Execute Java code with TornadoVM on CPUs, GPUs, and FPGAs (#17)

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1+ y ago 54:41

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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
- https://twitter.com/snatverk
Christos Kotselidis, TornadoVM Project Leader
- https://twitter.com/CKotselidis
Thanos Stratikopoulos, TornadoVM Senior Solutions Architect
- https://twitter.com/thanos_str
Jakob Jenkov
- https://twitter.com/jjenkov

Podcast

Host: Erik Costlow
- https://twitter.com/costlow
Production: Frank Delporte
- https://twitter.com/FrankDelporte

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
- https://foojay.io/today/a-flavour-of-tornadovm-on-apple-m1-pro/
17’19 Can TornadoVM be used in cloud environments
21’18 How to use the API
- https://foojay.io/today/migrating-applications-to-tornadovm-v0-15-part-1/
- https://foojay.io/today/migrating-applications-to-tornadovm-v0-15-part-2/
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
- https://www.khronos.org/
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
- https://tornadovm.readthedocs.io/en/latest/introduction.html
54’41 Outro

59 episódios

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