Speakers  of  the  third  Annual  Workshop  on  Accelerating  Scientific  Applications  Using  GPUs  

   Prof.  David  Keyes  David   Keyes   is   Professor   of   Applied   Mathematics   and  Computational   Science   at   the   King   Abdullah   University   of  Science   and   Technology   and   Director   of   the   Extreme  Computing  Research  Center,  having  served  as  the  Dean  of   the  Division   of   Computer,   Electrical,   and   Mathematical   Sciences  and   Engineering   at   KAUST   for   its   first   four   years.   Keyes  graduated   in   Aerospace   and   Mechanical   Sciences   from  Princeton   in   1978   and   earned   a   doctorate   in   Applied  Mathematics  from  Harvard  in  1984.  He  works  at  the  algorithmic  interface  between  parallel  computing  and  the  numerical  analysis  of  partial  differential  equations.  For  his   algorithmic   influence   in   scientific   simulation,   Keyes   has   been   recognized   as   a  Fellow   of   the   Society   for   Industrial   and   Applied   Mathematics   (SIAM)   and   of   the  American  Mathematical  Society  (AMS),  with  the  Sidney  Fernbach  Award  of  the  IEEE  Computer  Society,  and  with  ACM’s  Gordon  Bell  Prize.  Author  or  editor  of  more  than  a   dozen   U.S.   federal   agency   reports   and   member   of   several   U.S.   federal   advisory  committees   on   computational   science   and   engineering   and   high   performance  computing,  in  2011,  Keyes  received  the  SIAM  Prize  for  Distinguished  Service  to  the  Profession.      Dr.  Timothy  Lanfear  Timothy   Lanfear   manages   the   European   solution  architecture  and  engineering  team  in  NVIDIA’s  Professional  Solutions   Group.  He   has   twenty   years’   experience   in  HPC,  starting  as  a  computational  scientist  in  British  Aerospace’s  corporate   research   centre,   and   then   moving   to   technical  pre-­‐sales  roles  with  Hitachi,  ClearSpeed,  and  most  recently  NVIDIA.   He   has   a   degree   in   Electrical   Engineering   and   a  PhD   for   research   in   the   field   of   graph   theory,   both   from  Imperial  College  London.  He  is  a  Chartered  Engineer  and  Member  of  the  Institution  of  Engineering  and  Technology.      Dr.  Zouheir  Rezki    Zouheir   is   a   Senior   Research   Scientist   in   the   Computer,  Electrical   and   Mathematical   Sciences   and   Engineering  Division  at  KAUST.  Before  joining  KAUST  in  2009,  he  was  a  Postdoctoral   Research   Fellow   at   University   of   British  Columbia.   During   this   time,   he   received   the   prestigious  Postdoctoral  Research  Fellowship  Grant:  CA  30  K  from  The  “Fonds   Québecois   de   la   recherché   sur   la   nature   et   les  technologies”,   for   research   on   Cognitive   Radio   Networks.  

While  he  was  finishing  his  PhD  in  2008,  he  worked  as  a  Research  Professional  with  Laboratory   for   Communication   and   Micro-­‐Electronic   Integration   (LACIME),   in  Montreal.   His   current   research   covers   a   wide   range   of   topics   in   wireless  communications   and   networking   including   security   of   data   networks,   energy-­‐efficient   communications,   networking   Infrastructures,   performance   limits   of  communications  at   low  power   regime  and   low  complexity  detection  algorithms   in  cellular  networks.  In  2013,  he  has  been  elevated  to  the  rank  of  Senior  Member  of  IEEE.  In  2014,  he  has  been   appointed   Editor   of   IEEE   Wireless   Communications   Letters.   In   1994,   He  obtained  the  State  Engineering  Degree  from  École  Nationale  de  l’Industrie  Minérale  (ENIM),  Rabat,  Morocco.  In  2003,  he  received  his  Master  degree  (M.  Eng.)  with  The  Highest  Distinction  from  École  de  Technologie  Supérieure  in  Montreal.   In  2008,  he  received  his  PhD  from  Polytechnique  Montreal  where  his  thesis  was  nominated  for  “Best   Thesis   of   the   Year”.   For   more   details,   please   visit  https://sites.google.com/site/zouheirrezki/home    Dr.  Hatem  Ltaief    Hatem   is   a   Senior   Research   Scientist   in   the   Extreme  Computing   Research   Center   at   KAUST,   where   is   also  advising   several   KAUST   students   in   their   MS   and   PhD  research.  He  received  the  engineering  degree  from  Polytech  Lyon  at  the  University  of  Claude  Bernard  Lyon  I,  France,  the  MSc   in   applied  mathematics   at   the  University   of  Houston,  and   the   PhD   degree   in   computer   science   from   the  University   of   Houston.   From   2008   to   2010,   he   was   a  Research   Scientist   in   the   Innovative   Computing   Laboratory   in   the   Department   of  Electrical   Engineering   and   Computer   Science   at   the   University   of   Tennessee,  Knoxville.  He  is  part  of  the  European  Exascale  Software  Initiative  (EESI)  to  build  a  European  vision   and   roadmap   to   address   the   challenges   of   the  new  generation  of  massively   parallel   systems.   He   has   various   strategic   partnerships   with   industries  (Saudi   Aramco,   TOTAL,   Intel,   NVIDIA)   as   well   as   Universities   and   HPC   Centers  (University   of   Tennessee,   INRIA   Bordeaux,   L’Observatoire   de   Paris,   Barcelona  Supercomputing  Center).    He   is  one  of   the  main  developers  of   the  PLASMA  and  MAGMA  numerical   libraries,  which   target   Intel   Xeon   Phi   architecture.   He   is   the   (co)author   of   more   than   40  journal   /   conference   papers   and   book   chapters.   His   research   interests   include  parallel   numerical   algorithms,   fault   tolerant   algorithms,   parallel   programming  models,  and  performance  optimizations  for  manycore  architectures.                

Ali  Charara  Ali   is   a   PhD   candidate   in   Computer   Science   at   KAUST,   and   a  member   of   the   KAUST’s   Extreme   Computing   Research   Center,  ACM   and   SIAM.   He   is   interested   in   optimizing   dense   linear  algebra   for   hybrid   distributed  memory   systems   equipped  with  GPUs.   He   also   worked   in   the   field   of   computer   graphics   and  scientific   visualization   for   several   years.   He   received   his   MS  degree  in  computer  science  from  KAUST  in  2011  and  his  BS  from  American  University  of  Beirut  in  1999.  Prior  to  joining  KAUST  he  worked   as   R&D   manager,   research   engineer,   and   technical  consultant   at   several   companies   in   Lebanon   for   ten   years.   He  also   served   as   a   Lecturer   on   advanced   programming   courses   for   two   years.   He  expects  to  graduate  in  2016.    Wajih  Boukaram  Wajih  is  a  fourth  year  student  at  KAUST,  a  PhD  candidate  in  Computer   Science,   and   a   member   of   KAUST's   Extreme  Computing  Research  Center,  ACM,  and  SIAM.  He  has  worked  on   finite   element   codes,   sparse   direct   solvers   on   multiple  GPUs   and   scalable   arithmetic   for   hierarchical   matrices.   He  has  done  a  research  internship  at  NVIDIA  and  volunteered  at  the   Supercomputing   Conference.   Wajih   hails   from   Lebanon  where   he   earned   his   Maîtrise   in   Computer   Science   at   the  Lebanese   University   of   Fanar   in   2007   and   his  M.S.   in   Computer   Science   from   the  American  University  of  Beirut  in  2010.  He  expects  to  graduate  in  December  2016.    Brent  Leback  Brent  Leback  is  the  Service  and  Support  Manager  for  PGI.    He  has  worked   in   various   positions   over   the   last   31   years   in   HPC  customer   support,   math   library   development,   applications  engineering  and  consulting  at  QTC,  Axian,  PGI,  STMicroelectronics,  and   NVIDIA.     He   can   be   reached   by   e-­‐mail   at brent.leback@pgroup.com.      Niall  O'Byrnes  Niall   is  a  member  of  the  Research  Applications  team.  He  most  recently  worked  with   Intel  where  he  was  researching  various  ways   of   reconfiguring   heterogeneous   data   centers   running  virtual  machines   according   to  workload   compute   and   affinity  requirements.     In   2012,   Niall   completed   his   masters   in   High  Performance   Computing   where   he   combined   his   interest   in  aerodynamics,  sailing  and  computing  to  write  a  CUDA  solver  to  study  the  turbulent  aerodynamics  from  downwind  sails.        Niall   has   a   background   in   Aerospace   and   Banking,   working  

with   data   programming   and   data   portal   development   in   both   industries.     Niall  worked  for  a  few  start-­‐ups,  with  one  scaling  from  20  to  120  employees  in  12  months  that   developed   software   to   deploy   Linux   on   clustered   hardware   for   a   major   US  telecom   to   run   their  4G  network,   and   is  now  a   competitor   to   “Mirantis."  Niall   is   a  keen   sailor   and  mountain   climber.     He   has   completed   5   of   the   “Seven   Summits,"  climbing  the  highest  mountain  on  5  of  the  7  continents.    He  shifted  his  interest  from  cruising  around  the  Adriatic  to  racing  in  2009  when  he  started  crewing  on  "Joker2”  a  J109  as  bowman.    They  won  the  national  championship  twice  and  come  second  in  the  last  4  years.    In  2012  they  beat  second  place  by  2  seconds  over  a  2  hour  race.    Anas  Almousa    Anas  had  his  BSc  and  MSc  degrees  in  Computer  Engineering  from  Jordan  University  of  science  and  technology  -­‐Jordan.  Currently  he  is  pursuing  his  PhD  degree   in  King  Fahd  University  of  Petroleum  and   Minerals.   He   is   exploring   optimizations   for   automatic  parallelizing   frameworks.   His   current   interest   is   in   parallel  computing   and   GPU   optimizations.   His   fields   of   interests   include  cryptographic   schemes,   network   security   and   Graph   theory  algorithms.    Dr.  Zhiyong  Zhu    Zhiyong   received   his   PhD   degree   in   physics   from   institute   of  physics,  Chinese  academy  of  sciences,  in  2009.  After  that  he  has  been   working   as   postdoctoral   fellows   in   the   field   of  computational  condensed  matter  physics   in  KAUST  and  EPFL.  Since  2014,  he  has  been  working  in  KAUST  supercomputing  lab  as  a  computational  scientist.      Dr.  Saber  Feki  Saber   Feki   is   a   computational   scientist   at   the   KAUST  Supercomputing   Laboratory   where   he   collaborates   with  various  researchers  in  computational  sciences  and  engineering  including   seismic   imaging,   computational   fluid   dynamics   and  electromagnetics.   He   also   participates   in   giving   training  sessions   and   teaching   various   courses   such   as   MPI   and  OpenACC.   Saber   received   his   PhD   in   computer   science   at   the  University   of   Houston   in   2010.   His   research   focused   on  automatic   performance   tuning   using   machine   learning   techniques.   In   2011,   he  joined   the   oil   and   gas   company   TOTAL   as   an   HPC   Research   Scientist  working   on  seismic   imaging   application   using   different   programming   models   including   CAF,  OpenACC   and   HMPP.   His   latest   research   interests   include   auto-­‐tuning   OpenACC  applications,  burst  buffer  technology  and  big  data  analytics.