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20/11/2001AstroWise pre kick-off Meeting1 Parallel processing for AstroWise Some considerations for implementation of parallel processing.

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Presentation on theme: "20/11/2001AstroWise pre kick-off Meeting1 Parallel processing for AstroWise Some considerations for implementation of parallel processing."— Presentation transcript:

1 20/11/2001AstroWise pre kick-off Meeting1 Parallel processing for AstroWise Some considerations for implementation of parallel processing

2 20/11/2001AstroWise pre kick-off Meeting2 Current Developments Beowulf for the masses –Oscar User setup Linux cluster infrastructure Add-on software PBS,PVM,MPI,C3 Includes Itanium support

3 20/11/2001AstroWise pre kick-off Meeting3 Current Developments In-a-Box initiative –NCSA Alliance layered software Cluster-in-a-Box (CiB) Grid-in-a-Box (Gib) Display Wall-in-a-Box (DBox) Access Grid-in-a-Box (AGiB)

4 20/11/2001AstroWise pre kick-off Meeting4 Cluster-in-a-Box Builds on OSCAR –Simplify installing and running Linux clusters –Compatible with Alliance’s production clusters –Software foundation for Grid toolkits Display Walls

5 20/11/2001AstroWise pre kick-off Meeting5 Display Wall-in-a-Box Tiled display wall –WireGL, VNC, NCSA Pixel Blaster –Building instructions

6 20/11/2001AstroWise pre kick-off Meeting6 Example Sites NIKHEF D0 Farm –D0 Monte Carlo production

7 20/11/2001AstroWise pre kick-off Meeting7 Nodes –Dell Precision Workstation 220 –CPU: Dual Pentium III processor 800 MHz / 256 kB cache each –Memory: 512 MB PC800 ECC RDRAM –Hard Disk: 40 GB (7200 rpm) ATA-66 –CD-ROM: 20-48x EIDE –Floppy drive: 3.5" 1,44 MB –Graphics card: Diamond Viper V770D, 32 MBI AGP –Network: integrated 3Com Fast Ethernet card (10/100 TPO) Wake up on Lan functionality

8 20/11/2001AstroWise pre kick-off Meeting8 Farm Server –Dell Precision Workstation 620 –CPU: Dual Pentium III Xeon processor 1GHz / 256 kB cache each –Memory: 512 (2x256) MB PC800 ECC RDRAM –Hard Disk: 72.8 Gbyte (10,000 rpm) U160/M SCSI –CD ROM: 20-48x EIDI –Floppy drive: 3.5" 1,44 MB –Graphics card: ELSA Synergy Force Graphics Card –Monitor: Dell Mainstream 17" (15.9 VIS) FST –Network: Integrated 3Com 10/100 MB ethernet controller with Wake up on Lan functionality

9 20/11/2001AstroWise pre kick-off Meeting9 File Server –ELONEX EIDE Server –CPU: Dual Pentium III 700 MHz –Memory: 512 (4 x 128) MB SDRAM DIMM ECC –Floppy drive: 3.5" 1,44 MB –Hard Disk: 2 x 10 Gbyte IDE (system disk) –RAID Controller: 3WARE 3W5800L 8 ports –Data Disks: 16 IBM EIDE 75 GB DTLA EIDE (total of 1.2 Tbyte) –Network: Gigabit Netgear GA620 –Graphics card: Integrated Cirrus Logic GD MB –Monitor: 17" flat screen

10 20/11/2001AstroWise pre kick-off Meeting10 Switch –3Com Superstack II Switch 3300 –24 x 10/100 Base TX (autosensing) –1 x 1 Gbps matrix port for stacking purpose –optional high speed slot; 1000BaseSX, 100BaseFX or Matrix module (4 x 1 Gbps)

11 20/11/2001AstroWise pre kick-off Meeting11 Lorentz Institute 64 AMD 1300 Mhz Rack mount PC’s Monte Carlo Simulation See tour Additional conditions –Power consumption –Heat production

12 20/11/2001AstroWise pre kick-off Meeting12 Configuration Considerations Motherboard –FSB speed (200, 266 MHz) –Memory Rambus DRAM –CPU support > 1.5 Ghz –Pentium 4 (SMP?) –Itanium

13 20/11/2001AstroWise pre kick-off Meeting13 Parallel implementation Single OS, multiple CPU’s –MOSIX Fork and forget Does load balancing, adaptive resource allocation –Cluster of Machines MPI, PMV (Message passing) PVFS (parallel virtual file system) PBS (Portable Batch system) MAUI (Job scheduling)

14 20/11/2001AstroWise pre kick-off Meeting14 Network Latency –Overhead in packing data –Grand copy and wait (4kx2k in 4 sec at 100Mb/s) Bandwidth –Physical capacity of connections –200KPix/s –Switching technology, server at > 1 Gb/s

15 20/11/2001AstroWise pre kick-off Meeting15 Parallellization Simple scripting –Rendezvous problem –Load balancing Code level –MPI Programming –How deep? Loops Matrix splitting Sparse array coding

16 20/11/2001AstroWise pre kick-off Meeting16 Granularity Fine –Small tasks –Frequent comm. –Many processes Coarse –Large tasks –Much comp. work –Infrequent comm.

17 20/11/2001AstroWise pre kick-off Meeting17 Costs Programmer’s time –Analyze, recode Complicated debugging Loss of portability Total CPU time greater with parallel –Initialize & terminate tasks –Comminications among tasks Replication of code, more memory

18 20/11/2001AstroWise pre kick-off Meeting18 Reading/Writing data One process distributes data –Lots of I/O, no local disk? Each process can read/write –Read/write their own file –Read/write own section of big file Master/Slave based on –Dataflow

19 20/11/2001AstroWise pre kick-off Meeting19 Issues Parallellization –On what level, at what cost –Should be serializable as well What kind of cluster –Cluster of Machines –Single OS (large SMP) –Grid connectivity


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