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Dendro
5.01
Dendro in Greek language means tree. The Dendro library is a large scale (262K cores on ORNL's Titan) distributed memory adaptive octree framework. The main goal of Dendro is to perform large scale multiphysics simulations efficeiently in mordern supercomputers. Dendro consists of efficient parallel data structures and algorithms to perform variational ( finite element) methods and finite difference mthods on 2:1 balanced arbitary adaptive octrees which enables the users to perform simulations raning from black holes (binary black hole mergers) to blood flow in human body, where applications ranging from relativity, astrophysics to biomedical engineering.
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Abstract class for stiffness matrix computation. More...
#include <feMat.h>
Public Member Functions | |
feMat (ot::DA *da) | |
: feMat constructor More... | |
~feMat () | |
deconstructor | |
virtual void | matVec (const VECType *in, VECType *out, double scale=1.0)=0 |
Computes the LHS of the weak formulation, normally the stifness matrix times a given vector. More... | |
void | setProblemDimensions (const Point &pt_min, const Point &pt_max) |
set the problem dimension | |
Protected Attributes | |
ot::DA * | m_uiOctDA |
: pointer to OCT DA | |
ot::DAType | m_uiDaType |
: type of the DA | |
Point | m_uiPtMin |
problem domain min point | |
Point | m_uiPtMax |
problem domain max point | |
Abstract class for stiffness matrix computation.
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pure virtual |
Computes the LHS of the weak formulation, normally the stifness matrix times a given vector.
[in] | in | input vector u |
[out] | out | output vector Ku |
[in] | default | parameter scale vector by scale*Ku |
Implemented in feMatrix< T >, and feMatrix< HeatMat >.