Transcript The Education of a Computer

Advanced Computer
Architectures
– HB49 –
Vincenzo De Florio
K.U.Leuven / ESAT / ELECTA
© V. De Florio
KULeuven 2002
Basic
Concepts
Computer
Design
Computer
Architectures
For AI
Computer
Architectures
In Practice
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Advanced Computer Architectures
• The domain of A.C.A. groups
technological and design solutions
that allow to provide, today,
a better answer
to the set of design goals
• Better = joint & improved
• Which design goals ?
© V. De Florio
KULeuven 2002
Basic
Concepts
Computer
Design
Computer
Architectures
For AI
Computer
Architectures
In Practice
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Advanced Computer Architectures
• Design goals of ACA include
•
•
•
•
•
•
Performance
•
Price
•
Dependability
•
Safety
•
Real-timeliness •
Application•
specific tailoring•
Power consumption
Size
Standard compliancy
Scalability
Security
Embedding issues
Scheduling
© V. De Florio
KULeuven 2002
Basic
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Computer
Design
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For AI
Computer
Architectures
In Practice
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Advanced Computer
Architectures: aims & contents
• Introducing the basic concepts behind
ACA
• Discussing the path that has brought to
current technological and design
solutions
• Current computer design problems,
techniques, solutions
• Advanced solutions – domain specific,
parallelisms, trends…
• AI-specific ACA
© V. De Florio
KULeuven 2002
Basic
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In Practice
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Advanced Computer Architectures:
Goals of the course
• Give insight in the structure of modern
computer systems
• Understand current trends in the field of
computer design
• Teach how to consider the best match
between an (AI) problem and a computer
architecture
• Enable to use architectural knowledge to
optimise a service’s
 Execution speed
 Timeliness
 Dependability
 ...
© V. De Florio
KULeuven 2002
Basic
Concepts
Course books
• Mandatory:
 None.
• References:
Computer
Design
Computer
Architectures
For AI
Computer
Architectures
In Practice
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 Computer Architectures: A Quantitive Approach
(2nd edition)
David A. Patterson, John L. Hennessy
Morgan Kaufmann Publishers, 1996, ISBN 155860-329-8
 Third edition is available, though currently the
course focusses on 2nd
 Advanced Computer Architectures: A design
space approach
Dezsö Sima, Terence Fountain, Péter Kacsuk,
Addison-Wesley, 1997, ISBN 0-201-42291-3
© V. De Florio
KULeuven 2002
Powerpoint slides
Basic
Concepts
Slides can be fetched from
http://www.esat.kuleuven.ac.be/~deflorio/aca
Computer
Design
Slides are going to be updated
during the course
Computer
Architectures
For AI
Computer
Architectures
In Practice
1/8
© V. De Florio
KULeuven 2002
Basic
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Computer
Design
Computer
Architectures
For AI
Computer
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In Practice
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Exercises and laboratory sessions
• Under rethinking
• How to make use of a parallel
architecture...
• ...to reach a higher performance /
dependability / ...
• ...using C and a message passing
system...
• on a cluster of workstations.
© V. De Florio
KULeuven 2002
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In Practice
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Exam
• Oral with written preparation of 2 hours
approx.
• Closed book!
• Possible questions, e.g.
 Given a specific AI problem and a set of design
goals, sketch a computer architecture that
matches them. Justify your choice.
 Given a sketch of a computer architecture,
comment on the pros and cons of it from
different viewpoints (performance,
dependability, match with certain classes of AI
problems…)
 Reply to some questions
 Solve some exercises
 See example on web page
© V. De Florio
KULeuven 2002
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For AI
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Course contents
Basic Concepts
• Computer Design
• Computer Architectures for AI
• Computer Architectures in Practice
© V. De Florio
KULeuven 2002
Basic
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Computer
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Computer
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For AI
Computer
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In Practice
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Basic Concepts
• Computer history
• Virtual machines
© V. De Florio
KULeuven 2002
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Computer
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For AI
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Basic Concepts
• Computer history
 Generation
 Generation
 Generation
 Generation
 Generation
 Generation
-1: The early days (…-1642)
0: Mechanical (1642-1945)
1: Vacuum tubes (1945-1955)
2: Discrete transistors (1955-1965)
3: Integrated circuits (1965-1980)
4: VLSI (1980-?)
• Virtual machines
© V. De Florio
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Basic Concepts
• Computer history
 Generation
 Generation
 Generation
 Generation
 Generation
 Generation
-1: The early days (…-1642)
0: Mechanical (1642-1945)
1: Vacuum tubes (1945-1955)
2: Discrete transistors (1955-1965)
3: Integrated circuits (1965-1980)
4: VLSI (1980-?)
• Virtual machines
© V. De Florio
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In Practice
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Generation -1: The early days
(…-1642)
• Calculation was a need since the early days for
transactions and maintaining inventories
• Early man counted by means of matching one set
of objects with another set (stones and sheep).
The operations of addition and subtraction were
simply the operations of adding or subtracting
groups of objects to the sack of counting stones
© V. De Florio
KULeuven 2002
Generation -1: The early days
(…-1642)
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= have the same cardinality
= same number of elements
= represent the same number!
© V. De Florio
KULeuven 2002
Basic
Concepts
Generation -1: The early days
(…-1642)
A
B
B
Computer
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In Practice
Representation
of number “2”
Representation
of number “1”
Representation
of number “3”
Procedure: put the contents of sack A into sack B
Result: sack B now contains …
Call this manual procedure: “addition of integer numbers”
1/17
© V. De Florio
KULeuven 2002
Basic
Concepts
Computer
Design
Generation -1: The early days
(…-1642)
Key aspect:
• manipulating shells, one can
manipulate numbers…
• and perform simple computations
(additions, subtractions…)
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• Very simple, error-prone computations
• Taking the time needed by objects
manipulation (quite slow)
© V. De Florio
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Generation -1: The early days
(…-1642)
• Early counting tables, named abaci, not only
formalized this counting method but also
introduced the concept of positional notation that
we use today.
© V. De Florio
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1/20
Generation -1: The early days
(…-1642)
• Only much later, counting became an abstract
process and numbers were represented by strings
of written characters called digits.
• New manual procedures could be applied on these
strings
• This allowed for computing on … papyrus.
111 –
010 =
101
• A little more complex computations
• Still manual, though a little faster to
execute
• Still error prone
© V. De Florio
KULeuven 2002
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Generation -1: The early days
(…-1642)
• In the twelfth century
Muhammad ibn Musa
Al'Khowarizmi
developed the concept
of a written process to
be followed to achieve
some goal, and
published this in a
book: hence the word
algorithm
© V. De Florio
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Generation -1: The early days
(…-1642)
• For many years, “The” problem was:
• How to perform
A given algorithm
In a mechanical (non-manual) way,
Possibly faster than a man could do,
Possibly with less mistakes?
• For even more years computing just meant
“being able to perform arithmetical
operations”
© V. De Florio
KULeuven 2002
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Generation -1: The early days
(…-1642)
• Codex Madrid - Leonardo Da Vinci (1500)
 Drawing of a mechanical calculator...
© V. De Florio
KULeuven 2002
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Basic Concepts
• Computer history
 Generation
 Generation
 Generation
 Generation
 Generation
 Generation
-1: The early days (…-1642)
0: Mechanical (1642-1945)
1: Vacuum tubes (1945-1955)
2: Discrete transistors (1955-1965)
3: Integrated circuits (1965-1980)
4: VLSI (1980-?)
• Virtual machines
© V. De Florio
KULeuven 2002
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For AI
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Architectures
In Practice
1/25
Generation 0: Mechanical
(1642-1945)
• Blaise Pascal, son of a tax collector, created in
1642 an adding machine with automatic carries
from one position to the next
• Addition was achieved by the underlying gears
turning as each digit was dialed in, the cumulative
total being displayed in a window above the
"keyboard”: mechanical, fixed (hardwired) algorithm
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• An algorithm (actually, a single one!) was
computable
Mechanically (with minimal
intervention of the user)
Slightly faster than a man could do,
With less mistakes
• Computing  “being able to perform
arithmetical operations”
• Numbers were represented onto
quadrants (positional notation)
© V. De Florio
KULeuven 2002
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1/27
Generation 0: Mechanical
(1642-1945)
• Joseph-Marie Jacquard invented in 1801
an automatic loom using punched cards
for the control of the patterns in the
fabrics
© V. De Florio
KULeuven 2002
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1/28
Generation 0: Mechanical
(1642-1945)
• The machine performed according to a
fixed scheme
• The output was a function of a “program”
written onto punched cards
• Algorithms in software: First example of
a general purpose machine (for looming ;-)
• Mechanical, faster, less mistakes
• Allowed to create very complex fabrics at
low cost
• Unfortunately, Jacquard’s genial invention
was regarded as threatening jobs in the
cloth trade…
© V. De Florio
KULeuven 2002
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Generation 0: Mechanical
(1642-1945)
• Charles Babbage
recognized in 1822
that most navigation
tables contained lots
of errors leading to
the loss of ships.
• He applied to the
British Government
for assistance, and
received the first
government grant for
computer research
© V. De Florio
KULeuven 2002
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Generation 0: Mechanical
(1642-1945)
© V. De Florio
KULeuven 2002
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1/31
Generation 0: Mechanical
(1642-1945)
• “I wish these calculations had been
executed by steam.”
• Babbage designs the Difference Engine to
compute, quickly and reliably, the entries
in navigation tables
• An application-specific hard-coded
machine
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• Despite the grant from the British
government, Babbage never actually built
up its machine
• From 1832 he devoted all his energies and
all his money to a more ambitious
machine…
• Several years later, the Swedish Georg
Scheutz, on the basis of Babbage’s
publications, built a Difference Engine
© V. De Florio
KULeuven 2002
Basic
Concepts
Computer
Design
Generation 0: Mechanical
(1642-1945)
• “The science of mathematics is becoming
too large in its parts to be fully dominated
by human intellect. The time is
approaching when its entire executable
part shall be appointed to the unfailing
power of mechanism.”
(Babbage’s letter to the king of Sweden, 1856)
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© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• Scheutz machine: completed in 1853
• Gold medal, Paris Exposition, 1855
• Sold to the Dudley Observatory in 1856
 Not without consequences!
 …director at Dudley got fired!
• Two sources:
• http://cdl.library.cornell.edu/cgibin/moa/moa-cgi?notisid=ABS18210002&byte=17574886
• Also available in
http://www.esat.kuleuven.ac.be/
~deflorio/aca/MaB*.gif
© V. De Florio
KULeuven 2002
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Generation 0: Mechanical
(1642-1945)
"The Swedish Calculating Machine [..] Our
readers will, of course, understand that the
machine is not self-acting. It does not give
logarithms, for example, merely for saying,
`Good machine, we want logarithms.’ It
must be fed both with manual power and
with calculation. The seed must be
according with the harvest wanted; men do
not grow figs or thistles, even in a
calculating machine. But the return is
greater than in most harvests; a very little
calculation makes the machine do an
enormous quantity of result by help of
barrel-organ exercise.”
“Calculating by Machinery”, The
Manufacturer and Builder, Vol. 2, No. 8, pp.
225-227, Aug. 1870.
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
“This machine […] solves equations of 4th and even
greater degree; operates in any numerical system
[…] The scientists, boosting their computation
capabilities as a miracle of natural law, will be soon
taken over by a simple machine that, under the
nearly blind guidance of a common man and by
means of custom movement, is going to dig the
infinite outer space with a security and depth way
greater than that of scientists.
Any man able to formulate a problem and having at
his disposal Mr. Scheutzs’ machine will have no need
for Archimedes’, Newtons, or Laplaces […] This
quasi-intelligent machine not only computes in a few
seconds what normally would require hours; it also
prints the obtained results, adding the advantages
of a neat calligraphy to those of computations with
no chance for errors.”
(Brisse, 1875, on the Scheutz machine)
© V. De Florio
KULeuven 2002
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Generation 0: Mechanical
(1642-1945)
• Babbage’s new machine was the so-called
Analytical Engine
• This new machine is indeed the first
“computer” as we intend it today
• A programmable device whose structure
resembles the one of modern computers
• Despite he spent most of his money and
energies on the development of the new
machine, Babbage was not able to
succeed  for the same reason, eg,
Leonardo could not actually realize many
of his designs: technology was not
enough mature yet
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• Structure of the Analytical Engine
 Input organs (to input data and code!)
 Output organs
• The Store, where data and code are
stored
• The Mill (arithmetical unit), to execute
arithmetical operations
• The Control Unit, to impose a given
sequence to the operations
• Uses punched cards
• 1 addition in 3’’, 1 mul/div in 2’ to 4’
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• A fully compliant A.E. was built in 1989-91 making
use of the original Babbage’s designs
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• Ada Augusta King,
Countess of
Lovelace, may be
considered as “the
first programmer:”
She wrote the first
programs for
Babbage’s
Analytical Engine
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• “The limits of arithmetic[al computations]
had been overcome the same moment the
[Jacquard’s] idea of using cards had
come to light, and the Analytical Machine
has actually nothing in common with the
“calculating machines”. Having allowed
machinery to mutually combine strings of
general symbols [opcodes] in series of
unlimited variety and length [the software
programs], a logic link [a homomorphism]
is established between material actions
and those abstract mental processes that
pertain to the most abstract branch of
mathematical sciences.”
Ada Lovelace, 1842
© V. De Florio
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Interlude
• That is
 No more simple arithmetical operations
 No more single, predefined (set of)
computations
 No more manual or semi-manual use
 No more the human error rate
 No more the human computing speed
 “Strings of general symbols arranged into
series of unlimited variety and length.”
A noteworthy example: DNA
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• “[…] So a new, vast and powerful
language has been developed […] such
that humanity will benefit from practical
applications becoming faster and more
precise than it was possible so far.
• To our knowledge, no machine like the
Analytical Engine exists or has ever been
imagined as a practical endeavor, the
same way nobody could ever imagine a
thinking machine.”
(cited reference)
© V. De Florio
KULeuven 2002
Basic
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Design
Generation 0: Mechanical
(1642-1945)
• Analytical Engine Java Applet Simulator:
 http://www.fourmilab.ch/babbage/applet.html
• Analytical Engine Command-line
Emulator:
 http://www.fourmilab.ch/babbage/cmdline.html
• Excerpts from Babbage’s autobiography
 http://www.fourmilab.ch/babbage/contents.html
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© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• 1936: Alan M. Turing defines a model of
universal computability with his “Turing
Machine”
• A simple machine: complexity required to
compute any function is all in its software
• ‘‘The importance of the universal machine
is clear. We do not need to have an infinity
of different machines doing different jobs.
A single one will suffice. The engineering
problem of producing various machines for
various jobs is replaced by the office work
of programming the universal machine to
do these jobs.’’
(Turing, “Intelligent Machinery”)
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• The increasing population in the US, and the
demands of Congress to ask more questions in
each census, was making the processing of the
data a longer and longer process.
• It was anticipated that the 1890 census data
would not have been processed before the 1900
census was due – unless something was done to
improve the processing methodology.
• Herman Hollerith won the competition for the
delivery of data processing equipment to assist in
the processing of the data from the 1890 US
Census
• The company he founded, Hollerith Tabulating
Company, eventually became one of the three that
composed the Calculating-Tabulating-Recording
(C-T-R) company in 1914, eventually renamed as
IBM in 1924.
© V. De Florio
KULeuven 2002
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Generation 0: Mechanical
(1642-1945)
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• Konrad Zuse, in Berlin, Germany, developed in
1935 his Z-1 computer in his parent's living room,
a relay computer, using binary arithmetic.
• Instruction cycle time: 6 seconds (0.17 Hz)
© V. De Florio
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Generation 0: Mechanical
(1642-1945)
• The first large scale, automatic, general purpose,
electromechanical calculator was the Harvard
Mark I (AKA IBM Automatic Sequence Control
Calculator [ASCC]) conceived by Howard Aiken in
the late 1930’s
• The ASCC was not a stored program machine but
instead was driven by a paper tape containing the
instructions.
© V. De Florio
KULeuven 2002
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Generation 0: Mechanical
(1642-1945)
• Grace Murray Hopper found the first computer bug
beaten to death in the jaws of a relay. She glued it
into the logbook of the computer and thereafter
when the machine stopped (frequently) she told
Howard Aiken that they were "debugging" the
computer.
Numbered pages
for USA patents
Computer
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In Practice
Lab book!!
1/52
© V. De Florio
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Basic Concepts
• Computer history
 Generation
 Generation
 Generation
 Generation
 Generation
 Generation
-1: The early days (…-1642)
0: Mechanical (1642-1945)
1: Vacuum tubes (1945-1955)
2: Discrete transistors (1955-1965)
3: Integrated circuits (1965-1980)
4: VLSI (1980-?)
• Virtual machines
© V. De Florio
KULeuven 2002
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1/54
Generation 1: Vacuum tubes
(1945-1955)
• Work on ENIAC
was started in
1943 by John
Mauchly (left)
and J. Presper
Eckert
© V. De Florio
KULeuven 2002
Generation 1: Vacuum tubes
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•
•
•
1/55
18000 vacuum tubes, 1500 relays, 30 ton, 140 kW, 20 registers
of 10 decimal digits
Programmed via 6000 multi-choice switches and tons of wires
“In the future computers will weigh at most 1.5 ton”
(Popular Mechanics, 1949)
© V. De Florio
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Generation 1: Vacuum tubes
• A report on the ENIAC activity gives an
idea of how dependable computers were
in 1947:
• “Power line fluctuations and power
failures made continuous operation
directly off transformer mains an
impossibility […] down times were long;
error-free running periods were short […]
After many considerable improvements,
still trouble-free operating time remained
at about 100 hours a week during the last
6 years of the ENIAC's use.”
• I.e., an availability of about 60%!
Martin Weik, "The ENIAC Story", ORDNANCE –
The Journal of the American Ordnance
Association, Jan-Feb. 1961, available at URL
http://ftp.arl.mil/~mike/comphist/eniac-story.html
© V. De Florio
KULeuven 2002
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1/57
Generation 1: Vacuum tubes
• In 1946, John von Neumann realized the stored
program machine: the program was not anymore
stored in switches and wires or on punched paper,
but in program memory
• He designed a computer architecture consisting
of a controller, an ALU with accumulator and a
program/data memory, and used binary
arithmetics instead of decimal arithmetics
• Today’s computers still have this von Neumann
architecture (that actually derives from
Babbage’s, Zuse’s etc)
• He lay the foundation for the “von Neumann
bottleneck”, i.e. the bottleneck between the
memory and the rest of the computer; all newer
designs have been focussing on removing this
bottleneck
© V. De Florio
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1/58
Generation 1: Vacuum tubes
• In 1948, the first stored program machine was
operational at the University of Manchester: the
Manchester Mark I http://www.computer50.org/mark1/MM1.html
© V. De Florio
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1/59
Generation 1: Vacuum tubes
• In 1951, the Whirlwind computer was the first to
employ magnetic core memories, a principle that
is popping up recently again (MRAM), but then in
integrated form
© V. De Florio
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1/60
Generation 1: Vacuum tubes
• A magnetic core, storing 256 bits
© V. De Florio
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1/61
Interlude
• Yet another data representation
• Numbers are now represented in a
magnetic core
• How good are these representations w.r.t.
the “old ones”, e.g., on paper?
+ They are good for faster processing,
though…
- …can only be used to represent a small
(actually, finite!) set of numbers
- Rational numbers, such as
1/3 = 0.3333….  R-Q,
can be easily expressed on paper,
but cannot be captured by standard
computer data types!
1/3  [0.3…33, 0.3…34]
© V. De Florio
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1/62
Interlude
- Due to physical properties of the
representation, magnetic contents may
be damaged or lost!
 Each representation brings in some pros
and some cons.
 An important design choice!
© V. De Florio
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1/63
Generation 1: Vacuum tubes
• John von Neumann in 1952 with his new machine
© V. De Florio
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1/64
Generation 1: Vacuum tubes
• Grace Hopper took up the concept of reusable
software in her 1952 paper entitled "The
Education of a Computer", (Proc. ACM Conference,
reprinted Annals of the History of Computing Vol.
9, No.3-4, pp. 271-281) in which she described the
techniques by which a computer could be used to
compile pre-written code segments to be
assembled into programs in correspondence with
codes written in a high level language -- thus
describing the concept of a compiler, and the
general concept of language translation.
• Similar to Turing’s “tables”
© V. De Florio
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1/65
Generation 1: Vacuum tubes
• In 1954, John Backus of IBM developed a
programming language that allow(ed)|(s) users to
express their problems in commonly understood
mathematical formulae: FORTRAN
• The first FORTRAN compiler consisted of 2000
punched cards (2000 lines of – undocumented –
code)
• Still most scientific programs are written in
FORTRAN
© V. De Florio
KULeuven 2002
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1/66
Basic Concepts
• Computer history
 Generation
 Generation
 Generation
 Generation
 Generation
 Generation
-1: The early days (…-1642)
0: Mechanical (1642-1945)
1: Vacuum tubes (1945-1955)
2: Discrete transistors (1955-1965)
3: Integrated circuits (1965-1980)
4: VLSI (1980-?)
• Virtual machines
© V. De Florio
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In Practice
1/67
Generation 2: Discrete transistors
(1955-1965)
• William Shockley, John Bardeen, and Walter
Brattain invent in 1947 the "transfer resistance"
device, later to be known as the transistor
© V. De Florio
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1/68
Generation 2: Discrete transistors
(1955-1965)
• In 1955, IBM unveiled its IBM704, a mainframe
computer using discrete transistors, connected to
several dumb terminals
• The idea of central computer centers with
distributed data input and output was born
• First machine with floating point logic (5 kFlops,
clock: 300 kHz)
© V. De Florio
KULeuven 2002
Basic
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In Practice
1/69
Basic Concepts
• Computer history
 Generation
 Generation
 Generation
 Generation
 Generation
 Generation
-1: The early days (…-1642)
0: Mechanical (1642-1945)
1: Vacuum tubes (1945-1955)
2: Discrete transistors (1955-1965)
3: Integrated circuits (1965-1980)
4: VLSI (1980-?)
• Virtual machines
© V. De Florio
KULeuven 2002
Basic
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In Practice
1/70
Generation 3: Integrated circuits
(1965-1980)
• In 1958, Jack St. Clair Kilby of Texas Instruments
(Nobel prize physics, 2000) conceived and proved
his idea of integrating one transistor with
resistors and capacitors on a single
semiconductor chip (size: half paper clip), which
is a monolithic IC: a phase shift oscillator.
© V. De Florio
KULeuven 2002
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1/71
Generation 3: Integrated circuits
(1965-1980)
• In 1961, Fernando Corbató, MIT, produced CTSS
(Compatible Time Sharing System) for the IBM
7090/94, the first effective time-sharing system
and hence the first real operating system
• In Great Britain the Atlas computer at the
University of Manchester became operational
(1962); it is the first machine to use virtual
memory and paging (see later on); its instruction
execution was pipelined (see later), and it
contained separate fixed- and floating-point
arithmetic units, capable of approximately 200
kFLOPS.
© V. De Florio
KULeuven 2002
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1/72
Generation 3: Integrated circuits
(1965-1980)
• On April 7, 1964 IBM announced its System/360,
the first IBM family of compatible machines.
© V. De Florio
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1/73
Generation 3: Integrated circuits
(1965-1980)
• While some companies
were developing bigger
and faster machines,
Digital Equipment
Corporation introduced
the PDP-8 in 1965, the
first TRUE
minicomputer.
• The PDP-8 had a
minuscule instruction
set and a primitive
micro-language, and
excellent interface
capability. Thus the
PDP-8 became used
extensively as a
process control system
© V. De Florio
KULeuven 2002
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Architectures
In Practice
1/74
© V. De Florio
KULeuven 2002
Basic
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Design
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For AI
Computer
Architectures
In Practice
1/75
Basic Concepts
• Computer history
 Generation
 Generation
 Generation
 Generation
 Generation
 Generation
-1: The early days (…-1642)
0: Mechanical (1642-1945)
1: Vacuum tubes (1945-1955)
2: Discrete transistors (1955-1965)
3: Integrated circuits (1965-1980)
4: VLSI (1980-?)
• Virtual machines
© V. De Florio
KULeuven 2002
Basic
Concepts
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Design
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Architectures
For AI
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Architectures
In Practice
1/76
Generation 4: VLSI (1980-?)
• In 1971, Ted Hoff produced the Intel 4004 in
response to the request from a Japanese
company (Busicom) to create a chip for a
calculator. It is the first microprocessor, i.e. the
first processor-on-a-chip (2400 TOR)
© V. De Florio
KULeuven 2002
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1/77
Generation 4: VLSI (1980-?)
• Developers Edward Roberts, William Yates and
Jim Bybee spent 1973-1974 to develop the MITS
Altair 8800, the first personal computer.
• Priced $375, it contained 256 bytes of memory,
had no keyboard, no display, and no auxiliary
storage device.
• Later, Bill Gates and Paul Allen wrote their first
product for the Altair – a BASIC compiler
© V. De Florio
KULeuven 2002
Basic
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Design
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Architectures
In Practice
1/78
Generation 4: VLSI (1980-?)
• IBM entered the field in 1981 with the IBM "PC”,
equipped with the DOS operating system,
developed under an agreement that gave
Microsoft all the profits in exchange for the
development costs having been borne by
Microsoft.
• Disregarding CP/M that had been the choice for
earlier machines, IBM chose to go in a radically
different direction, on the marketing assumption
(that turned out to be correct) that the purchasers
of the PC were a different breed than those who
were prepared to build their own system from a
kit.
© V. De Florio
KULeuven 2002
Basic
Concepts
Generation 4: VLSI (1980-?)
• In 1984, Xerox PARC (Palo Alto Research Center)
presented the Alto, a desktop workstation with a
novel user interface: windows, icons, mouse
Computer
Design
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For AI
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Architectures
In Practice
1/79
First mouse
© V. De Florio
KULeuven 2002
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Architectures
In Practice
1/80
Generation 4: VLSI (1980-?)
• In 1986, the Cray-XMP supercomputer with 4
processors reached a peak performance of 840
MFlops. It was water-cooled.
© V. De Florio
KULeuven 2002
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1/81
Generation 4: VLSI (1980-?)
• The same performance has been reached in a PC
by a single chip, the Pentium III, in Q1 2000
© V. De Florio
KULeuven 2002
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1/82
Summarizing: Computing Era:
A series of “revolutions”
 19th Century - 40ies: MECHANICAL
 “I wish these calculations had been executed by
steam” (Babbage)
 (40ies-50ies): New meaning for the word “computer”.
VACUUM TUBES. ENIAC, 30 tons.
 “In the future computers will weigh at most 1.5
ton” (Popular Mechanics, 1949)
 (50ies-60ies): Concept of compiler, high level
language, virtual machines. Fortran. MAINFRAMES.
Punched cards and primitive terminals
 (60ies-70ies): OS, Virtual Memory, Pipelining.
MINICOMPUTERS. DEC PDP8. Terminal, keyboard,
display
 (80ies): PERSONAL COMPUTING. XEROX Alto.
Windows, mice, icons. VLSI. The mC. RISC. OBJECTORIENTATION
 (90ies-current): The web. Global awareness (Y2K).
The “WIRELESS REVOLUTION”. Hand-held devices.
MOBILE PROGRAMS. Battery-awareness…
© V. De Florio
KULeuven 2002
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1/83
Interlude –
the key actors in the play
• Structure of the
Analytical Engine
 Input organs (to input
data and code!)
 Output organs
Data
inputs
Data path
Data
output
Control
Status
• The Store, where data
signals
signals
and code are stored
Control
Contro
• The Mill (arithmetical inputs
output
unit), to execute
Controller
arithmetical
operations
Instruction
Address
• The Control Unit, to
impose a given
Program
sequence to the
memory
operations
• Structure of
microprocessors
© V. De Florio
KULeuven 2002
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1/84
Virtual machines
• Computer history
Virtual machines
© V. De Florio
KULeuven 2002
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The concept of virtual machines
• Reminder: basic structure of a
microprocessor
Data
inputs
Control
signals
Control
inputs
Data path
Controller
Instruction
Status
signals
Control
outputs
Address
Program
memory
1/85
Data
outputs
© V. De Florio
KULeuven 2002
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1/86
The concept of virtual machines
• Operation:
 The controller receives an instruction in binary
form from its program memory
 For each instruction, it traverses a state
diagram where each transition is determined
by bits of the instruction and status signals
from the data path
 In each state, the controller sends control
signals to the components of the data path
© V. De Florio
KULeuven 2002
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1/87
The concept of virtual machines
• How powerful do we choose an
instruction?
 The richer the instruction, the more difficult
the controller becomes
 The poorer the instruction, the more difficult
and tedious the art of programming becomes
 We hence want a rich programming language at
the same time with having simple instructions
© V. De Florio
KULeuven 2002
Basic
Concepts
The concept of virtual machines
• Solution:
 Multiple layers of virtual machines
• Example
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1/88
 Programmer writes in Java, which is
considered the machine language of a very rich
virtual machine (the Java Virtual Machine or
Java VM)
 The Java VM knows how to deal with complex
DTs, recursion, functions, loops, …
 This is translated in machine language for the
physical machine, which could be a RISC with
20 simple instructions
 The translation process should try to use the
possibilities of the physical machine as good
as possible (e.g. single cycle multiple bit shift
on a barrel shifter, shift for a multiplication by a
power of 2, …)
© V. De Florio
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Basic
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The concept of virtual machines
• Translation:
 Compilation
 Start with source code in high level language
 Before execution of the application starts:
translate the source code to a lower level
language (i.e. the machine language of a poorer
virtual or physical machine)
 Execute the lower level language
 The source in the high level language is not
needed at execution time anymore
 Interpretation
 Start with source code in high level language
 During execution of the application:
 read one high level instruction
 translate it into a sequence of lower level
instructions
 execute the lower level instructions
 The source is required during execution
1/89
© V. De Florio
KULeuven 2002
Basic
Concepts
The concept of virtual machines
• The translator itself consists of lower
level instructions
• Examples
 Compilation
Computer
Design
 Pascal, C, Fortran, Cobol  machine language
 Java  Java byte code
 Interpretation
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1/90
 Basic  machine language
 Java byte code  machine language
 Perl, Python, PHP3 (scripting languages) 
machine language
 machine language  micro-program instructions
(see next slide)
 micro-program instructions  state transitions
© V. De Florio
KULeuven 2002
Basic
Concepts
The concept of virtual machines
Level 5
Compilation
Level 4
Computer
Design
Intermediate machine independent
language (JAVA byte code)
Interpretation
Level 3
Computer
Architectures
For AI
Application specific language
(Java)
Assembly language
(mnemonics, variables, labels)
Compilation (assembler)
Level 2
Conventional machine
(HEX code)
Interpretation
Computer
Architectures
In Practice
Level 1
Level 0
1/92
Micro-program
Interpretation
Digital logic: state transitions of next
state FSM
© V. De Florio
KULeuven 2002
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Architectures
In Practice
1/93
An example
• Ariel: a language to specify
 Error recovery actions to be executed when
some events occur
 Example:
when task 10 is found in error
restart task 10
wakeup task 11
• This is done outside the user application
© V. De Florio
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Basic
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1/94
An example
• Ariel: application specific language (deals
with error recovery)
• Error recovery = set of guarded actions
g : a1 … aN ,
g’ : b1 … bN’ ,
...
• Refer to nodes, tasks, groups of tasks
• Guards:
 Faulty? Running? Rebooted? Isolated?
Transient?
• Actions:
 Isolate! Start! Reboot! Enable! Send! ...
© V. De Florio
KULeuven 2002
An example: Ariel: Basic ideas
Basic
Concepts
User application
Computer
Design
Error
Detection
Store
Computer
Architectures
For AI
Recovery starts
Query
Result
Computer
Architectures
In Practice
OK
1/95
DB
Recovery
application
Skip/execute
actions
Recovery ends
© V. De Florio
KULeuven 2002
Basic
Concepts
An example: Ariel: Basic ideas
• Error recovery is coded in a special
language
 Recovery language
Computer
Design
• Recovery language is translated into an
intermediate, machine independent code
 Recovery-code (r-code)
• Management of error recovery:
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1/96
 Run-time interpretation of the r-code
© V. De Florio
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Basic
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Architectures
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1/97
An example: an Ariel script
# .ariel
#
specification of a strategy in the Ariel recovery language
# include files
#
defines are importable from include files via #include statements
INCLUDE "my_definitions.h"
INCLUDE "../BACKBONE.H"
# definitions
#
definitions start with the 'DEFINE' keyword, followed
#
by an integer, an interval, or a list, followed
#
by the equal sign and a role, that may be
#
ASSISTANT(s) or MANAGER
NPROCS = 2
Define 1 = MANAGER
Define 2 = ASSISTANT
© V. De Florio
KULeuven 2002
Basic
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Design
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For AI
Computer
Architectures
In Practice
1/98
An example: an Ariel script
IF [ PHASE (T{VOTER1}) == {HAS_FAILED} AND PHASE (T2) == {OK} ]
THEN
STOP T{VOTER1}
SEND {WAKEUP} T{SPARE}
SEND {VOTER1} T{SPARE}
SEND {SPARE} T{VOTER2}
SEND {SPARE} T{VOTER3}
FI
IF [ KILLED N1 ] # if node 1 is down...
THEN
SEND 1000 T2 # send code "1000" to task 2
FI
IF [ KILLED N2 ] # if node 2 is down...
THEN
SEND 1000 T1 # send code "1000" to task 1
FI
© V. De Florio
KULeuven 2002
Basic
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1/99
An example: an Ariel script
bash-2.02$ art -s -i .ariel
Ariel translator, v2.0f 03-Mar-2000, (c) K.U.Leuven 1998, 1999, 2000.
Parsing file .ariel...
...done (158 lines in 0.030000 CPU secs, or 5266.667 lines per CPU
sec.)
Output written in file .rcode.
Intermediate-level
Press any key to finish processing...
language
© V. De Florio
KULeuven 2002
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1/100
An example of
intermediate language
Art translated Ariel strategy file: . . . .ariel
into rcode object file : . . . . . . . . . . . .rcode
line
rcode
opn1 opn2
------------------------------------------------------------------00000
SET_ROLE
1 Manager
00001
SET_ROLE
2 Assistant
00002 SET_DEFAULT_ACTION
666
00003
IF
00004
STORE_PHASE...
Thread
0
00005
...COMPARE
==
9999
00006
STORE_PHASE...
Thread
2
00007
...COMPARE
==
1
00008
AND
00009
FALSE
10
00010
KILL
Thread @line(4)
An example of
intermediate language
© V. De Florio
KULeuven 2002
Basic
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Computer
Design
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Architectures
For AI
Computer
Architectures
In Practice
line
rcode
opn1 opn2
------------------------------------------------------------------...
...
...
...
00029
IF
00030
PUSH...
0
00031
...KILLED
Node
2
00032
FALSE
3
00033
PUSH...
1000
00034
...SEND
Thread
1
00035
FI
00036
ANEW_OA_OBJECTS 1
00037
STOP
IF [ KILLED N2 ] # if node 2 is down...
…this
Ariel
fragment
THEN
SEND 1000 T1 # send code "1000" to task T1
FI
1/101
R-code
translation of
…
© V. De Florio
KULeuven 2002
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1/102
Ariel and r-code: global view
© V. De Florio
KULeuven 2002
Basic
Concepts
The concept of virtual machines
• Decisions to be taken during computer
design
 Richness of the digital logic
Computer
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1/103
 How large is the transistor budget
 How much of the budget do we spend on the
controller as opposed to the data path and the
on-chip memories (typically 10%)
 Distance between two consecutive virtual
machines
 Large distance makes it difficult for a translator
to employ all features offered by the lower level
© V. De Florio
KULeuven 2002
Basic
Concepts
The concept of virtual machines
• History of virtual machines
 before 1950: 2 levels:
 digital logic
 conventional machine
Computer
Design
 1950: 3 levels:
Computer
Architectures
For AI
 1952: 4 levels
Computer
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In Practice
1/104
 digital logic
 micro-program
 conventional machine
 digital logic
 micro-program
 conventional machine
 assembly language
© V. De Florio
KULeuven 2002
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Design
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Architectures
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Architectures
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1/105
The concept of virtual machines
• History of virtual machines
 1955: 5 levels
 digital logic
 micro-program
 conventional machine
 assembly language
 application specific language
 1965 ?: 6 levels
 digital logic
 micro-program
 conventional machine
 assembly language
 intermediate machine independent language
 application specific language