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Contenido proporcionado por Fatih Yavuz. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Fatih Yavuz o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Boosting Performance: Inlining, Loop Unrolling, and Other Code Optimizations

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When? This feed was archived on January 21, 2025 13:08 (11M ago). Last successful fetch was on October 02, 2024 00:09 (1y ago)

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Manage episode 438676297 series 3596734
Contenido proporcionado por Fatih Yavuz. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Fatih Yavuz o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Dive into the world of JIT compilation and discover how code optimizations can dramatically boost Java application performance.

In this episode, we explore:

  • The power of inlining: Learn how this technique can eliminate method call overhead and open doors for further optimizations.
  • Loop unrolling unveiled: Understand how reducing loop iterations can lead to faster execution and better instruction pipelining.
  • Escape analysis explained: Discover how the JIT compiler optimizes object allocation to reduce pressure on the garbage collector.
  • Real-world impact: Find out how these optimizations can improve performance by an impressive 40-50%.

Tune in to unravel the complexities of JIT optimizations and learn why Java can rival the performance of lower-level languages.

Want to dive deeper into this topic? Check out our blog post here: Read more

★ Support this podcast on Patreon ★
  continue reading

48 episodios

Artwork
iconCompartir
 

Series guardadas ("Feed inactivo" status)

When? This feed was archived on January 21, 2025 13:08 (11M ago). Last successful fetch was on October 02, 2024 00:09 (1y ago)

Why? Feed inactivo status. Nuestros servidores no pudieron recuperar un podcast válido durante un período sostenido.

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 438676297 series 3596734
Contenido proporcionado por Fatih Yavuz. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Fatih Yavuz o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Dive into the world of JIT compilation and discover how code optimizations can dramatically boost Java application performance.

In this episode, we explore:

  • The power of inlining: Learn how this technique can eliminate method call overhead and open doors for further optimizations.
  • Loop unrolling unveiled: Understand how reducing loop iterations can lead to faster execution and better instruction pipelining.
  • Escape analysis explained: Discover how the JIT compiler optimizes object allocation to reduce pressure on the garbage collector.
  • Real-world impact: Find out how these optimizations can improve performance by an impressive 40-50%.

Tune in to unravel the complexities of JIT optimizations and learn why Java can rival the performance of lower-level languages.

Want to dive deeper into this topic? Check out our blog post here: Read more

★ Support this podcast on Patreon ★
  continue reading

48 episodios

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