CORE

Advanced Computer Architecture

24CSH710 · S7 · 4 credits

Official KTU 2024 syllabus subject — study with practice, PYQs and AI tools.

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Syllabus
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Modules
Module 01Fundamentals of Quantitative Design and Analysisexpand

Classes of Computers- Classes of parallelism and Parallel Architectures. Trends in Technology, Power and Cost. Measuring, Reporting and Summarizing Performance. Quantitative Principles of Computer Design. The Processor Performance. Basics of Memory Hierarchy, Cache Performance and Optimizations.

Module 02Instruction Level Parallelismexpand

Instruction Level Parallelism- Concepts and Challenges. Basic Compiler Techniques for Exposing ILP, Advanced Branch Prediction - Intel Core i7 Branch Predictor, Overcoming Data Hazards with Dynamic Scheduling- Tomasulo’s Approach. Hardware-Based Speculation. Multiple Issue and Static Scheduling, Exploiting IPL using Dynamic Scheduling, Multiple Issue and Static Scheduling.

Module 03Data and Thread Level Parallelismexpand

Data Level Parallelism- Vector Architecture, Graphics Processing Units. Thread Level Parallelism- Multithreading: Exploiting Thread-Level Parallelism, Centralized Shared Memory, Basic Schemes for enforcing Coherence, Snooping Coherence Protocols, Distributed Shared Memory.

Module 04Warehouse-Scale Computersexpand

Warehouse-Scale Computers- Programming Models and Workloads for WSC, Computer Architecture of Warehouse-Scale Computers, Physical Infrastructure and Cost of WSC, Measuring Efficiency of WSC Cost of WSC. Cloud Computing. Domain-Specific Architectures -Google’s Tensor Processing Unit.

Module 05Modern Parallel Computing Paradigmsexpand

Overview Superscalar and VLIW architectures- EPIC, The Intel IA-64 Architecture. Multi- core architectures- Data marshaling for multi-core architectures, Heterogeneous core design, Core Fusion. On-chip interconnects (Network-on-Chip). Polymorphic architecture. Processing-in-Memory (PIM).

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