high-performance computing business priorities presentation

High-Performance Computing

Business Priorities Presentation

AgendaAgenda

Business Drivers / Challenges

Business Capabilities

Summary and Next Steps

Demonstration

Business Context “We saved $100,000 per year in personnel costs by going with Windows HPC Server over Linux."

–Kurt Dobson, Scientist, Seer Technology

https://www.microsoft.com/

casestudies/Case_Study_Detail.aspx?

casestudyid=4000004656

“We had no worries about the learning curve for our IT staff members either. They have reported that the Microsoft HPC environment is as reliable and easy to manage as a standard group of computers on the Windows Server operating system.”

–Chuck Mahon, IT Infrastructure Manager,

Western & Southern Financial Group

http://www.microsoft.com/casestudies/

Case_Study_Detail.aspx?casestudyid=4000003019

"We wouldn’t have been able to scale out to adapt to regulatory changes in the past, but with Windows HPC Server 2008, it’s possible to add new nodes to our cluster—with proprietary software installed—in less than 30 minutes."

–Evan Nichols, Systems Lead Analyst,

Reinsurance Group of America


Case_Study_Detail.aspx?CaseStudyID=4000007380

“We’re experiencing quick development, solid performance, and ease of use. With Windows HPC Server 2008, we now have the hardware and software to help meet our scientists’ data-processing needs.”

–Jean-Michel Batto, IT and Data Processing

Manager, Microbial Genetics Unit

Laboratory, National Institute for Agricultural

Research


Case_Study_Detail.aspx?CaseStudyID=4000003935

Business Drivers

Make better decisions

Drive product innovation and time to market

Speed research and discovery

Increase cost savings and efficiency

Business

Reducing the time and expense required to support the high-performance computing cluster

Harnessing the power of supercomputing through the familiar Microsoft® Windows® environment

Providing high-performance computing that is easier to learn and use

Reducing the total cost of ownership while increasing ease of use and end-user productivity

Collaborating effectively across separate domains, with the resulting reductions in speed and quality of decisions

Analyzing large data sets faster and more efficiently to gain better insights

Challenges

Challenges

Providing integration across workstations and clusters, applications and data, and departments

Providing reliable remote access to high-performance computing that includes security and protection of intellectual property

Integrating high-performance computing “islands” to achieve maximum use of valuable resources

Managing security access to ensure data and findings are available to authorized personnel only

Centrally managing server use and resource sharing

ITChallenges

A solution should help… …by providing the ability to

MAKE BETTER DECISIONS

Gain competitive advantageAnalyze large data sets faster and more efficiently to gain better insightsGive information to the right people at the right time to drive key decisions

DRIVE PRODUCT INNOVATION AND TIME TO MARKET

Increase the use of simulation technology to drive product innovationCreate more realistic models to drive better designSpeed the time to market for product development by harnessing computational capacity

SPEED RESEARCH AND DISCOVERY

Enable collaboration across groups who use simulation technologyCreate shared workflows to collaborate on models and resultsCreate more realistic models to better understand the physical world

INCREASE COST SAVINGS AND EFFICIENCY

Maximize the efficiency of fixed space and power to increase the number and scale of simulationsScale beyond existing capacity as neededCentrally manage applications to optimize infrastructure and drive cost savingsAllow multiple groups to share infrastructure while optimizing resource availability

Solution Support

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Demonstration

[ Insert Demo Title ]Demo

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Demonstration

Solution’s Business Drivers

MAKE BETTER DECISIONSSPEED RESEARCH AND DISCOVERY



Sophistication of the Solution

Phase 1

Provides basic support for the most critical elements of the business driver

Phase 2

Provides adequate, typical support for critical and priority elements of the business driver

Phase 3

Provides thorough, streamlined support for the business driver that enables differentiated levels of performance

MAKE BETTER DECISIONSSPEED RESEARCH AND DISCOVERY



Range of Business Capabilities

Business Driver: Make better decisions

Phase 1 Phase 2 Phase 3Scale and aggregate data and calculations in parallel and enable summarization of data and results to make better decisions

Analyze a maximum amount of data in minimal time

Lay out predefined database views so that users can easily build their own reports

Prioritize deals to ensure that the most urgent calculations are completed first

Enable parallel computing for performing simultaneous calculations and then solving them concurrently

Ensure timely decisions with minimal error and greater accuracy

More easily identify when data is ready for review and when decisions can be made

Prioritize computational needs based on business needs to analyze the most urgent data first

Provide immediate output during calculations by displaying more information to users at a faster speed

Enable transparent access to information through common tools so users have faster access to more information, can analyze information more thoroughly, and can make better-informed decisions


Business Driver: Drive product innovation and time to market

Phase 1 Phase 2 Phase 3Allow the results of early simulations to affect assumptions in later simulations

Enable larger simulations to analyze specific data to support smaller experiments within the model

Process large data sets without freezing a workspace for long periods

Minimize the number of incomplete jobs and broken jobs

Maximize the time available to run simulations by ensuring infrastructure is at full capacity

Allow for the storage and accessibility of all simulation and experiment results

Store completed analysis clusters and easily return to the information

Identify broken or stopped jobs quickly and replace them with productive jobs

Prioritize and maximize the simulations that are run for each experiment to use minimal time and optimal resources

Allow researchers to easily query and see large sets of data and transfer relevant data as it is recognized

Integrate multiple technologies to complete data analysis without data flow problems

Provide mechanisms to restart systems automatically and to initiate failover of broken nodes to ensure better business continuity


Business Driver: Speed research and discovery

Phase 1 Phase 2 Phase 3Allow for multiple researchers, in parallel, to access the same model and run scenarios with different assumptions or inputs

Create common workflows within all testing facilities

Provide the ability to focus on high-priority simulations to ensure the earliest possible results

Optimize use of computing resources to provide all users with quick access to research results based on business priorities

Set up a system to monitor jobs to avoid duplication of jobs

Integrate research outcomes with the latest results from other simulations and experiments

Provide the ability to schedule dependent simulations to run after prerequisite simulations have run

Consolidate and provide access to large volumes of data and results that are produced by model-based analysis

Enable administrators to easily measure performance and efficiency and to help detect problems and take corrective actions

Enable computation that allows many simultaneous operations regardless of the underlying technology


Business Driver: Increase cost savings and efficiency

Phase 1 Phase 2 Phase 3Minimize the time required to run a defined set of test simulations successfully

Allocate resources to match departmental surges in capacity

Provide in-depth health reports and a knowledge base that has detailed information to facilitate faster and easier resolution of issues related to server use

Ensure that all applications are included in IT inventory, can be supported, and can be used by peers

Run additional tests and simulations while ensuring faster and more efficient use of resources

Scale and optimize resource use through a combination of cloud-based and on-premises resources

Enable service-level monitoring to help system administrators quickly validate that resources are available and performing as expected

Keep track of all software licensing and construct reports about application deployment and use

Deliver faster simulation results by increasing computing power, while optimizing infrastructure to run simulations and tests more effectively

Actively manage server use to make sure prioritization does not occur until hardware is at full capacity

Offer a systematic and secure solution that is deployed from the cloud, integrates with on-premises assets, and gives IT organizations oversight and control of distributed data assets

Enable intelligent monitoring, reporting, and automation of routine and redundant tasks to reduce the level of manual effort required

Maximize the effectiveness of software licenses through central management


Business Driver: Increase cost savings and efficiency (continued)

Phase 1 Phase 2 Phase 3Allow multiple groups to contribute to experiments while ensuring that users have appropriate access to resources and data

Enable users to specify computational, networking, and application resource requirements and to perform the correct placement for the job

Enable researchers to create and run independent experiments and simulations, perform scheduling tasks, and submit or cancel jobs as required

Allow IT support to manage the administration of simulations without having access to the data within them

Centrally manage server use to ensure that capacity is full before processing requests to prioritize jobs

Manage user identity and access control for launching and monitoring jobs, and for gaining access to data and results, while improving data security

Allow jobs to be placed more efficiently for their applications' performance characteristics while protecting data from experiments and simulations

AgendaAgenda




Demonstration

Potential Business Benefits

Decreases deployment times and improves the ability to bring new products to market

Makes supercomputing more accessible through a familiar Windows desktop environment without requiring specialized skills or training

Helps save time by providing a common productivity and development platform across technical workstations and clusters

Interoperates with existing high-performance computing software infrastructure without requiring specialized skills, tools, or training

Next Steps

Discuss your priorities with ITMap to systems requirements

Understand what can be leveraged

Develop a high-level road map for deploying integrated capabilities

Translate back into business capabilities enabled/supported

Review the proposed business capability road map

© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing

market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

high-performance computing business priorities presentation

Documents

windows server

windows hpc server

server use

data processing manager

ease of use

am2 business context

business drivers5a solution

computing islands