Building Intuition
Building Intuition
  • Видео 79
  • Просмотров 219 457
Slurm Job Scheduler Basics
Introduction to using slurm workload manager to submit jobs to high-performance computing (HPC) clusters.
00:00 Introduction
00:27 Commands
01:42 sbatch, srun, & salloc
02:32 Job param: number of CPUs
03:12 Job param: mem-per-cpu
04:10 Job param: time
06:00 sbatch submission example
07:43 srun
08:38 salloc
Просмотров: 23 864

Видео

Cluster Computing - Introduction
Просмотров 4,2 тыс.3 года назад
Cluster Computing - Introduction
h5py Chunk Caching
Просмотров 3793 года назад
h5py Chunk Caching
HDF5 Chunk Caching
Просмотров 4673 года назад
HDF5 Chunk Caching
HDF5 - Chunk Sizes
Просмотров 1,4 тыс.3 года назад
Correction in discussion: Chunk shape does not have to be an exact multiple of the dataset shape, and is rarely the case for real world datasets. Data at the "misaligned" ends will just go into chunks that can only ever be filled partially.
HDF5 - ScaleOffset Filter
Просмотров 3753 года назад
HDF5 - ScaleOffset Filter
HDF5 - h5py
Просмотров 10 тыс.3 года назад
HDF5 - h5py
HDF5 - gzip filter
Просмотров 3213 года назад
HDF5 - gzip filter
HDF5 - Filters
Просмотров 4263 года назад
HDF5 - Filters
HDF5 - Chunking
Просмотров 8243 года назад
HDF5 - Chunking
HDF5 - Datasets
Просмотров 7003 года назад
HDF5 - Datasets
HDF5 - Structure
Просмотров 7633 года назад
HDF5 - Structure
HDF5 - Introduction
Просмотров 1,3 тыс.3 года назад
HDF5 - Introduction
What is Data? - File Formats
Просмотров 4553 года назад
What is Data? - File Formats
What is Data? - Decoding Ambiguity
Просмотров 1053 года назад
What is Data? - Decoding Ambiguity
What is Data? - Floating Point Numbers
Просмотров 1293 года назад
What is Data? - Floating Point Numbers
What is Data? - Characters
Просмотров 1093 года назад
What is Data? - Characters
What is Data? - Integers
Просмотров 1303 года назад
What is Data? - Integers
What is Data? - Chunks of 1s and 0s
Просмотров 1363 года назад
What is Data? - Chunks of 1s and 0s
What is Data? - Introduction
Просмотров 2673 года назад
What is Data? - Introduction
Log Likelihood
Просмотров 6 тыс.5 лет назад
Log Likelihood
Naive Bayes Classifier
Просмотров 4465 лет назад
Naive Bayes Classifier
Conditional & Joint Probability - Bayes' Theorem
Просмотров 1,3 тыс.5 лет назад
Conditional & Joint Probability - Bayes' Theorem
Principal Components Analysis
Просмотров 6075 лет назад
Principal Components Analysis
Covariance & Covariance Matrix
Просмотров 9 тыс.5 лет назад
Covariance & Covariance Matrix
Discrete Fourier transform example - numpy.fft
Просмотров 17 тыс.6 лет назад
Discrete Fourier transform example - numpy.fft
Fourier transform visualized
Просмотров 5786 лет назад
Fourier transform visualized
Discrete Fourier transform
Просмотров 4076 лет назад
Discrete Fourier transform
Discrete time Fourier transform & Sampling theory
Просмотров 5426 лет назад
Discrete time Fourier transform & Sampling theory
Fourier transform
Просмотров 6356 лет назад
Fourier transform

Комментарии

  • @bourahmamasten4602
    @bourahmamasten4602 25 дней назад

    👍 nice

  • @yousefibrahim5469
    @yousefibrahim5469 Месяц назад

    Please your email or site ?

  • @hannahwilcox9126
    @hannahwilcox9126 Месяц назад

    perfectly explained thank you so much

  • @weirdorahma
    @weirdorahma Месяц назад

    incredible explanation

  • @BrentLeVasseur
    @BrentLeVasseur 2 месяца назад

    Actually there is such a thing as negative resistances, and it was proven in the lab back in the 1930s by a Gabriel Kron at GE and with Stamford University who made a network analyzer device for the US Navy that had negative resistance and was essentially self powered from the vacuum. It powered itself even when turned ‘off’ by creating a negative resistance that pulled energy from the vacuum. He was a famous physicist/electrical engineer at the time. And his invention was suppressed.

  • @rishabhsivarajan
    @rishabhsivarajan 3 месяца назад

    Best explanation I have seen so far! Awesome Mr Sal Khan vibes

  • @padippistkallan884
    @padippistkallan884 4 месяца назад

    Super , best explanation

  • @jacobvandijk6525
    @jacobvandijk6525 5 месяцев назад

    NEXT, TELL YOUR VIEWERS THAT MAXIMUM POWER IS NOT EQUAL TO MAXIMUM EFFICIENCY.

  • @seymagulnihalyildiz6488
    @seymagulnihalyildiz6488 7 месяцев назад

    thank you, that helped! <3

  • @Gquequeg98
    @Gquequeg98 8 месяцев назад

    Wimmy wam wam wozzle

  • @davids.9789
    @davids.9789 8 месяцев назад

    thanks

  • @rebeccaakunzirwe8894
    @rebeccaakunzirwe8894 9 месяцев назад

    Thank you so much!

  • @sonurony5171
    @sonurony5171 11 месяцев назад

    Thank you for this, it was very intuitive

  • @GeorgeWrightLiquidleashtheband
    @GeorgeWrightLiquidleashtheband 11 месяцев назад

    Absorbed by the tympanic membrane leaves intact

  • @GeorgeWrightLiquidleashtheband
    @GeorgeWrightLiquidleashtheband 11 месяцев назад

    You should look at the synapse and the "binary" function vs the sine wave information that is also occuring.

  • @brunabarreto1637
    @brunabarreto1637 11 месяцев назад

    Hello, do you have books recomendations?

  • @SamaelMael
    @SamaelMael Год назад

  • @giovannipetrone
    @giovannipetrone Год назад

    Hi, I am a beginner with h5py and today I tried to read a dataset of an MRI so I can Fourier transform It to create a k-space. The thing is, the dataset I have in the .h5 file Is "|V37" type and isnt even a Matrix. Do you know what type of format that Is? It Is giving me problems since the fft only works with complex numbers arrays. (BTW the file Is from Stanford)

  • @brunabarreto1637
    @brunabarreto1637 Год назад

    Very good, thank you!

  • @brunabarreto1637
    @brunabarreto1637 Год назад

    THANK YOU!

  • @brunabarreto1637
    @brunabarreto1637 Год назад

    THANK YOU!

  • @jaredjones6570
    @jaredjones6570 Год назад

    Thanks! This is very helpful!

  • @kikleine
    @kikleine Год назад

    But why are the capacitor and resistor in parallel?

    • @Lego_music13
      @Lego_music13 10 месяцев назад

      Hi! Because both capacitor (capacitance) and resistor (resistance) contribute to the overall behaviour of arterial system (aorta)

  • @danialkamal7296
    @danialkamal7296 Год назад

    just got the concept of diastolic pressure along with some physics nostalgia... thnx for helping

  • @gbolagadeolajide8595
    @gbolagadeolajide8595 Год назад

    great video

  • @dikshantrajwal9987
    @dikshantrajwal9987 Год назад

    Hi, can you help me figure out how can I define custom resources in slurm ( resource should have count, associated with multiple nodes)

  • @vinesh7732
    @vinesh7732 Год назад

    Unclear explainarion

  • @doit2404
    @doit2404 Год назад

    that was a really good explanation

  • @veerajvishnu3837
    @veerajvishnu3837 Год назад

    Seriously good!

  • @mihajlomadzarevic7455
    @mihajlomadzarevic7455 2 года назад

    Thank you so much, it made it much more intuitive :)

  • @Felix-wh8pz
    @Felix-wh8pz 2 года назад

    I'm shocked how good this explanation are! Amazing

  • @SamOfTheShadows
    @SamOfTheShadows 2 года назад

    Yeah but when do I get rondo party with Slurms Mackenzie

  • @silvanschnelli1538
    @silvanschnelli1538 2 года назад

    thank you for this amazing video

  • @Adhithya2003
    @Adhithya2003 2 года назад

    Splendid.

  • @Adhithya2003
    @Adhithya2003 2 года назад

    Brilliant 💖💖💖

  • @Adhithya2003
    @Adhithya2003 2 года назад

    What books do you recommend sir for understanding more concepts?

  • @Adhithya2003
    @Adhithya2003 2 года назад

    You are making the difference, I am sharing it with my friends. Simple language beautifully explained.

  • @Adhithya2003
    @Adhithya2003 2 года назад

    thank you very much.

  • @LonglongFeng
    @LonglongFeng 2 года назад

    what does the --wrap mean @6:51?? Thanks

    • @abail7010
      @abail7010 Год назад

      It's the call to make! That is explained 10 seconds later :D

    • @albertma1
      @albertma1 Год назад

      That’s why people really need to be patient to watch the full video.

  • @marshallsweatherhiking1820
    @marshallsweatherhiking1820 2 года назад

    Seems like the cache is more useful in an operational setting where you want to browse or scroll around a very large image. Looking at satellite or GIS data up close for example. But if you load a smaller dataset all at once its just a memory hog.

  • @mr.hibster9603
    @mr.hibster9603 2 года назад

    Good stuff mate!

  • @radhugasree4296
    @radhugasree4296 2 года назад

    Thank you so much

  • @alexandersmith4796
    @alexandersmith4796 2 года назад

    nice vid, deserves more views.

  • @alvarykefas2243
    @alvarykefas2243 2 года назад

    Great and wonderful explanation.

  • @jexpew3654
    @jexpew3654 2 года назад

    Nice explanation I understood well the concept than the way my lecture introduced to us

  • @redherring0077
    @redherring0077 3 года назад

    Excellent video. How come you stopped posting such beautiful videos. Please do a series on mathematics behind machine learning. You are an excellent teacher.

  • @redherring0077
    @redherring0077 3 года назад

    How come you didn’t do more of these? Excellent videos

  • @redherring0077
    @redherring0077 3 года назад

    Excellent

  • @jonathanterner6537
    @jonathanterner6537 3 года назад

    thanks for this. learned it in undergrad and then forgot. Thanks for the refresher!

  • @Cat_Sterling
    @Cat_Sterling 3 года назад

    Thank you for this video! Awesome explanation, it really helped me!