Accelerating Time to Results KC ZHANG

Panasas Technical and Business Development Manager [email protected]

Leader in Parallel Storage Systems

Agenda

Panasas introduction Customer successes Panasas solutions

Slide 2

Panasas Availability

Panasas, Inc.

Panasas

Founded by Garth Gibson in 1999. First Customer Ship in 2003 The fastest supercomputer in the world runs Panasas

Slide 3

Primary Investors: HQ – Silicon Valley Market Focus: o o o o o o Energy Academia Government Life Sciences Manufacturing Finance Technologies: parallel file system and parallel storage appliance World wide support with over 25 global resellers

Panasas, Inc.

Partnering to meet customer needs

Application ISVs Resellers Standards Development Slide 4 Panasas, Inc.

Recognized Product Innovation and Excellence

NAS Magic Quadrant “Visionary ” Best HPC Storage Product Top 5 Vendors to Watch in 2009 Top Collaboration Between Government and Industry

Roadrunner,

Top Supercomputing Achievement

Roadrunner, Los Alamos National Laboratory

Top Supercomputing Achievement

Roadrunner, Los Alamos National Laboratory

8 Panasas Customers Win HPCWire Awards in 2008!

6 Panasas Customers Win HPCWire Awards in 2007!

10 Disruptive New Storage Technologies Promise Big Changes Panasas, Inc.

Slide 5

Slide 6

Panasas Powers RoadRunner

Panasas, Inc.

RoadRunner at a Glance

Slide 7 Panasas, Inc.

Petascale Red Infrastructure Diagram with Roadrunner Accelerated FY08

Secure Core switches NFS and other network services, WAN Nx10GE NxGE Archive Nx10GE FTA’s I B 4 X Compute Unit Site wide Shared Global Parallel File System (Panasas) 10GE IONODES r e e F a t T Compute Unit 4 GE per 5-8 TB 10GE IONODES IO Unit M y r i n e t CU Roadruner Phase 3 1.026 PF Roadrunner Phase 1 70TF CU Scalable to 600 GB/sec before adding Lanes Slide 8 1GE IONODES IO Unit M y r i n CU e t Panasas, Inc.

CU Lightning/Bolt 35 TF

Leaders in HPC choose Panasas

SWIFT ENERGY COMPANY Panasas, Inc.

Slide 9

The Common Themes

Slide 10

A. Very complex problems and simulations B. Very large number of files being used concurrently C. Very large number of concurrent users/servers D. Consolidating Users and Clusters on one storage system E. Any or all of the above

Panasas solves the most difficult storage problems while delivering very high reliability in an easy to use appliance-like package.

Panasas, Inc.

Breaking Through the Bottleneck

Clusters = Parallel Compute

Linux Compute Cluster

Parallel Compute needs Parallel IO

Linux Compute Cluster Issues Complex Scaling Limited BW & I/O Islands of storage Inflexible Expensive

Slide 11 Single data path to storage

Monolithic Storage

(NFS servers)

Benefits Linear Scaling Extreme BW & I/O Single storage pool Ease of Mgmt Lower Cost

Parallel data paths Panasas, Inc.

Panasas Parallel Storage Clusters

What is Parallel Storage?

The architecture for scale-out file storage NFS Clustered NFS File Server File Server File Server Parallel NFS Slide 12 NAS: Network Attached Storage Clustered Storage: Multiple NAS file servers managed as one. Good aggregate performance.

Parallel Clustered Storage: File server not in data path. Performance bottleneck eliminated.

Panasas, Inc.

Panasas Storage Cluster: Built on Industry-Standard Components

Integrated 10GE Switch Battery Module (2 Power units) Shelf Front 1 DB, 10 SB Shelf Rear DirectorBlade Midplane routes GE, power

Slide 13

StorageBlade

Panasas, Inc.

Performance and Scaling

DirectFLOW client o Standard installable file system o o Supports all common Linux flavors Support up to 12K clients Panasas DirectFLOW® data path DirectorBlade cluster o Divides namespace into virtual volumes o Allows metadata to scale (no bottleneck) Demonstrated scalable performance o 30+ GB/sec of sustained throughput from a single filesystem

Slide 14 Panasas, Inc.

Scalable NAS - NFS/CIFS

Scalable NFS/CIFS server o o o o Load automatically distributed across scalable DirectorBlade modules Scale to satisfy growing number of clients Any DirectorBlade module can access any file Slide in a new DB, instantly get more NFS ops/sec into the same data Access same data from any protocol o o Integrates non-Linux devices into system 2+9 configuration typically best for NFS. Balances CPU ops/sec with disk ops/sec

Slide 15 Panasas, Inc.

Total Time in Hours to complete the job

400 350 300 250 200 150 100 50 0 Panasas Other Vendor A Other Vendor B Data Set

•

23 Million Traces

•

139GB input dataset

•

234GB output depth migrated image gathers

•

247MB per depth slice, 970 depth slices

Throughput of Reads & Writes (MB/sec)

60 30 20 50 40 10 0 Panasas Chart Legend Read Rate Other Vendor A Write Rate Other Vendor B Data Set

•

23 Million Traces

•

139GB input dataset

•

234GB output depth migrated image gathers

•

247MB per depth slice, 970 depth slices

1400 1200 1000 800 600 400 200 0

Aggregate Throughput for 24 Nodes

Data Set

•

23 Million Traces

•

139GB input dataset

•

234GB output depth migrated image gathers

•

247MB per depth slice, 970 depth slices Chart Legend Aggregate Read Throughput Aggregate Write Throughput Panasas Other Vendor A Other Vendor B

Job Time Activity

Panasas Chart Legend Processor Waiting on Data Computation Other Vendor A Other Vendor B Data Set

• • • •

23 Million Traces 139GB input dataset 234GB output depth migrated image gathers 247MB per depth slice, 970 depth slices

ActiveScale Operating System

DirectFLOW ® Protocol o Provides parallel data paths for maximum performance PanFS™ Parallel File System o o o Distributed and parallel file system Block management hidden behind object storage interface File management distributed across metadata managers Designed to be managed by non-storage professionals ActiveScan Predictive Media Management o o Continuous sweeps of all data and disk media in the StorageBlade If discrepancies are detected the system proactively corrects the media defects Predictive Disk Management o Anticipates disk problems with automated, predictive failure analysis; data is moved prior to failure, to avoid reconstruction Real-time monitoring of client load generation o Identify performance bottlenecks among storage users

Slide 20 Panasas, Inc.

Horizontal Parity: Panasas ObjectRAID

Parity calculated and written to disk(s) o Any failed disk can be reconstructed from the remaining disks Panasas ObjectRAID is faster o Uses multiple RAID controllers to run in parallel (“Parallel Reconstruction”) Panasas ObjectRAID is more efficient o Reconstructs only user data versus every sector on disk 800GB Blade reconstructed in 31 minutes at Los Alamos National Laboratory!

Horizontal Parity Slide 21 Panasas, Inc.

Unique: Vertical Parity

Solves media error problem regardless of drive density “RAID” within an individual drive Improves on internal ECC capabilities Independent of horizontal array based parity schemes Seamless recovery from media errors by applying RAID schemes across disk sectors

Vertical Parity Slide 22 Vertical Parity Horizontal Parity Panasas, Inc.

Unique: Network Parity

Extends parity capability across the data path to the client or server node Enables

end-to-end

data integrity validation o Protects from errors introduced by disks, firmware, server hardware, server software, network components and transmission o Client either receives valid data or an error notification

Network Parity Vertical Parity Horizontal Parity Slide 23 Panasas, Inc.

Manageability: Single Global Namespace

Panasas removes artificial, physical and logical boundaries o Eliminates need to maintain mount scripts or move data

Cluster 1 Cluster 2 Cluster 3 Cluster 1 Cluster 2 Cluster 3 Single Global Namespace Cluster 1 Results Archived Files Cluster 2 Results Cluster 3 Results

Traditional Storage Networks Slide 24 Panasas Storage Cluster Panasas, Inc.

Automatic provisioning for easy growth

Online Provisioning o Configure One DirectorBlade and all others obtain their configuration via DHCP on private port o New Storage is seamlessly integrated into the system DHCP on Private Port Reading Config Setting IP Addrs Matching Versions Growth without limitations o Terabytes to Petabytes o Single seamless namespace

Single Seamless Namespace!

Panasas, Inc.

Slide 25

Manageability: Automatic RAID configuration

Per File RAID o RAID Layout is an Attribute Stored within the Object System assigns RAID level based on file size o < 64 KB RAID 1 for efficient space allocation o > 64 KB RAID 5 for optimum system performance Automatic transition from RAID 1 to 5 o No re-striping Two level RAID MAP, Stripe width and depth o Automatically optimizes stripe size

Small File RAID 1 Mirroring Large File RAID 5 Striping

Enables optimum system growth and reconstruction

Panasas, Inc.

Slide 26

Manageability: Dynamic Load Balancing

1 StorageBlade Capacity 2 StorageBlade Performance 3 DirectorBlade Performance

Biases new data objects to new blades Dynamically moves data objects from filled blades as needed Data objects striped broadly for performance Dynamically moves objects from “hot” blades Cluster design assigns new clients to least utilized DirectorBlades

Slide 27 Panasas, Inc.

Proven Panasas Scalability

Storage Cluster Sizes Today (e.g.) o

Boeing

, 50 DirectorBlades, 500 StorageBlades in one system. (plus 25 DirectorBlades and 250 StorageBlades each in two other smaller systems.) o

LANL

RoadRunner.100 DirectorBlades, 1000 StorageBlades in one system today, planning to increase to 144 shelves next year.

o

Intel

has 5,000 active DF clients against 10-shelf systems, with even more clients mounting DirectorBlades via NFS. Release 3.2 will allow them to deploy up to 12,000 clients against a single system.

o

BP

uses 200 StorageBlade storage pools as their building block o Most customers run systems in the 100 to 200 blade size range

Slide 28 Panasas, Inc.

Fast Deployment

Panasas Appliance Model o Deploy solutions in hours and days vs. weeks and months o Ireland's most powerful computer (#117 in the world) was installed in three hours and powered up in just one day, thanks to a rapidly deployable computing platform from Silicon Graphics and Panasas.

http://biz.yahoo.com/prnews/090205/sf67219.html?.v=1

Slide 29 Panasas, Inc.

ActiveScale 3.2 Released Sept 2008

Performance

10 GE switch => 50% improvement in shelf performance Multi-core client performance tuning Infiniband connectivity RAID-10 volumes to optimize N-1 workloads

Reliability

Complete HA feature set with addition of NFS/CIFS Fail over Industry leading data integrity with Vertical Parity and Network Parity

Manageability

Snapshots NDMP support for easy backups

Slide 30 Panasas, Inc.

Summary

Slide 31

Parallel storage provides high performance for faster survey turnaround and more complex algorithms o 10s of GB/s in production seismic processing data centers o 50% performance increase per shelf with 10Gb Ethernet Scalability to support more complex data acquisition and larger clusters o Deployed on a single shelf on survey vessels o 12,000 core clusters in production today o 4PB+ systems in production today Proven across the E&P industry o All major ISVs: Landmark, Paradigm, Schlumberger o Operating on 6 continents for Service Cos., NOCs, Majors and Independents

Panasas is proven to cost effectively increase processing throughput!

Panasas, Inc.

For more information, call Panasas at: 1-888-PANASAS (US & Canada) 00 (800) PANASAS2 (UK & France) 00 (800) 787-702 (Italy) +001 (510) 608-7790 (All Other Countries)

Thank You

张克诚

13701026265

Panasas, Inc.

Slide 32