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From Java VMs and GPU Acceleration to Motorcycle Electronics

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Manage episode 450618028 series 2469611
Content provided by Adam Bien. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Bien or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
An airhacks.fm conversation with Christos Kotselidis (@CKotselidis) about:
early experiences with computers and programming, transition to studying Java and virtual machines at university, work on Jikes compiler and distributed software transactional memory for PhD, current roles as professor at University of Manchester and working on motorcycle electronics at KTM, overview of tornadovm project for accelerating Java on GPUs and other hardware, discussion of recent Java implementations of LLMs like jlama and llama3 java, potential for TornadoVM to accelerate model inference, challenges around quantized types for large models, integration with Project Panama for improved native interop, importance of performance and energy efficiency for enterprise Java applications, potential for Java Flight Recorder to provide power consumption metrics, need for standardized quantized types in Java, opportunities for Java in AI/ML workloads, invitation for companies to reach out about using Tornado VM for their use cases

Christos Kotselidis on twitter: @CKotselidis

  continue reading

344 episodes

Artwork
iconShare
 
Manage episode 450618028 series 2469611
Content provided by Adam Bien. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Bien or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
An airhacks.fm conversation with Christos Kotselidis (@CKotselidis) about:
early experiences with computers and programming, transition to studying Java and virtual machines at university, work on Jikes compiler and distributed software transactional memory for PhD, current roles as professor at University of Manchester and working on motorcycle electronics at KTM, overview of tornadovm project for accelerating Java on GPUs and other hardware, discussion of recent Java implementations of LLMs like jlama and llama3 java, potential for TornadoVM to accelerate model inference, challenges around quantized types for large models, integration with Project Panama for improved native interop, importance of performance and energy efficiency for enterprise Java applications, potential for Java Flight Recorder to provide power consumption metrics, need for standardized quantized types in Java, opportunities for Java in AI/ML workloads, invitation for companies to reach out about using Tornado VM for their use cases

Christos Kotselidis on twitter: @CKotselidis

  continue reading

344 episodes

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