Presentation is loading. Please wait.

Presentation is loading. Please wait.

Laboratorio di Calcolo I Docente: prof. Berardi (Dip. Informatica) Lezione introduttiva su Computing ed esercitazioni di Unix/Linux tenute da Fabrizio.

Similar presentations


Presentation on theme: "Laboratorio di Calcolo I Docente: prof. Berardi (Dip. Informatica) Lezione introduttiva su Computing ed esercitazioni di Unix/Linux tenute da Fabrizio."— Presentation transcript:

1 Laboratorio di Calcolo I Docente: prof. Berardi (Dip. Informatica) Lezione introduttiva su Computing ed esercitazioni di Unix/Linux tenute da Fabrizio Bianchi (saro’ il vostro docente di Laboratorio di Calcolo II) Lezioni “teoriche” tutti insieme Esercitazioni individuali al computer

2 Textbook & Slides Trasparenze in: www.to.infn.it/~bianchi/LaboratorioCalcoloI/ *.ppt versione power point *.pdf versione Acrobate Reader Per la stampa usare la versione pdf

3 What is Programming? A sequence of statements that instruct a computer in how to solve a problem is called a program. The act of designing, writing and maintaining a program is called programming. People who write programs are called programmers.

4 What kinds of statements do computers understand? A computer only understands machine language statements. A machine language statement is a sequence of ones and zeros that cause the computer to perform a particular action, such as add, subtract, multiply,...

5 Machine Language (ML) ML statements are stored in a computer’s memory, which is a sequence of switches. For convenience of representation, an “on” switch is represented by 1, and an “off” switch is represented by 0. ML thus appears to be binary (base-2): 0010111010110101

6 Early Computers... required a programmer to write in ML... –Easy to make mistakes! –Such mistakes are hard to find! –Not portable -- only runs on one kind of machine! Programming was very difficult!

7 A Bright Idea Devise a set of abbreviations (mnemonics) corresponding to the ML statements, plus a program to translate them into ML. The abbreviations are an assembly language, and the program is called an assembler. Assembler 0010111010110101ADD

8 Assembly Languages Allowed a programmer to use mnemonics, which were more natural than binary. +Much easier to read programs +Much easier to find and fix mistakes –Still not portable to different machines

9 High Level Languages Devise a set of statements that are close to human language (if, while, do,...), plus a program to translate them into ML. The set of statements is called a high level language (HLL) and the program is called a compiler.

10 HLL Compilers Where an assembler translates one mnemonic into one ML statement, a HLL compiler translates one HLL statement into multiple ML statements. Compiler 1010110011110101 0000000000010000 0010111010110101 0000000000010010 0010111011111101 0000000000010100 z = x + y;

11 HLLs High level languages (like C++) are +Much easier to read programs +Much easier to find and fix mistakes +Portable from one machine to another (so long as they keep to the language standard).

12 Objectives in Programming A program should solve a problem: +correctly (it actually solves the problem) +efficiently (without wasting time or space) +readably (understandable by another person) +in a user-friendly fashion (in a way that is easy for its user to use).

13 Summary There are “levels” to computer languages: –ML consists of “low” level binary statements, that is hard to read, write, and not portable. –Assembly uses “medium” level mnemonics: easier to read/write, but not portable. –C++ is a “high” level language that is even easier to read/write, and portable.

14 Computer Organization Hardware and Software

15 Computing Systems Computers have two kinds of components: Hardware, consisting of its physical devices (CPU, memory, bus, storage devices,...)Hardware, consisting of its physical devices (CPU, memory, bus, storage devices,...) Software, consisting of the programs it has (Operating system, applications, utilities,...)Software, consisting of the programs it has (Operating system, applications, utilities,...)

16 Hardware: CPU Central Processing Unit (CPU): –the “brain” of the machine –location of circuitry that performs arithmetic and logical ML statements –measurement: speed (roughly) in megahertz (millions of clock-ticks per second) –examples: Intel Pentium, AMD K6, Motorola PowerPC, Sun SPARC,

17 Hardware: RAM Random Access Memory (RAM) –“main” memory, which is fast, but volatile... –analogous to a person’s short-term memory. –many tiny “on-off” switches: for convenience “on” is represented by 1, “off” by 0.“on” is represented by 1, “off” by 0. –each switch is called a binary digit, or bit. 8 bits is called a byte.8 bits is called a byte. 2 10 bytes =1024 bytes is called a kilobyte (1K)2 10 bytes =1024 bytes is called a kilobyte (1K) 2 20 bytes is called a megabyte (1M).2 20 bytes is called a megabyte (1M).

18 Hardware (Disk) Secondary Memory (Disk): –Stable storage using magnetic or optical media. –Analogous to a person’s long-term memory. –Slower to access than RAM. –Examples: floppy disk (measured in kilobytes)floppy disk (measured in kilobytes) hard disk (measured in gigabytes (2 30 bytes))hard disk (measured in gigabytes (2 30 bytes)) CD-ROM (measured in megabytes),...CD-ROM (measured in megabytes),...

19 Hardware: the Bus The Bus: –Connects CPU to other hardware devices. –Analogous to a person’s spinal cord. –Speed measured in megahertz (like the CPU), but typically much slower than the CPU... –The bottleneck in most of today’s PCs.

20 Hardware: Cache While accessing RAM is faster than accessing secondary memory, it is still quite slow, relative to the rate at which the CPU runs. To circumvent this problem, most systems add a fast cache memory to the CPU, to store recently used instructions and data. (Assumption: Since such instructions/data were needed recently, they will be needed again in the near future.)

21 Hardware: Summary Putting the pieces together: CPU Bus Main Memory Secondary Memory cache Programs are stored (long-term) in secondary memory, and loaded into main memory to run, from which the CPU retrieves and executes their statements.

22 Software: OS The operating system (OS) is loaded from secondary memory into main memory when the computer is turned on, and remains in memory until the computer is turned off. RAM Disk CPU Cache Bus OS

23 Software: OS The OS acts as the “manager” of the system, making sure that each hardware device interacts smoothly with the others. It also provides the interface by which the user interacts with the computer, and awaits user input if no application is running. Examples: MacOS, Windows-98, Windows-NT, UNIX, Linux, Solaris,...

24 Software: Applications Applications are non-OS programs that perform some useful task, including word processors, spreadsheets, databases, web browsers, C++ compilers,... Example C++ compilers/environments: –CodeWarrior (MacOS, Win95, WinNT, Solaris) –GNU C++ (UNIX, Linux) –Turbo/Borland C++ (Win95, WinNT) –Visual C++ (Win95, WinNT)

25 Software: User Programs Programs that are neither OS programs nor applications are called user programs. User programs are what you’ll be writing in this course.

26 Putting it all together Programs and applications that are not running are stored on disk. RAM Disk CPU Cache Bus OS App

27 Putting it all together When you launch a program, the OS controls the CPU and loads the program from disk to RAM. RAM Disk CPU Cache Bus OS App OS

28 Putting it all together The OS then relinquishes the CPU to the program, which begins to run. RAM Disk CPU Cache Bus OS App

29 The Fetch-Execute Cycle As the program runs, it repeatedly fetches the next instruction (from memory/cache), executes it, and stores any results back to memory. RAM Disk CPU Cache Bus OS App That’s all a computer does: fetch-execute-store, millions of times each second!

30 Summary A computer has two kinds of components: –Hardware: its CPU, RAM, Disk(s),... –Software, its OS, Applications, and User Programs.


Download ppt "Laboratorio di Calcolo I Docente: prof. Berardi (Dip. Informatica) Lezione introduttiva su Computing ed esercitazioni di Unix/Linux tenute da Fabrizio."

Similar presentations


Ads by Google