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GB0-363 - Designing Enterprise-level Networks - BrainDump Information

Vendor Name : Huawei
Exam Code : GB0-363
Exam Name : Designing Enterprise-level Networks
Questions and Answers : 150 Q & A
Updated On : February 19, 2019
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GB0-363 exam Dumps Source : Designing Enterprise-level Networks

Test Code : GB0-363
Test Name : Designing Enterprise-level Networks
Vendor Name : Huawei
Q&A : 150 Real Questions

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Huawei Designing Enterprise-level Networks

First business-degree 802.11ac entry aspect Launched by using Huawei | killexams.com Real Questions and Pass4sure dumps

One wouldn't be inclined to agree with Huawei's claims that its 802.11ac entry aspect is the primary of its type, until they know that the IEEE 802.11ac is a relatively recent development.

IEEE 802.11ac is a instant computing device networking standard of 802.11 that remains under development and which provides a excessive data throughput through the 5 GHz band.

There are very few Wi-Fi routers that may talk over this frequency, and most of them are twin-band models that even have 2.4 GHz aid.

the brand new entry aspect from Huawei, which in fact is available in two versions, is described as the business's first business-degree 802.11ac entry element.”

the two fashions are called AP7030DN-AC and AP7130DN-AC. And both of them can transmit up to 1.3 Gbps at 5 GHz and 1.seventy five Gbps at dual frequency.

That ability very smooth HD video streaming, cloud computing device entry, multimedia activities of every kind, and so on.

“we're delighted to announce the international industrial availability of the 802.11ac AP. The rapid increase and building of wise devices, cell networks as smartly as the increasing vogue against BYOD has led to giant exchange in enterprise company fashions of labor and operations,” spoke of Fan Hongwei, WLAN product director, Huawei commercial enterprise Networking Product Line.

“based on our dedication to customer-centric innovation, the launch of the 802.11ac APs are a reflection of Huawei business's commitment to setting up and proposing chopping-facet technologies, so as to provide a stronger method for corporations to improve connectivity and optimize their businesses.”

Huawei's new entry points earned the enterprise the “iF Product Design Award 2013” offered by iF overseas forum Design, a design promotion firm from Germany.

sadly, Huawei did not mention where, when and for the way an awful lot cash the gadgets were selling. in the event that they don't seem to be yet on the market, and besides the fact that they're, they may be on reveal at CES 2013 in January (purchaser Electronics demonstrate).


Platform and Ecosystem method speeds up Digital Transformation: 197 Fortune international 500 companies tap Huawei for fulfillment in New ICT era | killexams.com Real Questions and Pass4sure dumps

SHANGHAI, CHINA--(Marketwired - Sep 5, 2017) - Huawei, and its Fortune international 500 partners and valued clientele showcased jointly-developed ICT solutions driving digital transformation at HUAWEI join 2017, which kicked off nowadays in Shanghai. Huawei additionally unveiled its "Platform + Connection + Ecosystem" approach designed to advertise building of an enterprise-degree cyber web of things (IoT).

organizations are increasingly focused on digital transformation as a aggressive advantage and a lot of Fortune world 500 corporations across a wide range of industries are at the tipping aspect of this transition. Their problem is to strengthen new company models that enhance Connection and engagement. What's essential is a digital transformation platform that connects intelligence, information, and gadgets, enabling them to increase engagement with companions and advance purposes that foster innovation. 

"Huawei is working with valued clientele and companions to increase imaginative, differentiating and main solutions, and create an open, flexible, comfy and agile platform for agencies to achieve digital transformation," talked about Diana Yuan, President of advertising and marketing and answer income for Huawei's enterprise enterprise group. "As an innovation-oriented enterprise, Huawei is also dashing up implementation of its personal digitization strategy and may share its transformation most reliable practices with the business. Huawei business business neighborhood's capabilities are ceaselessly becoming and assisting valued clientele gain a aggressive capabilities and achieve business success via digital transformation. to this point, 197 corporations on the Fortune global 500 record and forty five of the accurate a hundred organisations have chosen Huawei as their companion for digital transformation, an affidavit to the strength of our approach and solutions."

in the future, digitalized businesses should be developed round facts era, transmission and processing. Huawei has a comprehensive portfolio of items and options to enable this construction in companies across distinctive industries, including networking, computing, storage, data center infrastructure, huge information, hybrid cloud and IoT platforms. Huawei additionally gives leading new ICT and an ecosystem of leading partners to convey industry-certain applications equivalent to video cloud for the general public protection sector, massive statistics for the monetary functions business, and IoT structures for vigor groups.

This 12 months, Huawei launched a series of industry-main products, comparable to OceanStor Dorado V3, a brand new-generation all-flash storage equipment, and FusionServer V5, the newest era of the FusionServer series.

IDC suggested that Huawei's records middle switches ranked first in market share in China in 2016. In a contemporary document, Gartner mentioned that in Q1 of 2017, Huawei's sales profits, number of shipments and birth ability had been all ranked first in China's server market. Gartner additionally highlighted that Huawei's horizontal options together with information centers, campus networks and IoT systems have distinctive community connections and all-situation insurance, and offer steadiness and security.

At HUAWEI join 2017, Huawei will enhance its large portfolio with the launch of FusionBridge, a hybrid cloud solution; FusionCloud Stack, a public cloud answer; Atlas, a new-era sensible cloud hardware platform; intelligent Connections, a new community structure; and a brand new generation of SD-WAN solutions.

Huawei is additionally using the Shanghai adventure to give a complete overview of its commercial enterprise-stage IoT solutions designed to speed up Connection. The solutions consist of: the Huawei OceanConnect IoT platform, a one-stop IoT provider platform for firms; a comprehensive access answer that integrates commercial enterprise broadband and narrowband networks and makes use of licensed and unlicensed spectrums; the aspect-Computing-IoT (EC-IoT) answer with cloud-gadget integration; and all-rounded safeguard capabilities relevant to chipsets and structures.

Huawei helps consumers swiftly enhance and install business functions through its "Platform + Connection + Ecosystem" strategy, which supplies an open and collectively a good suggestion ecosystem, a platform that allows for bendy deployment, and full-sequence, full-situation, and modular connections. Huawei's commercial enterprise-stage IoT solutions have been adopted in lots of areas, including sensible cities, IoT for elevators, smart structures, and the sharing financial system.

Huawei has develop into a digital transformation facilitator working with its international companions to deliver finest practices and innovative ICT solutions that aid groups around the globe embody digital transformation and power company success. contemporary successes include:

Huawei partners with Dubai Airports to construct prefabricated modular statistics center with Tier III certificates from the Uptime Institute for both design and development. The facts center will elevate features that cowl basically each point of the airport, including flight suggestions and airport operations, passenger transport and baggage services, video surveillance and more. via featuring ICT options that are agile, abruptly deployable, legitimate, energy-efficient and simply maintained, Huawei provides potent help to perform particularly effective company operations in Dubai Airports.

Rob Newman, Head of Programme management, technology & Infrastructure, Dubai Airports, pointed out: "The utilization of main ICT is essential in advertising enterprise increase, rushing innovation and enhancing the consumer experience within Dubai international Airport. we can strive to extra improve the reliability of the airport's system and in the reduction of operational charges."

structures are getting extra intelligent due to the interoperability between wise building methods and suggestions programs performed throughout the adoption of IoT, cloud computing and massive statistics. Huawei and Honeywell are taking part on the development of smart campus solutions for academic institutions, enterprises, business buildings, branch on-line retail outlets, industrial premises and extra.

Commenting on the collaboration, Stephen Hu, advertising and marketing Director of Honeywell building solutions, Honeywell home & building technologies more suitable China, noted: "Huawei and Honeywell introduced that we'll jointly launch wise building solutions across the globe in March 2017. for the reason that then, we now have been working collectively on smart city initiatives to aid city operators build eco-friendly, protected and efficient city infrastructures, in the reduction of city management can charge, and supply better residing environments for the individuals."

An increasing number of trade-leading organisations around the world have chosen Huawei as their companion in digital transformation. as an instance, Huawei's imaginative items have multiplied the construction efficiency of greater than 1,000 manufacturing organisations. Its options for the financial industry, that are based on an open structure, have accelerated company innovation in more than 300 economic institutions. Huawei's sensible-grid solutions have optimized the vigor transmission and distribution companies of 170 power agencies. moreover, Huawei's IoT solutions have saved operational expenses for greater than a hundred logistics groups.

In a fast-altering digital world, Huawei is committed to realizing the wants of its customers and making a jointly really helpful ecosystem with its partners to help consumers force a hit digital transformation.

HUAWEI connect, Huawei's flagship experience for the international ICT industry, is taking area at the Shanghai New overseas Expo Centre (SNIEC) from September 5-7, 2017 with the theme "grow with the Cloud". At this world platform for open collaboration, Huawei along side its purchasers and partners will discover new boom opportunities through digital transformation. For extra guidance, please discuss with http://www.huawei.com/en/events/huaweiconnect2017/.

About Huawei

Huawei is a number one international suggestions and communications expertise (ICT) solutions issuer. Our goal is to enhance existence and enhance effectivity through a more robust-connected world, performing as a accountable corporate citizen, ingenious enabler for the information society, and collaborative contributor to the business. driven by way of consumer-centric innovation and open partnerships, Huawei has established an conclusion-to-end ICT options portfolio that offers valued clientele aggressive advantages in telecom and business networks, devices, and cloud computing. Huawei's a hundred and eighty,000 personnel international are committed to creating highest cost for telecom operators, businesses, and consumers. Our imaginitive ICT solutions, items, and services are used in additional than one hundred seventy nations and regions, serving over one-third of the area's population. established in 1987, Huawei is a non-public business thoroughly owned with the aid of its employees.

For greater suggestions, please talk over with Huawei on-line at www.huawei.com or observe us on:http://www.linkedin.com/business/Huaweihttp://www.twitter.com/Huaweihttp://www.facebook.com/Huaweihttp://www.google.com/+Huaweihttp://www.youtube.com/Huawei


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Designing Enterprise-level Networks

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Debunking the myths of the security of access control systems

It’s not surprising that people are nervous about the security of newer technologies, many of which are part of the Internet of Things (IoT). While they offer greater efficiency and connectivity, some people still hesitate. After all, there seems to be a constant stream of news stories about multinational corporations being breached or hackers taking control of smart home devices. Both of these scenarios can feel personal. No one likes the idea of their data falling into criminal hands. And we especially don’t like the thought that someone can, even virtually, come into our private spaces. The reality, though, is that, when you choose the right technology and undertake the proper procedures, IoT devices are incredibly secure. That said, one of the spaces where we see continued confusion is around access control systems (ACS) that are deployed over networks, particularly in relation to mobile access, smartcards, and electronic locks. These technologies are often perceived as being less secure and therefore more vulnerable to attacks than older ACS systems or devices. In the interest of clearing up any confusion, it is important to provide good, reliable information. With this in mind, there are some myths out there about the security of ACS that need to be debunked. The fact that these devices communicate with an ACS via Bluetooth or Near Field Communication (NFC) leads to one of the main myths we encounter Myth #1: Mobile credentials are not secure The first myth we have to look at exists around mobile credentials. Mobile credentials allow cardholders to access secured doors and areas with their mobile devices. The fact that these devices communicate with an ACS via Bluetooth or Near Field Communication (NFC) leads to one of the main myths we encounter about the security of credentialed information. There is a persistent belief that Bluetooth is not secure. In particular, people seem to be concerned that using mobile credentials makes your organisation more vulnerable to skimming attacks. While focusing on the medium of communication is an important consideration when an organisation deploys a mobile credentialing system, the concerns about Bluetooth miss the mark. Bluetooth and NFC are simply channels over which information is transmitted. Believing that Bluetooth is not secure would be the same as suggesting that the internet is not secure. In both cases, the security of your communication depends on the technology, protocols, and safeguards we all have in place. So, instead of wondering about Bluetooth or NFC, users should be focused on the security of the devices themselves. Before deploying mobile credentials, ask your vendor (1) how the credential is generated, stored, and secured on the device, (2) how the device communicates with the reader, and (3) how the reader securely accesses the credential information. When you deploy smartcard technology as part of your ACS, you should choose the latest generation, such as MiFARE DesFIRE EV1 or EV2 and HID iCLASS SEOS Myth #2: All smartcards are equally secure The question “how secure are my smartcards?” is a serious one. And the answer can depend on the generation of the cards themselves. For example, while older smartcards like MiFARE CLASSIC and HID iCLASS Classic offer better encryption than proxy cards and magstripe credentials, they have been compromised. Using these older technologies can make your organisation vulnerable. As a result, when you deploy smartcard technology as part of your ACS, you should choose the latest generation, such as MiFARE DesFIRE EV1 or EV2 and HID iCLASS SEOS. In this way, you will be protecting your system as well as your buildings or facilities. Some traditional readers and controllers can also pose a serious risk to your organisation if they use the Wiegand protocol, which offers no security. While you can upgrade to a more secure protocol like OSDP version 2, electronic locks are a very secure alternative worth considering. It is also important to understand that not all smartcard readers are compatible with all smartcard types. When they are not compatible, the built-in security designed to keep your system safe will not match up and you will essentially forego security as your smartcard-reader will not read the credentials at all. Instead, it will simply read the non-secure portion—the Card Serial Number (CSN) —of the smartcard that is accessible to everyone. While some manufacturers suggest that this is an advantage because their readers can work with any smartcard, the truth is that they are not reading from the secure part of the card, which can put your system and premises at risk. Using electronic locks can help protect facilities and networks through various security protocols, including encryption and authentication Myth #3: Electronic locks are more vulnerable These days, there are still many who believe that electronic locks, especially wireless locks, are more vulnerable to cybercriminal activity as compared to traditional readers and controllers. The concern here is that electronic locks can allow cybercriminals to both access your network to get data and intercept commands from the gateway or nodes over the air that would allow them access to your buildings or facilities. The reality is that using electronic locks can help protect facilities and networks through various security protocols, including encryption and authentication. Additionally, because many of these locks remain operational regardless of network status, they provide real-time door monitoring. This means that many electronic locks not only prevent unauthorised access but also keep operators informed about their status at all times, even if a network goes down. Outdated technology and old analogue systems are more vulnerable to attacks When it comes to deploying electronic locks, it is important to remember that, like any device on your network, they must have built-in security features that will allow you to keep your information, people, and facilities safe. Be prepared to unlock future benefits Ultimately, the information in your IP-based ACS is at no greater risk than any other information being transmitted over the network. We just have to be smart about how we connect, transmit, and store our data. In the end, maintaining the status quo and refusing to move away from old technology is not a viable option. Outdated technology and old analogue systems are more vulnerable to attacks. The reason it is so important to debunk myths around ACS and, at the same time, get people thinking about network security in the right way is that network-based systems can offer an ever-increasing number of benefits. When we deploy new technology using industry best practices and purchase devices from trusted vendors, we put ourselves and our networks in the best possible position to take full advantage of all that our increasingly connected world has to offer.


EdgeVerve Systems Launches AssistEdge Discover to Unlock the True Value of Automation | killexams.com real questions and Pass4sure dumps

 

EdgeVerve Systems, a subsidiary of Infosys, today announced the launch of AssistEdge Discover, a unique tool aimed at increasing the success rate of automation implementations at the enterprise level through process discovery. AssistEdge Discover automates processes sans human bias that often times lead to automation implementation failure.

Forrester reports that robotic process automation (RPA) will grow to a $2.9 billion market in 2021, bringing it to the forefront of enterprise digital transformation. However, over half of enterprise automation implementations still fail when business processes are not properly understood and manual knowledge is relied upon for process execution. At an enterprise level, this becomes increasingly challenging as the amount of data and number of steps in each process increase. By eliminating human bias and reducing manual process discovery, AssistEdge Discover can help an enterprise realize the full value of automation and enable collaboration, effective change management and continuous process improvement.

AssistEdge Discover leverages user key strokes and sophisticated neural network algorithms to create an effective automation blueprint. It provides a clear recommendation based on the understanding of how business processes are executed through four pillars:

• Automatic Data Capture: Input such as mouse and key strokes from identified users can be monitored and recorded without interfering with the employee’s work.• Remote Management of Data Capture: Administrators decide and control what data is being captured from which machines and users, and at which frequency, to ensure that no business and user sensitive data is captured.• Visual Data Analysis and Mapping: Data enrichment and analysis is carried out using advanced neural network and AI algorithms. This creates a visual, data-rich process map which not only shows common paths, but also different variations of the same path.• Recommendations: Recommendations identify the automation opportunities and collate them into a dashboard, allowing the enterprise to compare different processes and make an informed decision. Automation recommendations are based on real data, thus avoiding manual bias.

AssistEdge Discover simplifies the automation journey for enterprises that are growing at a rapid pace and require speed, agility and insights to drive success. The tool was uniquely built to be platform agnostic and work alongside other RPA tools, enabling an enterprise to better manage processes across multiple systems seamlessly.

Craig Le Clair, Vice President, Principal Analyst Serving Enterprise Architecture Professionals, Forrester, said,“Automation is no longer a back-office activity and now moving to the frontend where data driven insights and process mapping are becoming key to maximize automation success. RPA and AI will join forces to create digital workers for more than 40% of enterprises. Broader process assessment is developing quickly. There is a need to advance analytics to attack process improvement and combine process mining data with traditional RPA desktop analytics to create heat maps to guide bot design and bot behavior.”

Atul Soneja, Global Head, Edge Products and Infosys Nia, EdgeVerve, said,“Today, with the rise of digital workforce in an enterprise, success is fast becoming outcome driven. The key to automation success is process discovery. The empirical approach to automation through process discovery makes the whole process transparent and amplifies the hidden values of automation impacting ROI. This is where AssistEdge Discover helps realize the true value of automation. It helps enterprises prioritize key processes for automation as well as key technologies to amplify business benefits.”

To learn more about AssistEdge Discover, please join EdgeVerve and Forrester on January 22, 2019 during the “Process Discovery - Amplifying and Accelerating the Power of Automation” panel at OPEX Week: Business Transformation World Summit, January 21-25, or visit edgeverve.com/assistedge-discover.

About InfosysInfosys (infosys.com) is a global leader in next-generation digital services and consulting. We enable clients in 45 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

About EdgeVerve Systems LtdEdgeVerve Systems (edgeverve.com), a wholly owned subsidiary of Infosys, develops innovative software products and offers them on premise or as cloud-hosted business platforms. Our products help businesses develop deeper connections with stakeholders, power continuous innovation and accelerate growth in the digital world. We power our clients’ growth in rapidly evolving areas like banking, interactive commerce, distributive trade, customer service and enterprise buying and help them navigate their digital journey with our AI enabled Automation and Business Solutions.

At EdgeVerve, we are making constant strides towards transforming enterprises by providing AI enabled Business Applications, leveraging the Infosys Nia™ Platform with capabilities across the Automation continuum. Today EdgeVerve products are used by global corporations across financial services, insurance, retail and CPG, life sciences, manufacturing and telecom.

Finacle, our industry leading digital banking solution suite is the choice of financial institutions across 100 countries to service more than a billion consumers and 1.3 billion accounts.

Safe HarborCertain statements mentioned in this release concerning our future growth prospects are forward-looking statements regarding our future business expectations intended to qualify for the 'safe harbor' under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause actual results to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding fluctuations in earnings, fluctuations in foreign exchange rates, our ability to manage growth, intense competition in IT services including those factors which may affect our cost advantage, wage increases in India, our ability to attract and retain highly skilled professionals, time and cost overruns on fixed-price, fixed-time frame contracts, client concentration, restrictions on immigration, industry segment concentration, our ability to manage our international operations, reduced demand for technology in our key focus areas, disruptions in telecommunication networks or system failures, our ability to successfully complete and integrate potential acquisitions, liability for damages on our service contracts, the success of the companies in which Infosys has made strategic investments, withdrawal or expiration of governmental fiscal incentives, political instability and regional conflicts, legal restrictions on raising capital or acquiring companies outside India, and unauthorized use of our intellectual property and general economic conditions affecting our industry. Additional risks that could affect our future operating results are more fully described in our United States Securities and Exchange Commission filings including our Annual Report on Form 20-F for the fiscal year ended March 31, 2018. These filings are available at sec.gov. Infosys may, from time to time, make additional written and oral forward-looking statements, including statements contained in the company's filings with the Securities and Exchange Commission and our reports to shareholders. The company does not undertake to update any forward-looking statements that may be made from time to time by or on behalf of the company unless it is required by law.


Modernizing the Memory Hierarchy | killexams.com real questions and Pass4sure dumps

We now live in a data-driven world. With the proliferation of IoT, we are rapidly ramping toward a trillion connected sensors on the planet, all gathering data at an ever-accelerating pace. In just the last year or so, it is likely that we have gathered more data than in all of human history prior to that. But data is useless unless we do something with it, and this deluge of data makes the challenge of extracting information even more difficult.

The science of big data has exploded in recent years, particularly in the area of techniques such as AI/neural networks. Convolutional neural networks (CNNs) bring a whole new world of capability to the emerging art of data analysis, and our industry is standing on its head trying to come up with an entirely new computational infrastructure to harness that power. The IoT is deploying compute acceleration at every stage of the hierarchy, from edge-based computing adjacent to the sensors themselves, all the way back to giant cloud data centers where specialized hardware such as GPUs, FPGAs, and custom accelerators team up with conventional processors to make sense of – and extract value from – this exploding mass of data.

Much of the attention these days is focused on the processing aspect of that compute problem. From giant players like Intel to a growing ecosystem of startups, talented teams are taking up the challenge of designing new types of processors and accelerators that can drive data-centric techniques such as CNNs orders of magnitude faster and more efficiently than traditional von Neumann processors. The field is still wide open, and it’s anybody’s guess what the go-to processing engine will look like even five years from now.

But what about memory and storage?

Everyone trying to revolutionize processor architecture runs into the same challenge – our traditional storage and memory architecture, developed over decades of evolutionary progress in von Neumann machines, is woefully inadequate for this new era. The simplistic model of some on-chip cache, DDR for frequently accessed information, and persistent storage for long-term keeping has gaps that create massive bottlenecks for these new processing architectures. Yet, many of our industry standards that form the backbone of computing system design are predicated on that architecture. What we need is a renewed focus on storing and moving data that is comparable to the current obsession with processing.

FPGAs (and devices that are FPGAs but are not marketed as such) have long grappled with the data architecture. Modern high-end FPGAs pack massive amounts of memory on chip, with a hyper-flexible architecture that allows data to be as close as the same cell with low-level (LUT) logic functions, through several levels of on-chip aggregation up to large blocks of on-chip RAM, and now with large-capacity ultra-high bandwidth HBM stacks in the same package with the FPGA die. Used cleverly, that memory flexibility can keep huge caches of data very close to where it’s needed – in the middle of massively parallel logic and arithmetic functions involved in acceleration.

FPGAs are likely to be prototyping vehicles for those designing alternative processor architectures, and those doing so would be wise to learn the lessons FPGAs teach regarding on-chip and in-package memory structure. Those lessons include keeping the computation as close to the source of the data as possible, keeping the data as close to the computation as possible, and moving the data as few times as possible. All these concepts sound simple, but putting them into practice requires new and novel architectures, as well as fundamentally new memory technologies.

One such example is 3D Xpoint (3D crosspoint) persistent memory technology like Intel’s Optane and Micron’s QuantX. Compared with NAND flash, 3D Xpoint is much faster, with latencies more like RAM, and it brings higher longevity. Cost-wise, it is in between NAND flash and RAM, so it truly represents a new cost-performance point in the memory hierarchy, extending non-volatile storage up into the higher bandwidths.

As soon as we are out of the white-hot realm of in-package memory and into the realm of off-chip memory busses, we begin to be constrained by the assumptions of standard de-facto architectures. That makes it difficult to take advantage of new architectures such as 3D Xpoint. Intel’s initial solution to that is bundling Optane as part of a storage system, blending a smaller portion of Optane with a large amount of NAND flash or other non-volatile storage as a kind of cache. In the right balance, that would let systems take advantage of near-RAM latencies in their non-volatile storage.

However, to truly exploit the advantages of new technologies such as 3D Xpoint, we probably need to break down the traditional demarcation between what we consider “memory” and “storage.” Latency, throughput, persistence, density, and cost are likely to be more of a continuum that can be exploited at the system level, at the expense of traditional plug-and-play interfaces. Or, more versatile interfaces may emerge that will be able to take advantage of this new, finer-grained memory/storage hierarchy.

Orthogonal to the challenge of the continuity of the hierarchy is the question of access. In a homogeneous compute system such as one with conventional multi-core processors, the problem of memory access for the compute elements is much more straightforward than in emerging heterogeneous computing architectures. When different types of processing elements, such as larger and smaller conventional processor cores – or processors working together with accelerators such as FPGAs – need to share access across a memory/storage subsystem, the design and allocation of data pipes within that system can be one of the biggest challenges.

Each option one examines for putting accelerators in the data center, for example, presents challenges and compromises with efficiently getting the data where it needs to be. If the processor and accelerator are too far apart (such as with pools of FPGAs in some systems) the overall system performance can be constrained by memory and storage access, rather than by the performance of the accelerators themselves. When one begins to explore the issue of data location – from the hierarchy inside a logic device such as an FPGA, to package-based resources like HBM, then to board-level and enterprise-level memory/storage from DRAM to HDDs – the optimization problem can be overwhelming. Shifting away from the general case, however, and focusing on a specific application domain – such as neural network inferencing – can transform this from a black art into a manageable engineering problem.

Behind the scenes in the entire memory/storage question is the issue of power consumption. At every level of the IoT – from edge to data center and back – power consumption is becoming the key driver. At the edge, we often need ultra-low-power solutions that can run on battery or even harvested energy. In the data center, the key constraint is often the amount of energy the power company can deliver to the building. In each of those cases, the amount of energy consumed by memory and storage can be as important (or more important) than the energy consumed in computation. Each time we have to move data, we consume power. The earlier in the data path we can reduce, filter, and organize data for subsequent use, the more power we can save.

The challenge of memory architecture optimization is a system-level one. Looking at the problem from any given subsystem or element can give a misleading and incomplete picture and can lead to mis-optimization. As our computing infrastructure morphs into the distributed heterogeneous system that is taking shape today, we need to consider shifting our focus from processing to data. With data-centric thinking, we are likely to come up with new ways of computing that will dramatically outperform the aging architectures of today. It will be interesting to watch.



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References :


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Wordpress : http://wp.me/p7SJ6L-zw
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