Code Monkey home page Code Monkey logo

Comments (2)

sakjain92 avatar sakjain92 commented on August 21, 2024

Please see the Micro-benchmark Experiments section of the paper which contains this line: We conduct the evaluation on two Nvidia GPUs: GTX 1080 and Tesla V100 (GTX 1080 is not of Volta architecture)

FGPU does require Nvidia's MPS in its current implementation so that the application's logic doesn't need to be modified (more or less). Most of the newer Nvidia GPUs come with support for MPS. The Volta MPS is slightly different architecture in that it also has a QoS feature. FGPU doesn't use this QoS feature (furthermore, in our evaluations, we show FGPU is better than this Volta's MPS QoS feature when it comes to providing isolation). So hence FGPU will work with any Nvidia GPU that supports MPS. For reference, see https://docs.nvidia.com/deploy/pdf/CUDA_Multi_Process_Service_Overview.pdf

MPS requires a GPU with compute capability version 3.5 or higher
The Volta architecture introduced new MPS capabilities. Compared to MPS on pre-Volta
GPUs, Volta MPS provides a few key improvements:
Volta MPS clients submit work directly to the GPU without passing through the
MPS server.
Each Volta MPS client owns its own GPU address space instead of sharing GPU
address space with all other MPS clients.
Volta MPS supports limited execution resource provisioning for Quality of Service
(QoS).

See https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units for list of all GPU with compute capability > 3.5 (Mostly all GPUs released post-2015)

from fractional-gpus.

XutongLi avatar XutongLi commented on August 21, 2024

Please see the Micro-benchmark Experiments section of the paper which contains this line: We conduct the evaluation on two Nvidia GPUs: GTX 1080 and Tesla V100 (GTX 1080 is not of Volta architecture)

FGPU does require Nvidia's MPS in its current implementation so that the application's logic doesn't need to be modified (more or less). Most of the newer Nvidia GPUs come with support for MPS. The Volta MPS is slightly different architecture in that it also has a QoS feature. FGPU doesn't use this QoS feature (furthermore, in our evaluations, we show FGPU is better than this Volta's MPS QoS feature when it comes to providing isolation). So hence FGPU will work with any Nvidia GPU that supports MPS. For reference, see https://docs.nvidia.com/deploy/pdf/CUDA_Multi_Process_Service_Overview.pdf

MPS requires a GPU with compute capability version 3.5 or higher
The Volta architecture introduced new MPS capabilities. Compared to MPS on pre-Volta
GPUs, Volta MPS provides a few key improvements:
Volta MPS clients submit work directly to the GPU without passing through the
MPS server.
Each Volta MPS client owns its own GPU address space instead of sharing GPU
address space with all other MPS clients.
Volta MPS supports limited execution resource provisioning for Quality of Service
(QoS).

See https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units for list of all GPU with compute capability > 3.5 (Mostly all GPUs released post-2015)

thank you

from fractional-gpus.

Related Issues (6)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.