Difference between revisions of "GPGPU-FedCloud"

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= Status of accelerated computing in Clouds  =
 
= Status of accelerated computing in Clouds  =
<div>Need modification/support at all levels</div>
+
Need modification/support at all levels
<br>
+
 
  
 
*Chipset&nbsp;: HW virtualization support (otherwise some limitation)  
 
*Chipset&nbsp;: HW virtualization support (otherwise some limitation)  
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*CMFs: VM start, scheduler  
 
*CMFs: VM start, scheduler  
 
*FedCloud facilities: accounting, information discovery  
 
*FedCloud facilities: accounting, information discovery  
*Application: VM images with correct drivers for specific chipsets<br>
+
*Application: VM images with correct drivers for specific chipsets
  
<br>
 
  
 
= Accelerators  =
 
= Accelerators  =
  
 
== GPGPU (General-Purpose computing on Graphical Processing Units)  ==
 
== GPGPU (General-Purpose computing on Graphical Processing Units)  ==
<div>NVIDIA GPU/Tesla/GRID, AMD Radeon/FirePro, Intel HD Graphics,...</div><div>Virtualization using VGA pass-through, vGPU (GPU partitioning) - NVIDIA GRID accelerators</div><div><br></div>
+
NVIDIA GPU/Tesla/GRID, AMD Radeon/FirePro, Intel HD Graphics,...
 +
Virtualization using VGA pass-through, vGPU (GPU partitioning) - NVIDIA GRID accelerators
 +
 
 
== Intel Many Integrated Core Architecture  ==
 
== Intel Many Integrated Core Architecture  ==
 
<div>Xeon Phi Coprocessor</div><div>Virtualization using PCI pass-through</div><div><br></div>  
 
<div>Xeon Phi Coprocessor</div><div>Virtualization using PCI pass-through</div><div><br></div>  

Revision as of 13:42, 30 April 2015

Status of accelerated computing in Clouds

Need modification/support at all levels


  • Chipset : HW virtualization support (otherwise some limitation)
  • OS level: correct kernel configuration for the accelerators
  • Hypervisor: configuration pass-through, vGPU
  • CMFs: VM start, scheduler
  • FedCloud facilities: accounting, information discovery
  • Application: VM images with correct drivers for specific chipsets


Accelerators

GPGPU (General-Purpose computing on Graphical Processing Units)

NVIDIA GPU/Tesla/GRID, AMD Radeon/FirePro, Intel HD Graphics,... Virtualization using VGA pass-through, vGPU (GPU partitioning) - NVIDIA GRID accelerators

Intel Many Integrated Core Architecture

Xeon Phi Coprocessor
Virtualization using PCI pass-through

Specialized PCIe cards with accelerators

DSP (Digital Signal Processors)
FPGA (Field Programmable Gate Array)
Not commonly used in cloud environment

Hypervisors

QEMU/KVM

Supports only pass-through virtualization model
vGPU support is under development

Citrix XenServer 6, VMware ESXi 5.1

Support both pass-through and vGPU virtualization models

Limitations:

  • vGPU support require certified server HW
  • Live VM migration is not supported
  • VM snapshot with memory is not supported