Seminars archive
Upcoming Seminars   Seminar: Algebra Title to be announced Renee Bell, University of Pennsylvania   Seminar: Combinatorics On the ErdosGyarfas distinct distances problem with local constraints Cosmin Pohoata, The California Institute of Technology   Seminar: Algebra Title to be announced Eva Bayer Fluckinger, EPFL   Seminar: Algebra Joint AthensAtlanta Number Theory Seminar Larry Rolen and Bianca Viray, Vanderbilt and University of Washington   Seminar: Algebra Title to be announced Anne Qu\'eguinerMathieu, Paris   Seminar: Algebra Title to be announced Natalie Paquette, Caltech  Past Seminars   Seminar: Numerical Analysis and Scientific Computing Estimating bilinear forms via extrapolation Marilena Mitrouli, National and Kapodistrian University of Athens   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 
