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Software Unscripted
Distributed Functions with Jonathan Magen
Jul 18, 2024
Distributed systems scientist Jonathan Magen discusses functional programming in distributed systems using languages like Gleam, Elixir, Ballerina, and Jolie. They cover type inference, big data processing, and the advantages of using purely functional languages in ensuring code reliability.
48:00
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Quick takeaways
- Efficiency in distributed systems may not always improve with task distribution due to coordination inefficiencies.
- Security aspects are often neglected in formal methods, focusing on functional correctness and absence of race conditions.
Deep dives
Distributed Systems Challenges
Building distributed systems challenges the assumption that distributing tasks automatically leads to performance gains. Research highlights the slowdown caused by coordination protocols, emphasizing that not all algorithms benefit from distribution due to coordination inefficiencies. When data sets exceed single-machine capacities, strategies like computational locality may enhance processing but aren't universally effective. Many machine learning workloads misuse parallelization due to tools' inefficiencies, leading to unnecessary complexity.
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