BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN CALSCALE:GREGORIAN X-WR-CALNAME:Calagator METHOD:PUBLISH VERSION:2.0 BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20090308T020000 RDATE:20090308T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20091022T234448Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20091023T140000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20091023T130000 DTSTAMP;VALUE=DATE-TIME:20091022T234448Z LAST-MODIFIED;VALUE=DATE-TIME:20091022T234448Z UID:http://calagator.org/events/1250457896 DESCRIPTION:CS conference room\, FAB 086-01 \;\n \;\nAbstract: \ ;\nAlthough it is not necessarily the view taken by those who design the m\, modern computers are deterministic nonlinear dynamical systems\, and it is both interesting and useful to treat them as such. In this talk\, I will describe a nonlinear dynamics-based framework for modeling and a nalyzing computer systems. Using this framework\, together with a custo m measurement infrastructure\, we have found strong indications of low-d imensional dynamics in the performance of a simple program running on a popular Intel microprocessor—including the first experimental evidence o f chaotic dynamics in real computer hardware. These dynamics change comp letely when we run the same program on a different Intel microprocessor\ , or when we change that program slightly. All of this raises important issues about computer analysis and design. These engineered systems ha ve grown so complex as to defy the analysis tools that are typically use d by their designers: tools that assume linearity and stochasticity\, an d essentially ignore dynamics. The ideas and methods developed by the n onlinear dynamics community are a much better way to study\, understand\ , and (ultimately) design modern computer systems. \;\n \;\nThis i s joint work with Amer Diwan and Todd Mytkowicz. \;\n \;\n \;\n Computer Science Department \;\nUniversity of Colorado at Boulder \;\nBiography: \;\nElizabeth Bradley did her undergraduate and gradua te work at MIT\, interrupted by a one-year leave of absence to row in th e 1988 Olympic Games\, and has been with the Department of Computer Scie nce at the University of Colorado at Boulder since January of 1993. Her research interests include nonlinear dynamics\, artificial intelligence \, and control theory. She is the recipient of a NSF National Young Inv estigator award\, a Packard Fellowship\, a Radcliffe Fellowship\, and th e 1999 student-voted University of Colorado College of Engineering teach ing award. \;\n \;\nHost: \;\nMelanie Mitchell\n\nTags: psu\, c omputer science\, colloquium\n\nImported from: http://calagator.org/even ts/1250457896 URL:http://web.cecs.pdx.edu/~colloq/2009-10/Bradley.html SUMMARY:PSU CS Colloquium: Chaos in Computer Science LOCATION:Portland State University Fourth Avenue Building (FAB): 1900 SW 4th Ave.\, Portland OR 97201 US SEQUENCE:1 END:VEVENT END:VCALENDAR