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High Performance Computer Architecture

High Performance Computer Architecture. Instructor: Prof. Ajit Pal, Department of Computer Science and Engineering, IIT Kharagpur. This course tries to provide an overview of computer architecture at different levels and various aspects of advanced computer architecture. Topics covered include review of basic organization and architectural techniques, instruction level parallelism, memory hierarchies, peripheral devices, thread level parallelism, and process level parallelism. (from nptel.ac.in)

Lecture 18 - Dynamic Instruction Scheduling with Branch Prediction

Go to the Course Home or watch other lectures:

Lecture 01 - Introduction and Course Outline

Lecture 02 - Performance

Lecture 03 - Instruction Set Architecture

Lecture 04 - MIPS ISA Processor

Lecture 05 - MIPS ISA Processor (cont.)

Lecture 06 - Pipelining Introduction

Lecture 07 - Instruction Pipelining

Lecture 08 - Pipeline Hazards

Lecture 09 - Data Hazards

Lecture 10 - Software Pipelining

Lecture 11 - In Quest of Higher ILP (Instruction Level Parallelism)

Lecture 12 - In Quest of Higher ILP (cont.)

Lecture 13 - Dynamic Instruction Scheduling

Lecture 14 - Dynamic Instruction Scheduling (cont.)

Lecture 15 - Control Hazards

Lecture 16 - Branch Prediction

Lecture 17 - Branch Prediction (cont.)

Lecture 18 - Dynamic Instruction Scheduling with Branch Prediction

Lecture 19 - Hardware based Speculation

Lecture 20 - Tutorial I

Lecture 21 - Hierarchical Memory Organization

Lecture 22 - Hierarchical Memory Organization (cont.)

Lecture 23 - Hierarchical Memory Organization (cont.)

Lecture 24 - Hierarchical Memory Organization (cont.)

Lecture 25 - Cache Optimization Techniques

Lecture 26 - Cache Optimization Techniques (cont.)

Lecture 27 - Main Memory Organization

Lecture 28 - Main Memory Optimizations

Lecture 29 - Virtual Memory

Lecture 30 - Virtual Memory (cont.)

Lecture 31 - Virtual Machines

Lecture 32 - Storage Technology

Lecture 33 - Storage Technology (cont.)

Lecture 34 - Case Studies

Lecture 35 - Case Studies (cont.)

Lecture 36 - Case Studies (cont.)

Lecture 37 - Multithreading and Multiprocessing

Lecture 38 - Simultaneous Multithreading

Lecture 39 - Symmetric Multiprocessors

Lecture 40 - Distributed Memory Multiprocessors

Lecture 41 - Cluster, Grid and Cloud Computing