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Showing below up to 100 results in range #1 to #100.

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  1. Task-based parallelism in scientific computing (HPC2N/PRACE, May 2021)‏‎ (6 categories)
  2. Task-based parallelism in scientific computing (March 2020)‏‎ (6 categories)
  3. Heterogeneous computing with performance modelling, Umeå, 2020-11-(4-5)‏‎ (6 categories)
  4. Course: Python for Scientific Computing‏‎ (5 categories)
  5. The Effective Use of the Kebnekaise Accelerators (HPC2N, December 2017)‏‎ (5 categories)
  6. Introduction to Deep Learning, Umeå (22-23 November 2018)‏‎ (5 categories)
  7. MD/CHARMM course at HPC2N (4 May 2017)‏‎ (4 categories)
  8. Running MD applications efficiently in HPC, HPC2N, 26-27 April 2021‏‎ (4 categories)
  9. Tensorflow and Deep Learning, HPC2N, 8-9 May 2019‏‎ (4 categories)
  10. QM/MM best practices, HPC2N, 2021-12-9‏‎ (4 categories)
  11. Computational Chemistry - Enhanced Sampling MD Course at HPC2N (Ume, February 2018)‏‎ (4 categories)
  12. MD Course at HPC2N, Umeå, June 2016‏‎ (4 categories)
  13. Machine Learning with R, HPC2N, 3 December 2019‏‎ (4 categories)
  14. Computational Chemistry Course - MD Simulations, HPC2N, 20 November 2017‏‎ (4 categories)
  15. Awk workshop training material‏‎ (4 categories)
  16. MD simulations with a focus on NAMD (HPC2N, UmU), 2022-04-(07-08)‏‎ (4 categories)
  17. R‏‎ (4 categories)
  18. Introducton to OpenMP/MPI, HPC2N, 26 March 2018‏‎ (4 categories)
  19. Scalasca‏‎ (4 categories)
  20. Introduction to Git, Umeå (2020-09-30)‏‎ (4 categories)
  21. VMD‏‎ (4 categories)
  22. GROMACS‏‎ (4 categories)
  23. Schrödinger Molecular Modelling Workshop at HPC2N (29 March 2017)‏‎ (4 categories)
  24. UPPMAX Introductory Course, August 16-19, 2022‏‎ (4 categories)
  25. ENCCS/PDC VeloxChem Workshop: Quantum Chemistry Towards Pre-exascale and Beyond (March 2022)‏‎ (4 categories)
  26. ENCCS/PDC VeloxChem Workshop: Quantum Chemistry from Laptop to HPC (May 2021)‏‎ (4 categories)
  27. Vasp - Basic Theory and Best Practices, HPC2N, October 2019‏‎ (4 categories)
  28. TAU‏‎ (4 categories)
  29. Data Management Seminar Online‏‎ (4 categories)
  30. Pymol‏‎ (4 categories)
  31. Basic Singularity workshop material‏‎ (4 categories)
  32. Performance Analysis of ad OSS Program‏‎ (3 categories)
  33. Introduction to GPU programming: When and how to use GPU-acceleration?, HPC2N, 5 November 2019‏‎ (3 categories)
  34. CP2K‏‎ (3 categories)
  35. Octave‏‎ (3 categories)
  36. FFTW‏‎ (3 categories)
  37. Introduction to HPC2N (Umeå, January 2018)‏‎ (3 categories)
  38. Uppmax Intro Course (August 2016)‏‎ (3 categories)
  39. Version Control Workshop, HPC2N‏‎ (3 categories)
  40. NAMD‏‎ (3 categories)
  41. ACML‏‎ (3 categories)
  42. Introduction to Kebnekaise (HPC2N), 2022-01-19‏‎ (3 categories)
  43. Performance Benchmark of NEMO Oceanography Code‏‎ (3 categories)
  44. CPMD‏‎ (3 categories)
  45. Octopus‏‎ (3 categories)
  46. Uppmax Intro Course (August 2017)‏‎ (3 categories)
  47. P4VASP‏‎ (3 categories)
  48. Parallel I/O Implementation on the Multiple Sequence Alignment Software ClustalW-MPI‏‎ (3 categories)
  49. Elk‏‎ (3 categories)
  50. Introduction to Git, HPC2N, 2021-11-(9-12)‏‎ (3 categories)
  51. Cyana‏‎ (3 categories)
  52. Quantum Espresso‏‎ (3 categories)
  53. Uppmax Intro Course (August 2018)‏‎ (3 categories)
  54. WIEN2k‏‎ (3 categories)
  55. Parallel Programming Education‏‎ (3 categories)
  56. Software Carpentry Workshop in R, Umeå (October 2018)‏‎ (3 categories)
  57. Enabling Xnavis for Massively Parallel Simulations of Wind Farms‏‎ (3 categories)
  58. Fido‏‎ (3 categories)
  59. Uppmax Intro Course (August 2019)‏‎ (3 categories)
  60. SIESTA‏‎ (3 categories)
  61. GPAW‏‎ (3 categories)
  62. Mafft‏‎ (3 categories)
  63. Computer-Aided Drug Design‏‎ (3 categories)
  64. Ccp4‏‎ (3 categories)
  65. Uppmax Intro Course (January 2015)‏‎ (3 categories)
  66. Using Python in an HPC environment, May 2023, UPPMAX/HPC2N‏‎ (3 categories)
  67. Comsol‏‎ (3 categories)
  68. Introduction to HPC2N (January 2019)‏‎ (3 categories)
  69. Desmond‏‎ (3 categories)
  70. Uppmax Intro Course (January 2016)‏‎ (3 categories)
  71. Parallelization of a materials science code‏‎ (3 categories)
  72. Using Python in an HPC environment, September 2022, UPPMAX/HPC2N‏‎ (3 categories)
  73. Matlab‏‎ (3 categories)
  74. Essense Code Optimisation‏‎ (3 categories)
  75. HYPE Code Parallelisation‏‎ (3 categories)
  76. Introduction to HPC2N (January 2020)‏‎ (3 categories)
  77. MOLDEN‏‎ (3 categories)
  78. ClustalW‏‎ (3 categories)
  79. Dacapo‏‎ (3 categories)
  80. Patchwork‏‎ (3 categories)
  81. Gaussian Workshop, HPC2N, 14-15 May 2018‏‎ (3 categories)
  82. Using R in an HPC environment, HPC2N, 2021-02-(25-26)‏‎ (3 categories)
  83. CASTEP‏‎ (3 categories)
  84. Exciting-code‏‎ (3 categories)
  85. Introduction to HPC2N (September 2017)‏‎ (3 categories)
  86. Amber‏‎ (3 categories)
  87. Uppmax Intro Course (January 2018)‏‎ (3 categories)
  88. ESPResSo‏‎ (3 categories)
  89. Coot‏‎ (3 categories)
  90. Introduction to HPC2N (September 2018)‏‎ (3 categories)
  91. Dalton CPP-LR parallelization‏‎ (3 categories)
  92. GAMESS‏‎ (3 categories)
  93. Introduction to HPC and Kebnekaise, HPC2N, 2021-01-21‏‎ (3 categories)
  94. Uppmax Intro Course (January 2019)‏‎ (3 categories)
  95. Yambo‏‎ (3 categories)
  96. Course: Efficient MD simulations at HPC2N (February 2019)‏‎ (3 categories)
  97. Introduction to HPC2N (September 2019)‏‎ (3 categories)
  98. Uppmax Intro Course‏‎ (3 categories)
  99. OpenMX‏‎ (3 categories)
  100. ABINIT‏‎ (3 categories)

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