Seminars archive
Upcoming Seminars   Seminar: Numerical Analysis and Scientific Computing Estimating bilinear forms via extrapolation Marilena Mitrouli, National and Kapodistrian University of Athens   Seminar: Algebra Title to be announced Nathan Kaplan, UC Irvine   Defense: Dissertation Connections between Classical and Umbral Moonshine Sarah TrebatLeder, Emory University   Defense: Dissertation Maass forms and modular forms: applications to class numbers and partitions Olivia Beckwith, Emory University   Defense: Dissertation Patching and localglobal principles for gerbes with an application to homogeneous spaces Bastian Haase, Emory University   Master's Defense Deligne's Exceptional Series and Modular Linear Differential Equations Robert Dicks, Emory University   Defense: Dissertation Eulerian series, zeta functions and the arithmetic of partitions Robert Schneider, Emory University   Seminar: Algebra Title to be announced Jennifer Berg, Rice   Colloquium: Computational Mathematics Beating flops, communication and synchronization in sparse factorizations Sherry Li, Lawrence Berkeley National Lab   Seminar: Combinatorics Sleeping Beauty and Other Probability Conundrums Peter Winkler, Dartmouth  Past Seminars   Defense: Dissertation On Spanning Trees with few Branch Vertices Warren Shull, Emory University   Seminar: Numerical Analysis and Scientific Computing Numerical and Streaming Analyses of Centrality Measures on Graphs Eisha Nathan, Georgia Institute of Technology   Defense: Dissertation On Cycles, Chorded Cycles, and Degree Conditions Ariel Keller, Emory University   Colloquium: Algebra Counting points, counting fields, and heights on stacks Jordan Ellenberg, University of WisconsinMadison   Seminar: Algebra Joint AthensAtlanta Number Theory Seminar David Harbater and Jacob Tsimerman,   Seminar: Computer Science Reading Between the Lines of Datacenter Logs Dr. Nosayba ElSayed, MIT Venue: Atwood Chemistry Building Room 240 Show abstract Designing datacenters that are reliable, energyefficient, and capable of delivering high performance and high utilization is a nontrivial problem facing scientists, businesses, and governments alike. In this talk, I will demonstrate how analyzing large datasets from
different organizations helped us uncover interesting (and often surprising) patterns in the behavior of systems and applications in these largescale platforms. I will show how realworld data helped us tackle critical questions such as how does temperature impact
server reliability in places like Google, or how well do users configure the computing jobs they submit to shared clusters (spoiler alert: not very well!). Finally, I will demonstrate how simple machine learning techniques can be leveraged to accurately predict job
failures in datacenters, while using data that is easily collected in current platforms.   Seminar: Algebra Brauer classes supporting an involution Uriya First, University of Haifa   Colloquium: Computational Mathematics Sparse Linear Algebra in the Exascale Era Erin Carson, Courant Institute of Mathematical Sciences   Colloquium: Computational Mathematics When the mesh is important: The role of anisotropic mesh adaptation in numerical modeling, from crack propagation to topology optimization Simona Perotto, Politecnico di Milano, Italy   Colloquium: Computational Mathematics Fast and stable algorithms for largescale computation Yuanzhe Xi, University of Minnesota 
