1. Preparing for the Poster Session Gagan Agrawal

2. Outline Background on the proposal Overall research focus Equipment requested Preparing for the Site Visit

3. Background A proposal submitted to the National Science Foundations (NSF) CISE Research Infrastructure program The program targets research equipment for multi- investigator teams doing experimental computer science - typically fund 4-5 US universities each year After initial review of proposals, a set of universities receive a site visit. Final selection based upon the site visit

4. History on the Proposal Proposal involving 14 faculty / senior researchers across CIS, BMI, and OSC (Principal Investigators: Panda, Agrawal, Sadayappan, Shen, Saltz) Proposal submitted in October 2002 (a 105 page document in all !) Total request to NSF: $1,350,000 (+ matching from state of Ohio and OSU) All funds for equipment and one full time support person to manage the equipment Rated as one of the top three proposals among 22 submissions this year 8 universities are getting site visit, 4-6 to be funded

5. Site Visit Schedule Scheduled for 10 th March, will involve two NSF program managers and 2 experts from other universities Agenda: Presentations about the department, our research, requested equipment Discussion about our education programs, diversity, etc. Meeting with Dean and Vice Provost for research Tour of facilities and demos A student poster session

6. Motivation / Goals for Poster Session Graduate education is a key mission of NSF – they want to fund where it will make a difference on graduate education Opportunity to show research beyond talks from PIs A further opportunity to demonstrate a vibrant group of experimental computer science researchers A further opportunity to stress our need for equipment

7. Why Should You Care New equipment should help your research Having an award like this will give more visibility to our group / department (will help you when you look for a job) A good opportunity to present your work Posters can be reused for open houses, etc. Your advisor will be unhappy if you don’t do a good job 

8. Rest of this talk A big research picture that was put in the proposal Required to show an overall vision / synergy among the investigators Some details of the equipment and configuration requested Things to bring-out in your poster Some kind of questions you should be prepared for

9. Overall Research Focus Science and high performance computing are becoming data- driven well recognized, for example in the cyberinfrastructure report Clusters are a cost-effective way for storing large datasets (i.e. serve as data repositories) compute-intensive processing of data. SMPs are also popular architectures for compute-intensive tasks Processing of data may not always be feasible or desirable where data is hosted data repositories may be shared resources may not be the best configuration for compute-intensive tasks

10. Grid and Cluster Computing Context Separating processing of data from the cluster hosting the data will be the norm in a wide-area (grid) environment However, it may also be done within an organization many users accessing the data different configuration may be better for compute-intensive tasks Support for hosting data at a cluster, and processing the data at another cluster or an SMP machine is critically required a challenging problem Our overall focus

11. Research Challenges Better intra-cluster communication and I/O support for data intensive and interactive applications, and for allowing shared access to data repositories Need scheduling and resource sharing policies for such an environment Need high-level programming support to use such an environment (middleware, compilers) Algorithms from data intensive application areas (data mining, viz.) need to be modified or tuned for such an environment Need to work with real applications and real datasets to drive the work Many existing individual projects in these directions, but a common infrastructure will help integrate and evaluate the work

12. The Equipment we are asking for Storage cluster - 24 nodes, 80 TB of storage, located at BMI Compute cluster – 32 nodes, various interconnects (myrinet, quadrics, infiniband) located at CIS SMP machine - approx. 16 CPU machine, located at CIS Visualization equipment (graphics cards, haptic devices) High-speed networking (1.0 Gb) between CIS and BMI, CIS and OSC, and BMI and OSC Storage and compute clusters will be upgraded during the 4 th year of the grant - inter-site networking up to 10 Gb

13. Overall Configuration

14. 16-Dual Pentium 1.0 GHz Compute Servers Visualization Server Video Wall 9-Dual Pentium 1.0 GHz + Terabytes of storage Data Server Ohio Supercomputer Center (Production Clusters + Storage Cluster) Gigabit Ethernet Myrinet GigaNet Configuration Within CIS Myrinet (Lanai 3) 16-Quad Pentium 700 MHz 16-Dual Pentium 300 MHz 8-Dual Pentium 2.4 GHz Myrinet (Lanai 9) InfiniBand (4) Quadrics (4) Myrinet (Lanai 7) Gigabit Ether (8) Myrinet (Lanai 9)

15. Rationale Need to experiment with applications on a distributed collection of compute, storage, and visualization resources We want to study architectures for storage clusters and compute clusters, and therefore, want crashable resources Need to work with data-intensive applications with very large datasets, need sufficient storage for those We want to evaluate system software in a distributed and heterogenous environment, but need a set up that will allow repeatable experiments Research will focus on networked clusters (and SMP machines) but is extendable to a more wide area environment through links to OSC, OSC machines, and links from OSC to elsewhere

16. Proposed Research Overall theme: an integrated approach – support at low-level, incorporated into appropriate programming systems, driven or enhanced by research at algorithms level, and tested by end applications Four components: Communication and I/O (Panda, Lauria, Wyckoff ) Middleware and Programming Systems (Saltz, Kurc, Catalyurek, Agrawal, Saday) Data Intensive algorithms (or application areas) – Srini, Hakan, Agrawal, Han-Wei, Raghu, Stredney (?) End applications: Saltz et al, Stredney, Raghu, Saday, Han- wei (?)

17. Area 1: Communication and I/O Need to enhance communication and I/O mechanisms Both at the intra-cluster and inter-cluster level Specific needs for data-intensive and interactive applications Components: Support for point-point and collective communication, and synchronization – incorporated at the MPI, DSM layers (Panda) Support for intra and inter cluster QoS (Panda) Support for efficient and parallel I/O at intra and inter- cluster level (Lauria)

18. Area 2: Middleware and Programming Systems Goal: High-level programming systems and policies are required to utilize multiple clusters and SMP machines Components: Datacutter (Saltz, Kurc, Catalyurek) Compiler support on top of Datacutter (Agrawal et al.) Scheduling task graphs (Saday et al.) Scheduling across multiple tasks (Saday) Multiple Query Optimization (Saltz et al.) Middleware for Datamining (Agrawal) Indexing and declustering for data repositories (Hakan)

19. Area 3: Data Intensive Algorithms Need to develop and/or fine-tune and/or evaluate algorithms and techniques in the areas of data mining scientific data analysis, and visualization in our proposed environment and on top of the programming systems developed Components: Parallel data mining algorithms, particularly shared memory (Srini, Agrawal) Scientific data analysis (Machiraju, Srini) Visualization and imaging etc. (Han-Wei, Raghu)

20. Area 4: End Data Intensive Applications We are working with end data-intensive, data-driven, interactive, and/or collaborative applications to evaluate our work at the communication and I/O, programming systems, and algorithm levels to obtain large datasets to demonstrate that our research can benefit end real applications Components: Time-varying scientific data visualization (Han-Wei) Oil reservoir simulation (Saltz) Medical applications (Saltz, Shen, Stredney, Machiraju) Scientific (chemistry) application (Saday) 3-d human scan analysis (Machiraju)

21. Things to bring out in your posters Interesting experimental computer science research Involving system software, Large datasets, Careful performance analysis on dedicated systems, or Involving a distributed environment Preferably some preliminary experimental results Show we can do quality experimental research Demonstrate need for more equipment, if appropriate (part of future work ?) Mention existing or potential collaborations, if appropriate

22. Some Questions to be Prepared for What equipment you have used so far ? Do you feel need for any additional equipment ? For systems posters: what benchmarks/applications you might be using in the future See if any of existing work in the areas of visualization, data mining, end applications may be appropriate For algorithm / application posters: what system support you could use for scaling your work, or going to distributed environments See if any of the work on QoS, DataCutter, FREERIDE, Scheduling may be relevant

23. Some Logistics A rehearsal session on 28 th Feb, 3:30 – 4:30, DL 480 Final site-visit on 10 th March, poster session 1:30 – 2:30 - set up from 11:30 onwards, plan to be available till 3:30 - room TBA Poster size – 30 inch width, 36 inch height – can have 9-12 slides Can use department poster printer (ask your advisor) – don’t use it for rehearsal Be professional during the site visit – no unnecessary talking among yourself, no use of Hindi / Chinese / … Dress code - ?