Suppose we are able to keep track of the types instructions that get executed by a program executing on a pipelined RISC-V processor. The program executes a total of 300 instructions. Of these 300 instructions there are 10function calls, 80 c onditional branches and 65 load instructions. 40 percent of conditional branches are taken and thepipeline predicts the branch is not taken. Also, a third of load instructions produce load/use pipeline hazards during the execution. Calculate the load penalty (lp), misprediction penalty (mp), function call penalty (fp) and cycles per instruction (CPI) for the above case. Show your steps of the calculationa. Equation for load-use penalty b. Equation for misprediction penalty c. Equation for return penalty d. Equation for total CPI for this code calculated using above values e. Space to show additional calculations

a  social news website  is an  internet  website  that features  user-posted stories. such stories are ranked based on popularity, as voted on by other users of the site or by website administrators. users typically comment online on the news posts and these comments may also be ranked in popularity. since their emergence with the birth of  web 2.0, social news sites have been used to link many types of information, including news, humor, support, and discussion. all such websites allow the users to submit content and each site differs in how the content is moderated. on the  slashdot  and  fark  websites,  administrators  decide which articles are selected for the front page. on  reddit  and  digg, the articles that get the most votes from the community of users will make it to the front page. many social news websites also feature an online comment system, where users discuss the issues raised in an article. some of these sites have also applied their voting system to the comments, so that the most popular comments are displayed first. some social news websites also have a  social networking  function, in that users can set up a user profile and follow other users' online activity on the website.