Software Engineering

Software Project Management

Scope: Define and manage the project’s goals and deliverables.
Schedule: Plan and track the timeline of each task.
Budget: Estimate and control the project’s costs.
Quality: Ensure the software meets the required standards and user needs.
Risk: Identify potential issues and plan for their mitigation.
Team: Assign roles, facilitate communication, and resolve team conflicts.
Communication: Keep all stakeholders informed about the project’s progress.
Procurement: Acquire necessary resources for the project.
Integration: Coordinate all aspects of the project for effective collaboration.
Stakeholder Management: Identify stakeholders and manage their expectations and involvement.

Elicitation: Gather and understand the needs and constraints of the stakeholders.
Specification: Document the requirements in a clear, concise, and comprehensive manner.
Validation: Check the requirements for feasibility, consistency, completeness, and stakeholder agreement.
Management: Handle changes to requirements in a controlled manner throughout the project.
Functional Requirements: Define what the system should do, such as specific features and functionalities.
Non-Functional Requirements: Define how the system should behave, such as performance, security, and usability requirements.
User Requirements: Understand and document the needs and expectations of the end-users.
System Requirements: Specify what is needed from the system as a whole, including hardware and software needs.
Software Quality Attributes: Identify and specify attributes like reliability, maintainability, portability, and scalability.
Use Case Analysis: Use scenarios to understand how users will interact with the system.

Software Architecture: Define the high-level structure of the software and how its components interact.
Modularity: Design the software in separate modules that can be developed and tested independently.
Data Design: Design how data will be stored, accessed, and manipulated within the system.
Interface Design: Define how the software components will interact with each other and with users.
Procedural Design: Define the procedures or operations that will be used to manipulate the data.
User Interface Design: Design the interfaces that users will interact with.
Software Patterns: Use established design patterns to solve common design problems.
Performance Design: Design the software to meet performance requirements, such as speed and memory usage.
Security Design: Design the software to protect against threats and vulnerabilities.
Error Handling and Recovery: Design how the software will handle errors and recover from failures.

Microarchitectures: Tesla, Fermi, Kepler, Maxwell, Pascal, Volta, Turing, Ampere, Hopper
Parallel Computing: Develop code to exploit massive parallelism in Nvidia GPUs, including parallel algorithms, models and design.
CUDA: Develop code in Nvidia’s CUDA (Compute Unified Device Architecture) language for massively parallel computing.
Languages: Develop code in Python, C, C++ and integrate with CUDA.
Memory Management: Effective CPU and GPU memory management to optimize performance.
Hardware Knowledge: Deep understanding of Nvidia GPU architectures.
Optimization: Crucial understanding of Nvidia GPU algorithms for parallel computing and code optimization.
Multi-GPU Programming: Distribute workloads across multiple GPUs and manage the increased complexity of multi-GPU software development.
Mathematical Computations: Nvidia GPU algorithms often involve mathematical computations, i.e. matrix operations in machine learning.
Nvidia Libraries: Deep knowledge of Nvidia GPU libraries, library algorithms and library API’s.
Nvidia Toolsets: Experience with an array of Nvidia GPU tools for efficient software development.

Test Planning: Define the strategy and plan for testing activities.
Test Cases: Create specific scenarios to test different aspects of the software.
Test Execution: Run the tests and record the results.
Defect Reporting: Document any bugs or issues found during testing.
Test Automation: Use tools to automate repetitive testing tasks.
Functional Testing: Test the functionality of the software to ensure it works as expected.
Non-Functional Testing: Test non-functional aspects like performance, usability, and security.
Regression Testing: Test the software after modifications to ensure existing functionality still works.
User Acceptance Testing: Have end-users test the software to ensure it meets their needs.
Test Closure: Evaluate the testing process and use the information to improve future testing.

Corrective Maintenance: Fix known defects and make the software work as intended.
Adaptive Maintenance: Modify the software to keep it usable in a changed or changing environment.
Perfective Maintenance: Improve the performance or maintainability of the software without changing its functionality.
Preventive Maintenance: Update the software to prevent future problems.
Software Configuration Management: Manage the versions and configurations of the software.
Change Control Process: Manage requests for changes or additions to the software.
Software Support: Provide help and support to users of the software.
Performance Monitoring: Monitor the software to ensure it is performing as expected.
Software Documentation: Update the software’s documentation to reflect changes.
Retirement Planning: Plan for the end of the software’s life cycle.