From Java VMs and GPU Acceleration to Motorcycle Electronics

11/17/24 • 53 min

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

Christos Kotselidis on twitter: @CKotselidis

Previous Episode

From XML-Driven Enterprise Java to Serverless AWS Lambdas

An airhacks.fm conversation with Vadym Kazulkin (@VKazulkin) about: journey as a Java developer from the late 1990s to present, early experiences with Java and J2EE development, transition to cloud and serverless technologies, particularly AWS Lambda, discussion of Java performance on lambda compared to node.js, detailed explanation of AWS SnapStart technology for improving Java cold starts, pros and cons of "fat" Lambda functions versus microservices, challenges of using GraalVM with Lambda, importance of optimizing Lambda package size and dependencies, comparison of quarkus and Spring Boot on Lambda, benefits of serverless architecture for business logic focus, involvement with Java User Group Bonn and AWS Community Builder program, brief mention of asynchronous patterns in serverless architectures, importance of staying technically hands-on as a manager in the rapidly evolving cloud world

Vadym Kazulkin on twitter: @VKazulkin

Next Episode

ChatGPT for Java Development: Insights and Best Practices

An airhacks.fm conversation with Bruce Hopkins about: discussion on using ChatGPT for Java development, challenges and benefits of AI-assisted coding, importance of understanding and reviewing AI-generated code, bootstrapping approach in Bruce's book, using ChatGPT as a pair programmer, limitations of AI in making architectural decisions, potential pitfalls of relying too heavily on AI-generated code, multi-modal capabilities of AI models, creating a podcast visualizer project, integrating with Slack and Discord APIs, hallucination issues in AI responses, importance of prompt engineering, potential for Java in AI and LLM integration, advantages of Java in enterprise environments, energy efficiency and performance of Java compared to other languages, upcoming trends in Java development including project valhalla and Vector API, potential for a follow-up book on quarkus and langchain4j, modern Java syntax and features making it competitive with other languages, challenges of translating technical books to other languages, the ChatGPT for Java book