))
Amdahl's Law: The Limits of Parallelism and Why More Processors Aren't Always Better
Archivierte Serien ("Inaktiver Feed" status)
When?
This feed was archived on January 21, 2025 12:35 (
Why? Inaktiver Feed status. Unsere Server waren nicht in der Lage einen gültigen Podcast-Feed für einen längeren Zeitraum zu erhalten.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 438712038 series 3597947
Inhalt bereitgestellt von Fatih Yavuz. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Fatih Yavuz oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
Dive into the fascinating world of parallel computing and discover why more processors don't always lead to faster performance.
In this episode, we explore:
- Understanding Amdahl's Law and its impact on concurrent programming
- Real-world applications and limitations of parallelization
- Best practices for optimizing code with Amdahl's Law in mind
Tune in to uncover surprising insights about the limits of parallelism and learn how to make informed decisions about optimizing your code.
Want to dive deeper into this topic? Check out our blog post here: Read more
★ Support this podcast on Patreon ★77 Episoden
Teilen
