代写2530FNW、代做Python程序语言

日期：2024-10-31 09:13

THE UNIVERSITY OF HUDDERSFIELD

School of Computing and Engineering

ASSIGNMENT SPECIFICATION

Module Details

Module Code NHE2530FNW

Module Title PCA, Clusters and Grids

Course Title/s BEng (Hons) Electronic Engineering and Computer Systems

Assessment Weighting, Type and Contact Details

Title Python for Parallel computing project

Weighting 26%

Mode of working for

assessment task

Individual

Note: if the assessment task is to be completed on an individual

basis there should be no collusion or collaboration whilst working on

and subsequently submitting this assignment.

Module Leader Dr S AMAMRA [email protected]

Module Tutor/s Dr A FARZAMNIA

Submission Submission and Feedback Details

Hand-out date 16/09/2024

How to submit your

work.

Brightspace/Turnitin

Submission date/s 17/11/2024 by 12:00 noon – if you have any technical issues

submitting your work, please contact the Module Leader as

soon as possible.

Expected amount of

independent time you

should allocate to

complete this

assessment

30 hours

Submission type and

format

Lab report (1500 words, doc/pdf).

2

Submission Submission and Feedback Details

Date by which your

grade and feedback

will be returned

16/12/2024

Note: This is a maximum of three working weeks after the

submission deadline.

Additional Guidance

Information

Details

Your responsibility It is your responsibility to read and understand the University

regulations regarding conduct in assessment.

Please pay special attention to the assessment regulations

(section 10) on Academic Misconduct.

In brief: ensure that you;

1. DO NOT use the work of another student - this includes

students from previous years and other institutions, as well

as current students on the module.

2. DO NOT make your work available or leave insecure, for

other students to view or use.

3. Any examples provided by the module tutor should be

appropriately referenced, as should examples from external

sources.

Further guidance can be found in the SCEN Academic Skills

Resource and UoH Academic Integrity Resource module in

Brightspace.

Guidance on using AI: Level 1 – Not Permitted

The use of AI tools is not permitted in any part of this

assessment.

School Guidance and

Support

If you experience difficulties with this assessment or with time

management, please speak to the module tutor/s, your

Personal Academic Tutor, or the Student Progress Mentors.

Student Progress Mentor – useful links.

3

Additional Guidance

Information

Details

• Brightspace Module - SCE Student Progress Mentors

(hud.ac.uk).

• Email - [email protected]

Booking an appointment - http://hud.ac/rgl

Requesting a Late

Submission

It is expected that you complete your assessments by the

published deadlines. However, it is recognised that there can

be unexpected circumstances which may affect you being able

to do so. In such circumstances, you may submit a request for

an extension.

Extension applications must be submitted before the published

assessment deadline has passed.

To apply for an extension, you should access the Extension

System on MyHud.

Extenuating

Circumstances (ECs)

An EC claim is appropriate in exceptional circumstances, when

an extension is not sufficient due to the nature of the request.

You can access details on the procedure for claiming ECs, on

the Registry website; Consideration of Personal Circumstances

- University of Huddersfield, where you can also access the

EC Claim Form.

You will need to submit independent, verifiable evidence for

your claim to be considered.

Once your EC claim has been reviewed you will get an EC

outcome email from Registry.

An approved EC will extend the submission date to the next

assessment period (e.g July resit period).

Late Submission

(No ECs approved)

Late submission, up to 5 working days, of the assessment

submission deadline, will result in your grade being capped to

a maximum of a pass mark.

Submission after this period, without an approved extension,

will result in a 0% grade for this assessment component.

4

Additional Guidance

Information

Details

Tutor Referral

available

YES

Resources • Please note: you can access free Office365 software

and you have 500 Gb of free storage space available on

Microsoft’s OneDrive – Guidance on downloading Office

365.

• Python

5

Assignment Title

Computer Cluster and Cloud Project

1. Assignment Aims

The aim of this assignment is to investigate parallel computing / processing using

Python and it is based on practical laboratory work that consist of three distinct

components:

• Test and validation of a serial Python Program to find roots of a Quadratic

Equation.

• Parallel a serial program in the above point using Multiprocessing package

on Python.

• Parallel a serial program in the above point using Joblib package on Python.

• Compare Multiprocessing and Joblib performance on Python to parallel

serial programs.

2. Learning Outcomes:

Knowledge and Understanding Outcomes

2. Examine and compare the parallel computing packages on Python, and assess their

performance, and theoretical speed up of parallel processing applications.

Ability Outcomes

3. Deploy a parallel processing program, using Python, using environment software.

4. Evaluate different Python packages for parallel processing using appropriate

package tools, in order to justify their applicability/non-applicability in running

specific engineering or scientific application.

3. Assessment Brief

This is an individual assignment, assessed by individual laboratory report.

The following serial code (Fig.1) is to find the Roots of a Quadratic Equation. The

mathematical representation of a Quadratic Equation is ax²+bx+c = 0. A Quadratic

Equation can have two roots, and they depend entirely upon the discriminant.

• If discriminant > 0, then Two Distinct Real Roots exist for this equation

• If discriminant = 0, Two Equal and Real Roots exist.

6

• And if discriminant < 0, Two Distinct Complex Roots exist

The serial program

Figure.1

Assignment objectives:

• Discuss parallel computing on Python with available different libraries?

• Please specify the difference between process and thread.

• Find out the number of your processors on your computer using the multiprocessing

package.

• Use multiprocessing package to parallel the code in Figure-1 and record the running

time. Hint: You may need to check out the pool.apply function.

• Use joblib package to parallel the code in Figure-1 and record the running time.

• Produce a laboratory report detailing

a. Research on the use of Python for parallel processing.

b. Development of a code using multiprocessing package.

c. Development of a code using joblib package.

d. Performance analysis for the developed programs.

e. Benchmarking – comparison of the developed programs.

4. Marking Scheme

The assignment work will be assessed through laboratory report.

The laboratory report should have a well-defined structure similar to the following:

Organisation and content (70%)

Date, Title

Software Used

7

1. Brief Objectives

This should state clearly what the objectives of the laboratory are.

2. Diagrams

Diagram or system sketches.

3. Notes on the procedure used,

4. Programs design and test Results

a. Results obtained from these.

b. Performance comparison.

Discussion (20%)

The discussion section may need to be completed outside the timetabled session

as this section shows if you understand the meaning and limitation of your results.

The contents should cover the following points where appropriate.

a) What can be learned from the results?

b) Do the simulation results agree with the theory or expected results?

c) What are the performances between the two procedures (Packages)?

d) Could the program design be done more accurately or in a better way?

e) Is there any further work which could be done?

Conclusion (10%)

Comments on the results obtained. A paragraph should be adequate for most

sessions.

8

5. Grading Rubric

Grading Rubric for NHE2404 DSP Applications Assignment

This assignment grading rubric has been developed to show how the assignment will be graded, you should therefore use it to enable you to maximise your

assignment grade in all areas. Post grading: the rubric can be used as feedback to show the aspects/areas that would be expected in any future related

assignment, to gain a higher grade.

Awarded Grade

0 2 4 6 8 10

Lab Report: Organisation and content - weighting 70%

The title, date and

equipment (10%)

No

evidence

provided

Some information on lab activities

missing

Inconsistent record of lab

activities

Most of the lab

activities recorded

and structured

All lab records

Structured fully as given

in the Assignment sheet

Diagrams (10%)

Layout with no obvious structure. reasonably presented

Structured with

annotations and

practical layout

Easy to follow

throughout and neatly

presented

Objectives

(10%) Few objectives stated Some relevant objectives

stated

Most objectives stated

with clear purpose of

lab activities

All objectives stated and

demonstrating excellent

understanding

Procedure

(10%)

Brief procedure in Python program

design outlined with no or minimal

accompanying information

Procedure in Python

program design stated

with some accompanying

information

Procedure in Python

program design stated

with detailed

information and

reasoning

Procedure in Python

program design stated

with extensive

information and

reasoning behind the

steps required to

complete it

9

Program design using

Multiprocessing

(10%)

Brief information on Program design

Some information on

program design stated

with some accompanying

information

Most the information

on program design

presented with

detailed information

the validation

Detailed information on

program design with

extensive information on

test and validation

Program design using

joblib (10%)

Brief information on Program design

Some information on

program design stated

with some accompanying

information

Most the information

on program design

presented with

detailed information

the validation

Detailed information on

program design with

extensive information on

test and validation

Results/ relevant

images

(10%)

Inadequately presented - untidy reasonably presented Structured with

annotations and

practical layout

Easy to follow

throughout and neatly

presented

Awarded Grade

0 4 8 12 16 20

Lab Report: Discussion 20%

Discussion

(20%) No

evidence

provided

Brief discussion on

outcomes of the lab

work

Some discussion on

outcomes of the lab

work, with brief

reflection on the

experimental results

Discussion on

outcomes of the lab

work, with reflection on

sources of errors in

experimental results

Discussion on

outcomes of the lab

work, with

suggestions for

more accurate or

better approach

Critical discussion

supported by

evidence and

analysis of the

achieved outcomes

Awarded Grade

0 2 4 6 8 10

Lab Report: Conclusion 10%

10

Conclusion

(10%) No

evidence

provided

Limited/inadequate conclusions – not accounting

for achievements and or not relating to original

Aims and Objective (A&Os)

Basic conclusions

given – related to

original A&Os

Extensive detailed

conclusions

Extensive detailed

conclusions with

reference to

possible Future

Work