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Artwork for ADSP: Algorithms + Data Structures = Programs

ADSP: Algorithms + Data Structures = Programs

Conor Hoekstra, Bryce Adelstein Lelbach & Ben Deane
C++
Algorithms
NVIDIA
Rust
CUDA
Thrust
Programming Languages
Artificial Intelligence
Python
Software Engineering
Generic Programming
Large Language Models
C++26
BQN
Parallel Algorithms
Rotate Algorithm
Software Development
Swift
Numpy
Roc Programming Language

A programming podcast hosted by three software engineers (two at a time) that focuses on algorithms, data structures, programming languages, latest news in tech and more. The podcast was initially inspired by Magic Read Along.

PublishesWeeklyEpisodes286Founded5 years ago
Number of ListenersCategory
Technology

Listen to this Podcast

Artwork for ADSP: Algorithms + Data Structures = Programs

Latest Episodes

In this episode, Conor and Bryce chat with Marco Franzeb Salgado about a potential GPU implementation of the rotate algorithm (Part 2).

• Link to Episode 285 on Website

• Discuss this episode, leave a comment, or ask a question (on GitHub)

Socials more

In this episode, Conor and Bryce chat with Marco Franzeb about a potential GPU implementation of the rotate algorithm.

• Link to Episode 284 on Website

• Discuss this episode, leave a comment, or ask a question (on GitHub)

Socials

• ADSP: The Podc... more

In this episode, Conor and Bryce chat with Marco Salgado about his journey from no programming experience to NVIDIA in < 3.5 years.

• Link to Episode 283 on Website

• Discuss this episode, leave a comment, or ask a question (on GitHub)

Socials

• A... more

In this episode, Conor and Ben chat about programming language archeology!

• Link to Episode 282 on Website

• Discuss this episode, leave a comment, or ask a question (on GitHub)

Socials

• ADSP: The Podcast: Twitter

• Conor Hoekstra: LinkTree / Bi... more

Key Facts

Accepts Guests
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

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Recent Guests

Marco Salgado
Software engineer at NVIDIA, NVComp library team
NVIDIA
Episode: Episode 283: From 0 Programming to NVIDIA in < 3.5 Years
Damian Maclennan
Technical director of the YOW! Conferences
YOW! Conferences
Episode: Episode 265: 🇦🇺 YOW! Live 🇦🇺 Kevlin Henney & Damian Maclennan
Kevlin Henney
A veteran speaker and author known for his contributions to programming literature.
Episode: Episode 264: 🇦🇺 Aphantasia, Anendophasia & the Future with Kevlin Henney
Vittorio Romeo
Former engineer and C++ trainer, transitioning from Bloomberg to independent consulting.
Romeo.training
Episode: Episode 259: 🇳🇴 NDC TechTown 🇳🇴 Vittorio Romeo & JF Bastien
JF Bastien
Tech professional with a background in C++, currently involved in a stealth startup.
Stealth Startup
Episode: Episode 259: 🇳🇴 NDC TechTown 🇳🇴 Vittorio Romeo & JF Bastien
Jared Hoberock
Software engineer known for his work on Thrust and CUDA libraries.
NVIDIA
Episode: Episode 240: Thrust, Rust vs C++, Python & More (Part 2)
Steve Yegge
Software engineer and writer known for his thoughts on programming and technology.
Episode: Episode 238: Recommended Podcast Discussions on AI & LLMs
Steve Klabnik
Co-author of the Rust Programming Language Book and a technology advocate.
Oxide
Episode: Episode 238: Recommended Podcast Discussions on AI & LLMs
Tristan Brindle
Expert and participant in the C++ community, involved in discussions about C++ contracts and safety
N/A
Episode: Episode 223: Is C++ Dying? II

Hosts

Conor
Co-host known for engaging discussions on algorithms and programming practices, often shares personal insights and analysis related to software engineering.
Bryce
Co-host who contributes technical expertise and perspectives on programming languages and current tech trends, often joins in discussions on software development strategies.

Reviews

4.5 out of 5 stars from 239 ratings
  • These days it's mostly AI chats, and a lot less content specifically about either algorithms or data structures than you might expect from the title. And when it is about algorithms, it's often unscripted and a bit muddled. Imagine two friends who work at Nvidia chatting in the break room and mostly remembering a thing they worked on while having a coffee.

    Podchaser
    3
    wrosecrans
    6 months ago
  • Great show.

    Love the show and its blend of substance, selection of interesting guests, and humor.

    Apple Podcasts
    5
    the poilman
    Denmark8 months ago
  • Almost as good as TLB Hit 💥

    Bryce and Conor are great, I haven’t listened to their podcast (even the episode I was in), but I’m told it’s a good podcast so here’s five stars. ⭐️

    TLB Hit is clearly superior, even if I weren’t biased. But good job folks! 🙌

    Apple Podcasts
    5
    JF Bastien
    United Statesa year ago
  • sad

    pathetic ai generated content, followed by board games content, followed by crosswords content. ADSP indeed, no kidding!

    Apple Podcasts
    1
    MrMrMr9
    Russiaa year ago
  • Garbage

    2 mins on topic. The rest spent on self important nonsense.

    Apple Podcasts
    1
    Eorghhrw
    Australia2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Overall, the content is well-received for its accessible presentation of challenging subjects, and many listeners find it educational yet enjoyable.
There's a consensus on the hosts' ability to make complex concepts understandable, primarily benefiting those interested in programming and algorithms.
Listeners appreciate the engaging blend of technical discussions and personal anecdotes, adding both substance and relatability to the show.
Some feedback indicates that certain episodes stray too far from the main topics, which can detract from the overall listening experience.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#189
Canada/Technology
Apple Podcasts
#241
United Kingdom/Technology
Apple Podcasts
#230
Italy/Technology
Apple Podcasts
#68
Austria/Technology
Apple Podcasts
#205
South Korea/Technology
Apple Podcasts
#210
Japan/Technology

Talking Points

Recent interactions between the hosts and their guests.

Episode 283: From 0 Programming to NVIDIA in < 3.5 Years
Q: What were you doing before you started programming, and how did you accelerate to NVIDIA so quickly?
Marco explains he began with mechanical/aerospace interests, picked up Python and later C++, discovered CUDA in 2024, and through a combination of a Europe-wide search for a master's advisor, a strong supervisor, and an internship at NVIDIA, transitioned into a full-time NVIDIA role.
Episode 262: 🇳🇱 Chaos with Sean Parent! Bikes, Buses, Waffles & More!
Q: What are your thoughts on generic programming?
Generic programming is built on the notion of concepts, which is a collection of related requirements, forming the basis of mathematics applied in programming.
Episode 243: Learning Languages
Q: What is your advice on the best way to learn a language?
Engaging in real conversations with native speakers and practicing consistently is far more effective than using language apps alone.
Episode 242: Thrust & Parallel Algorithms (Part 4)
Q: Can you tell us a little bit about when you guys first put Thrust out there?
Jared talks about its enthusiastic reception during early talks at GTC and the rapid adoption.
Episode 242: Thrust & Parallel Algorithms (Part 4)
Q: Are you proud of Thrust?
Jared expresses mixed feelings, seeing missed opportunities but also gratification that it is still widely used.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

A programming-themed show that dives into a variety of topics including algorithms, data structures, and programming languages, while also addressing the latest news in technology. The hosts often share personal anecdotes and reflections, blending technical discussions with engaging storytelling. Unique to this show is its approachable style; hosts frequently make complex subjects accessible to listeners, and contribute to an ongoing conversation about the evolution of programming practices and learning methodologies. The podcast stands out for its blend of technical depth and conversational tone, making it suitable for both novice and experienced programmers looking to expand their knowledge whilst enjoying relatable discussions.

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Which podcasts are similar to this podcast?

These podcasts share a similar audience with this podcast:

1. Oxide and Friends
2. CppCast
3. CoRecursive: Coding Stories
4. Software Engineering Radio - the podcast for professional software developers
5. Two's Complement

How many episodes of this podcast are there?

this podcast launched 5 years ago and published 286 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Marco Salgado
2. Damian Maclennan
3. Kevlin Henney
4. Vittorio Romeo
5. JF Bastien
6. Jared Hoberock
7. Steve Yegge
8. Steve Klabnik

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