SAUCE SAUCE
  • Home
  • Events 
    • Listing
    • Future
    • Previous
    • Accelerated Computing with GPUs 2020
    • Data Mining - Winter 20/21
    • High Performance Computing 2019
    • Einführung in die Bioinformatik WS19/20
    • Computational Logic
    • Parallel Algorithms and Architectures 2019
    • DSEA Praktikum 2018/19
    • Deep Learning 2018
    • High Performance Computing 2018
    • Parallel Algorithms and Architectures 2018
    • Datenstrukturen und effiziente Algorithmen Ws 18/19
    • EiP SoSe 18
    • bio-st-18
    • EiP WS 2017/18
    • High Performance Computing 2017
    • Datenstrukturen und effiziente Algorithmen WiSe 17/18
    • PS SS 2017
    • Einfuehrung in die Programmierung SS17
    • Parallel Algorithms and Architectures 2017
    • High Performance Computing 2016
    • DSEA 2016/17
    • EiP WS2016/17
    • Parallel Algorithms and Architectures 2016
    • PS SS 2016
    • Krypto SS 2016
    • EiP SS 2016
    • DSEA Praktikum WS 2015/16
    • DSEA WS 2015/16
  • News
  • Documentation 
    • About
    • Changelog
    • Roadmap
    • Deutsche Dokumentation
    • Tips and Tricks
    • Test configuration
    • Language information
  • Contact
  •  Login
  • High Performance Computing 2017
  • Sheets 
    • Programming Exercises
    • Sheet 1 (AVX, Cache Lines, False Sharing)
    • Sheet 2 (AVX Shuffles, Instruction Parallelism)
    • Sheet 3 (Stochastic PI, Shallow Deep Learning)
    • Sheet 4 (Max-Pooling, Asynchronous 2D Jacobi Partitioning)
    • Sheet 5 (std::async, block-cyclic distribution)
    • Sheet 6 (Atomics, Knapsack)
    • Sheet 7 (Sorting, Riemann Zeta)
    • Sheet 8 (Data Dependencies, Task Parallelism)
    • Sheet 9 (Reverse-Engineering MPI, SUMMA)
    • Sheet 10 (Position Based Dynamics)
    • Sheet 11: Lockfree Hashmaps

High Performance Computing 2017 Event

Contact:
 Jünger, Daniel  Hundt, Christian  Schmidt, Prof. Bertil  Niebler, Stefan

Sheets

Previous sheets

Programming Exercises

Sheet 1 (AVX, Cache Lines, False Sharing)

Sheet 2 (AVX Shuffles, Instruction Parallelism)

Sheet 3 (Stochastic PI, Shallow Deep Learning)

Sheet 4 (Max-Pooling, Asynchronous 2D Jacobi Partitioning)

Sheet 5 (std::async, block-cyclic distribution)

Sheet 6 (Atomics, Knapsack)

Sheet 7 (Sorting, Riemann Zeta)

Sheet 8 (Data Dependencies, Task Parallelism)

Sheet 9 (Reverse-Engineering MPI, SUMMA)

Sheet 10 (Position Based Dynamics)

Sheet 11: Lockfree Hashmaps

News

No news for High Performance Computing 2017.

© 2012 - 2022 Moritz Schlarb
SAUCE is free software

AGPL-3.0

Version: 1.8.1.dev0

Python
SQLAlchemy
TurboGears 2