# Presentation: 424708

## Scientific Simulation Plan

- DOE Briefing to Computer Science and Enabling Technologies Workshop
- Donald M. Austin
*July 20, 1998*

## What we are trying to do --Establish simulation as a Tool for Science

- The Scientific Simulation Plan (SSP)

## SSP Program Structure

- Platforms, Networking Infrastructure

- Computer Science and Enabling Tech

- Climate

- Combustion

- Basic Science
- Materials Sciences
- Fusion Energy
- Structural Genomics
- High Energy & Nuclear Physics Data Management
- Subsurface Flows

## Why Do It?

- Revolutionize the approach to solving complex mission-critical problems
- Build on ASCI foundations
- Deploy computing and communication resources hundreds of times faster than today’s fastest systems
- Focus on Global Climate Change Prediction research and Combustion Modeling
- Broaden academic and industrial use
- Stimulate our National system of innovation.

## Why DOE?

- DOE is a mission agency with a clear charter to provide the end results outlined in this Plan
- Half a century of success in applying the highest performance computing and communications technology to solve scientific problems
- SSP builds on the experience gained in planning and executing ASCI
- Initiatives such as DOE2000 demonstrate DOE’s leadership in building and deploying tools for real applications that make National Collaboratories possible
- DOE has a long history of using multi-disciplinary, multi institutional research teams
- DOE has years of success in constructing and operating large scientific facilities on the same scale as the SSP

## SSP Science Goals

- Climate
- Predict, by the year 2005, regional climate under scenarios of global energy usage (IPCC 4th Assessment)
- Combustion
- Achieve dramatically cleaner, more efficient, and more economical combustion technologies by revolutionizing predictive simulation
- Basic Science
- Simulation breakthroughs in design and operation of advanced generation fusion reactor devices
- Dramatic improvements in our ability to understand, design and create new classes of materials
- Transformation of genomics by creating the ability to understand the function of biological systems directly from their genetic codes

## SSP Infrastructure Goals

- Establish, by 2003, a National scientific network of terascale computing systems
- Establish the crosscutting terascale technology base and operating environments

## Relationship to ASCI

- SSP is built on the experience gained from planning and beginning to execute the ASCI program.
- In certain core areas SSP will co-develop software technology with ASCI to ensure that these technologies can be effectively deployed to SSP applications.
- In a several areas SSP must significantly extend ASCI technologies or develop different technologies for broad scientific simulations.

**Notes:**
SSP is built on the experience gained from planning and beginning to execute ASCI, 
for example our focus on Distributed Collaboration and Data Management and Visualization is partially due to ASCI’s recognition of the importance of these areas
In certain core areas SSP will co-develop software technology with ASCI to ensure that these technologies can be effectively deployed to SSP applications.  Examples of candidate technologies include:
high performance numerical linear algebra libraries,
high performance software for hierarchical storage systems supporting multi-resolution views of data
tools for testing and monitoring the performance of parallel programs on SSP or ASCI scale computers
In a number of areas SSP must significantly extend ASCI technologies or develop different technologies because:
 SSP is significantly more distributed than ASCI in the number of sites, the number of scientists and the number of disciplines; 
SSP has a larger number of problem geometries which it needs to treat;
SSP covers a broader set of physical phenomena			      than weapons physics

## SSP Relation to Other Programs and Agencies

- Global Climate Change Research Program
- DOE CHAMMP
- NOAA Geophysical Fluid Dynamics Lab, Forecast Systems Lab
- NSF National Center for Atmospheric Research
- NASA Earth and Space Sciences Research
- DOE/DP Accelerated Strategic Computing Initiative
- CIC R&D High End Computing and Computation WG
- DOE/ER DOE2000 & NERSC
- NSF PACI & Knowledge Networking Programs
- NASA Computational Aerosciences
- NSA Center for Computing Sciences
- DOD High Performance Computing Modernization Program
- DARPA Ultrascale Computing Program
- NIH National Center for Research Resources
- EPA high performance modeling efforts

## SSP Management Principles

- Applications Driven
- Multi-Organization Coordination and Integration (Inter and Intra)
- Multi agency
- SSP/ASCI
- SSP/DOE’s Energy, Environment, and Science Missions (FE, EE, ER)
- Capitalize on ER’s successful project and research program management
- Capitalize on national assets
- Capitalize on external expertise
- Project management reviews
- Competition
- Major responsibility resides with labs
-   Lead Labs
-   Centers of Excellence
-   Collaboratories
-   External Oversight
-   External Independent Advisors
-   Performance Measurement
-   Peer Review

## Candidate Management Roles

- Headquarters
- Set Technical Goals, Deliverables, Schedules, and Budgets
- Select Major Contractors Competitively
- Provide Oversight and Project Reviews
- Coordinate with ASCI, other DOE programs,  and Other Agencies
- Lead Laboratories and Centers of Excellence
- Propose Technical Goals, Deliverables, Schedules, and Budgets
- Assume Responsibility for Deliverables

## SSP Roles & Responsibilities

- Coordinate Across Agencies
- 	(Existing Mechanisms)
- Act as Champion
-  	(SSP Coordinator)
- Set Vision, Budget, Milestones and Schedules
-  	(S3, R&D Council)
- Manage DOE Wide Coordination
- 	(SSP Coordinator, R&D Council)

## SSP Roles & Responsibilities

- Manage ER Basic Science Coordination
- 	(SSP Coordination Office)
- Set Application Goals and Requirements (Lab, Academia, Project Directors)
- Develop Support and Infrastructure
- 	(SSP Project Director, Lead Labs)
- Assess Performance Measurement
- 	(DOE Program Offices)

## 1998 SSP Workshops

**Some Additional SSP Workshops: **

**Preliminary Planning Workshops:**

- 1/26-27
- 1/28
- 2/5-6
- 2/23-24
- 1/22-23
- 1/28-29
- 2/10-11

- Materials and Geophysics
- Geochemistry
- Large Quantum Mechanical Systems
- Nonlinear Complex Phenomena
- Simulation and Modeling
- Data management analysis and visualization
- Applied mathematics and computer science techniques

- 1/13
- 4/20
- 5/20-21
- 6/1
- 6/3
- 6/8
- 6/9-10
- 6/30-7/2
- 7/1-3
- 7/21-22
- 7/30-31
- 8/17-18

- Biology
- High Energy & Nuclear Physics
- National Climate Modeling
- Chemistry
- Materials
- Basic Science
- Fine Continuum
- Combustion
- Climate
- Cross-Cutting Technologies
- National Academy
- HECCWG Vendor Briefing

## Hardware Procurement Strategy

- Sizing a balanced system for the science
- Global Climate Prediction
- Combustion Modeling
- Basic Science
- Fusion device modeling
- Materials design
- Structural Genomics
- Subsurface flow
- High energy and Nuclear Physics data management

## Hardware Procurement Strategy

- Sizing Strategy
- Open competition for
- 2 5-TF Systems in FY 00
- Could be 2 4-TF and 2 1-TF
- 2 40-TF Systems in FY 03
- Could be 2 30-TF and 2 10-TF
- Procurement Strategy
- Open RFP
- Track ASCI procurements closely

## Assumptions for Hardware Scenarios

## SSP Hardware Scenario 1

- Two 5-TF at a single site

- Two 40-TF  at a single site

## SSP Hardware Scenario 2

- Two 5-TF systems at two separate sites.

- Two 40-TF at two separate sites

## SSP Hardware Scenario 3

- Two 40-TF and 5, 10, 15-TF at 3rd site

- Two 4-TF and 1 2-TF at 3 sites

## SSP Hardware Scenario 4

- Two 40-TF and two 10-TF at 4 sites

- Two 4-TF and 1 2-TF at 4 sites sites