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IHPCL Research Review

IHPCL Research Review. Karsten Schwan Matt Wolf Neil Bright and many additional Sciences/Eng/CS/ECE collaborators College of Computing Georgia Institute of Technology schwan@cc.gatech.edu, http://www.cc.gatech.edu/fac/karsten_schwan. Today’s Participants.

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IHPCL Research Review

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  1. IHPCL Research Review Karsten Schwan Matt Wolf Neil Bright and many additional Sciences/Eng/CS/ECE collaborators College of Computing Georgia Institute of Technology schwan@cc.gatech.edu, http://www.cc.gatech.edu/fac/karsten_schwan

  2. Today’s Participants Computing: Ken Mackenzie, Santosh Pande, Kishore Ramachandran, Andre Dos Santos, Ling Liu Applications: several, with one demo courtesy of Satish Menon’s group

  3. Cluster Hardware

  4. IHPCL and Systems Research • Cluster and Machine Benchmarking • HPC and interactive applications (Neil Bright, Matt Wolf, others) • DEOS Project - intra-clusters and `periphery’ • with Yamacraw effort (Karsten Schwan) • Dynamic kernel extension (Linux) - `pushing code’ into kernels • Adaptable wireless communications (Java- and C-based) • ASAN Project (Active System Area Networks) • with ECE and Critical Systems Lab (Ken Mackenzie) • `Pushing’ code into the network • Working with NICs and programmable routers • Flow Computing • Stampede: models for cluster/stream programming (Kishore Ramachandran), Phil Hutto • Additional demos courtesy of Suresh Menon, Matt Wolf • Security Research • smart cards and ... (Andre Dos Santos)

  5. DEOS: Quality-controlled Information Flows in Heterogeneous Systems – Homes, Communities, Field Systems Karsten Schwan Yuan Chen (yuanchen@cc.gatech.edu) Lynn Daley (lkdaley@cc.gatech.edu) Jasmina Jancic (jasmina@cc.gatech.edu) Christian Poellabauer (chris@cc.gatech.edu) David Robinson (robinson@cc.gatech.edu) Dong Zhou (zhou@cc.gatech.edu) University of Georgia Dr.David Lowenthal (dkl@cs.uga.edu) Dr. Surendar Chandra (surendar@cs.uga.edu) Southern Polytechnic State University Dr. Juan Carlos Guzmán (jguzman@spsu.edu)

  6. EXAMPLE: Video Streams Decoder PalmTop bitmaps iPAQ or Laptop Decoder MPEG Decoder frames Content Provider Stream Managment High End Display Possible MPEG decoder locations and resulting communications for a video delivery system

  7. Research Problems/Solutions • Multiple information providers, transformers, consumers (e.g., consider large wireless systems) • Continuous Service Delivery despite changes in resources (e.g., consider wireless) • Client-specific service delivery (e.g., PDAs vs. laptops, Java vs. C, Linux vs. PalmOS) • Dynamic client behavior (e.g., runtime interest changes) • Real-time performance • Support publish/subscribe paradigm with flexible service location: ECho, JECho, dyn. filters • Offer continuously `useful’ services through client-specific dynamic service adaptation • Differentiate among clients at connection establishment; offer multi- and cross-platform support (e.g., XML) • Continuously update client `profiles’ (i.e., ‘dynamic portals’) • Runtime configuration of open source system: e.g., use ECalls and K-ECho to monitor available resources and current needs.

  8. Ongoing Research • Middleware: • ECho, JECho: online channel control (e.g., client-based control, inline filtering) and monitoring • Proactive Directory Services • ELinux: • Runtime OS extension for open platforms • ECalls and K-ECho • QoS-aware packet and task scheduling using DWCS • QSockets • Application-specific channel bonding • Extensible cluster-wide /proc • ASAN Project - next

  9. Basic Approach: Composed Flows on Extensible Platforms C1 C2 C3 C4 D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D Programming Abstractions (Middleware) (Language Technologies) C1 Application C4 Operating System C2 Co-processor C3 Network

  10. Composition and Platform Extension Host Application Component Application Component Host Middleware/OS OS OS Extension Modules Active NI Active NI Active Network

  11. Center for Experimental Research in Computer Systems (CERCS) • Major advances in computing systems in the next decade and beyond will arise from integration of technologies to solve new problems and generate new capabilities. • The role of the center is to promote such synergy via capabilities for experimentation. • The center provides the infrastructure to support experimental efforts in the design of the future generations of computing systems and software.

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