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SUMMARY:High-Performance Computing Applied to Computational Intelligence i
 n Systems Biology and Genome Analysis -  	Andrea Tangherloni\, University 
 of Milano-Bicocca
DTSTART:20180608T140000Z
DTEND:20180608T150000Z
UID:TALK106810@talks.cam.ac.uk
CONTACT:Pietro Lio
DESCRIPTION:Recent advances in biomedical research\, including Bioinformat
 ics\, Computational Biology\, and\nMedical imaging\, are generating a huge
  amount of data to be analyzed. Processing this ensemble of\ndata within a
  reasonable time is a difficult task that can be addressed relying on High
 -Performance\nComputing (HPC) infrastructures\, such as multi-core Central
  Processing Units (CPUs) and\nGraphics Processing Units (GPUs). On the con
 trary\, other fields of research (e.g.\, Systems Biology)\nrequire computa
 tional methods that deal with issues related to the lack of quantitative d
 ata\,\nespecially in the case of large-scale instances. Computational Inte
 lligence methods can be\neffectively applied to tackle the complexity of s
 ome well-know problems in these fields\, such as the\nParameter Estimation
  (PE) problem in Systems Biology and the Haplotype Assembly (HA)\nproblem 
 in Genome Analysis.\nIn this talk\, the challenges\, the peculiarities and
  the novel trends in HPC will be described and\nanalyzed. I will start int
 roducing the HPC architectures\, focusing especially on multi-core CPUs\na
 nd GPUs. Afterwards\, the PE and the HA problems will be briefly described
 . To conclude\, some\nrecent accelerated methods designed to deal with tho
 se problems will be presented and discussed.\n\n\nAndrea Tangherloni recei
 ved his Bachelor’s and Master’s Degrees in Computer Science from the\n
 University of Milano-Bicocca\, Italy\, in 2013 and 2015\, respectively. He
  is currently a Ph.D. Student\nin Computer Science\, under the supervision
  of Prof. D. Besozzi and Dr. P. Cazzaniga\, at the\nUniversity of Milano-B
 icocca\, Italy.\nHis main scientific research interests include High-Perfo
 rmance Computing\, Systems Biology\,\nComputational Biology\, Bioinformati
 cs\, Genome Analysis\, Computational Intelligence\, and\nBiomedical Image 
 Analysis
LOCATION:Department of Computer Science and technology\, sw01 
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