Subordinate kernels application offloading in asymmetric multi processor systems
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Subordinate Kernels: Application Offloading in Asymmetric Multi-Processor Systems. Ross McIlroy 1,2 and Orion Hodson 2 1 Microsoft Research, Redmond 2 University of Glasgow. Motivation. Proliferation of cores CPUs GPUs Network cards RAID controllers. Overall Vision.

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Subordinate Kernels: Application Offloading in Asymmetric Multi-Processor Systems

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Subordinate kernels application offloading in asymmetric multi processor systems

Subordinate Kernels: Application Offloading in Asymmetric Multi-Processor Systems

Ross McIlroy1,2 and Orion Hodson2

1 Microsoft Research, Redmond

2 University of Glasgow


Motivation

Motivation

  • Proliferation of cores

    • CPUs

    • GPUs

    • Network cards

    • RAID controllers


Overall vision

Overall Vision

  • Applications written in platform neutral code

  • OS leverages the available hardware cores, placing application on most appropriate device

  • Provide an environment for safe 3rd party applications on devices

  • Enable new and interesting applications


Subordinate kernels

Subordinate Kernels

App 1

App 2

App 1

App 2

ABI Shim

Kernel

Subordinate

Kernel

Cpu 0

Cpu 1

Cpu 0

Cpu 1

Memory

Memory

Host Node

Device Node


Singularity

Singularity

  • Microkernel design

  • Kernel and applications written in managed code (variant of c#)

  • Type checking and static verification used to ensure process isolation

  • No explicit shared memory between processes


Singularity inter process comms

Singularity Inter-Process Comms

  • A Singularity process has only 2 communication mechanisms

Application A

Application B

Channels

Kernel ABI

Kernel


Subordinate kernel design

Subordinate Kernel Design

App 1

App 2

App 1

Subordinate Helper

ABI Shim

Kernel

Subordinate

Kernel

Cpu 0

Cpu 1

Cpu 0

Cpu 1

Memory

Memory

Device Node

Host Node


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