AM8530 datasheet(175/194 Pages) AMD

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SCC Application Notes

AMD

7–26

PA16R4

PAL DESIGN SPEC

PAT 002

JOE BRICH 9 SEPT 83

68000 TO 8500 OR 9500 PERIPHERALS

ADVANCED MICRO DEVICES

CLOCK

/CS

/LDS

/WO

/AS

FCO FC1

FC2 GND

/OE

/INTA

/ACK

/DLDS

/RD

/WR

VCC

A := A*/B + B *C + /AS

B := A*/C + /A*C + /AS

C := /A*/B*AS + B*C*AS

DLDS := LDS

RD = LDS*DLDS*RW*/INTA + /INTA*/A*/B*C*WO + INTA*/B*A + ACK * LDS

DESCRIPTION

THIS PAL DEVICE INTERFACESN 85XX TYPE PERIPHERALS TO THE 68000

MICRO PROCESSOR.

IT INSERTS 1 OR 2

WAIT STATES AS SELECTED BY

/WO = 0 IS ONE AND /WO = 1 IS TWO WAIT STATES.

FOUR WAIT STATES

ARE INSERTED DURING THE INTERRUPT ACKNOWLEDGE CYCLES.

ALSO THE

RD OUTPUT GENERATED DURING INTA IS A FUNCTION OF THE INTERNAL

STATE MACHINE AND NOT A FUNCTION OF LDS.

OE CAN BE LEFT OPEN

SINCE THE FLIP–FLOP OUTPUTS ARE NOT USED DIRECTLY.

THE FALLING

EDGE OF RD IS DELAYED IN ORDER TO GUARANTEE THE CS TO RD SETUP

TIME REQUIREMENTS.

Figure 7–16. PAL Equations

7.6

Am7960 AND Am8530H APPLICATION

7.6.1

Distributed Data Processing Overview

The changing data-processing environment has created attractive opportunities for dis-

tributed processing, encouraging both users and vendors to support the concept. Distrib-

uted processing provides either functional or geographical dispersion while integrating the

dispersed parts into a coherent system.

The main advantages of distributed processing power are:

a. Efficiency—

Specialized machines perform their functions in an efficient manner. Large,

centralized systems are often multi-tasked and they do not necessarily perform all the

functions with equal efficiency.

b. Low Cost—

A less complex computer, or other forms of distributed intelligence, is required.

ii. It simplifies certain applications where only data accessing is required.

c. Control—

Users have control of most of the computing power in the system organization.

d. Unlimited Access—

Distributed processing power allows the user greater access to the machine operating

system and hardware. In large, centralized systems, very few users are allowed to

access the mainframe’s operating system and hence cannot take full advantage of all

the computer’s power.

e. Response Time—

Local processing eliminates the relatively slow common-carrier lines in favor of high-

speed channels. Distributed processing can improve response time for certain

applications that can be partitioned for simultaneous execution in parallel on multiple,

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