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DB system design for new hardware and sciences

DB system design for new hardware and sciences. Anastasia Ailamaki École Polytechnique Fédérale de Lausanne and Carnegie Mellon University. introspective. sharing. Uni-processor. Multi-core. Multi-processor. Cluster. Exploit max parallelism and sharing simultaneously. parallelism.

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DB system design for new hardware and sciences

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  1. DB system design for new hardware and sciences Anastasia Ailamaki École Polytechnique Fédérale de Lausanne and Carnegie Mellon University

  2. introspective

  3. sharing Uni-processor Multi-core Multi-processor Cluster Exploit max parallelism and sharing simultaneously parallelism

  4. Moore’s Law = cores Performance burden shifts to software CRS-1 (Tensilica) UltraSparc T2 Power4 80486

  5. Multi-core challenges for DBMS • CMP-aware parallelism in OLTP • Efficient synchronization • Highly concurrent algorithms • CMP-aware sharing in BI • Eliminate redundancy with work sharing • Improve locality in query operators • … • But programmers are not multithreaded

  6. sciences

  7. Challenges: Complexity AND size Brain Mind Institute, EPFL • Automate DB Design • Computational Support • Understanding Data Alliez et al, INRIA, SIGGRAPH’05

  8. Summary • Challenge #1: exploit hardware • Parallelism, sharing maximized simultaneously • Infrastructure to parallel thinking&programming • Challenge #2: serve sciences • Reduce complexity through abstraction • Manage large datasets on large computers

  9. “Multicore: This is the one which will have the biggest impact on us. We have never had a problem to solve like this. A breakthrough is needed in how applications are done on multicore devices.” – Bill Gates “It’s time we rethought some of the basics of computing. It’s scary and lots of fun at the same time.” – Burton Smith

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