Ph.D. School in

Scientific GPU Computing

Copenhagen, 26 to 28 May 2010

Preliminary program for the course is as follows:

Location (unless noted otherwise): DTU Building 308, Auditorium 11.

Wednesday, 26 May

  8.00 Registration, coffee, rolls
  9.00 Introduction, CUDA Architecture, CUDA programming model
  10.40 Coffee break
  11.10 CUDA C programming language, Debugging and profiling tools
  12.00 Lunch break
  13.00 Memory Access
  15.00 Coffee break
  15.30 Lab exercises (DTU Building 305, Room 017 and 049)
  17.00 Refreshments
  17.30 Dinner (Glassalen, DTU Building 101)
  19.00 Control Flow

Thursday, 27 May

  8.00 Coffee, rolls
  9.00 Synchronization & Sorting
  10.40 Coffee break
  11.10 Data Structures & Searching
  12.10 Lunch break
  13.10 Lab exercises (DTU Building 305, Room 017 and 049)
  15.00 Coffee break
  15.30 N-Body Simulation
  17.00 Refreshments
  17.30 Dinner (Glassalen, DTU Building 101)
  19.00 Partial differential equations (PDEs)

Friday, 28 May

  8.00 Coffee, rolls
  9.00 Computational Graphics (Samuli Laine, Graphical Vision Day keynote)
  10.00 Coffee break
  10.30 Numerics
  12.00 Lunch break
  13.00 Lab exercises (DTU Building 305, Room 017 and 049)
  14.15 Coffee break
  14.45 Large-Scale Computing on GPU-Clusters (Graphical Vision Day)
  15.45 Coffee break
  16.00 GPU Computing - Applications (Graphical Vision Day)
  17.00 Awards, closing ceremony, refreshments (Beer sponsor: Dalux)

Ph.D. School in Scientific GPU Computing, Richard Petersens Plads, DTU - Building 321, DK-2800 Lyngby
dcamm@mat.dtu.dk