What This Document Is
This document comprises lecture materials (Lec 10-11) for CSE 502, a graduate-level Computer Architecture course at Stony Brook University. It delves into advanced techniques for enhancing instruction-level parallelism (ILP) within computer systems. The core focus is on *speculation*, a powerful method for overcoming limitations imposed by control and data dependencies in program execution. These slides build upon previously discussed concepts related to dynamic hardware exploitation of ILP and reservation stations.
Why This Document Matters
This resource is invaluable for graduate students in computer architecture, advanced undergraduate students, and professionals seeking a deeper understanding of high-performance processor design. It’s particularly useful when studying pipelining, dynamic scheduling, and the challenges of extracting maximum performance from modern computer architectures. Accessing these materials will provide a solid foundation for understanding how processors execute instructions efficiently and handle complexities like branch prediction and memory access.
Topics Covered
* Instruction Level Parallelism (ILP) and its limitations
* The concept of speculation as a method to increase ILP
* Dynamic branch prediction techniques
* The role of the Reorder Buffer (ROB) in speculative execution
* Memory disambiguation and handling exceptions in speculative environments
* Alternative approaches to ILP, including Very Long Instruction Word (VLIW) architectures
* Register renaming and its relationship to the Reorder Buffer
What This Document Provides
* A detailed exploration of the components necessary for hardware-based speculation.
* An explanation of how speculation integrates with and extends the Tomasulo algorithm.
* A breakdown of the fields contained within a Reorder Buffer entry.
* Insights into the trade-offs between register renaming and reorder buffers.
* A review of quiz performance data to gauge understanding of related concepts.
* Connections to real-world processor architectures like Pentium 4, Power 5, and AMD Athlon/Opteron.
