A Brief History of (CPU) Time -or- Ten Years of Multitude David P. Anderson Spaces Sciences Lab University of California, Berkeley 2 Sept 2010.

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Presentation transcript:

A Brief History of (CPU) Time -or- Ten Years of Multitude David P. Anderson Spaces Sciences Lab University of California, Berkeley 2 Sept 2010

About me ● Computer scientist at U.C. Berkeley ● Platform builder for ● volunteer computing ● distributed thinking (or whatever we want to call it) ● online teaching for citizen science

Computational science ● Simulation of physical reality ● proteins, ecosystem, Earth, galaxy, universe ● Analyzing data from new instruments ● LHC, LIGO, SKA, gene sequencers ● Shortage of computing power ● Need high throughput, not low latency

The Consumer Digital Infrastructure ● 1.5 billion PCs ● Graphics Processing Units: 100X CPU speed ● Terabyte-scale storage ● Network speed approaching 1 Gbps ● Ideal for scientific computing!

Consumer versus Institutional computing resources ● Capacity ● Institutional: ExaFLOPS supercomputer in 5 years? ● Consumer: ~1000 ExaFLOPS today ● Cost ● Institutional: ~$200M/year from funding agencies ● Consumer: ~$1 trillion/year from public, self- replenishing, self-maintaining, self-powering

Volunteer computing and BOINC volunteers projects CPDN WCG attachments

The Utopian ideal Better research gets more computing power An enlightened public decides what’s better Scientific research The public resources education/outreach

Volunteer computing status ● ~30 projects ● 300,000 volunteers ● 530,000 computers ● 3 PetaFLOPS

Volunteership ● Recruitment is a marketing exercise ● Volunteers can do more than compute ● There are bad apples

Motivation study (Oded Nov, NYU) Nov, Arazy & Anderson. citizen cybersciene motivational infrastructure

● Calibration tasks ● Replication

Bossa ● Middleware for distributed thinking ● Provides scheduling mechanisms (e.g., calibration jobs, replication) ● Open system WRT assessment, scheduling policies

Bossa Nova

Education and citizen science ● Importance ● Heterogeneity ● makes teaching difficult ● Dynamic student population ● makes experimentation easier ● Bolt: a system for experimental and adaptive education lesson A lesson B assessment

Conclusion More info: Contact me: