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OpenJDK Projects (Leyden, Babylon, Panama) and TornadoVM (#82)

34:48
 
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Manage episode 519494998 series 3366865
Kandungan disediakan oleh Foojay.io. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Foojay.io atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

In this Foojay Podcast, we're diving deep into some of the most exciting developments happening within the OpenJDK and TornadoVM projects.

At the Devoxx and JFall conferences, we spoke with several speakers and visitors about some of the major themes that are shaping the future of Java development. The first guest is Moritz Halbritter from the Spring Engineering team. He provides us with more insights into Project Leyden and how it's improving Java startup times through ahead-of-time compilation and profiling. We'll learn how Spring Boot developers can already take advantage of these improvements today.

Next, we'll hear from John Cecerralli at Azul about performance optimizations, the evolution from x86 to ARM64 architectures, and how OpenJDK Projects bring improvements to the JVM itself at levels we couldn't achieve before.

Then, Balkrishna Rawool will guide us through the world of vector databases and explain how Java's Vector API from Project Panama is perfectly positioned for AI use cases, despite its development beginning years before the current AI boom.

And finally, we'll meet some of the team members behind TornadoVM - Christos Kotselidis and Michalis Papadimitriou from the University of Manchester - who will explain to us how Java developers can now harness the power of GPUs for AI workloads, running large language models in pure Java without leaving the Java ecosystem. They also explain the connection between TornadoVM and the OpenJDK Project Babylon.

00:00 Introduction of topics and guests

01:58 Moritz Halbritter

* https://www.linkedin.com/in/moritz-halbritter-9301a1b1/

* Project Leyden and how it can already be used with Spring

* Difference between the approach of Project Leyden and CRaC

11:02 John Cecerralli

* https://www.linkedin.com/in/john-ceccarelli-95b7041/

* OpenJDK evolutions in Project Leyden

* Startup time improvements in Azul Prime

* Java performance

* ARM Graviton

17:08 Balkrishna Rawool

* https://www.linkedin.com/in/balkrishnarawool/

* Vector API, project Panama

22:44 Christos Kotselidis, Michalis Papadimitriou

* https://www.linkedin.com/in/michalis-papadimitriou/

* https://www.linkedin.com/in/kotselidis/

* https://www.tornadovm.org/

* https://www.tornadovm.org/gpullama3

* https://github.com/beehive-lab/TornadoVM

* TornadoVM status update, Java on GPU

* How TornadoVM relates to Project Babylon and Project Panama

33:42 Outro

  continue reading

88 episod

Artwork
iconKongsi
 
Manage episode 519494998 series 3366865
Kandungan disediakan oleh Foojay.io. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Foojay.io atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

In this Foojay Podcast, we're diving deep into some of the most exciting developments happening within the OpenJDK and TornadoVM projects.

At the Devoxx and JFall conferences, we spoke with several speakers and visitors about some of the major themes that are shaping the future of Java development. The first guest is Moritz Halbritter from the Spring Engineering team. He provides us with more insights into Project Leyden and how it's improving Java startup times through ahead-of-time compilation and profiling. We'll learn how Spring Boot developers can already take advantage of these improvements today.

Next, we'll hear from John Cecerralli at Azul about performance optimizations, the evolution from x86 to ARM64 architectures, and how OpenJDK Projects bring improvements to the JVM itself at levels we couldn't achieve before.

Then, Balkrishna Rawool will guide us through the world of vector databases and explain how Java's Vector API from Project Panama is perfectly positioned for AI use cases, despite its development beginning years before the current AI boom.

And finally, we'll meet some of the team members behind TornadoVM - Christos Kotselidis and Michalis Papadimitriou from the University of Manchester - who will explain to us how Java developers can now harness the power of GPUs for AI workloads, running large language models in pure Java without leaving the Java ecosystem. They also explain the connection between TornadoVM and the OpenJDK Project Babylon.

00:00 Introduction of topics and guests

01:58 Moritz Halbritter

* https://www.linkedin.com/in/moritz-halbritter-9301a1b1/

* Project Leyden and how it can already be used with Spring

* Difference between the approach of Project Leyden and CRaC

11:02 John Cecerralli

* https://www.linkedin.com/in/john-ceccarelli-95b7041/

* OpenJDK evolutions in Project Leyden

* Startup time improvements in Azul Prime

* Java performance

* ARM Graviton

17:08 Balkrishna Rawool

* https://www.linkedin.com/in/balkrishnarawool/

* Vector API, project Panama

22:44 Christos Kotselidis, Michalis Papadimitriou

* https://www.linkedin.com/in/michalis-papadimitriou/

* https://www.linkedin.com/in/kotselidis/

* https://www.tornadovm.org/

* https://www.tornadovm.org/gpullama3

* https://github.com/beehive-lab/TornadoVM

* TornadoVM status update, Java on GPU

* How TornadoVM relates to Project Babylon and Project Panama

33:42 Outro

  continue reading

88 episod

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