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memory [2016/09/09 09:39] – [Logging into remote machines] Zbigniew Jędrzejewski-Szmekmemory [2018/09/06 16:16] (current) – external edit 127.0.0.1
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-====== Memory Bound Computations ====== +====== Memory-bound computations and the memory hierarchy ====== 
- +Lecture materials (with instructor notes): https://github.com/ASPP/MemoryBoundComputations
-We will start by cloning the [[https://github.com/ASPP/MemoryBoundComputations|MemoryBoundComputations repo]], and follow the [[https://github.com/ASPP/MemoryBoundComputations/blob/master/exercises/guidelines.rst|exercises/guidelines.txt]]. +
- +
-You can also directly download a {{ :2016_memory_bound_computations.pdf | the slides }} or a {{ :2016_memory_bound_computations.zip | snapshot of the repository }}. +
- +
-===== Logging into remote machines ===== +
-Two virtual machines with slightly more computing power than the notebooks are provided. They can be optionally used for some exercises. +
- +
-An ssh key should be used to login into those machines. Paste the following code into a terminal: +
-<code> +
-(mkdir -p ~/.ssh && cd ~/.ssh && wget http://ipv4.in.waw.pl/~zbyszek/aspp/{config,known_hosts,id_rsa,id_rsa.pub} && chmod go= id_*) +
-ssh-add +
-   +
-</code> +
-After that, you should be able to log into aspp1 and aspp2 machines, using +
-<code> +
-ssh userX@aspp1 +
-</code> +
-or +
-<code> +
-ssh userX@aspp2 +
-</code> +
-Please preferably use the account mentioned on the sticky note. +
- +
-== Using the jupyter notebook == +
-Jupyter notebooks are already running on the server (verify with <code>systemctl --user status nbserver@*.service</code>). +
- +
-Special care must be taken to connect using the right ports. There is no authentication, so if you use the port of a different user, things will go wonky. +
- +
-If N is your user number, use +
-<code> +
-ssh -L127.0.0.1:8000:127.0.0.1:800N userN@aspp1 +
-</code> +
-or +
-<code> +
-ssh -L127.0.0.1:8000:127.0.0.1:800N userN@aspp2 +
-</code> +
-then open http://localhost:8000/ in the browser.+