# Presentation: 261746

## UCLA

- V.K. Decyk

- R.E. Waltz
- J. Candy

- The
- Plasma
- Microturbulence
- Project

## The Plasma Microturbulence Project

**Our Goal:**
***Understanding plasma microturbulence***
***through direct numerical simulation***
**Plasma microturbulence is a critical issue to magnetic fusion program**
***Controls energy confinement***
***Determines size and cost of a burning plasma experiment***
**Direct numerical Simulation is the right tool to study microturbulence**
***Far better diagnostics than those available on experiments***
***Excellent resolution can be achieved on existing computers***

**Our Game plan:**
**Code Development**
**Enhanced Fidelity **
**Increased Efficiency**
**Common data analysis & visualization system**
**Code Validation**
**Against each other’s codes**
**Against experiment & theory**
**Expanding our user community**
**Web-based applications**
**Collaborations with theory and experimental communities**

## Plasma Microturbulence is an Interesting Scientific Problem

**Quasi-2-D turbulence in a 3-D toroidal geometry exhibits **
**inverse cascades and other features of 2-D turbulent systems**

## Plasma Microturbulence SimulationsRequire State-of-the-Art Computers

**Largest runs with ‘GTC’ code required 1 billion particles and 125 million **
**grid points using 1024 processors on the IBM-SP at NERSC**

**Plasma Microturbulence Simulations****Require State-of-the-Art Computers**

**Scaling of Plasma Microturbulence with System Size**

## Enhanced Code Fidelity

**Physics relevant for plasma confinement:**
**Ion-scale Physics**
**Electron Dynamics**
**Turbulent Electric & Magnetic Field**
**Realistic Geometry & Plasma Size**
**Accurate implementation demands:**
**Excellent spatial resolution**
**High-order time integration**
**Advanced data-management and visualization dealing with large data sets**

**Simulation Data from GYRO Code**

## 	Plasma Microturbulence Project Codes:
Are largest users of computer cycles within the Fusion Energy Sciences Program
PMP codes Scale ~ Linearly with Number of Processors
Production code efficiencies of 10-20% are achieved

Actively working with  SciDAC Performance Evaluation Research Center to improve code efficiency

- 	***Plasma Microturbulence ******Project Codes:***
**Are largest users of computer cycles within the Fusion Energy Sciences Program**
**PMP codes Scale ~ Linearly with Number of Processors**
**Production code efficiencies of 10-20% are achieved**
**Actively working with*****  SciDAC Performance Evaluation Research Center *****to improve code efficiency**

## Advanced Visualization and Data Analysis Challenges

**Advanced Visualization and Data Analysis Challenges**

- Terabytes of data are now generated at remote location (Data Management, Data Grid technologies)

- Advanced visualization techniques needed to help identify key features in the data (Parallel Visualization)

- Data must be efficiently analyzed to compute derived quantities

- 121 Million
- grid points

- Temperature

- Time

**Particle in Cell Turbulence Simulation**

- Heat Potential

## Data Management, Data Analysis & Visualization

**Terabytes/simulation is Data management issue**
**Interactions with SciDAC Fusion Collaboratory**
**Data must be analyzed**
**To validate codes**
**To gain insight**
**Interactive data analysis**
**New insights from analyzing data in new ways**
**Visualization of analyzed data **
**Multi-dimensional data sets**
**Efficient means of communicating between computers to people**