Suppose we have one floating-point multiplication unit in our microprocessor, and it takes seven cycles for it to complete the multiplication. If we get 3 back-to-back floating-point multiply instructions with no data dependency on the previous values, then what type of Hazard can we run into? a. Exception or Interrups b. Control Hazard c. No Hazard, as there is no dependency on the data between the three instructions e. Data Hazard f. Structural Hazard

Convert the given  code fragment to assembly code fragment, using only instructions of the following types. These instructions are generally discussed in class. Here X,Y,Z are  any memory locations;  R, R1, R2 are any general registers; L is a label in the code (you can use any names as labels, ex. L, L1, L2 etc. ). load X, R //copy contents of memory location X into R. store R, X //Store contents of R into Mem location X cmp R1, R2 //Compute R1-R2 and update condition codes;                                                 //throw away result of subtraction. jmp L                       //Jump to location L in the code. jmpp L                      //If P bit is 1, Jump to location L in the code add X, R //Add contents of X,R and store result in R;                                    //Also update the condition codes.   Be careful about what type of argument is allowed in the instruction (Memory or Register). Ex. the first argument of ADD instruction is memory, not register.   Do Not…

Python code, the code that I have is wrong. I am getting a error "'relative_error' is inaccurate"

Consider the following problem:You are given a tower of n disks and three pegs. Disks are initially stacked in decreasing size (from the largest in the bottom to the smallest at the top) on one of the pegs. The objective is to transfer the entire tower to one of the other pegs (the third, let’s say), moving only one disk at a time and never a larger one onto a smaller one. (1) Write a code/pseudocode that uses the divide and conquer technique to solve the problem. (2) Write a recurrence relation for the time complexity of the problem and explain how you came up with the relation. (3) then express the time taken by your algorithm in Big-O notation.