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Garden of Architectures CSG Workshop May 2008 Jim Pepin CTO Disruptive change • Doubling (Moore’s Law or …) – Transistors • Multi-core – Disk capacity – New mass storage (flash, etc) – Parallel apps – Storage mgmt – Optics based networking Disruptive Change • Federated identity – Large V/O – Shared research/clinical spaces • Team science/academics – Paradigm shift • CI as a tool for all scholarship Disruptive Change • Lack of diversity in computing architectures – X64 has ‘won’ • Maybe IBM/Power exists at edges • Maybe Sun/SPARC at edges – This creates mono-culture • Dangerous – Innovation here in consumer space • Game boxes/phones drive here Network Futures • Optical Bypasses – Very high speed • Low friction • Low jitter • Facilities based – GLIF examples – RONs – Exchanges Network Futures • “Security” is driving researchers away from us • Are we the problem? – Where does ‘security’ belong? • How do we do VOs with two port internet? • Will we see our networks become ‘campus phone switch’ of the 2010s • Data futures • • • • • • Massive storage (really really big) Object oriented (in some cases) Preservation Provenance Distributed Blur between data bases/file systems – Meta data New Operating Environments • Operating systems in network – Grids • ID management – But done poorly from integration view • How to build petascale single systems – Scaling applications is biggest problem • Training • “Cargo Cult” systems and applications New Operating Environments • 100s of TF at campus (but how to use it and build it on campus) – Tied into national petascale systems – All the problems on terragrid and VOs on steroids. • Network security friction points • Identity management • Non-homogenous operating environments Computation • Massively parallel – Many cores (doubling every 2-3 yrs) • Commodity parts – Massive collections of nodes with high speed interconnect • Heat and power density • Optical on chip technology – Legacy code scales performs poorly (or worse) Viz/remote access • SHDTV like quality (4k) – Enables true telemedicine and robotic surgery – Massive storage ties to this – Optiputer project is example (CALIT2) – Colab spaces with true haptic and visual presence. • Social sites are simple prototypes • Large screen applications and tele-presence Versus • Old Code – Much based on 360/VAX/Name it • Gaussian poster child – Vector optimized • Static IT models – Network defenders in IT hurt researchers – Researchers don’t play with others well – Condo model evolving Versus • Thinking this is just for science/engineer – Large data – Interactive applications • Social Science apps – Education outcomes at Clemson • Large data, statistics on huge scale – Shoah Foundation at USC • Massive data, networks, VO Vision/Sales Pitch • Access to various kinds of resources – Parallel high performance • Can be in condo (depends on politics) – Flexible node configurations – Large storage of various flavors – Viz – Leading edge networks “Clusters” • Large collection of multi-core – High performance interconnect • What makes cluster not just a bunch of nodes – Access to large data storage at parallel speeds • Lustre • SAM/QFS • PVFS – Ability to put in large memory nodes “Clusters” – Magic chips • GPUs, FPGAs etc • Botique today but gains can be enormous – Relation to desktops/local systems – How to integrate into national systems • Identity/security/networking – Viz clusters • Render agents • Large scale, friction free networking Storage Farms • Diverse data models – Large streams (easy to do) – Large number of small files (hard to do) – Integrate mandates (security, preservation) – Blur between institution data and personal/research – Storage spans external, campus, departmental,local – Speed of light matters Meaning of Life • Much closer relations needed to central IT – Networks/identity mgmt/security/policy – But not just ‘at scale’ • How to use the disruptive technologies – Core,GPUs,Cell,FPGA,Flash,optical networks – Disruptive software/services as well Meaning of Life • Build ecosystem of services – Some central, some local, some external – Not just computing, networks and storage – Our community has “gone global” • • • • The campus is not a castle. Earlier example of 8 social science faculty We have thousands of communities Can’t be one size fits all