Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Hyper-threading works by duplicating those parts of processor which store architectural state but not duplicating main execution resources. This permits a Hyper-threading equipped processor to pretend to be two 'logical' processors to host operating system, allowing operating system to schedule 2 processed or threads concurrently. Where execution resources in a non-Hyper-threading capable processor aren't used by current task and particularly when processor is stalled a Hyper-threading equipped processor can use those execution resources to execute other scheduled task.
Besides its performance implications, this innovation is transparent to Programs and operating systems. All that is needed to take advantage of Hyper-Threading is symmetric multiprocessing (SMP) support in operating system as logical processors emerge as standard separate processors.
Though it's likely to optimize operating system behaviour on Hyper-threading capable systems like Linux techniques explained in Kernel Traffic. E.g. consider an SMP system with two physical processors which are both Hyper-Threaded (for a total of four logical processors). If operating system's process scheduler is unaware of Hyper-threading it will treat all four processors similarly.
Consequently if just two processes are entitled to run it may decide to schedule those processes on two logical processors which happen to belong to one of the physical processors. So one CPU will be very busy while other CPU will be entirely idle, leading to poor overall performance. This can be avoided by improving scheduler to treat logical processors in a different way from physical processors; in a sense it's a limited form of scheduler changes which are needed for NUMA systems.
Task A task is logically discrete section of computational work. A task is normally a program or else set of instructions which are executed by a processor. Parallel
Discuss the CSMA/CD and CSMA/CA protocols. CSMA/CD: this is an access method used mainly with LANs configured in a bus topology. Along with CSMA/CD, any station (node) can se
Researching strategy - artificial intelligence: If our search and researching strategy and swot of it is surety to find all types of hints such the solutions eventually, then
What are the General Security Issues Many issues exist when linking a computer system to the Internet or indeed to an external link via a network set up. There are numerous way
Q. Define Resolution versus Accuracy in mouse? Resolution of mouse is known in CPI (Counts per Inch) it implies that number of signals per inch of travel. This implies the mou
Define class P The class of all sets L that can be known in polynomial time by deterministic TM. The class of all decision problems that can be decided in polynomial time.
Q. Illustrate what is a Centrifugal Force? Answer:- Centrifugal force is the force that is equivalent in magnitude but opposite in direction to the centripetal force which
1. Create the following ADTs. (a) Write the constructor function makestk, predicate function emptystk and mutator functions pushstk and popstk: i. makestk returns a new stack
Q. What you mean by organizational effectiveness? Organizational effectiveness is measured in terms of productivity, structural flexibility, Employee involvement and Job satisf
APPLICATIONS OF PARALLEL PROCESSING Parallel computing is an development of sequential computing which tries to emulate what has always been the condition of affairs in natural
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd