Linux Assembly Language Programming

Lecture notes on PC Assembly Language

This pdf includes Number Systems, Assembly Language, Computer Organization, Creating a Program, Skeleton File, Working with Integers, Control Structures, Translating Standard Control Structures, Shift Operations, Boolean Bitwise Operations, Manipulating bits in C, Big and Little Endian Representations, Counting Bits, Indirect Addressing, Simple Subprogram Example, The Stack, The CALL and RET Instructions, Calling Conventions, Interfacing Assembly with C, Recursive Subprograms, Introduction, Floating Point Representation, Floating Point Arithmetic, The Numeric Coprocessor and Structures.

Author(s): Paul A.Carter

188 Pages

MIPS Assembly Language Programming by Robert Britton

This PDF book covers the following topics related to MIPS Assembly Language Programming : The MIPS Architecture, Pseudocode, Number Systems, PCSpim The MIPS Simulator, Algorithm Development, Reentrant Functions, Exception Processing, A Pipelined Implementation, Embedded Processors.

Author(s): Computer Science Department, California State University, Chico, California

109 Pages

Introducing ARM assembly language

This page covers the following topics related to ARM assembly language :ISA varieties, ARM assembly basics, A simple program: Adding numbers, Another example: Hailstone sequence, Another example: Adding digits, Summary of instructions so far, Condition codes, Basic memory instructions, Addressing modes, Initializing memory, Multiple-register memory instructions.

Author(s): Carl Burch, Hendrix College

NA Pages

Assembly Language Programming by Richard Pawson

This PDF covers the following topics related to Assembly Language Programming : Fundamentals of assembly language, Introduction to assembly language and ARMlite, Countdown, Matchsticks, Hangman, Indirect & Indexed addressing, The System Stack, and Subroutines, Interrupts, Snake.

Author(s): Richard Pawson, Peter Higginson

79 Pages

Lecture Notes in Assembly Language by Piotr Fulmanski

This note explains the following topics: Simple assembler, Pre-x86 age &

Author(s): Piotr Fulmanski

148 Pages

Machine Learning Practice Lectures

This lecture note covers the following topics: Server Configuration, Python Overview, Pandas and Numpy, Classifiers, Regression, Cross-Validation, Logistic Regression, Support Vector Machines, Decision Trees, Ensemble Methods, Principal Component Analysis, Embedding Methods, Clustering, Semi-Supervised Learning.

Author(s): Andrew H. Fagg

NA Pages