
Parallel computing
Programming paradigmWikipedia
4
MENTIONS
3
EPISODES
3
PODCASTS
Search complete. 4 mentions across 3 episodes found for "Parallel computing".
Oct 17, 2026
Stanford Webinar - How AI is Changing Coding and Education, Andrew Ng and Mehran Sahami
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26:23Mehran SahamiGUEST
Caching, big concept that can have big impact on your code.
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26:26Mehran SahamiGUEST
Parallelization, concept that can have big impact on your code.
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26:29Mehran SahamiGUEST
So these are the kinds of things that I don't want people to become complacent, to say that everything's gonna get handled for you.
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26:35Mehran SahamiGUEST
The machines are getting smarter, so I, I can envision a world in which we just mo- basically move higher and higher up the food chain in terms of what we need to worry about.
Modern Java in Action: Lambdas, streams, functional and reactive programming
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5:03speaker_5HOST
Right.
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5:03speaker_5HOST
And if Java didn't figure out a way to easily handle parallel processing across all those idle cores, it was gonna wither away like COBOL, or it would just get completely replaced by newer, sleeker competitors running on the Java virtual machine, languages like Scala.
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5:18speaker_6GUEST
Which was a very real threat at the time.
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5:19speaker_5HOST
So what does this all mean? How does a physical hardware problem actually translate into a software coding problem?
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6:29speaker_6GUEST
Your program just freezes.
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6:31speaker_6GUEST
So to solve this multi-core hardware problem, the language designers realized they had to completely rethink how we pass instructions around.
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6:40speaker_6GUEST
They needed to make parallel processing safe by default.
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6:44speaker_5HOST
Okay, so if hard coding every single thread interaction is out, how do we actually pass instructions safely? I guess developers first needed a way to write incredibly flexible code, right?
AtlasBase and imec's Integrated Chip for DNA-Based Data Storage
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64:36Simone SeveriGUEST
However, uh, compared to tape, uh, the advantage are so big and, uh, the speed, uh, uh, delta, it's, uh, not, uh, such a big, uh, uh, yeah, it's not a showstopper for the application related to data storage.
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64:55Simone SeveriGUEST
Parallelization also, both of the synthesis and the sequencing, very much help in, uh, in actually leveraging out the difference, the potential difference between tape and DNA storage.
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65:09Simone SeveriGUEST
And another important information, which is more of a detail if you want, but in the moment in which you read a, a movie, for example, that you have stored, at the same time you can generate hundreds of copy of this movie back.
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65:26Simone SeveriGUEST
So, uh, not only you will never lose the information, but, uh, actually in the moment [laughs] in which you read it, you can generate also more copy and store it back, uh, in a, in a safe environment for the next thousand of years.