CS60003: High Performance In Computer Architecture
| CS60003 | |||||||||||||||||||||||||||
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| Course name | High Performance In Computer Architecture | ||||||||||||||||||||||||||
| Offered by | Computer Science & Engineering | ||||||||||||||||||||||||||
| Credits | 4 | ||||||||||||||||||||||||||
| L-T-P | 4-0-0 | ||||||||||||||||||||||||||
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| Semester | Spring | ||||||||||||||||||||||||||
Syllabus
Syllabus mentioned in ERP
Introduction: review of basic computer architecture, quantitative techniques in computer design, measuring and reporting performance. CISC and RISC processors. Pipelining: Basic concepts, instruction and arithmetic pipeline, data hazards, control hazards, and structural hazards, techniques for handling hazards. Exception handling. Pipeline optimization techniques. Compiler techniques for improving performance. Hierarchical memory technology: Inclusion, Coherence and locality properties; Cache memory organizations, Techniques for reducing cache misses; Virtual memory organization, mapping and management techniques, memory replacement policies. Instruction-level parallelism: basic concepts, techniques for increasing ILP, superscalar, super-pipelined and VLIW processor architectures. Array and vector processors. Multiprocessor architecture: taxonomy of parallel architectures. Centralized shared-memory architecture: synchronization, memory consistency, interconnection networks. Distributed shared-memory architecture. Cluster computers. Non von Neumann architectures: data flow computers, reduction computer architectures, systolic architectures.References1.John L. Hennessy and David A. Patterson, Computer Architecture: A Quantitative Approach, Morgan Kaufmann.2.John Paul Shen and Mikko H. Lipasti, Modern Processor Design: Fundamentals of Superscalar Processors, Tata McGraw-Hill.3.M. J. Flynn, Computer Architecture: Pipelined and Parallel Processor Design, Narosa Publishing House.4.Kai Hwang, Advanced Computer Architecture: Parallelism, Scalability, Programmability, McGraw-Hill.