1. Introduction Application of parallel programming to the KAMM model
Thesis to postulate to the Title of Engineer in Computation of The University of La Serena
Orlando Astudillo Reynoso

2. Topics of Discussion KAMM with multiple Nesting
For that parallel programming?
Algorithm
Results

3. Kamm
KAMM is a model of physical bases that describes the three-dimensional atmospheric fields of the wind, temperature, pressure and humidity in the mesoscale.
The Model was developed to be executed on a Vectorial Computer in the Institute of Meteorology and Climatology (IMK), Germany.

4. Boundary conditions Upper boundary: climate/weather prediction model.
Lower boundary: given by a soil and vegetation model.
Lateral boundary: “radiation” condition with diagnostic phase velocity (eliminate reflexion of gravity waves)

5. Nesting
The process of Nesting for the KAMM Model, consists on make simulations over nested regions, so that each internal region, it uses like boundary conditions, the values obtained in the external region, in order to eliminate the artificial boundary conditions, and to obtain a more realist simulation, focused in a more interest area.

6. Serial execution of KAMM Model
Characteristic Sun 280 R Server
Processors : 2 processors UltraSparc-III
Performance : 3 GFlops (1,5 GFlops for processor)
Memory : 8 GByte SDRAM
Simulation
Grid resolution : 90(East-West) x 50(North-South) x (40 levels of height)
Dx=2000 M. Dy =2000 M.
Sampling of data : Every hour, three-dimensional fields of data.
CPU time : 26 hours of simulatión = 78 CPU hours
Nesting for 4 regions : Over 13 days

7. How improve the performance for the procedure of Nesting
Paralell
New technologies
increase in the number
of instructions that
can be executed
simultaneously
COSTS
GRID
hardware improvements
Decrease in the times
required to execute
an instruction
Distributed computation
Access into a Net of heterogeneous resources that act as a great virtual computer.

8. Parallel Nesting

9. How distributing the boundary conditions?

10. MPI Programming (message passing interface)
Simultaneous execution of processes with instances of the model for each region involved in the procedure of Nesting.
Send and reception of regular messages, in this case the boundary conditions, this conditions or values are stored on not contiguous memory regions.
The presence of collective operations to the moment to generate the step of time for the group of instances of the simulation.

11. Campus Grid User Applications Compute Server Infrastructure Middleware
life sciences
molecular dynamics
fluid mechanics
meteorology
solid-state physics
Compute Server
existing hardware +
NEC vector computer
Infiniband cluster with nodes
based on Itanium/Opteron
collaborating instituts:
IFIA, IFP, IMK, INT
Infrastructure
Middleware
consistent batch interface
global data storage
user authentication
accounting
external collaborator:
MTU Aero Engines
CEAZA, Chile
KAMM (IMK)
climate simulations
KAMM (IMK)
climate simulations
Cooperation with:
NEC European Supercomputer Systems
PARTEC AG
Department for Grid Computing and e-Science
Department for Grid Computing Infrastructure and Services
COSMOS (IFIA)
Molecular Mechanics and Dynamics
using Bond Polarization Theory

12. Conclusions Exploit the parallelism like a tool in the model develop.
Interaction among professionals of the computation and scientific of the area
Generate environments of distributed computing.