Difference between revisions of "User:Michael Schliephake (PDC)"

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|snic ae financing=25
 
|snic ae financing=25
 
<!--|image=x.png-->
 
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|financing=SNIC and KTH
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|financing=SNIC
 
|office=Room 423, Teknikringen 14; SE-100 44 Stockholm
 
|office=Room 423, Teknikringen 14; SE-100 44 Stockholm
 
|phone=+46 08 790 78 22 (office)
 
|phone=+46 08 790 78 22 (office)
|general activities=Application expert
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|other activities=User training in parallel computing; Teaching introductions to programming, parallel computing, scientific computing.
 
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* Can provide support for
 
* Can provide support for
 +
** Applications of scientific computing in computational chemistry, physics and astrophysics; particle methods.
 
** GPU programming
 
** GPU programming
** Performance tuning of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures
+
** Performance optimisation of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures
 
** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)
 
** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)
  

Revision as of 20:21, 9 May 2015

Person.png

Michael Schliephake (PDC)

Application expert in , 25% full time equivalent, financed by SNIC

Other activities
User training in parallel computing
Teaching introductions to programming, parallel computing, scientific computing.
Office
Room 423, Teknikringen 14
SE-100 44 Stockholm
Phone
+46 08 790 78 22 (office)

Quick facts

  • Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects


  • Can provide support for
    • Applications of scientific computing in computational chemistry, physics and astrophysics; particle methods.
    • GPU programming
    • Performance optimisation of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures
    • Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)