Problem 1:
Use the register and memory values in the table below for the next questions. Assume a 32-bit machine.
Assume each of the following questions starts from the table values; that is, DO NOT u
Problem 1
The design team for a simple, single-issue processor is choosing between a pipelined or
non-pipelined implementation. Here are some design parameters for the two possibilities:
Parameter
Clo
1 Addition of two number Its performed n2 times which means once for each of
n2 elements in the matrix being computed .Since the total number of
elements in two given matrices is N = 2n2, the total nu
Backtracking and branch-and-bound are two algorithm design techniques for solving
problems in which the number of choices grows at least exponentially with their instance
size.
- Both techniques const
Given a class of algorithms for solving a particular problem, a lower bound indicates the
best possible efficiency any algorithm from this class can have.
- A trivial lower bound is based on counting
UPDATED! 172 Sample Questions
1. When must you signal before making a turn?
At least 100 feet before the intersection
2. How close may you park to a stop sign?
50 feet
3. How close may you park to a c
CSCI-651 Algorithm Concepts
Graphs
Sandra Kopecky
Department of Computer Science
New York Institute of Technology
Graphs
1
Graphs
A graph is a data structure for representing the
many-to-many relatio
CSCI-651 Algorithm Concepts
Topic: Asymptotic Notations
Sandra Kopecky
Department of Computer Science New York Institute of Technology
1
Asymptotic Notations
Computational Complexity Analysis
of Algor
Binary Searching Complexity
Sandra Kopecky
Department of Computer Science
New York Institute of Technology
1
Sequential Search
2
Binary Search
3
Binary Search
4
CSCI-651 Algorithm Concepts
Priority Queue Tree, Heap (Tree), Splay Tree
Sandra Kopecky
Department of Computer Science
New York Institute of Technology
1
Priority Queues
A priority (queue) tree is a c
CSCI-651 Algorithm Concepts
Lecture Topic: Queues
Sandra Kopecky
Department of Computer Science New York Institute of Technology
1
Lecture Topic: Queues
Introduction
Queue: a first-in-first-out (FIFO)
CSCI-651: Algorithm Concepts
Final - Review
Sandra Kopecky
Department of Computer Science
New York Institute of Technology
Linked List
Adding
Inserting
Deleting
Linked List (continued)
Understand
CSCI-651 : Algorithm Concepts
Lecture #2 : Stacks
Sandra Kopecky
Department of Computer Science
New York Institute of Technology
Lecture #2
1
What is a Stack?
Stack is a special type of linked list da
CSCI-651 Algorithm Concepts
Sorting
Sandra Kopecky
Department of Computer Science - New York Institute of Technology
1
Sorting
What is Sorting?
Sorting is an operation that segregates items into
group
New York Institute of Technology
School of Engineering and Technology
Department of Computer Science
Manhattan Campus
CSCI-651-M02 Algorithm Concepts
Course Catalog Description :
Abstract Data Structu
CSCI-651 ALGORITHM CONCEPTS
HASHING
1
Sandra Kopecky
Department of Computer Science
New York Institute of Technology
HASHING
Definition:
Hashing is a technique that provides faster search
results.
Bal
1
Sandra Kopecky
Department of Computer Science
New York Institute of Technology
Lecture #1
CSCI-651 : ALGORITHM CONCEPTS
LECTURE #1
INTRODUCTION
LISTS
INTRODUCTION
About me
Syllabus
Course Definiti
1
CSCI-651 Algorithm Concepts
Topic: Trees
Sandra Kopecky
Department of Computer Science
New York Institute of Technology
Topic: Trees
2
Topic: Trees
Definitions
A tree is a non-linear structure with
Decrease-and-conquer is a general algorithm design technique, based on exploiting a
relationship between a solution to a given instance of a problem and a solution to a
smaller instance of the same pr
Divide-and-conquer is a general algorithm design technique that solves a problem by
dividing it into several smaller subproblems of the same type (ideally, of about equal
size), solving each of them r
There are two kinds of algorithm efficiency: time efficiency and space efficiency.
- Time efficiency indicates how fast the algorithm runs; space efficiency deals
with the extra space it requires.
An
Assignment 3
Submit the assignment as the attachment to the blackboard by 10/9/2012 2:20pm
The file name must be hw2_lastName_firstLetterOfFirstName (e.g., hw2_gu_h is my
file name for the assignment
Assignment 2
Submit the assignment as the attachment to the blackboard by 10/4/2012 2:20pm
The file name must be hw2_lastName_firstLetterOfFirstName (e.g., hw2_gu_h is my
file name for the assignment
CSCI335 Assignment 1
Submit the assignment as the attachment to the blackboard by 9/25/2012 2:20pm
The file name must be hw1_lastName_firstLetterOfFirstName (e.g., hw1_gu_h is my
file name for the ass
Problem 1
Consider two different implementations, M1 and M2, of the same instruction set. There are three
classes of instructions (A, B, and C) in the instruction set. M1 has a clock rate of 80 MHz an
Convert -1313.3125 to IEEE 32-bit floating point format.
a. The integral part is 131310 = 101001000012. The fractional:
0.3125 2 = 0.625 0 Generate 0 and continue.
0.625 2 = 1.25 1 Generate 1 and cont
Introduction
VHDL stands for VHSIC (Very High Speed Integrated Circuits) Hardware
Description Language.
In the mid-1980s the U.S. Department of Defense and the IEEE
sponsored the development of this
Numbers
The default number representation is the decimal system. VHDL allows integer
literals and real literals. Integer literals consist of whole numbers without a
decimal point, while real literals
Problem 1:
Assume a 32-bit machine. What is the content of each register and which memory locations are changed
as the code below is executed. Use the register and memory values in the table below as
Problem 1
Consider two different implementations, M1 and M2, of the same instruction set. There are three classes
of instructions (A, B, and C) in the instruction set. M1 has a clock rate of 80 MHz an