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Welcome.

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So, in this course we're going to be
learning about computer architecture.

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And this course is an adaptation of a
course which I

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teach at Princeton University called ELE,
for, for electrical engineering, 475.

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And I'm David Wentzlaff.
I'm a professor here at Princeton.

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And my background is mostly looking at

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how to build mini core and multi-core
microprocessors.

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And in the past, I've actually built two
of the world's fastest mini-core

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microprocessors in industry, and before
that I

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worked in academia, building many core
microprocessors.

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So, about 15 years of processor design
experience.

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In today's lecture we're going to be
talking

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about introduction or some opening to what
is computer

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architecture, why do you want to learn
computer

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architecture, how it's different than
previous courses that

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you might have taken so something like a

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computer organization class or a logic
design course.

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And then we'll talk about some content
today

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which is looking at instruction set
architectures and

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how a instruction set architecture or big
A

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architecture is different than
implementation or micro architecture.

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And why its a good idea

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to split out these two ideas.

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So let's take a step back and look at the
course administration

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of this class, and how this class is going
to be organized.

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So as I said, I'm David Wentzlaff.

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this class is roughly going to be the

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equivalent of two 80 minute lectures a
week.

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So this is the same format that's used at
Princeton University for this course.

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And it's,

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we're going to try to segment into shorter
segments,

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to sort of give you bite size nuggets

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with questions and answers intermixed to
check your

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understanding as the, as the video goes
on.

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Two books that I wanted to talk about this
is the Computer

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Architecture, a Quantitative Approach by
John Hennessy and David Patterson.

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this is a very, very good book.

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if you are going to be doing computer
architecture, I highly recommend it.

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Or and it's a heavily, heavily, heavily
suggested book for this course.

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I do want to point

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out that there's a lot of different
versions of this book floating around.

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We're going to be using the fifth edition,
and you should go get the fifth edition.

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The fifth edition is very different than
the fourth edition.

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it's updated as of 2012, so it's very
fresh.

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And then, a auxiliary text, which is
useful for a portion of this class.

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I'll mention it as the Shen-Lopasti book,
is the two authors.

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Modern Processor Design and Fundamentals
of Super-scalar Processors.

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the reason we're going to use this book or
the reason we're going to I,

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I would recommend some readings out of
this book is that it has a

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lot deeper coverage of super-scalar

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processors than the computer architecture
book.

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So this, this is a great book to be to
begin with, but it doesn't

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cover how to build super-scalar processors
in great

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depth, this book goes on to do that.

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And that's something that we're going to
be talking a lot about in this course.

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A lot of the content of

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computer organization or, or traditional
computer organization

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class, I'm going to repeat.

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In the first three lectures of this
course, or

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the first three and a half lectures of
this course.

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And the reason for this is because I teach
everything from first principles.

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And once you get everyone on the same
page, but

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it's, we're going to go very, very fast
through that material.

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So, if you've not had a computer
organization

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class, it may be possible to take this
class,

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but I highly recommend taking a computer
organization class

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before this class, because this is the
second class

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in sort of a computer architecture series,

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where you'd have computer organization and
computer architecture.

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And we really do rely on the pre-reqs.

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But, if you are

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watching the first three lectures and say,
I know all

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of this, yes, that is correct, you should
know all this.

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If you don't know all this then you should
probably go back and retake

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computer organization or take a computer
organization

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class but don't drop the class if you

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take the first three lectures and say, oh,
I know all this and just,

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just leave at that point because we're

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just going to breeze through that content
very fast.

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As building from first principles.

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