Virtualization never fails to provide more processing virtualization which can be used in both software and hardware. One processing virtualization called parallels virtualization which is commercially called as parallels workstation can be utilized using a lightweight hypervisor. A lightweight hypervisor is a software which is a thin layer that works between the chief operating system and the host computer’s hardware.

The task of the lightweight hypervisor is to run some of the resources of the computer hardware. Once this task is achieved, the results would be more secure and stable and higher-performing virtual machines.

Parallels virtualization engine’s superiority among other software virtualization lets every virtual machine to function like the physical computer. It should be noted as well that each virtual machine has its personal set of virtual hardware which includes: RAM, floppy, processor, I/O devices, hardware disk and CD/DVD drives.

The parallels virtualization offers a number of features which absolutely serves its purpose and presents the solutions to the users’ need. The first feature of the parallels virtualization is: it is easy to install and easy to use. In commoditize kit of the parallel virtualization comes with a kit to fully equip the user with most of the advanced features and functions.

High-performance of the software is guaranteed since it provides users the capacity to make a completely-networked system and secure independent virtual machines on a single physical computer.

The flexibility, strength, and stability of the virtual machine are achieved in parallels virtualization regardless of what operating system is being used by the user. And for the record, this software is very economical.

In parallelizing multigrid algorithm on developmentally advanced computers, processor virtualization can offer a number of functions and purpose.

Through processor virtualization adaptive process overlapping, better cache performance, and dynamic load balance control can be accomplished.

The simplicity of the idea of processor virtualization can yield to high processor virtualization. It should be noted that each physical processor runs at least two virtual processors, so if the other virtual processor is jammed on receiving data, the other virtual processor found on the same physical processor can perform the computation and control the communication. The adaptive overlap of communication and computation largely reduces the possibility of the physical processor in being inactive.

Better cache performance is also a great benefit in using processor virtualization. Each virtual processor contains a smaller set of data when compared to original physical processor. Hence, a virtual processor can encompass better memory when we talk about communication and computation. Also, many serial cache optimizations come from blocking effect. So for instance, a huge set of grid data are allocated to the physical processor, the cache performance is already guaranteed given that the number of virtual processor is adjusted.

For the easy load balancing that processor virtualization can give the users, there are two classifications that should be known when it comes to load balancing strategies.

What shall be done? Just cautiously split the problems into the initial load distribution or do some adjustments of the load during the run time. First method goes to; initial load distribution which can be utilized with regular structure and the stability of computation and communication frameworks. Then for the second method or the balancing method, it can be done by tracing the program implementation by marking the overload and underloaded processor.

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