Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
Foojay.io에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Foojay.io 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Player FM -팟 캐스트 앱
Player FM 앱으로 오프라인으로 전환하세요!
Player FM 앱으로 오프라인으로 전환하세요!
Execute Java code with TornadoVM on CPUs, GPUs, and FPGAs (#17)
Manage episode 367848429 series 3366865
Foojay.io에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Foojay.io 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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
54 에피소드
Manage episode 367848429 series 3366865
Foojay.io에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Foojay.io 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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
54 에피소드
Tất cả các tập
×플레이어 FM에 오신것을 환영합니다!
플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.