ktaletsk / gpu_dsm Goto Github PK
View Code? Open in Web Editor NEW๐Accessible quantitative polymer rheology predictions with slip-links on GPU
Home Page: http://www.chbe.iit.edu/~schieber/
License: GNU General Public License v3.0
๐Accessible quantitative polymer rheology predictions with slip-links on GPU
Home Page: http://www.chbe.iit.edu/~schieber/
License: GNU General Public License v3.0
Error in calculation of G(t)
input.dat
34.8
460
5000
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1
1
1.0
50
! Input file for linear monodisperse chains
!Line by line description of input:
! 1) + 2) theory parameters - for detailed description see Schieber et al., J.
! 1) Beta --- entanglement spacing
! 2) NK --- number of chain segments on the chain
! 3) N_cha --- number of chains (ensemble size)
! 4) Transpose of imposed velocity gradient, kappa. (1/(\tau_K))
! 5) CD toggle
! 6) G(t) flag. Toggle G(t) calculation, works only if kappa=0
! 7) Syncronization time (\tau_K). How often stress is calculated. Cannot be le
! 8) Total simulation time (\tau_K)
Output
./gpu_DSM
device Count 1
Using device 0: GeForce GTX 780
simulation parameters:
NK Beta N_cha
460 34.8 5000
deformation tensor:
0 0 0
0 0 0
0 0 0
G(t) calculation is on
simulation time, sync time
100 1
generating chain conformations on host..done
preparing GPU chain conformations..
device constants done
GPU random generator init:
device random generators 1 seeding...done
device random generators 2 seeding...done
preparing random number sequence...done
GPU random generator init done.
Number of ensemble blocks 1
copying chains to device block 1. chains in the ensemble block 5000
device chains done
init done
G(t) calc...
G(t) calc done
0 inf
1 inf
2 inf
3 inf
4 inf
6 inf
8 inf
10 inf
12 inf
16 inf
20 inf
24 inf
28 inf
36 inf
44 inf
Memory cleanup.. done.
Calculation time: 143.613 milliseconds
In Approximations of the discrete slip-link model and their effect on nonlinear rheology predictions, Marat Andreev mentioned three improvements, finite extensibility, convective constraint release and defomation of dangling ends. Does this programme achieve these feathers?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.