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• Student Activity (1)
• Conferences, Lectures, & Seminars (13)
• Workshops & Infosessions (3)

Events for March 05, 2013

• Mar

  05

  Hierarchical processing and the neurobiology of language

  Tue, Mar 05, 2013 @ 02:00 PM - 03:30 PM

  Thomas Lord Department of Computer Science

  Conferences, Lectures, & Seminars

  
  

  Speaker: Ina Bornkessel-Schlesewsky and Matthias Schlesewsky, Department of Germanic Linguistics, University of Marburg, and Department of English and Linguistics, Johannes Gutenberg-University Mainz
  
  Talk Title: Hierarchical processing and the neurobiology of language
  
  Abstract: Hierarchical processing has been posited as a basic property of neurobiological organisation both in the visual (e.g. Felleman & Van Essen, 1991) and auditory (Rauschecker, 1998) systems. It is also an important characteristic of a recent neurobiological model of speech processing (Rauschecker & Scott, 2009), which builds upon insights from the auditory system of non-human primates. By contrast, long-standing neurocognitive assumptions about the organisation of language in the brain (e.g. the notion that Broca's region in left frontal cortex is crucial for grammatical processing) are often incompatible with the tenet of hierarchical processing. Here, we outline a new neurobiological approach to language processing which applies the principle of hierarchical organisation to sentence and discourse comprehension (Bornkessel- Schlesewsky & Schlesewsky, in press). We show how the architectural consequences of this basic design principle help to reconcile a number of theoretical and empirical puzzles within the existing literature on the neuroscience of language. Furthermore, they lead to novel and sometimes surprising hypotheses (e.g. regarding the neural bases for structuring sentences in time).
  
  Biography: Ina Bornkessel-Schlesewsky
  Department of Germanic Linguistics, University of Marburg
  and Matthias Schlesewsky
  Department of English and Linguistics, Johannes Gutenberg-University Mainz
  
  Host: Michael Arbib
  
  

  Location: Ray R. Irani Hall (RRI) - 101

  Audiences: Everyone Is Invited

  Contact: Assistant to CS chair

  

• Mar

  05

  Big Data Analytics with Parallel Jobs

  Tue, Mar 05, 2013 @ 03:30 PM - 05:00 PM

  Thomas Lord Department of Computer Science

  Conferences, Lectures, & Seminars

  
  

  Speaker: Ganesh Ananthanarayanan, UC Berkeley
  
  Talk Title: CS Colloquium: Ganesh Ananthanarayanan (UC Berkeley)
  
  Series: CS Colloquium
  
  Abstract: Extensive data analysis has become the enabler for diagnostics and decision making in many modern systems. These analyses have both competitive as well as social benefits. To cope with the deluge in data that is growing faster than Moore’s law, computation frameworks have resorted to massive parallelization of analytics jobs into many fine-grained tasks. These frameworks promised to provide efficient and fault-tolerant execution of these tasks. However, meeting this promise in clusters spanning hundreds of thousands of machines is challenging and a key departure from earlier work on parallel computing.
  A simple but key aspect of parallel jobs is the all-or-nothing property: unless all tasks of a job are provided equal improvement, there is no speedup in the completion of the job. This talk will demonstrate how the all-or-nothing property impacts replacement algorithms in distributed caches for parallel jobs. Our coordinated caching system, PACMan, makes global caching decisions and employs a provably optimal cache replacement algorithm. A highlight of our evaluation using workloads from Facebook and Bing datacenters is that PACMan’s replacement algorithm outperforms even Belady’s MIN (that uses an oracle) in speeding up jobs. Along the way, I will also describe how we broke the myth of disk-locality’s importance in datacenter computing and solutions to mitigate straggler tasks.
  
  Biography: Ganesh Ananthanarayanan is a PhD candidate in the University of California at Berkeley, working with Prof. Ion Stoica in the AMP Lab. His research interests are in systems and networking, with a focus on cloud computing and large scale data analytics systems. Prior to joining Berkeley, he worked for two years at Microsoft Research’s Bangalore office. More details about Ganesh’s work can be found here: http://www.cs.berkeley.edu/~ganesha/.
  
  Host: Ramesh Govindan
  
  

  Location: Seaver Science Library (SSL) - 150

  Audiences: Everyone Is Invited

  Contact: Assistant to CS chair