerated Supercomputers

HACC: Simulating Sky Surveys on State-of-the-Art Supercomputing Architectures

Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions

2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

A new gravitational N-body simulation algorithm for investigation of cosmological chaotic advection

Recent source codes

TVM: Open deep learning compiler stack for cpu, gpu and specialized accelerators

MyCaffe: A complete deep learning platform written almost entirely in C# for Windows developers

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

ZUCL: A ZYNQ UltraScale+ Framework for OpenCL HLS Applications

CL-kmeans: Efficient k-Means in OpenCL

Doctor AI: Interpretable Deep Learning for Modeling Electronic Health Records

pyJac: a Python package that generates source code used to analytically calculate chemical kinetics Jacobian matrices

CUTLASS: CUDA Templates for Linear Algebra Subroutines

Integer sorting on multicore

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International Conference on Image, Video and Signal Processing (IVSP), 2019

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International Joint Conference on Robotics, Automation and Mechatronics (JCRAM), 2018

International Joint Conference on Robotics and Artificial Intelligence (JCRAI), 2018

International Joint Conference on Computer Vision and Pattern Recognition (CCVPR), 2018