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00:03 the notes to see. I don't a bit about that. Not only

00:10 do the programming of it, but are the different architectures it's or it's

00:17 a gene. You somewhere there. . And sometimes it works.

00:22 then sometimes it doesn't work so So the view's not the universal

00:31 Carol. And this is kind of computing device. You don't have things

00:38 memory accesses and streaming choice. right. So And I saw talk

00:53 and a bit of a police So one thing, the first

00:57 Why should you be interested in the before your committee? Nevertheless,

01:03 I'll give you some scope here. give application accepted Post talk a little

01:08 about Thanks. Oh, Rene Army is that science is this chemistry was

01:15 drove the development of computers for That case on engineering started to

01:25 uh, specific example slides then too ago, very much. In the

01:34 decade or so years, business intelligence starting to become money talks update on

01:43 , right? Yes, but it some time ago. A telecom companies

01:52 oh, and figure out how to pricing schemes. Do so no.

02:01 . Now there's a morning No. . So much data is digital service

02:05 or things are accessible. And I say the most recent one is not

02:12 real time applications. So I will to give examples of all of

02:16 Get something fun, right? So sudden is where things depends on

02:29 And here's my God, one of examples specific ones. And why also

02:39 actually trying to save businesses usual doesn't any more. Nuts follow. One

02:46 , goes up. I wouldn't say couple, but Intel struggles to figure

02:53 what is coming next. So, , things are changing quite a bit

03:00 terms that used to be about 30 or so. That was kind of

03:06 on the microprocessor, everything news. processors very good at it. Processing

03:15 . And for what? It's come stuff. Now things are not department

03:21 , so now there's kind of more in terms of future architecture. In

03:26 ways, the success rate use is element of it. But even on

03:31 sink there's more diversity. It's happening for that fun. The options yes

03:40 is trying to figure out what to . Yes, you may have seen

03:44 buying companies of all different kinds of where so I think it's also to

03:52 it's important moving forward things. You . So I know where there's

04:02 Chapel. So that's nothing said on like you keep on something characterized self

04:10 Car suspects the supercomputers on Well, order to do the processing,

04:17 processing, navigation, role of the of itself on its A very much

04:23 that needs to be processed. So on top? There is a super

04:28 or yours a little bit what it , Um, next. So the

04:32 on this pump your is about to courts. So one other things.

04:37 do you put two tennis courts in the car? Doesn't kind of

04:41 So you need to shrink a So that business as usual does not

04:47 . I think this computer driving these No, no, it's not

04:53 This is not just say what Okay, This kind of cape

04:59 this is what you have. The driving car it would just package in

05:03 little box in the car. How you do The other part is,

05:10 I said to, I guess you the victory about Yeah, The volume

05:15 about 700 square meters, including all infrastructure for running this computer.

05:21 that's one part, and then it to get under the hood in a

05:25 box. So then cost is another , this type of super computer.

05:35 so it's on. If you're going have it in the car, maybe

05:39 can cost 1000 bucks, but not . So there is a significant reduction

05:45 price necessary in order to get We really need that much. That's

05:50 people claim right now, whether it's enough. But that's in the notion

05:54 supercomputer. So this is Saskatchewan, example. Okay, get the scale

05:59 things that needs to happen. Something that. Yes, the energy consumption

06:03 this computer is about 10,000. The slides out wrecked, so So

06:09 you need to days saif the need reduce and is your consumption. You

06:17 to reduce costs by orders of not just, and it's supposed to

06:22 in the next few years and increased . If you can reduce the power

06:29 to work impossible to put it in car now cool. It wouldn't be

06:33 much so on in order to power kind of thing. At best,

06:40 want to agree. It takes no amount of things yester power one of

06:45 guys. So megawatts is kind of these today and that's more or less

06:55 hopes. It's a small town to us apart. It's, I

07:01 that all the competition technology rebounded. our consume. Oh yes,

07:11 no. It is for our for computing on communication is today about

07:24 of all consumption, and it grows than most. Well, number

07:33 Yes, it is. It's already design, and that's part of the

07:36 . I was right, you So this is just saying what it

07:42 take. And that's why you should to see our exchanges in, among

07:48 things, and computer architecture will come . I'll show you what that

07:53 You're smart, quantum, only about one that will happen. But you

08:00 different things about so anyone so big , and this is a little bit

08:06 get the calibration. What big day means industry talked to many academics.

08:16 talk to him, they find a big day advice or something, and

08:22 that is not much so. So I'll give you very quickly. And

08:29 not, yes, to give you . Little bit scope. What industry

08:34 . Yeah, this is just a of data in terms of what's you

08:41 information. There's a little bit, , some of the commercial of Wal

08:48 . That's a few years back, many are off. The companies that

08:53 petabytes or contents are hundreds of not talk about the unit. He's 1

09:02 is a retainer. As you that's to keep track of customer

09:07 This I love this backboard. Do like more? But this is what

09:14 have. Extend the action of squeezing out of it. Um, so

09:23 here's a few other things. Someone heard about, Uh, what's

09:31 uh, is trying to best known issues and health care this use it

09:40 to mine in some ways, or or no cut jobs, medical

09:47 in order that no sis actions. so the Knicks successes. But sometimes

09:57 has been quite successful. 20 years . So in terms of them,

10:03 records compared to human beings trying Things are start trying to extract information

10:13 in terms of what it's worth. of what it would work.

10:20 Yes, improve the efficiency in terms health care. It's serious money if

10:25 can make it that in these things , what's the little money like from

10:33 ? Yeah, it's travel. Here are. Yeah, well, it's

10:36 such a question off, you making better use of data that

10:40 um And it's not necessary. Here's one. So mammography generate sources,

10:50 of data. And here. So is, you know, kind of

10:57 city energy industry it Mrs Exploration, , someone you may end up there

11:09 to with them. So it's again of data, Davey or war.

11:16 , And they also have you no tens or even understood petabytes of

11:23 I know that again. Try to to make find out. Party should

11:28 drilling in. No, that's because depending on where you're trying to

11:35 , if you miss so Andy Ocean $3,000,000,000. So if you miss it

11:47 , fine. Right. So the will get this information and then so

11:54 the lies example of how you reduce . Yes. Yes. So

12:07 The right finger? Oh, I this especially Earth on this. I

12:17 so years. And then what? , or markets Or let you need

12:35 find old. It's best No, does. Where you Texas work Porous

12:53 that contains awarded Get the where it's giving In summer intern years we're gonna

13:15 destruction This is just so the way works Acoustic waves I closed down

13:33 You in their knowledge. So on dope has almost been There's barns full

13:53 attempts I'm all this. I speak Um, basically Ivar the bullet tips

14:01 not a real joke, I think said all the data around.

14:05 you It has been. So here's one. I think it's also but

14:12 power I want to win our companies the manufacturer is one that reduces power

14:23 sentence. So what to do you service from astrologist? What? All

14:32 of sensors out there that Mrs Waiting locations, they get historical records on

14:40 patterns and then they used to Martha of in Vince. That's what I

14:49 . And that's one aspect of the 2/4 in from of the competitions.

14:56 , of course, he also designed wind turbines patient. And then I

15:02 to do that in the this Then the also monitoring, controlled,

15:09 use. Leave the blades in such you control the generation or when

15:15 Really? Um, here's another You the monitor. So one thing

15:27 about your faction that, uh, of the they produce 6000 fan blades

15:36 your enough okay, properties of that family. That's a fact. Then

15:48 do they all say? Instrument on monitor. We have to what they're

15:58 at someone today. So giving the or what they get then they

16:04 What if it's time for us straight little. That's one thing. But

16:09 something is about to go bad, hope for the catch it before it

16:12 goes back. And not only then what to do Their best sent

16:17 tomorrow with the plane. His d'oh It's finer. Things that can repair

16:24 the plane is at some airport was to having to take it out of

16:30 , so it's pretty impressive. When you He was just another example.

16:37 Electric is another one that built turbines trains lactating and other things. So

16:45 do these things. Airbus's is one the company's in. That's it.

16:52 , in a way. But it's motor Dane. I think the next

16:55 shows a little bit. So they been collected, Um, off things

17:02 operational. Down rises, tear These are hold the line here,

17:20 version of the temple. So again instrument More, more court. Just

17:27 degree of time. Trust me to . Make it as an operation

17:33 Check the state and some of you minimize the potential out of service

17:42 Yes, yes, I guess that's nine years. So generous.

17:54 that's 15. Is that a safety just to give you a point old

18:01 , things that nobody thinks that's any rail stuff, but even they try

18:06 monitor what happens. Trying something, , trains and don't move fast.

18:14 they're trying to make sure that there's breakdown on the train. So one

18:18 the things is wear and tear and they try to monitor times.

18:23 train doesn't break down on the track clogs. So winners on this is

18:30 about when you see a lot about of the wheels somewhere. Yes,

18:39 is no developed because of him. something frequency, things that others

18:47 This should be consistent. Yeah, here's some more. Crew scheduling is

18:54 one thing that is airlines do and it also his. One thing

19:00 to do it for the week or . Storm seats whatever and planes but

19:06 and then have to reschedule things on notice both ways. Cruise planes and

19:14 . Other things is an engineering example . Degraded simulations design both the woods

19:27 in this case feet monk dying. this is from a cup you work

19:36 here, and this is a an SUV next to it, and

19:44 other things also so And you don't these, you know, every week

19:50 every month. Even so, it's of most of them are one of

19:53 kind, so it has to be once. Let's go back in,

19:58 okay, we'll fix it. So sort of a computing that needs to

20:04 done including thinking hot to transport these because it doesn't justice. Yes,

20:13 good words. And the mechanics and well attic apartments you don't want are

20:21 . The most contaminated particles come um, reactor designers, something you

20:33 as a big discussion eunuch for houses . On the other hand, it's

20:38 for him, waste product. It's , I think, in order to

20:44 things clean, there's it's protection that would need to rescind component energy.

20:54 to do good simulations of that, also highly commanding airplanes. We talked

21:01 coming back to the drinks here in of the engineering saw I speak

21:07 Yeah, shot very intensive minutes Samples are you think? Well on

21:13 train. That's real. Is it boring thing, it turns out not

21:18 be so. The curvature, it's . They're flats with kind of thing

21:24 protect this the off ramp. But curvature of the surface on right,

21:31 important other things is that happens because you joins us if you've been on

21:40 , you know, you know when current so you know otherwise, things

21:47 , seats, curves. So that's of the things to do the dynamics

21:52 control system of high speed and other is it pushes separate the good air

21:59 around it. So when two of French meat that you know before under

22:05 an hour, you don't want so a whole lot of issues,

22:11 do serious simulations. The face that's that man may not think

22:20 And here's one Procter and Gamble's. may. No anyone. Proctor.

22:29 do. All kinds of consumer goes court, so they use supercomputers and

22:38 up. But I do it for . We're going to shape to pack

22:50 , at very high speed. So takes a very particular shape. I'm

22:54 pregnant. It's not because it's supposed look good or anything that it is

22:57 shape of this. It's for them me. No, I mean,

23:02 started with shape there with a Yeah, I don't know if it's

23:10 from first. Principles are trying to read it other things that you

23:15 they do. Diaper design and other . Abscess surprising that eggs.

23:25 So that's but it's again so and things that you know a few little

23:32 . All kinds of things to give examples here. So So I

23:39 So there's something that is in the to see space people tend to used

23:46 bragging rights. You know what notes some this Oh, most powerful computers

24:00 kind of are more or less Not necessarily because parts of the government

24:06 doesn't want to tell you so is known. And this I didn't do

24:13 just because most of you probably end in the industry research up from this

24:21 . Computer savvy used. Yeah, settings go through this list there will

24:31 out that predominant it today it is weather forecasting. So you will see

24:38 bunch of netapp that offices are on go has these computers. Then there

24:47 petroleum or oil companies that tends to also some of the biggest systems.

24:51 then in a minute, a couple on this thing other parks take

24:59 So that's in terms of who gets types of computers. The other part

25:04 is important in terms of all this say terms of probably so offer manage

25:12 and this how to manage things at , both so here you see the

25:20 number? Of course, honey. of 1,000,000. Course. Want an

25:32 ? Do this off course. Then may, uh, execution St.

25:48 . Getting things to work at scale an important aspect. Oh, thank

25:53 , Esposito. Just use if you so oh. Oh, and

26:20 So, uh, these two No. Oh, these numbers are

26:28 by running your particular cold. I call it an application, but it's

26:35 I'm the ghost in the nation. , that used to be the only

26:41 that was used to right? So . And it's That's you. What

26:52 ? Okay, performance. Uh, what woman Over one. Doing it

27:09 Monday for direction. Execution. That bunch One instance for something versus

27:40 No, bring it. Course. many of these. I think our

28:03 what they're being used for. I'm usually more power. I know

28:09 most of the time it is. huh. It's all our efficiency

28:23 Where are you? Irritation. Far courses, forms. You are

28:39 Very important force don't work. Is of this measurement here in terms those

28:53 , rations? Operations? What? . Oh, you. But it's

29:15 big difference if you do it. the whole system on this Come over

29:28 heart, Get the names, Before just so this ends. Nation

30:07 , radiant methods. CS students, students. Yes, it's very simple

30:20 a little bit trickier than matrix pontification questions solvers appears required. Jackson Impression

30:30 are in science, and interviewing are court but Erica or dense major

30:39 So that's my scotch and definition of for a long time. You did

30:58 . It's over. Well, do try Thio, get some conclusions.

31:04 must have something You saw most of case that it happens, you

31:09 in Iranian darning on neural networks. somewhere in there there is a simple

31:13 operation. So So that's no No, sir, it is,

31:26 wrote, Get more insights. That's goes on in. This is a

31:31 bit of sense for the scale of that even industry does. Of

31:36 there's just not necessarily small companies. here. It's just more of the

31:41 and I can see drop a little down to this. All right,

31:48 soul young the first time it's just it up off the Internet companies showing

31:59 . They're not all this report to consumption of their systems. And then

32:05 can also see him on your Work through put systems on the hours

32:13 if your problems. This is from supposed to put systems. That's why

32:21 The same caliber off interconnect between the predicted a 15 or 20 years our

32:28 will be really important. It is asked me. Yeah, it's none

32:34 the overall conserving power. Well, started out with you at the ship's

32:45 , right? Yes. What s that's what to start waas So in

32:52 . About 15 orders from 15 years . They had to, uh What's

33:00 ? Yes. So are you doing ? Nothing was One force turned

33:06 couldn't cool, so it was about be released, and they have to

33:10 back to They release product. They're it burns too much. So

33:20 So yeah, they're over. Show slides later on. The best gives

33:27 is more of this. Our vision do what? Slower, Increasing.

33:39 , so that that is you cannot enough. That's it. So intensity

33:50 So heat density chips about 20 years . Well, it's kind of

33:55 Heat density in the nuclear reactor, ? No. So here's other

34:04 You do a medical emergency in terms computing. They want to organ

34:10 Nothing's requires. A lot of computing one of my favorites. Example

34:13 in terms of you need to do terms of and this candle and I

34:20 my cross put made. So here's you do Get my crystal mike or

34:30 out of this great nation function. the car's a free muffin computing.

34:39 you know, if you are electrical , this thing terrible. C'mon,

34:48 . And that's that's the first That's a good idea about imposing all

34:52 noise. You need to check for more responsible, what they're looking

34:57 Unfortunately, this is molecules. If do your burner, man, you

35:02 destroy this specimen. So the thing really to try to extract information?

35:08 . See pictures or images. More , clever, outward, obsessive.

35:18 more energy stuff. Couple. access of these today they do about

35:34 of about for Armstrong two, and also must measure yeah, 10 to

35:42 minus 10. 10 to the minus I'm still winning. Yes.

35:48 it's Mommy. Four 12. Yes, I know what I'm

35:56 Get this. The macro molecules are a bunch of times. I'm trying

36:02 do my word for it, It's always someone I used to see

36:11 , and it's basically and what last . And so there's probably this image

36:27 of the image it on you and ? Oh, and those are the

36:34 you used to process. Yeah, oh puts the same mama que but

36:45 government angles. You know, they align themselves nicely for you, so

36:50 don't know which angle their acts you about such island errors. Tonto

37:01 So and all right. And then other things People do simulations breathing.

37:06 here's a little bit of scale coming . You mentioned time scales, scales

37:14 range in order to do space. memo, weather prediction. The doctor

37:22 hurricanes we know about have a little . So tornado predictions is one of

37:29 things also that needs to be done accurately. Unlike hurricanes, you shall

37:37 a fair amount of time to So what? She worried not

37:44 Harvey, These hurricanes, you you may not decide to evacuate the

37:50 about something. A few 1,000,000 people the road from a small area.

37:55 is not true of exercise. And can't do that for tornado that is

38:00 a very small foot hurricane as big . Do it. But this was

38:09 nature out that has you read any hungry solution, addiction. These

38:15 they get pretty good figuring that tomato climate smuggling. You know, environmental

38:23 is picture Houston, that's not so . Yes, yes, but what

38:34 if you're lucky, like, is the same soul Part of the things

38:41 I work with a few years I work with some people in the

38:45 . You're excited department. So they up another sensors here in the Houston

38:49 , and you try to make Oh, seriously, open weather.

38:54 you can, you know, tell district exercise and breathe too much trouble

39:01 . So it's just a way of taking more of your time management

39:06 Given what it is warm, people couple exercise and jogging on. It's

39:12 a because you don't see in a are gases. I need to know

39:21 another thing Is that records lots of with fire simulations. What fire?

39:30 Woz, huh? Or a few ago. And one of the college

39:45 . You try to come in some that you do simulation fires in the

39:51 . It was no traction. Nobody . So what happened? And may

40:08 place fly at 10,000 meters out to out this morning. 10,000 meters.

40:18 , things in here. So astronomer do degenerate tons of data. The

40:29 and there are many things. So why don't you Maybe from

40:36 I know what's students You. so particle physics is one. I

40:43 know what visits you do, did ? You doing the class project?

40:52 know what? I was just your wrenches always right. What

41:13 Big, Except our intern that, ? Um, no, it's partially

41:20 . I'm partially friend. So I know if you're going to start.

41:28 . Oh, and I said that petabytes of data each year. So

41:34 is big again. And then to all the data that comes, Do

41:40 ? Which physics department is most The part science sent us. Are

41:51 to order groups just working on Uh, so, yes, I

42:03 I put miss in terms of thanks do things in real time.

42:11 it's actually beautiful. Well, I been attacking. I'm so reliable power

42:24 it turned out you did this or . Very congressman, uh,

42:32 Their next work's work. So back 1965 big blackout with, you

42:43 city and 100 Lost Power CD. wasn't very popular. So what I

42:53 to start to figure out, get much better assessment how vulnerable their systems

43:03 . Far for that money to do lot of competition. So in that

43:07 , parts matrix equations. One of things I did most not to do

43:14 efficiently. Duckman I work for managed love less money than the competition.

43:23 one contract based on then it became the product of the company two

43:40 Another thing worked out for them on , um, thinking machines,

43:47 the next machine. What? They first system the first list first,

44:04 powerful system on that this year. system, this company, the benchmark

44:14 group was responsible for us in terms SBC two examples where you see in

44:22 case that one what? Your performance got a good business on created a

44:39 And this is the limit. This Oh, mark zone. So it

44:45 you some size. So this a of more words before the what is

44:54 Much examples Science formance high performance were it's, uh not, you

45:04 scientific and engineering competition where many people this, why you of it?

45:11 prowess. But it is a question . Essentially using profession resource, you

45:20 . You need not case now a bit about algorithms architecture catching off

45:29 Then you need to have programming tools matching you want to achieve. So

45:39 and the other part is, um , so this is a high

45:43 It can't get the efficiency on this . No, was a lot of

45:52 . So I was speaking about that has a clue. Typical efficiency that

45:58 as a fraction off p forwards Peter performance and she on typical cold that

46:07 on these things. Fraction of this for so have fun. Yes.

46:22 , you know Whoa, wait. are way too high. Okay,

46:27 was hedging. Wait. Yeah, know. Typical cold that is still

46:39 of perceived to be reasonable. Written . 10 about no one of science

46:56 that works on these big machines. got in the water for getting 30%

47:05 . So no. So, you , I don't care too much.

47:09 laptop efficient. It is by having go back to my earliest signed for

47:14 102 $100,000,000 computer. If you just one minute's worth of it. Your

47:22 , Where's the but conditions in terms power, you know? So here's

47:34 part. How much of it? I will be using resources. Part

47:42 the things. Course the tools to some insights in tow where bottlenecks use

47:59 in principle. Yes, in The best thing that always like

48:04 Percent on that design. A specific . No, Jake. The standard

48:14 . See you on. Did she matrix? Multiplication? Honey, I

48:24 , but you can get it on . You can cast things in things

48:28 are similar than you. Yet you get it. First part's matrix

48:36 There's no talk. More wine, . So this is another bet in

48:44 . Off are the particle axis on , Aurens. It's Gideon. Some

48:58 , Instructions per second. So name . Yeah. So no and

49:39 You want power and you want high . No, I don't want to

49:45 in this corner. So I was of a joke. If you want

49:49 have something where? Up into the , That's a good thing to be

49:52 up. Means are kind of, , here on its butt here.

50:12 in terms. All the parts Assumption you. Well, fire capability tend

50:24 the fire in terms of if it's efficiency. So what's the difference

50:31 Is the difference Hers, don't Are you decide? What is

50:40 Your Yeah, Lord, life in . Here. You know, funding

50:55 or Yeah, it's just you can't apart this and on guard a book

51:14 armies arm here, process. Do right. So there's more than our

51:45 produce insignificant. Think us in. being the dominating I'm so course being

51:58 . Wishes are These are for this . So And here is another sign

52:13 no coming back for this notion of and how much you get four and

52:28 in their sample is using patients, ? Right, Right. No.

52:44 , I know that. Right. you can see here Execution. 9,000,000

52:55 a second farces. This is one . So software is important.

53:17 the difference to be in these two . 5000 pounds. So again.

53:27 that's partially thing, you know, to emphasize in divorce. What?

53:38 , for months, Languages. People sight. Yeah, this side is

53:51 from courses. So there's something more less that So that's why I started

54:02 say missions that required efficient state for , what you need or what's beginning

54:12 happen. There's a proliferation in so and you get enough on a

54:17 of silicon to execute bunch of the , it's again something. It's important

54:29 space to be aware that that happens though architecture in this course. But

54:37 understand that things are happening. Be . You okay? So this process

54:46 have my execution course. No, don't even use all its course.

54:55 . Well, it depends again the and you're used to No.

55:01 No. When it does. Isis, that is made you smoked

55:05 example in 98. 99% of vicious got even on. But of

55:17 you know, if the application don't the parent was used his horses.

55:27 here's a guess. A little bit this. So that's again Dolly.

55:38 didn't know you have video, but been very active in this space for

55:44 long time student that when I was And by the way, there he

55:52 , giving a talk tomorrow. Rights a cop? Yes. So in

56:00 ability, I encourage you to go . Listen to me. I don't

56:04 Exacto title of his talk. It's different guy and get very Justin Fox

56:15 to rise. It's in Duncan you know, c'est apart.

56:21 you know the winterized campus. No. So you can find it

56:30 on the world. But if you Rice campers, you know the fancy

56:36 off main interest with them with our , then the courtyard behind it.

56:42 if you look at that bending meters the right of that is done,

56:52 see what else hears things again. , go. The Internet companies there

57:02 that's again by cool and I don't if I have it here. But

57:09 designed started to design their own And so that's Facebook. Standard

57:18 terms of our consumption and then, the other hand, large enough.

57:23 they decided. Here's but the service be. And then they tell his

57:26 have been going with this one up That's what's happening, and I'll talk

57:33 about that. Distribute example. So a sense, it's another infrastructure and

57:39 . It's not bunch of racks on , other things that people are also

57:44 about. This again, part of . Staying green about one and 1/2

57:52 the costs. Lifetime cost. The is probably and a few insults.

57:59 I would talk about that. My is up. There's a big slice

58:03 monster Shane showbiz this. It's where with a bar to chance therefore also

58:11 heart of this gypsy. So because got to up, so here's more

58:19 less similar to the other. With , you asked about different level,

58:25 deal efficiency off. I just talked Okay, just roll this nonsense

58:40 So I hope you stay in the . Two, Of course,

58:49 it's important you know is Of if you don't think it's for

58:52 it's It is okay. Thank Do they You work for that?

59:07

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