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Artwork for ADSP: Algorithms + Data Structures = Programs

ADSP: Algorithms + Data Structures = Programs

Conor Hoekstra, Bryce Adelstein Lelbach & Ben Deane
C++
NVIDIA
Algorithms
Rust
CUDA
Artificial Intelligence
Thrust
Programming Languages
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.

PublishesWeeklyEpisodes301Founded6 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 celebrate the 300th episode fo ADSP by catching up with Sean Parent!

• Link to Episode 300 on Website

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

Socials

• ADSP: The Podcast: Twitter

• Co... more

In this episode, Conor and Bryce discuss the role of humans in the loop with AI and code review in the age of AI.

• Link to Episode 299 on Website

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

Socials

• ADSP: The Podcast: ... more

In this episode, Conor and Ben chat about the design of APIs, UIs & algorithms!

• Link to Episode 298 on Website

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

Socials

• ADSP: The Podcast: Twitter

• Conor Hoekstra: LinkTree... more

In this episode, Conor and Ben chat about networking in FPS vs RTS video games, the state of the video game industry and more!

• Link to Episode 297 on Website

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

Socials

• ADSP: ... more

Key Facts

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
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
Sean Parent
A prominent figure in the programming community, known for his work on C++ and contributions to software development.
Episode: Episode 249: AI, Podcasts, Scandinavia Trip and More!
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
C++ and Rust software engineer, creator of the Flux library
NVIDIA
Episode: Episode 224: Flux Updates & Internal Iteration

Hosts

Conor
Host focusing on algorithms, data structures, and foundational CS concepts; frequently discusses CUDA, GPU topics, and software engineering practices.
Bryce Adelstein Lelbach
Co-host known for practical engineering insights, GPU-focused discussions, and commentary on tooling, languages, and industry trends.

Reviews

4.6 out of 5 stars from 241 ratings
  • Smart and Insightful

    Very smart and passionate hosts. I have learned so much from this podcast, and the energy of the hosts is infectious.

    Apple Podcasts
    5
    DonMiguel666
    United States2 months ago
  • 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
    9 months ago
  • Great show.

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

    Apple Podcasts
    5
    the poilman
    Denmarka year 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 States2 years ago
  • sad

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

    Apple Podcasts
    1
    MrMrMr9
    Russia2 years ago

Listeners Say

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

Audience appreciates practical takeaways on tooling, performance, and career development.
High praise for depth on CS concepts and live-CODE style explanations.
Some episodes can feel tangential or long, but the technical discussions remain the core draw.
Listeners value the accessible yet rigorous technical depth and live problem-solving style.
Guests and topics are technically rich, with occasional playful tangents that humanize the content.

Chart Rankings

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

Apple Podcasts
#110
Netherlands/Technology
Apple Podcasts
#117
Colombia/Technology
Apple Podcasts
#128
Argentina/Technology
Apple Podcasts
#141
Israel/Technology
Apple Podcasts
#147
Switzerland/Technology
Apple Podcasts
#151
Denmark/Technology

Talking Points

Recent interactions between the hosts and their guests.

Episode 286: GPU Profiling with NVIDIA Nsight Compute (NCU)
Q: How do tools like CuTile interact with existing CUDA APIs to improve performance?
CuTile automates memory movement optimizations and can work with kernels that would otherwise require manual tuning; it aims to provide a simple path to high performance by handling alignment and data movement, though certain edge cases may still require lower-level tweaks.
Episode 286: GPU Profiling with NVIDIA Nsight Compute (NCU)
Q: What are the most important profiling cues to look for when verifying memory-bound GPU algorithms?
Focus on memory throughput, width of memory operations, alignment, and how many threads are loading concurrently; use NICU's memory workload analysis to compare global memory movement against what the code actually needs, and check for uncoalesced accesses that inflate memory traffic.
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.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About This Podcast

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

Tech-focused programming podcast featuring two hosts who discuss algorithms, data structures, programming languages, and the latest developments in tech. Episodes blend deep technical dives with practical engineering insights on GPUs, compilers, AI tooling, and software architecture, often interleaved with light, personal tangents (games, parenting, hobbies) that Humanize high-performance computing topics. The show tends to attract listeners who enjoy rigorous, code-level conversations and real-world engineering challenges, while occasionally exploring broader industry trends and career advice. A few episodes showcase direct NVIDIA-related expertise and GPU programming, which adds a distinctive hardware-software perspective to standard soft... more

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Which podcasts are similar to this podcast?

These podcasts share a similar audience with this podcast:

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

How many episodes of this podcast are there?

this podcast launched 6 years ago and published 301 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. Vittorio Romeo
4. JF Bastien
5. Sean Parent
6. Jared Hoberock
7. Steve Yegge
8. Steve Klabnik

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