SPO600 Course Outline

Course Code: SPO600
Course Name: Software Portability and Optimization
Offered Date: Winter - 2022 | Other versions
Print Outline
Course Description:
This course introduces students to the dual challenges of porting software to run on new architectures and optimizing software performance. Students will learn to identify and replace architecture-specific code segments, benchmark software performance, and alter software to increase performance. This is a project-based course, and students will work within an established Open Source community to port and/or optimize an existing program. The particular open source community or communities to be studied will vary with each offering and be announced at the beginning of the semester.
Credit Status: One credit in the CNS, CTY, CPD, and CPA programs.
Prerequisite: IPC144 and (OPS435, or OOP344, or OOP345)
Mode of Instruction: 4 hours per week in an active learning classroom.
Learning Outcomes:

  • Identify the differences between two computer architectures.

  • Describe the process of porting software to a new architecture.

  • Identify architecture-specific code segments.

  • Read assembly-language code.

  • Benchmark and profile software performance.

  • Optimize software performance.

  • Use the tools of open source development particular to the OS project being studied. For example: distributed revision control; documentation tools; automated build and test systems; debuggers; source code utilities; tracking systems; on-line resources, etc.

Topic Outline:

Topic Outline:

  • Overview of computer architecture – 15%

    • Architectural features

    • Portability issues

  • Assembly language programming – 15%

    • Instruction set architectures

    • Interpreting assembly language code

    • Writing equivalent assembler for alternate platforms

    • Replacing assembler with portable code

  • Compiler options and optimization – 15%

    • Compiler options affecting portability

  • Benchmarking and Profiling – 15%

    • Reliable benchmarking

    • Profiling tools and procedures

  • Optimizing Software – 20%

    • Understanding performance characteristics

    • Performance trade-offs

    • Algorithm selection and replacement

  • Working with Open Source Communities – 20%

    • Communication

    • Collaboration

    • Submitting software changes

    • Code review practices

Prescribed Text(s):
Reference Material:

Course wiki pages

(Additional web resources will vary and will be identified during the course).

Will vary with project.
Promotion Policy:


Grading Policyhttp://www.senecacollege.ca/about/policies/grading-policy.html

A+ 90%  to  100%
A 80%  to  89%
B+ 75%  to  79%
B 70%  to  74%
C+ 65%  to  69%
C 60%  to  64%
D+ 55%  to  59%
D 50%  to  54%
F 0%    to  49% (Not a Pass)
EXC Excellent
SAT Satisfactory
UNSAT Unsatisfactory

For further information, see a copy of the Academic Policy, available online (http://www.senecacollege.ca/about/policies/academics-and-student-services.html) or at Seneca's Registrar's Offices. (https://www.senecacollege.ca/registrar.html).


Project deliverables 60%
Communication (including Wiki and Blog) 20%
Labs and Quizzes 20%
Approved By:
Mary-Lynn Manton
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