high performance computing on graphics processing units: hgpu.org

hgpu.org » Cosmology

StePS: A Multi-GPU Cosmological N-body Code for Compactified Simulations

Gabor Racz, Istvan Szapudi, Laszlo Dobos, Istvan Csabai, Alexander S. Szalay

View

Download (PDF)

Source codes

Tags: Astrophysics, Cosmology, CUDA, MPI, N-body simulation, nVidia, OpenMP, Package, Tesla K80

November 18, 2018 by hgpu

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

View

Download (PDF)

Source codes

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

Source codes

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

View

Download (PDF)

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

Titan: A CUDA-based physics simulation sandbox for high-performance robotics, physics, and reinforcement learning applications

Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA

* * *

2020

April

27-29

Munich, Germany

8th International Workshop on OpenCL, including SYCLCon, 2019

2019

May

13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

May

Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

2019

May

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

Add event

See all events

high performance computing on graphics processing units: hgpu.org

StePS: A Multi-GPU Cosmological N-body Code for Compactified Simulations

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

Recent source codes

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Masivo: Parallel public transport routes simulation

FBLAS: BLAS implementation for Intel FPGA

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

Titan: A CUDA-based physics simulation sandbox for high-performance robotics, physics, and reinforcement learning applications

onYourMarks: A deep learning benchmark implementation for Nvidia's Jetson TX2

Hacking Neural Networks: A small course on exploiting and defending neural networks

A Computing Kernel for Network Binarization on PyTorch

Deep Learning Based FPGA-CPU Acceleration

KTT: Kernel Tuning Toolkit

Most viewed papers (last 30 days)

Featured events

8th International Workshop on OpenCL, including SYCLCon, 2019

7th International Workshop on OpenCL, 2019

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

International Conference on Frontiers of Neural Networks (ICFNN), 2019