1. 3 rd EGEE Conference Athens 18 th April, 2005. Stephen McGibbon Senior Director, EMEA Technology Office Chief Technology Officer, Central & Eastern Europe, Russia & CIS Microsoft Corporation

2. Supercomputing: Yesterday vs. Today 199119982005 SystemCray Y-MP C916Sun HPC10000Shuttle @ NewEgg.com Architecture 16 x Vector 4GB, Bus 24 x 333MHz Ultra-SPARCII, 24GB, SBus 4 x 2.2GHz Athlon64 4GB, GigE OS UNICOSSolaris 2.5.1Windows Server 2003 SP1 GFlops ~10 Top500 # 1500N/A Price $40,000,000$1,000,000 (40x drop)< $4,000 (250x drop) Customers Government LabsLarge EnterprisesEvery Engineer & Scientist Applications Classified, Climate, Physics Research Manufacturing, Energy, Finance, Telecom Bioinformatics, Materials Sciences, Digital Media

3. Top 500 Supercomputer Trends Industry usage is rising Clusters over 50% GigE is gaining IA is growing

4. Commoditized HPC Systems are Affecting Every Vertical Leverage Volume Markets of Industry Standard Hardware and Software. Rapid Procurement, Installation and Integration of systems Cluster Ready Applications Accelerating Market Growth Engineering Bioinformatics Oil & Gas Finance Entertainment Government/Research The convergence of affordable high performance hardware and commercial apps is making supercomputing a mainstream market

6. Cheap, Interactive HPC Systems Are Making Supercomputing Personal Grids of personal & departmental clusters Personal workstations & departmental servers Minicomputers Mainframes

7. The Evolving Nature of HPC ScenarioFocus Departmental Cluster Conventional scenario IT owns large clusters due to complexity and allocates resources on per job basis Users submit batch jobs via scripts In-house and ISV apps, many based on MPI Scheduling multiple users’ applications onto scarce compute cycles Cluster systems administration Personal/Workgroup Cluster Emerging scenario Clusters are pre-packaged OEM appliances, purchased and managed by end-users Desktop HPC applications transparently and interactively make use of cluster resources Desktop development tools integration Interactive applications Compute grids HPC Application Integration Future scenario Multiple simulations and data sources integrated into a seamless application workflow Network topology and latency awareness for optimal distribution of computation Structured data storage with rich meta-data Applications and data potentially span organizational boundaries Data-centric, “whole- system” workflows Data grids Interactive Computation and Visualization Manual, batch execution IT Mgr SQL

8. Windows HPC Environment Data Input Job Policy, reports Management DB or FS High speed, low latency interconnect (Ethernet over RDMA, Infiniband) User Job Admin User Mgmt Resource Mgmt Cluster Mgmt Job Mgmt Web service Web page Cmd line Head Node Cluster Node Job Mgr Resource Mgr User AppMPI Node Mgr Sensors, Workflow, Computation Data mining, Visualization, Workflow Remote query Active Directory Microsoft Operations Manager Windows Server 2003, Compute Cluster Edition

9. Microsoft’s focus... Users require: An integrated supported solution stack leveraging the Windows infrastructure Simplified job submission, status and progress monitoring Maximum compute performance and scalability Simplified environment from desktops to HPC clusters Administrators require: Ease of setup and deployment Better cluster monitoring and management for maximum resource utilization Flexible, extensible, policy-driven job scheduling and resource allocation High availability Secure process startup and complete cleanup Developers Require: Programming environment that enables high productivity Availability of optimized compilers (Fortran) and math libraries Parallel debugger, profiler, and visualization tools Parallel programming models (MPI)

10. We agree on a lot … Grid moving to WS & SOA Scientist productivity Core standards areas Integration with typical desktop productivity tools Scientist in control – stop/start, reproducibility Addressing Management Security & Trust Service Orientation – essentially abstraction Web Services Inherent heterogeneity - Interoperability

11. Unifies today’s distributed technologies Appropriate for use on-machine, cross machine, and cross Internet WS-* interoperability with other platforms Interoperable with today’s technologies Service-oriented programming model Maximized developer productivity Unification Interoperability Service-OrientedProgramming The unified programming model for building service-oriented applications

12. © 2005 Microsoft Corporation. All rights reserved. This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.