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2. After that, setup the model by: | 2. After that, setup the model by: | ||
./setup Hybrid_WDs_scatter -objdir=D6_test_scatter -3d -auto +cube32 -maxblocks=30 +uhd +newMpole +hdf5typeIO withParticles=False xnet=True xnetGPU=True xnetData=Data_SN55 -opt | ./setup Hybrid_WDs_scatter -objdir=D6_test_scatter -3d -auto +cube32 -maxblocks=30 +uhd +newMpole +hdf5typeIO withParticles=False xnet=True xnetGPU=True xnetData=Data_SN55 -opt | ||
Then enter an interactive job on a GPU node by running the following command: | Then enter an interactive job on a GPU node by running the following command: | ||
srun --partition=gpu-debug --pty --account=TG-AST100038 --ntasks-per-node=40 --nodes=1 --mem=356G --gpus=1 -t 0:30:00 --wait=0 --export=ALL /bin/bash | srun --partition=gpu-debug --pty --account=TG-AST100038 --ntasks-per-node=40 --nodes=1 --mem=356G --gpus=1 -t 0:30:00 --wait=0 --export=ALL /bin/bash | ||
| Line 114: | Line 114: | ||
1. Load the following modules: | 1. Load the following modules: | ||
conda activate py2 | conda activate py2 | ||
module reset | module reset | ||
module load subversion | module load subversion | ||
module load intel | module load intel | ||
module load openmpi | module load openmpi | ||
module load hdf5/1.8.21 | module load hdf5/1.8.21 | ||
module load cuda10.2/toolkit | module load cuda10.2/toolkit | ||
2. Enter the build directory and then perform: | 2. Enter the build directory and then perform: | ||
make -j4 | make -j4 | ||
===[[FLASH - TORCH - SUPERNU - SNID Pipeline]]=== | ===[[FLASH - TORCH - SUPERNU - SNID Pipeline]]=== | ||
Revision as of 17:20, 14 December 2021
Welcome to the Fisher Group Wiki!
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Wiki Organization
This top-level page structures the Wiki into major topics of current research within the group. Please do not add to this page directly, but instead drill down to the next level to begin editing your area of research. To learn more about editing pages, please see the page About the Fisher Group Wiki.
--Robert Fisher 09:47, 10 June 2010 (UTC)
Tutorials / Computer Systems
Reference Materials
Star Formation Research
Astrochemical Evolution of Giant Molecular Clouds
Brown Dwarf Desert
Numerical Analysis of the Jeans Instability
Turbulence in Giant Molecular Clouds
Determing Stellar Multiplicity Criteria at the Molecular Cloud Core Scale from Simulations of Supersonic, Self-Gravitational Isothermal Turbulence
Supernovae/White Dwarf Research
Background Reading
Dark Energy
White Dwarfs
MESA White Dwarf Type Ia Progenitors
Rotating White Dwarf Progenitor Models for Type Ia Supernovae
Turbulent Detonation Conditions for Type Ia Supernovae
Single Degenerate Model for Type Ia Supernovae
Double Degenerate Model for Type Ia Supernovae
Magnetized White Dwarf Mergers
Hydrodynamical run of Hot envelope models
Type Iax Supernovae
Setting Up a Double Degenerate Merger Simulation with Gadget-2
Double Detonation Model for Type Ia Supernovae
Gravitational Waves from Single-Degenerate Channel of Type Ia Supernovae
Semi-Analytic Model of Deflagration Phase of Turbulent Nuclear Burning in Type Ia Supernovae
Effect of Varying Progenitor Central Density in Single-Degenerate Scenario
Radiative Transfer Modeling of Type Ia Supernovae
Debris Disk White Dwarf Systems
Rotating Nuclear-Burning White Dwarfs
Supernova Remnants
Single Degenerate Model for Type Ia Supernovae: GCD
Nucleosynthetic Yields with the FLASH + Torch pipeline
Creating White Dwarf profiles
Supernova Spectra and Light Curves
Supernova Spectra Analysis
Analysis of the Propeller Regime of White Dwarf Merger
Binary Population Synthesis of SNe Ia
D6 Simulation Notes
FLASHXnet on Summit
FLASHXnet on Expanse
[A] On the login node:
1. Run these commands:
module reset
conda activate py2
here py2 is a python2 environment which one needs to set up first for the setup.py to work. We need to re-write the setup.py in python3 in near future.
2. After that, setup the model by:
./setup Hybrid_WDs_scatter -objdir=D6_test_scatter -3d -auto +cube32 -maxblocks=30 +uhd +newMpole +hdf5typeIO withParticles=False xnet=True xnetGPU=True xnetData=Data_SN55 -opt
Then enter an interactive job on a GPU node by running the following command:
srun --partition=gpu-debug --pty --account=TG-AST100038 --ntasks-per-node=40 --nodes=1 --mem=356G --gpus=1 -t 0:30:00 --wait=0 --export=ALL /bin/bash
This will request an interactive session on 1 node with 40 cores, 1 GPU, 356GB of memory for 30 minutes.
[B] On the GPU node (after srun):
1. Load the following modules:
conda activate py2 module reset module load subversion module load intel module load openmpi module load hdf5/1.8.21 module load cuda10.2/toolkit
2. Enter the build directory and then perform:
make -j4