Counting Sand, the podcast that tackles the hard problem of how to make meaning of all the data available today. Introducing the themes at the heart of big data, high performance, and computer science, the show highlights the most cutting-edge applications. Whether discussing the best designs for a complex data system or the social implications of bringing a diverse skillset to data science, each new episode will provide research-backed perspectives on today’s hardest problems.
Bonus: Season 2 Recap
As we conclude season 2, Angelo reflects on the many brilliant guests and shared insights throughout the season. As Moore's Law ends, how do we continue to innovate and adapt to the ever-increasing domain of data and performance? What's next in computer science? Will the innovation and invention cycles that took place with Moore's Law repeat themselves in the golden age of quantum computing?
The End of Moore's Law Part 2
Angelo is excited to welcome back his friend and colleague, Manos Athanassoulis. Manos is a Professor at Boston University and Data Systems Researcher. In this episode of Counting Sand, Angelo and Manos dive deep into what does a database actually do? What is at the core of a data system? Most importantly, how can we use new and old techniques to free up the CPU's load by algorithmic trickery.
Dynamo: The Research Paper that Changed the World
In this episode of Counting Sand, Angelo takes a deep dive into why the Dynamo research paper is essential to our modern world.
The Promise of AI: Opportunities and Obstacles
AI is heralded as the future. Indeed, it has had a lot of success and promise, but what prevents it from fulfilling its true potential? What are the hidden dangers lurking in AI, and how do we regulate it? In this episode of Counting Sand, Angelo is joined by Dr. Eric Daimler, who leads MIT's first-ever spin-out from its math department. He co-founded six tech companies and was a presidential innovation fellow during the Obama administration. He helped drive the agenda for US leadership in research, commercialization, and public adoption of AI in this arena.
Energy, Edge Computing, and Data Centers
The world is consuming information at a voracious rate. In fact, we created new terminology to describe this phenomenon, and we call it big data. It can be characterized by four V’s. Volume means the size of the data. Velocity, how quickly is the data sent our way. Veracity, how truthful is the data. And, of course, the variety of data as the information itself comes in all shapes and sizes. Once all this data is collected, we are faced with real problems concerning infrastructure and computation. In this episode of Counting Sand, Angelo is joined by colleagues from across the world to talk about the impact and opportunity of big data ecosystems.
Cutting-Edge Data Systems: Machine Learning
On the cutting-edge of data systems lies the exciting work being done at the Harvard Data Systems Lab. This critical research is funded by National Science Foundation, Amazon, Meta, Tableau, Google, Microsoft, etc. Angelo is thrilled to be joined by the head of the lab, Stratos Idreos. During his time at Harvard, Stratos was Angelo’s thesis director and mentor.
Finished the whole series and plan to revisit a few times. Software development is a marathon and it is nice to have thought provoking content to chew on and think about when along your software journey.
Technophile who talks plainly
Angelo takes complex topics, boils them down to easy to understand concepts while keeping the subject interesting. Love this, I’m a fan.
Deep, timely and easy to understand
Listened to the first episode and will definitely subscribe for future updates. The author gives an interesting perspective on historical story while then making application to modern computationally hard problems.