1. TITAN: A Next-Generation Infrastructure for Integrating and Communication David E. Culler Computer Science Division U.C. Berkeley NSF Research Infrastructure Meeting Aug 7, 1999

2. Aug, 1999NSF RI 992 Project Goal: “Develop a new type of system which harnesses breakthrough communications technology to integrate a large collection of commodity computers into a powerful resource pool that can be accessed directly through its constituent nodes or through inexpensive media stations.” –SW architecture for global operating system –programming language support –advanced applications –multimedia application development

3. Aug, 1999NSF RI 993 Driving Applications Computational and Storage Core –architecture –operating systems –compiler, language, and library Project Components High Speed Networking Multimedia Shell The Building is the Computer

4. Aug, 1999NSF RI 994 Use what you build, learn from use,... Develop Enabling Systems Technology Develop Driving Applications

5. Aug, 1999NSF RI 995 Highly Leveraged Project Large industrial contribution –HP media stations –Sun compute stations –Sun SMPs –Intel media stations –Bay networks ATM, ethernet Enabled several federal grants –NOW –Titanium, Castle –Daedalus, Mash –DLIB Berkeley Multimedia Research Center

6. Aug, 1999NSF RI 996 Landmarks Top 500 Linpack Performance List MPI, NPB performance on par with MPPs RSA 40-bit Key challenge World Leading External Sort Inktomi search engine NPACI resource site Sustains 500 MB/s disk bandwidth and1,000 MB/s network bandwidth

7. Aug, 1999NSF RI 997 Sample of 98 Degrees from Titan Amin Vahdat:WebOS Steven Lumetta: Multiprotocol Communication Wendy Heffner: Multicast Communication Protocols Doug Ghormley: Global OS Andrea Dusseau: Implicit Co-scheduling Armando Fox: TACC Proxy Architecture John Byers:Fast, Reliable Bulk Communication Elan Amir:Media Gateway David Bacon:Compiler Optimization Kristen Wright:Scalable web cast Jeanna Neefe:xFS Steven Gribble:Web caching Ian Goldberg:Wingman Eshwar Balani:WebOS security Paul Gautier:Scalable Search Engines

8. Aug, 1999NSF RI 998 Results Constructed three prototypes, culminating in 100 processor UltraSparc NOW + three extensions –GLUnix global operating system layer –Active Messages providing fast, general purpose user-level communication –xFS cluster file system –Fast sockets, MPI, and SVM –Titanium and Split-C parallel languages –ScaLapack libraries Heavily used in dept. and external research => instrumental in establishing clusters as a viable approach to large scale computing => transitioned to an NPACI experimental resource The Killer App: Scalable Internet Services

9. Aug, 1999NSF RI 999 First HP/fddi Prototype FDDI on the HP/735 graphics bus. First fast msg layer on non-reliable network

10. Aug, 1999NSF RI 9910 SparcStation ATM NOW ATM was going to take over the world. Myrinet SAN emerged The original INKTOMI

11. Aug, 1999NSF RI 9911 Technological Revolution The “Killer Switch” –single chip building block for scalable networks –high bandwidth –low latency –very reliable »if it’s not unplugged => System Area Networks 8 bidirectional ports of 160 MB/s each way < 500 ns routing delay Simple - just moves the bits Detects connectivity and deadlock

12. Aug, 1999NSF RI 9912 100 node Ultra/Myrinet NOW

13. Aug, 1999NSF RI 9913 NOW System Architecture Net Inter. HW UNIX Workstation Comm. SW Net Inter. HW Comm. SW Net Inter. HW Comm. SW Net Inter. HW Comm. SW Global Layer UNIX Resource Management Network RAM Distributed Files Process Migration Fast Commercial Switch (Myrinet) UNIX Workstation UNIX Workstation UNIX Workstation Large Seq. Apps Parallel Apps Sockets, Split-C, MPI, HPF, vSM

14. Aug, 1999NSF RI 9914 Software Warehouse Coherent software environment throughout the research program –Billions bytes of code Mirrored externally New SWW-NT

15. Aug, 1999NSF RI 9915 Multi-Tier Networking Infrastructure Myrinet Cluster Interconnect ATM backbone Switched Ethernet Wireless

16. Aug, 1999NSF RI 9916 Multimedia Development Support Authoring tools Presentation capabilities Media stations Multicast support / MBone

17. Aug, 1999NSF RI 9917 Novel Cluster Designs Tertiary Disk –very low cost massive storage –hosts archive of Museum of Fine Arts Pleiades Clusters –functionally specialized storage and information servers –constant back-up and restore at large scale –NOW tore apart traditional AUSPEX servers CLUMPS –cluster of SMPs with multiple NICs per node

18. Aug, 1999NSF RI 9918 Massive Cheap Storage Basic unit: 2 PCs double-ending four SCSI chains Currently serving Fine Art at http://www.thinker.org/imagebase/

19. Aug, 1999NSF RI 9919 Information Servers Basic Storage Unit: – Ultra 2, 300 GB raid, 800 GB tape stacker, ATM –scalable backup/restore Dedicated Info Servers –web, –security, –mail, … VLANs project into dept.

20. Aug, 1999NSF RI 9920 Cluster of SMPs (CLUMPS) Four Sun E5000s –8 processors –3 Myricom NICs Multiprocessor, Multi- NIC, Multi-Protocol

21. Aug, 1999NSF RI 9921 Novel Systems Design Virtual networks –integrate communication events into virtual memory system Implicit Co-scheduling –cause local schedulers to co-schedule parallel computations using a two-phase spin-block and observing round-trip Co-operative caching –access remote caches, rather than local disk, and enlarge global cache coverage by simple cooperation Reactive Scalable I/O Network virtual memory, fast sockets ISAAC “active” security Internet Server Architecture TACC Proxy architecture

22. Aug, 1999NSF RI 9922 Fast Communication Fast communication on clusters is obtained through direct access to the network, as on MPPs Challenge is make this general purpose –system implementation should not dictate how it can be used

23. Aug, 1999NSF RI 9923 Virtual Networks Endpoint abstracts the notion of “attached to the network” Virtual network is a collection of endpoints that can name each other. Many processes on a node can each have many endpoints, each with own protection domain.

24. Aug, 1999NSF RI 9924 Process 3 How are they managed? How do you get direct hardware access for performance with a large space of logical resources? Just like virtual memory –active portion of large logical space is bound to physical resources Process n Process 2 Process 1 *** Host Memory Processor NIC Mem Network Interface P

25. Aug, 1999NSF RI 9925 Network Interface Support NIC has endpoint frames Services active endpoints Signals misses to driver –using a system endpont Frame 0 Frame 7 Transmit Receive EndPoint Miss

26. Aug, 1999NSF RI 9926 Communication under Load Client Server Msg burst work => Use of networking resources adapts to demand. => VIA (or improvements on it) need to become widespread

27. Aug, 1999NSF RI 9927 Implicit Coscheduling Problem: parallel programs designed to run in parallel => huge slowdowns with local scheduling –gang scheduling is rigid, fault prone, and complex Coordinate schedulers implicitly using the communication in the program –very easy to build, robust to component failures –inherently “service on-demand”, scalable –Local service component can evolve. A LS A GS A LS GS A LS A GS LS A GS

28. Aug, 1999NSF RI 9928 Why it works Infer non-local state from local observations React to maintain coordination observationimplication action fast response partner scheduledspin delayed response partner not scheduledblock WS 1 Job A WS 2 Job BJob A WS 3 Job BJob A WS 4 Job BJob A sleep spin requestresponse

29. Aug, 1999NSF RI 9929 I/O Lessons from NOW sort Complete system on every node powerful basis for data intensive computing –complete disk sub-system –independent file systems »MMAP not read, MADVISE –full OS => threads Remote I/O (with fast comm.) provides same bandwidth as local I/O. I/O performance is very tempermental –variations in disk speeds –variations within a disk –variations in processing, interrupts, messaging,...

30. Aug, 1999NSF RI 9930 Reactive I/O Loosen data semantics –ex: unordered bag of records Build flows from producers (eg. Disks) to consumers (eg. Summation) Flow data to where it can be consumed D A D A D A D A D A D A D A D A Distributed Queue Static Parallel Aggregation Adaptive Parallel Aggregation

31. Aug, 1999NSF RI 9931 Performance Scaling Allows more data to go to faster consumer

32. Aug, 1999NSF RI 9932 Driving Applications Inktomi Search Engine World Record Disk-to_Disk store RSA 40-bit key IRAM simulations, Turbulence, AMR, Lin. Alg. Parallel image processing Protocol verification, Tempest, Bio, Global Climate... Multimedia Work Drove Network Aware Transcoding Services on Demand –Parallel Software-only Video Effects –TACC (transcoding) Proxy »Transcend »Wingman –MBONE media gateway

33. Aug, 1999NSF RI 9933 Transcend Transcoding Proxy Application provides services to clients Grows/Shrinks according to demand, availability, and faults Service request Front-end service threads Caches User Profile Database Manager Physical processor

34. Aug, 1999NSF RI 9934 UCB CSCW Class Sigh… no multicast, no bandwidth, no CSCW class... Problem Enable heterogeneous sets of participants to seamlessly join MBone sessions.

35. Aug, 1999NSF RI 9935 Software agents that enable local processing (e.g. transcoding) and forwarding of source streams. Offer the isolation of a local rate-controller for each source stream. Controlling bandwidth allocation and format conversion to each source prevents link saturation and accommodates heterogeneity. GW A Solution: Media Gateways

36. Aug, 1999NSF RI 9936 A Solution: Media Gateways Media GW MBone Sigh… no multicast, no bandwidth, no MBone... AHA!

37. Aug, 1999NSF RI 9937 FIAT LUX: Bringing it all together Combines –Image Based Modeling and Rendering, –Image Based Lighting, –Dynamics Simulation and –Global Illumination in a completely novel fashion to achieve unprecedented levels of scientific accuracy and realism Computing Requirements –15 Days of worth of time for development. –5 Days for rendering Final piece. –4 Days for rendering in HDTV resolution on 140 Processors Storage –72,000 Frames, 108 Gigabytes of storage –7.2 Gigs after motion blur –500 MB JPEG premiere at the SIGGRAPH 99 Electronic Theater –http://fiatlux.berkeley.edu/http://fiatlux.berkeley.edu/