HPCA Module wise plan - notes PDF

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SCHOOL OF COMPUTER ENGINEERING KALINGA INSTITUTE OF INDUSTRIL TECHNOLOGY DEEMED TO BE UNIVERSITY BHUBANESWAR LESSON – PLAN School : Program : Academic Session : Subject : Semester : Faculty : Module No. & name / Section no. Name

1. Overview of Von-Neuman Architecture 2. Pipelining

Tutorial 3. Hierarchical Memory Technology

Tutorial

School of Computer Engineering B. Tech. CSE 2019 (July. - November) High Performance Computer Architecture (HPCA) 5th Semester(2017 admitted batch) Subhasis Dash Topics/ Coverage

1. Introduction to instruction architecture. 2. Memory & I/O devices with their interfacing unit. 3. Performance Measurement CISC and RISC processor 1. Introduction to parallel processing & pipelining Concept. 2. Types of Hazard (Structural, data, Control ) 3. Technique for overcoming or Reducing the effects of Various hazards 4. RISC Pipeline Doubt Clearance 1. Cache memory organization 2. Coherence & locality properties 3. Techniques for reducing cache misses 4. Mapping & management technique 5. Memory replacement polices 6. Virtual memory organization 7. Associative memory organization Doubt Clearance

Mid-term Examination 4. Instruction Level Parallelism

Tutorial 5.Multiprocessor Architecture

Tutorial

1. Concepts of instruction level parallelism (ILP) 2. Techniques for increasing ILP 3. Super scalar & Super pipelined 4. VLIW Processor architecture 5. Vector & Array Processor 6. Case Studies of contemporary microprocessor Doubt Clearance 1. Taxonomy of Parallel Architecture 2. Centralized Shared-memory architecture 3. Synchronization 4. Memory consistency 5. Types of Interconnection Networks 6. Distributed Shared memory architecture 7. Cluster Computer Doubt Clearance

End-Term Examination

Text Book:

Computer Architecture A quantitative Approach. By: John L. Hennessy & David A. Patterson.

Reference Book:

Advanced Computer Architecture. By: Kai Hwang & Faye A. Briggs. Advanced Computer Architecture. By: Kai Hwang

Pedagogy

: Lecture, Assignments, Quiz.

Evaluation Methodology: Mid Term: 50; End Term: 50

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