Lecture 1, February 27th, 2024 Introduction to the course. Lecture1 - Introduction
Summary of computer organization and architecture: Slides 1-31. Overview of Computer Architecture - Part 1

Lecture 2, February 29th, 2024 Summary of computer organization and architecture: Slides 32-95. Lecture2 - Overview of Computer Architecture - Part 2

Lecture 3, March 5th, 2024 Basic circuits for arithmetic operations: Ripple-carry adder and multiplier for unsigned and signed numbers.
Circuits for speeding up arithmetic operations: Carry select adder Lecture 3 - Computer arithmetic - Slides 1-33

Lecture 4, March 7th, 2024 Circuits for speeding up arithmetic operations: Carry look-ahead adder. Pipelined addition. Pipelined unsigned and signed multiplication. Evaluation of circuit: area and delay. Lecture 4 - Computer arithmetic - Slides 34-65

Lecture 5, March 12th, 2024 Representations for fast arithmetic. Redundant number systems. Lecture 5 - Redundant number systems

Lecture 6, March 14th, 2024
Residue Number systems. Lecture 6 - Residue Number System - Slides 1-30

Lecture 7, March 19th, 2024 Residue Number systems. Lecture 6 - Residue Number System - Slides 31-37 <be>
Exercises: Residue Number system, RB number system, Pipelined adders and multipliers, Booth recoding for multiplication, Circuit time and area.

Lecture 8, March 21st, 2024 Introduction to parallel architectures and motivations. Classification of parallel architectures. Lecture 8 - Introduction to parallel architectures: motivations and classifications

Lecture 9, April 4th, 2024 The SIMD class. Vector architectures. Lecture 9 - Vector Architectures - Slides 1 - 43

Lecture 10, April 9th, 2024 Vector architectures. Lecture 10 - Vector Architectures - Slides 44 - 71 <be>
Graphics Processing Units: introduction and starting notions. Lecture 10 - GPUs - Slide 1-52

Lecture 11, April 11th, 2024 Graphics Processing Units. Multiplication of matrices using CUDA. Lecture 11 - GPUs - Slides 53-114

Lecture 12, April 16th, 2024 Exercises on GPUs. Performance and speed-up: Amdahl's law, Processor performance equation, and Gustafson-Barsis's law. Lecture 12 - Performance and speed-up

April 18th, 2024 - Midterm

Lecture 13, April 23, 2024 Compact formats for sparse matrices. Lecture 13 - Sparse Matrices

Lecture 14, April 30th, 2024 Interconnection networks Lecture 14 - Interconnection networks - Slides 1-100

Lecture 15, April 2th, 2024 Interconnection networks Lecture 15 - Interconnection networks - Slides 101-129

Lecture 16, May 7th, 2024 <be> Exercises on Sparse Matrices. Exercises on interconnection networks: Mesh, Hypercube, Clos network, MINs.

Lecture 17, May 9th, 2024 Exercises on Fat trees (generalized and extended). Exercises on Amdhal Law and Performance Equation.

Lecture 18, May 14th, 2024 Introduction to Quantum Computing. Qubits and One-qubit gates
Lecture 18 - Quantum Computing - Slides 1-60

Lecture 19, May 16th, 2024 Quantum Computing: Multiple-Qubit gates and Quantum circuits. Lecture 19 - Quantum Computing Slides 61-104

Lecture 20, May 21st, 2024 Quantum Computing: No-cloning theorem. Teleportation, Universality, Adders. 2024-Lecture20-QuantumComputing.pdf

Lecture 21, May 23rd, 2024 Exercises on quantum circuits. Exercises for final test.

June 6, 2024 - End-of-term Test.

-- Annalisa Massini - 2025-02-24

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