TornadoVM is a programming and execution framework for offloading and running JVM applications on multi-core CPUs, GPUs, and FPGAs. With the same code, some of your existing program code can be executed hundreds of times faster!
Guests
- Juan Fumero, TornadoVM Lead Architect
- Christos Kotselidis, TornadoVM Project Leader
- Thanos Stratikopoulos, TornadoVM Senior Solutions Architect
- Jakob Jenkov
Podcast
- Host: Erik Costlow
- Production: Frank Delporte
Content
- 00’00 Intro
- 00’36 Introduction of the guests
- 04’26 What is TornadoVM?
- 05’54 How applications can make use of the acceleration provided by TornadoVM
- 11’48 The difference between CPU threads and GPU instruction chain
- 13’42 Possible use cases for TornadoVM
- 15’23 Results on Apple M1
- 17’19 Can TornadoVM be used in cloud environments
- 21’18 How to use the API
- 24’41 Jakobs view of what would be a good match between TornadoVM and cloud usage on AWS Lambdas
- 30’54 The complexity of GPU and FPGA programming languages and handling the differences between different architectures of GPUs, CPUs, and FPGAs
- 40’28 How TornadoVM could be used to heat up buildings, help to reduce the total cloud cost for companies, and run ChatGPT
- 43’30 Relationship between project Panama and TornadoVM
- 48’10 How to get started with TornadoVM
- 54’41 Outro