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HP HPE6-A47 : Designing Aruba Solutions Exam

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Exam Number : HPE6-A47
Exam Name : Designing Aruba Solutions
Vendor Name : HP
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HPE6-A47 test Format | HPE6-A47 Course Contents | HPE6-A47 Course Outline | HPE6-A47 test Syllabus | HPE6-A47 test Objectives

This course teaches you how to plan and design enterprise Aruba campus wireless and wired networks. Hands-on labs provide you experience with network design from information gathering to planning and high-level design including RF Planning, Redundant Campus Architecture design, and Remote Access Branch office design. This course teaches Aruba Mobility Network Design for Aruba Secure wireless and wired network deployments using Aruba Best Practices on how to plan and design enterprise campus networks including designing for redundancy and high availability. This course is approximately 40% lecture and 60% hands-on lab exercises. This 5-day course will help students prepare for the Aruba Certified Design Professional (ACDP) V1 exam.

Topics | Outline | Syllabus
- DetermineCustomerRequirements
- Determine key Stakeholders expectations and requirements
- Determine network usage and requirements
- Identify applications to determine throughput and bandwidth, technologies, and products
- Determine security requirements and Authentication and Compliance
- Determine redundancy requirements
- Determine roaming requirements
- RFPlanning
- RF fundamentals
- RF Planning and Site Survey
- Determine the environment type
- Document wireless RF coverage
- Plan AP physical location
- Selecting APs and antennas
- Channel planning and Airmatch
- ArubaCampusDesign
- Campus Topology
- Aruba Campus WLAN logical architecture
- Overview of Mobility Manager-based architecture
- Planning the deployment architecture
- Controller Scaling
- Planning and selecting licenses
- Using IRIS
- WiredNetworkDesign
- Selecting 2-tier or 3-tier architecture
- VSP and backplane stacking
- L2 vs. L3 design
- Planning the access layer
- Planning the aggregation/core layers
- Planning VLANs based on access control requirements
- Planning Wired VLAN in a Multiple VLAN design
- Planning for a wireless large flat VLAN design
- Redundancy
- Designing types of redundancy: Mobility Master redundancy, mobility controller redundancy, AP redundancy, switch redundancy, and linklevel redundancy
- Mobility Master redundancy
- Mobility Controller redundancy
- Wired Network Redundancy
- PlanningQuality of Service
- Determine what traffic needs to be prioritized - Overview of real-time applications such as voice and video
- Explain the features the Aruba solutions provide for prioritizing traffic
- Map traffic from wireless user device to AP, to controller, and then onto the wired network
- VeryHighDensity (VHD) Design
- VHD Wireless network design
- Planning VHD design for a Wired network
- Planning High Density RF Coverage
- Branch andSMBTopologies
- Designing Remote Access and Branch solutions
- Remote Access Points
- Activation using Aruba Activate
- Aruba Instant APs (IAPs)
- Wired solutions for the branch

Exam Objectives | test Outline
- After you successfully complete this course, expect to be able to:
- Plan and design enterprise Aruba campus wireless and wired networks.
- Evaluate the requirements, and select the wired networking technologies for the design.
- Evaluate the requirements, and select the wireless networking technologies for the design.
- Plan and design an Aruba solution per the customer requirements.
- Produce a detailed design specification document.
- Recommend the solution to the customer.

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HP Designing PDF Dumps

Gutting many years Of architecture To build a brand new form of Processor | HPE6-A47 Latest subjects and PDF Questions

There are some features in any structure that are standard, foundational, and non-negotiable. appropriate up to the moment that some suave architect shows us that here's not so. What is right of constructions and bridges is equally real of programs and their processors, which is why they use the same word to explain the americans who design this macroscopic and microscopic structures.

Peter Foley, who is the co-founder and chief government officer at Ascenium, a startup that simply uncloaked after raising $sixteen million in its series A assignment capital funding, is one such architect. And Foley and the crew at Ascenium wish to throw away loads of the architecture in the up to date CPU and begin from scratch to create what Foley calls the application-defined, consistently reconfigurable processor. And the explanation why Foley says tearing down the processor and building it in a new and distinctive means is fundamental is because they have run out of hints with the current structure of the CPU.

Some background of Foley is likely so as earlier than they dive into the dialog that they had with him on the structure of the approaching Aptos processor below construction at Ascenium and how it's going to shake up the CPU market. Foley has covered a lot of ground and considered loads of issues that has introduced him to this aspect.

Foley received his bachelors in electrical engineering at Rice college and a masters at the college of California at Berkeley. whereas at Berkeley, Foley labored on the Smalltalk on a RISC (soar) chip task with David Patterson and Alvin Despain. After graduating, Foley joined Apple, working on various chips for the Mac and Mac II own computers, and changed into then tapped by using Apple in 1987 to be one of the four fashioned individuals of the forward-of-its-time Newton personal digital assistant, which become definitely a dry run for the iPad however nobody knew that at the time. In certain, Foley turned into put in can charge of the construction of the “Hobbit” processor used within the Newton. He left Apple to join SuperMac, a 3rd birthday party GPU corporation, and then when to Chromatic research to work on its programmable VLIW and SIMD media processing accelerator. Foley did a stint as an entrepreneur in residence at Benchmark Capital and then centered nBand Communications and created a software-defined broadband instant radio (whatever thing corresponding to the WiMAX they should still have had in its place of 5G, which actually is extra like 4.1G in most places, let’s be honest). He then did a nearly 4 yr stint as vp of engineering at Predicant Biosciences, which created diagnostic devices to scan for melanoma in blood proteins, and then had a nearly four 12 months stint at Tallwood challenge Capital as an executive in home.

significantly, in December 2009, in spite of everything that and seeing the accelerated computing writing on the wall, Foley changed into founder and CEO at AI chip startup Wave Computing, and importantly, Foley left the company years earlier than it did its complicated offers to license its know-how in China, earlier than it bought the MIPS chip know-how that had been passed round for more than a decade after Silicon pictures spun it out, and earlier than it had to file for Chapter eleven bankruptcy reorganization in April 2020. And to be specific, Foley left Wave Computing in June 2016, and ran his own consulting company until joining Ascenium, which was situated in March 2018, as its CEO in June 2019. Importantly, Ascenium obtained its $9 million angel funding round and its $16 million series A funding round from Stavanger Ventures AS, a mission capital company run via Espen Fjogstad, a Norwegian serial entrepreneur who has bought agencies to eBay and Google as well as taken several public on the Oslo inventory change; a couple of did reservoir modeling, which likely came in easy during the North Sea oil boom that breathed new life into the economies of the UK and Norway beginning within the late 1970s. (Oil got expensive ample and know-how superior a ways enough that it turned into in your price range to drill it offshore.)

so far as they understand, Ascenium became established as a minimum previous to 2005, when Robert Mykland, its founder and chief technology officer, gave a presentation on the scorching Chips conference (PDF). The enterprise has been granted 9 patents, which are beneficial in a litigious semiconductor house. The existing incarnation of Ascenium changed into centered in June 2019 to leverage and lengthen that analysis by Foley, Oyvind Harboe, and Tore Bastiansen.

identical to the Newton was forward of its time and Moore’s legislations needed to let chips and networks catch up earlier than they might have a PDA, possibly they needed to get to the end of Moore’s legislation earlier than they could even agree with the concepts that Mykland espoused greater than 16 years ago.

With that out of the way, they had a chat with Foley about what Ascenium turned into up to with a processor that doesn’t have an guideline set as they understand it and seeks to redefine the interface between application compilers and the underlying hardware with its Aptos processor, which is a programmable array of 64-bit computational points. here’s a block diagram of varieties to get a consider for it, however here's admittedly a little vague because Ascenium is a bit secretive in the mean time:

With all of that in mind, right here is their chat with Foley.

Timothy Prickett Morgan: i believed I noticed that this become an instruction set structure-free processor. and i examine that twice, shook my head, and idea, “What in the hell is that?” so that you have obtained my consideration now.

Peter Foley: They see what my ex-boss, Dado Banatao from Tallwood, used to call a big, sleepy market it really is ripe for innovation. And so their mission is to enter that big market with anything that’s absolutely diverse.

And the cause they think it must be completely diverse is in case you are trying to play via the equal set of guidelines within the identical sandbox, which is in fact an guideline set architecture strategy where you have got serial streams of guidance that go into an out-of-order challenge desktop with very deep pipelines – you be aware of the whole shebang, I gained’t get into all the particulars – but when you play by that set of rules, which you could’t win in. examine all the Arm roadkill alongside the manner: Calxeda, Cavium, Broadcom, blah, blah, blah.

TPM: There’s lots of roadkill, billions of greenbacks of roadkill.

Peter Foley: And Qualcomm has tried to do it twice and i suppose they’re nevertheless at it. It’s very difficult. It’s very difficult to beat Intel on single core, single threaded SPECint, which is basically what people care about.

TPM: AMD is doing it this week.

Peter Foley: Yeah, but they're nevertheless X86, and they have a license. And yes, they’re definitely kind of beating Intel at this time, but lots of it has to do with Intel’s screwup on the fabs and AMD using TSMC so that they have a node expertise for ages.

TPM: I wrote a story currently, which has no longer yet been posted, asserting the smartest thing that ever came about to AMD is GlobalFoundries screwed up 14 nanometer, but IBM bought them Microelectronics which helped, after which 10 nanometer become definitely tousled.

Peter Foley: That’s precisely right.

TPM: as a result of after that, AMD had to jump to 7 nanometer on TSMC at the exact same time Intel was having big issues with 10 nanometer. AMD may always design a very good chip, but those foundry factors at Intel made them so vital.

Peter Foley: You’re exactly right. the entire different stuff is variety of 2d order: slight tweaks to the architecture, dump in a couple of billion extra transistors. Moore’s legislations and Dennard scaling are not cooperating, although, and since these architectures are so incredibly complex, they should dump in a couple of billion transistors to get an additional 5 percent or 10 percent or 20 p.c or whatever. And the difficulty with it's now it gets too hot and also you either need to turn down the clock otherwise you need to shut off part of the die – and then you have got a dark silicon problem.

TPM: I have been saying flip down the clocks and get memory and CPU returned into something close to phase since you’re just spinning the clock to attend most of the time anyway. so that you might as well simply go slower and not wait. They should parallelize their code anyway to run on a GPU, so make the CPU look like a GPU and increase its throughput that approach.

Peter Foley: Nvidia had that difficulty with Ampere GPUs. They got here in too hot, at four hundred watts even with a slower clock, and that supposed Ampere couldn’t go on PCI boards devoid of redesigning it healthy into a 300 watt PCI-categorical form factor.

TPM: So, that units the stage for what Ascenium is attempting to do, I think.

Peter Foley: What we're doing is going to be definitely diverse. And the theory is let’s redefine the partitioning between the compiler and the hardware, which turned into established fifty years in the past with the ISA for IBM mainframes after which RISC machines.

lower back then, you had like a three stage or a five stage pipeline and the compiler couldn’t do a good deal because you didn’t have lots horsepower. And this looked like a superb division of labor. And the issue is that that that specific API partitioning has gotten definitely stale and doesn’t in fact work 50 years later with the developments in compute horsepower and the issues that, as i mentioned with Dennard scaling and simply dumping transistors into an out-of-order structure. It’s time for a clean rethink and just dump every little thing associated with the ISA: deep pipelines, out of order, reordering, renaming, forwarding, runtime branch prediction. simply cast off all of it.

TPM: What the hell is left? every little thing I understand – everything I suppose I keep in mind – is in that listing.

Peter Foley: There are some key enablers right here, right? One is that there’s an amazing amount of horsepower obtainable now to the compiler. so that you could have more complex compilers do a great deal more work because there’s simply the horsepower to do it.

one other enabler is when you are going to go to an array-based approach it's managed at a really, very exceptional grain by using the compiler directly, type of like an enormous microcode notice if you will, into this array-based desktop, then your standard compilers are one dimensional. You spit out a serial movement of guidance after which you throw every thing over the wall to the hardware. Hardware has to extract all the parallelism, do every little thing. they are saying let the compiler do a ton extra work, have an even bigger, broader view of the whole application and do a good deal greater subtle optimizations. And now the compiler is a 5D compiler. It’s received to do second placement, it’s obtained to do second routing, it’s received to do scheduling. And in order that’s plenty extra work.

and because their market is the datacenter, they are able to recompile stuff all the time since you might spend 15 minutes to a half hour compiling whatever after which run it 10 million instances within the datacenter and reap the vigor rewards. That calculus has changed, too, when it comes to the entire center of attention on power. So it’s price to look if you can spend greater time up front with a really super-subtle, advanced compiling 2d computational array that’s directly managed by using the compiler with a large microcode note, it’s price it in case you can store even 5 % or 10 % of the power. The hyperscalers will bend over backwards to get you into their datacenters in case you can try this.

there's one other key enabler for Ascenium’s Aptos processor and their strategy, and i’ve been down this route and that’s something I dropped at this enterprise. I realized this and i notion it might in fact make a difference to what Ascenium was doing. There’s a corporation known as Tabula that had an analogous issue and that they had true complications getting the utility work and that they didn’t get it to work until the conclusion after their second or third are trying as a result of they ultimately introduced in a constraint solver. Tabula used a SAT solver based method to do the compiling backend. And they did the identical factor at Wave Computing. and then I brought that technology here to Ascenium.

we have a typical LLVM compiler infrastructure but a brand new LLVM backend concentrated on their hardware it really is closely oriented on constraint solvers. And so it’s like a black field. in case you have a very essential commonplace structure the place that you can absolutely describe the behavior, each temporally and bodily, in a set of logical equations, then their SAT solver can digest it and provide mathematically provable surest results. this is complicated to beat. You could by no means use a constraint solver on a fancy, heterogeneous, out-of-order architecture. forget it. You would be wasting precious time. but this may work.

The mathematically provable most suitable results for an SAT solver approach is an overreach when speaking about a whole program. It’s mathematically provably gold standard for chunks of code – however computationally intractable for whole programs. So then these chunks have to be stitched together. hence the SAT solver windows across the code, stitching the compiled home windows together – and there is a few lack of efficiency there. So part of the key sauce then, the enterprise wisdom, is understanding a way to optimally partition, collect, and sew collectively the SAT compiled chunks of the program.

The theory is make the chip architecture as simple as viable. Throw it at a SAT solver, which generates these truly amazingly best 5D solutions after which go from there. And that’s the bet: Get backyard the X86 and Arm sandbox, and importantly, have an IP clear strategy. as a result of that’s the other difficulty: if you are trying to move up against these CPU guys, you’re going to run up towards a big IP wall. As soon as you start definitely being a chance, they’re going to sue you. length. It’s simply company, correct?

TPM: So this is kind of RISC taken to an excessive?

Peter Foley: exactly. And, you be aware of, I come from that world. I worked with David Patterson on the Smalltalk on a chip research group at Berkeley way back when. I even have been doing processers my total profession, on and off, and almost all of them are RISC-based mostly.

TPM: I wager here's in fact NISC, then: No instruction Set Computing.

Peter Foley: [Laughter.] right!

but seriously, constraint solvers are really a scorching thing now. They’re taking on the EDA business. And in essence, what we’re doing is definitely more of an EDA difficulty than a classic compilation issue. It’s variety of like a complete Xilinx or Altera FPGA backend rolled right into a compiler as a result of they do many of the identical forms of things with placement and routing and scheduling and everything into the FPGA look up table cloth. We’re doing whatever thing very identical but concentrated on a really customary-goal compute engine. Constraint solvers are being applied elsewhere, however here is the primary software I’ve ever seen to general-aim computing. And we’re working difficult to stake out a first mover competencies when it comes to IP claims and patents and all that respectable stuff.

TPM: So are you somewhere like halfway between an FPGA dataflow engine and a CPU, is that the style they think about it?

Peter Foley: sure, I consider that’s fair. however they are a well-known purpose processor. We’re now not emulating hardware the style an FPGA does with a look up desk material.

And here’s one other pleasing thing it is significant. in case you look at an X86 guideline circulate, I suppose as a minimum 50 percent, if no longer greater, of the guidelines are movement directions all concerning records move. I believe best 20 % of the directions in an exact X86 guideline circulation do work: add or subtract or multiply or some thing. smartly, in their world, everything is all managed via the compiler intimately in the same manage phrases. So information flow, computation, course, routing – every thing is all controlled by means of the compiler on the equal time within the identical guide manage notice that goes into the array. So there’s no sort of serialization, there’s sort of no Amdahl’s legislations penalty in terms of instructions streaming into the structure that just do strikes. It’s all achieved at the same time by using the compiler.

The compiler has to retain tune of loads of stuff, to be reasonable. but additionally to be fair, in a traditional out-of-order computer, there’s all kinds of renaming that goes on, very complex stuff. And there are all these supplies within the array to comfortably put in force a really enormous distributed renaming capacity. So we've this distributed memory that they leverage and they do lots of reuse so there’s now not as an awful lot site visitors to a classical register file. so that’s all eliminated. we've well-nigh no pipeline, so the department shadow is extraordinarily short. It truly is diverse.

TPM: ok, so it’s like Hewlett-Packard cons Intel into doing EPIC, and sort of grafting it onto anything that smells like an X86 but not adequate and they become with Itanium. And here you are, throwing away every little thing that Intel and HP did and simplest protecting the Explicitly Parallel guideline Computing half. . . . [Laughter]

Peter Foley: So I’ll head your next question off at the circulate. So how real is it?

TPM: now not precisely. You ought to take note. Nicole and that i make jokes right here at the subsequent Platform about all of the AI startups, who have dependent hardware after which they delivery speakme about bringing within the magic compiler. There’s all the time this and “then a magic compiler makes it all work correct.” and also you, you just described the most magical of compilers I even have ever heard about.

Peter Foley: [Laughter].

TPM: So, you recognize, if I sound skeptical, I’m probably not figuring out. . . . Or might be i'm.

Peter Foley: some of the reasons their traders ponied up the collection A and got the enterprise getting into the subsequent stage is that we’ve tested being in a position to collect 700,000 traces of code between five and ten minutes and run it on an FPGA prototype. And in order that’s probably the most neat things about this structure. It’s elementary sufficient for you to really prototype it on the FPGA.

TPM: Let’s be genuine in their language right here. This become now not a group of four boards with eight FPGAs on each and every board, of probably the most expensive type, linked collectively to emulate one small chip?

Peter Foley: Oh, no, no. this is now not a Paladium. No, here's one midrange FPGA board. They couldn’t afford anything extra.

we are able to run seven-hundred,000 strains of code, which includes standard C libraries used in SPEC, and they bring together that and run that on their FPGA testbed, which isn't the entire architecture, however a huge chunk of it, and get functionally correct results. we've a full symbolic debugger and other infrastructure to definitely make whatever like that work.

TPM: What is that this component going to seem like when it’s a product, and the way are you going to pitch it?

Peter Foley: We’re attempting to win on the two most vital metrics. One is SPECint efficiency, and individuals use instructions per clock as a kind of a proxy for that. It’s not a fine proxy. but they have a metric that’s an X86 equal guidelines worth of labor carried out in every one of their control words. Their goal, when it comes to the compiler fine of outcomes and improvements, is to move that bar in terms of their IPCW, guidance per manage word, their IPC equal. That’s tremendous-critical for the hyperscaler guys,

TPM: That’s desk stakes.

Peter Foley: The different is power. So the theory is to win on each metrics and have a very compelling sort of slam dunk story. And the component about the vigour there's they just dispose of the entire transistors.

TPM: so that you look at what number of transistors does it take to get whatever achieved, right?

Peter Foley: considerably less. Let’s just say a ton less than X86.

TPM: Is it an order of magnitude or an element of three? I suggest, what are they speaking about?

Peter Foley: It’s probably an order of magnitude, but I don’t you recognize, that’s just a swag. I don’t have precise numbers yet. That’s what this money goes to move for. We’re going to flesh out and finalize the microarchitecture and basically build some trial silicon and get ahold of the 5 nanometer tools or whatever thing they need, and go construct this component and lay it out.

That’s a part of the job of constructing a processor, coping with all of those geometries. It’s all about spatial delays and the tyranny of distance. design determines so many components that bleed lower back into your microarchitecture. So they should go be certain that they tackle those and cope with all that. And as soon as they delivery getting deeper into that, we’ll be able to provide the form of numbers that you simply’re attempting to find in much better confidence.

TPM: The intention, then, if i will sum up the Aptos architecture, is to lower the watts and increase the performance – however you don’t have to drop the expense.

Peter Foley: That’s proper. And they don’t ought to pay Arm.

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