What This Document Is
This is a problem set designed to reinforce your understanding of the principles of parallel computer architectures. Specifically, it focuses on applying theoretical concepts to practical scenarios involving code dependencies, pipeline scheduling, and vectorization techniques. It’s intended as a challenging exercise to solidify your grasp of the material covered in ELEG 652 at the University of Delaware. This assignment requires detailed analysis and independent problem-solving.
Why This Document Matters
This problem set is crucial for students enrolled in advanced computer architecture courses. It’s particularly beneficial for those aiming to specialize in high-performance computing, parallel processing, or compiler design. Working through these problems will enhance your ability to analyze and optimize code for parallel execution, a skill highly valued in many engineering roles. It’s best utilized *after* a thorough review of lecture notes and relevant readings on parallel architectures and vector processing.
Topics Covered
* Data Dependencies (output, anti, true) and their impact on parallelization
* Pipeline Scheduling and Loop Unrolling
* Vectorization Principles and Vector Chaining
* Memory Mapping Strategies for Vector Processors
* Collision Detection in Vector Memory Accesses (row-wise, column-wise, diagonal)
* Analysis of Memory Module Utilization in Vector Architectures
What This Document Provides
* A series of analytical problems requiring detailed explanations.
* Latency figures for common floating-point operations to aid in pipeline scheduling.
* A scenario involving a 2-D array mapped across multiple memory modules, prompting analysis of access patterns.
* Opportunities to evaluate different memory mapping schemes and justify design choices.
* A framework for understanding the trade-offs between memory usage and parallel access efficiency.
