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The Hyperion-insideHPC Interviews: Steve Conway on the necessary of AI Ethics and Why ‘Hardware Is convenient, application Is difficult’ | LOT-924 Test Prep and PDF Dumps

Steve Conway of industry analyst firm Hyperion analysis is one of those technologists with the rare talent for talking advanced expertise in a straightforward, understandable approach. in this interview, he uses that skill to survey the background of HPC and consider what’s forward for the business.  In his view, the simultaneous convergences of HPC within the enterprise, together with HPC and AI, present notable alternatives for the industry – however only if AI ethics is addressed critically. He also talks about the upward thrust in equipment expense tags whilst cost per FLOPS drops, the upward thrust of “indigenous technology movements” in China, Japan and Europe, and the growing calls for on software as HPC shifts to a greater cloud-like workflow view.

in this update…. From the HPC person forum guidance Committee

by Jean Sorensen and Thomas Gerard

After the global pandemic forced Hyperion analysis to cancel the April 2020 HPC person discussion board planned for Princeton, New Jersey, they determined to attain out to the HPC community in one other means — via publishing a series of interviews with members of the HPC consumer forum steering Committee. Their hope is that these pro leaders’ views on HPC’s past, existing and future can be wonderful and advisable to others. To behavior the interviews, Hyperion analysis engaged insideHPC Media. They welcome comments and questions addressed to Steve Conway, or Earl Joseph,

This interview is with Steve Conway, senior marketing consultant for HPC market dynamics at Hyperion research. He produces opinion items, studies and reports on the global HPC market, exceptionally within the areas of AI and excessive performance statistics evaluation, cloud computing, part computing and the IoT.

Steve works closely with govt groups, trade and academia, and the vendor neighborhood in North america, Europe and Asia. He was vp of investor members of the family and corporate communications for Cray and had management roles at SGI and CompuServe. previous, Steve had a 12-year profession in university educating and administration at Boston school and Harvard university.

A former Senior Fulbright Fellow, he holds bachelor’s and master’s levels in German from Columbia institution and a grasp’s in comparative literature from Brandeis university, where he also achieved doctoral coursework and exams.

He changed into interviewed with the aid of Dan Olds, HPC and big information consultant at Orionx.internet.

The HPC person discussion board became dependent in 1999 to promote the health of the international HPC industry and tackle considerations of regular concern to users. greater than seventy five HPC person discussion board meetings were held within the Americas, Europe and the Asia-Pacific area in view that the corporation's founding in 2000.

Dan Olds: Dan Olds here on behalf of Hyperion analysis and insideHPC. We’re going to have an interview with Steve Conway, who has had a storied career in HPC. So, how did you get panic with HPC within the first region?

Steve Conway: My work in faculty and grad school changed into in literature, but I worked with computer systems a lot, starting with an evening job as a system operator for an IBM 360 laptop at an coverage company. At a later job, i was a equipment administrator for a mini-computer multi-person device, so i was always attracted to computer systems.

Olds: And, yet, you were taking literature classes?

Conway: yes, I majored in literature and minored in physics, so i used to be attracted to science, too. Then, I had a consulting job where Cray analysis grew to be one among my very critical shoppers. So, I bought panic with HPC when Cray hired me and that i wound up as head of communications and investor relations for the company.

Olds: Ah, k. What variety of consulting projects have been you doing with Cray back in the day?

Conway: before I joined Cray as an worker, it turned into everything from employee surveys to speaking to all of their investors and financial analysts and business analysts to work out how americans saw the enterprise in order that the company, which turned into in fact becoming fast at that element, could work out how to steer well through this increase.

Olds: And doing, doubtless, rather a little bit of schooling, too, as a result of computer systems and supercomputers weren’t that neatly primary returned then, have been they?

Conway: on occasion I necessary to be an evangelist for HPC in an outward course, however on the equal time i used to be being knowledgeable with the aid of others in the company and in the HPC community.

Olds: So, what did you do after Cray?

Conway: well, Cray got sold to SGI and when that took place, because of the place i was in, i was coping with investor members of the family and all those issues, the person in that job leaves. So, I knew I had to go away and i went into early internet businesses as an exec with a company called CompuServe, and then i was a specialist to AOL in its heyday.

and then Cray grew to become unbiased inside SGI for a while, then impartial totally, and that i agreed to rejoin to help with the restart, especially helping the CEO to attract and retain relationships with traders.

Olds: I bear in mind these days. i was part of that transition from Cray to SGI, but I’m a part of the piece that went to sun.

Conway: I bear in mind that. I labored very heavily with all of the individuals in Beaverton (Oregon) at Superservers, which turned into officially called the Cray enterprise Division. That division was offered to sun and the equipment morphed into the E10000 that became a tremendous success for sun. It changed into quite simply the quickest enterprise laptop on this planet then.

Olds: So, how did you get into the business analyst game?

Conway: When Cray all started up once again I had my very own consulting enterprise, so i used to be type of operating as an analyst and that i told the new Cray that i might work there for 2 years and i labored there, to the day, precisely, for 2 years and then got employed by IDC as an trade analyst. IDC spun off its HPC group in 2017 and they grew to be Hyperion research.

Olds: You know at IDC and, of path, at Hyperion, you guys in fact have set the normal for what HPC market analysis and trend analysis should still be.

Conway: neatly, you know, there were a number of us, some of us went on to other issues. both Addison Snell and Chris Willard had been colleagues and really helped grow the HPC company at IDC earlier than they went off on their own. There are different people who are not any longer with us but are doing an excellent job for the HPC community.

Olds: nonetheless it’s somewhat a company and methodology that you just’ve developed there. Over your years, what have been one of the biggest alterations that you just’ve seen in HPC?

Conway: smartly, I suppose the largest alternate is the boom of the measurement of this market. In what some americans be aware as the “golden period” of supercomputing, up in the course of the early 90’s, when the competitors were Cray, IBM, Fujitsu, Hitachi, and NEC, the total market with every thing thrown in (hardware, software, servers, support, every thing) become worth about $2 billion worldwide. In 2019, it became $28 billion, and we’re forecasting it’s going to go to $forty three billion by way of 2024, now not counting possibly yet another $7 or so billion in cloud utilization and not reflecting the impact of the virus epidemic. So, this should be would becould very well be a $50 or 51 billion market in a pair years. So, that’s one huge exchange.

another big exchange is the methods themselves. They used to be these proprietary monoliths. They’ve turn into a good deal greater modular, requirements-primarily based and heterogeneous, and that’s allowed the market to democratize and expand. devoid of that, I don’t feel it might have practically as much. It’s also advanced from sort of a niche, govt-managed market to a an awful lot greater mature stage where it is a industrial market pushed by commercial market forces and, for the immense majority of individuals, that’s a great aspect. Legacy stuff all the time gets left behind however, even for govt, that’s a plenty more healthy thing. The different issue is the sizes of the methods have gotten so big and the prices as well. It used to be that $30 million bought you the biggest supercomputer you could possibly buy. That new Fugaku equipment, that’s #1 on the appropriate 500, that just came out is a billion-dollar contract all informed.

Olds: well, and it’s doubtless going to cost more than $30 million just to vigour the thing, or it’s going to be a big quantity.

Conway: I suppose the other massive component that’s occurring right here is that ultimately, after loads of work by a lot of people, governments all over have identified that HPC isn't just for science however it’s vital for financial competitiveness. That awareness is what has allowed all these big sums to be made attainable for exascale systems. on the other hand, it’s also ended in the disruption of the market – the indigenous expertise actions in China, Japan and Europe – because if it’s so strategic the countries don’t want to be reliant on overseas carriers, so there’s this big push to strengthen indigenous provide chains and applied sciences. in the brief time period, that’s disruptive; within the long run, if it goes correct, then there ought to be more competitors and selection in the market.

Olds: precisely, and you additionally examine, and that i feel you alluded to this, HPC leaving the lab and going into the enterprise statistics middle as well.

Conway: fully. That started very slowly about 10 years ago and it really, truly picked up momentum. They tune lots of of groups which have adopted HPC for the first time. there's a crucial distinction right here – they don't seem to be talking about the automobile and aerospace organizations that are bringing HPC into HPC records facilities for upstream R&D. here's for are living, downstream, company operations like income, advertising, HR, that sort of factor. They’re adopting HPC as a result of business server expertise with the aid of itself can’t do it anymore in these huge world corporations. The enterprise server know-how stays there within the data core however HPC receives integrated into it at very key choice facets where very quick responses are obligatory to very complicated questions.

Olds: big volume of data, very brief execution time as a result of they are making selections off of it in real time, virtually. So, it is terribly important to have the efficiency.

Conway: yes, loads of companies they talk with used to produce stories from all their branches world wide once a month. Now they should do it 5 or 6 times a day to remain competitive.

Olds: Yeah, it’s striking. You comprehend what can be interesting? It’s sort of spurred me from of your earlier remarks: if someone ever computed out what the can charge-to-the-customer per flop has executed due to the fact, say, 1980 to now.

Conway: I believe we, as a minimum, used to do that. I don’t understand if we’ve achieved it precisely currently, however we've the capability to do this with no trouble.

Olds: as a result of even with a $1 billion gadget the cost of efficiency per unit have to be means, means down. I imply, it must be losing exponentially through the years, i'd suppose.

Conway: it is. a part of that, of route, is the adoption of commonplace applied sciences for a lot of what happens in HPC. so that reduces the price, it expands the market as a result of all and sundry can use the stuff and the programming is an identical. but now that’s type of altering as a result of, as you comprehend, the market is now becoming, in a good way, much more heterogenous with the applied sciences, however additionally the problems that it’s tackling have become greater heterogeneous. And we’re seeing the architectures, after a couple of many years where issues grew to become increasingly compute-intensive however not so great for facts, we're seeing the more moderen architectures come out which are designed to support information-intensive work a lot more effectively as neatly.

Olds: So, that’s a pretty good springboard to their next query: the place do you see HPC moving into the next few


Conway: smartly, it’s already going there. It’s pushing into AI or AI is pushing into it. I’d say commercial enterprise is pushing into HPC, on the level of the gigantic global corporations, anyway. There’s quantum computing. There’s also the dance between on-premises and cloud computing that’s occurring. All of those boundaries are beginning to melt down. It’s kind of like, “resistance is futile.” You really don’t need to face up to what’s inevitable, though there’s always some of that. however the workflows that these techniques should tackle, the spectrum of types of work is starting to be highly and that’s challenging from a equipment design standpoint, difficult from a programming standpoint, however that’s the place it’s going, adore it or now not.

Olds: I also see more, I trust, heterogeneity in techniques with distinctive styles of accelerators, radically distinctive types of accelerators in some instances, diverse designs. It became a big shock to me to peer that Fugaku changed into all CPUs. No accelerators. but then I might likely reveal you a listing of fifty or 60 groups, big and small, that are putting collectively their personal accelerators.

Conway: smartly, HPC is moving to a workflow view which is more cloud-like. It’s not the equal as cloud microservices, however it’s more cloud-like. So what we’re seeing is architectures that are being designed to help, let’s say, an on-premise workflow that might must go through 20 diverse very lightweight containers. each and every one of them has to very promptly assemble distinctive hardware, software, and even storage components. A workflow could go through 20 of these in a really short length of time.

So, suppose about what they have always said in HPC, and type of mean this jokingly, “hardware is convenient, application is complicated.” So, the application continues to be the most difficult part of HPC.

Olds: sure. So, what has you, if anything else, panic in regards to the future of HPC?

Conway: Two things: one, that this indigenous circulation all over may get to be too nationalistic or regionalistic and collaboration could endure due to this fact. I don’t think with the intention to take place, however within the brief term I feel there may be some of that. The other half that’s of path concerning and principally as a result of I’ve been focusing a great deal on AI is what Stephen Hawking expressed very neatly – that this may go in two other ways. That this may be a very, very decent aspect or it is usually a not very decent issue. I’m involved that the moral side of AI and all of the leisure of that aren't addressed sufficiently, that the momentum of the market will overtake those issues. That could be a protracted-time period issue.

Olds: That may be a very large difficulty. And it’s challenging to say how that issue is stopped once it gets going.

Conway: I feel there were some very first rate examples. Germany, in 2016, came out with the primary country wide legislation for governing automatic vehicles. They spent two years on that and they had spiritual americans and ethicists concerned. Who knows the way it’ll work in apply? They don’t have totally automatic vehicles yet, but that’s type of a way to go. I think China looked at what Germany did and is form of headed in that course. but we’ll see.

Olds: So, remaining question: what has you most excited about HPC in the future?

Conway: What at all times has had me the most excited, and it’s no longer the programs – they’re tools like hammers and screwdrivers. It’s what happens when this equipment gets into the fingers of some of the world’s brightest, most artistic individuals: scientists, engineers, data-analysts, and the like. That’s at all times the part that has excited me most. I’m paid to have in mind whatever concerning the systems, but what’s entertaining is truly what people do with them.

Olds: stunning. well, thank you so a great deal for the time Steve, this has been a fascinating analyze HPC and your roots and the place you believe issues are going. thank you.

Conway: thanks, Dan. and that i additionally need to provide a large shout-out to my buddy and former colleague wealthy Brueckner.

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Misc [2 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
MuleSoft [1 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NBSTSA [1 Certification Exam(s) ]
NCEES [2 Certification Exam(s) ]
NCIDQ [1 Certification Exam(s) ]
NCLEX [3 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [42 Certification Exam(s) ]
NetworkAppliances [1 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
NIELIT [1 Certification Exam(s) ]
Nokia [8 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [38 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [319 Certification Exam(s) ]
P&C [2 Certification Exam(s) ]
Palo-Alto [6 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
PCI-Security [1 Certification Exam(s) ]
Pegasystems [19 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [16 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [7 Certification Exam(s) ]
PRMIA [2 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
Qlik [2 Certification Exam(s) ]
QlikView [2 Certification Exam(s) ]
Quality-Assurance [6 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real-Estate [2 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [9 Certification Exam(s) ]
RSA [16 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [13 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [2 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
ServiceNow [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [4 Certification Exam(s) ]
Splunk [3 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [137 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [19 Certification Exam(s) ]
Trainers [3 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [7 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [34 Certification Exam(s) ]
Vmware [76 Certification Exam(s) ]
Watchguard [1 Certification Exam(s) ]
Wonderlic [2 Certification Exam(s) ]
Worldatwork [3 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]

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