<div class='slidealt'>Virtualization research projects <a title='ARM multicore kvm open source' href='/en/research'>in cloud and embedded systems</a></div> <div class='slidealt'>Virtualization solutions for heterogeneous <a title='ARMv7-ARMv8 virtualization open source solutions' href='/en/solutions'>ARM multicore systems</a></div> <div class='slidealt'>Benefit from custom <a title='kvm on arm services full virtualization' href='/en/services'>virtualization services</a></div> <div class='slidealt'>Experience kvm <a title='virtualization for embedded heterogeneous arm core platforms' href='/en/products'>virtualization extensions</a></div> <div class='slidealt'>KVM on ARMv7 and ARMv8 <a title='kvm-on-arm open source smu extensions' href='/en/solutions/guides/vfio-on-arm/'>IOMMU full virtualization</a></div>

FP7 EU SAVE research project

Self-Adaptive Virtualisation-Aware High-Performance/Low-Energy Heterogeneous System Architectures

research in embedded systems virtualization to support kvm on arm virtualization extensions

The SAVE project defines cross-cutting software/hardware technologies to obtain an innovating self-adaptive virtualization-aware heterogeneous system architecture. SAVE proposes a new run-time self-adaptive operating system support software layer that is able by using an orchestrator to partition and distribute tasks (or virtual machine) execution on the available resources among CPUs, GPUs and DFEs. In addition the research project targets hardware-assisted virtualization for GPUs and DFEs (Data Flow Engines) to improve performance.