Snapdragon is a family of mobile systems on a chip (SoC) by Qualcomm. Qualcomm considers Snapdragon a "platform" for use in smartphones, tablets, and smartbook devices.
ARM is a family of RISC-based microprocessors and microcontrollers designed by ARM Inc., Cambridge, England.
ARM chips are high-speed processors that are known for their small die size and low power requirements.
This session will provide an overview of the new Qualcomm® Snapdragon™ Automotive Development Platform (ADP), which offers the multiple, integrated capabilities of optimized Qualcomm Technologies, Inc., production-grade solutions in a single-board platform. The ADP enables rapid development, testing and deployment of next-generation infotainment apps and experiences for the emerging connected car opportunity. Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc.
Watch this presentation on YouTube:
https://www.youtube.com/watch?v=RMF3AQon3NU
Snapdragon is a family of mobile systems on a chip (SoC) by Qualcomm. Qualcomm considers Snapdragon a "platform" for use in smartphones, tablets, and smartbook devices.
ARM is a family of RISC-based microprocessors and microcontrollers designed by ARM Inc., Cambridge, England.
ARM chips are high-speed processors that are known for their small die size and low power requirements.
This session will provide an overview of the new Qualcomm® Snapdragon™ Automotive Development Platform (ADP), which offers the multiple, integrated capabilities of optimized Qualcomm Technologies, Inc., production-grade solutions in a single-board platform. The ADP enables rapid development, testing and deployment of next-generation infotainment apps and experiences for the emerging connected car opportunity. Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc.
Watch this presentation on YouTube:
https://www.youtube.com/watch?v=RMF3AQon3NU
This presentation gives brief description of Wi-Fi Technolgy, standards, applications,topologies, how Wi-Fi network works, security,advantages and innovations.
This session will provide a high-level overview of all of the tools and SDKs offered to Android developers via the Qualcomm Developer Network. Covered topics include Qualcomm® Adreno™ graphics profiler, Qualcomm® Snapdragon™ LLVM compiler, Trepn™ power profiler, Qualcomm® MARE parallelization library, Adreno SDK, AllJoyn™ software framework, Qualcomm®Vuforia™ SDK and more.
Watch this presentation on YouTube: https://www.youtube.com/watch?v=ItrzdkBmRJQ
Learn more about Android Tools for Snapdragon processors at Qualcomm Developer Network: https://developer.qualcomm.com/
Wireless USB products are finally arriving at the market and in this article you will learn more about this technology and see some usage examples. The goals of wireless USB is to connect peripherals such as printers, externals hard disk drives, sound cards, media players and even video monitors to the PC wirelessly. This can be done by to forms.
If the PC and the device don’t have native support to WUSB, you must install a dongle to convert are standard USB ports in to WUSB.
The maximum theoretical transfer rate from WUSB in this same as USB 2.0:480mpbs if the device is within 3 meters from the PC or 110mpbs from the PC. As you can see, the more distant the devices are from the PC, lower is the transfer rate.
Bluetooth is another wireless technology that allows the connection between the PC and peripherals without wires. At this time, however, Bluetooth is targeted to low speed devices only, as its maximum transfer rate is of 1 Mpbs (128 kb\s) or 3Mpbs (384MB\s), depending on the Bluetooth generation.
The next Bluetooth generation is scheduled to have the same transfer rate as WUSB, but this technology is not yet available. Wireless USB works on the UWB frequency range, while Bluetooth technology works on 2.4GHz frequency, the same use by IEEE 802.11 wireless network.
OMAP (Open Multimedia Applications Platform) is a series of image/video processors developed by Texas Instruments. this ppt gives the overview of OMAP processor family
MOBILE PROCESSORS IN NOWADAYS AVAILABLE MOBILE AND TABLETS.Today’s smartphone and mobile processors are very powerful, so powerful that it is almost as powerful as a desktop computer. Processors are now coming up with more cores. Initially it was Single core, and then came Dual core; we now have Quad core, Hexa core and even Octa core. Most processors are 64 bit now as against 32 bit when it started initially. The processing speed has reached up to 3.0 -3.5 GHz. The ability to include GPU (Graphic Processing Unit) inside mobile processors has enabled devices to churn out the best graphics picture, 3D capability, Virtual Reality capability and 4k recording. The improved processor technology also made today’s modern mobile devices more power efficient. In this article we will learn different processor used in mobile, tablet, and laptops.
Presentation explain the difference between Intel i3, i5 and i7 processors. One would be able to choose the processor selection once he understand the basic difference between them.
Intel® Xeon® Scalable Processors Enabled Applications Marketing GuideIntel IT Center
The Future-Ready Data Center platform is here. Whether you navigate in the High Performance Computing, Enterprise, Cloud, or Communications spheres, you will find an Intel® Xeon® processor that is ready to power your data center now and well into the future. An innovative approach to platform design in the Intel® Xeon® Scalable processor platform unlocks the power of scalable performance for today’s data centers—from the smallest workloads to your most mission-critical applications. Powerful convergence and capabilities across compute, storage, memory, network and security deliver unprecedented scale and highly optimized performance across a broad range of workloads—from high performance computing (HPC) and network functions virtualization, to advanced analytics and artificial intelligence (AI). Many examples here show how our software partner ecosystem has optimized their applications and/or taken advantage of inherent platform enhancements to deliver dramatic performance gains, that can translate into tangible business benefits.
Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase – Big D...Intel IT Center
This Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase focuses on Big Data/Analytics software companies who have seen preformance increases with Intel products.
This presentation gives brief description of Wi-Fi Technolgy, standards, applications,topologies, how Wi-Fi network works, security,advantages and innovations.
This session will provide a high-level overview of all of the tools and SDKs offered to Android developers via the Qualcomm Developer Network. Covered topics include Qualcomm® Adreno™ graphics profiler, Qualcomm® Snapdragon™ LLVM compiler, Trepn™ power profiler, Qualcomm® MARE parallelization library, Adreno SDK, AllJoyn™ software framework, Qualcomm®Vuforia™ SDK and more.
Watch this presentation on YouTube: https://www.youtube.com/watch?v=ItrzdkBmRJQ
Learn more about Android Tools for Snapdragon processors at Qualcomm Developer Network: https://developer.qualcomm.com/
Wireless USB products are finally arriving at the market and in this article you will learn more about this technology and see some usage examples. The goals of wireless USB is to connect peripherals such as printers, externals hard disk drives, sound cards, media players and even video monitors to the PC wirelessly. This can be done by to forms.
If the PC and the device don’t have native support to WUSB, you must install a dongle to convert are standard USB ports in to WUSB.
The maximum theoretical transfer rate from WUSB in this same as USB 2.0:480mpbs if the device is within 3 meters from the PC or 110mpbs from the PC. As you can see, the more distant the devices are from the PC, lower is the transfer rate.
Bluetooth is another wireless technology that allows the connection between the PC and peripherals without wires. At this time, however, Bluetooth is targeted to low speed devices only, as its maximum transfer rate is of 1 Mpbs (128 kb\s) or 3Mpbs (384MB\s), depending on the Bluetooth generation.
The next Bluetooth generation is scheduled to have the same transfer rate as WUSB, but this technology is not yet available. Wireless USB works on the UWB frequency range, while Bluetooth technology works on 2.4GHz frequency, the same use by IEEE 802.11 wireless network.
OMAP (Open Multimedia Applications Platform) is a series of image/video processors developed by Texas Instruments. this ppt gives the overview of OMAP processor family
MOBILE PROCESSORS IN NOWADAYS AVAILABLE MOBILE AND TABLETS.Today’s smartphone and mobile processors are very powerful, so powerful that it is almost as powerful as a desktop computer. Processors are now coming up with more cores. Initially it was Single core, and then came Dual core; we now have Quad core, Hexa core and even Octa core. Most processors are 64 bit now as against 32 bit when it started initially. The processing speed has reached up to 3.0 -3.5 GHz. The ability to include GPU (Graphic Processing Unit) inside mobile processors has enabled devices to churn out the best graphics picture, 3D capability, Virtual Reality capability and 4k recording. The improved processor technology also made today’s modern mobile devices more power efficient. In this article we will learn different processor used in mobile, tablet, and laptops.
Presentation explain the difference between Intel i3, i5 and i7 processors. One would be able to choose the processor selection once he understand the basic difference between them.
Intel® Xeon® Scalable Processors Enabled Applications Marketing GuideIntel IT Center
The Future-Ready Data Center platform is here. Whether you navigate in the High Performance Computing, Enterprise, Cloud, or Communications spheres, you will find an Intel® Xeon® processor that is ready to power your data center now and well into the future. An innovative approach to platform design in the Intel® Xeon® Scalable processor platform unlocks the power of scalable performance for today’s data centers—from the smallest workloads to your most mission-critical applications. Powerful convergence and capabilities across compute, storage, memory, network and security deliver unprecedented scale and highly optimized performance across a broad range of workloads—from high performance computing (HPC) and network functions virtualization, to advanced analytics and artificial intelligence (AI). Many examples here show how our software partner ecosystem has optimized their applications and/or taken advantage of inherent platform enhancements to deliver dramatic performance gains, that can translate into tangible business benefits.
Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase – Big D...Intel IT Center
This Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase focuses on Big Data/Analytics software companies who have seen preformance increases with Intel products.
Intel's Data Center & Connected Systems Group and Diane Bryant shares the latest news on the latest Intel Xeon E5v2 family of processors and technologies like Intel Network Builders to enable the re-architecture of the Data Center.
Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase - Fin...Intel IT Center
This Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase focuses on Financial Services software companies who have seen preformance increases with Intel products.
Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase - Tec...Intel IT Center
This Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase focuses on Technical Computing software companies who have seen performance increases with Intel products.
E5 Intel Xeon Processor E5 Family Making the Business Case Intel IT Center
This presentation highlights cloud computing advantages of the Intel® Xeon® processor E5 family and helps you make the business case for investing. Includes access to an ROI calculator.
HPC DAY 2017 | Accelerating tomorrow's HPC and AI workflows with Intel Archit...HPC DAY
HPC DAY 2017 - http://www.hpcday.eu/
Accelerating tomorrow's HPC and AI workflows with Intel Architecture
Atanas Atanasov | HPC solution architect, EMEA region at Intel
Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase - Telec...Intel IT Center
This Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase focuses on Telecommunications and Cloud software companies who have seen performance increases with Intel products.
Spring Hill (NNP-I 1000): Intel's Data Center Inference Chipinside-BigData.com
Today at Hot Chips 2019, Intel revealed new details of upcoming high-performance AI accelerators: Intel Nervana neural network processors, with the NNP-T for training and the NNP-I for inference. Intel engineers also presented technical details on hybrid chip packaging technology, Intel Optane DC persistent memory and chiplet technology for optical I/O.
"To get to a future state of ‘AI everywhere,’ we’ll need to address the crush of data being generated and ensure enterprises are empowered to make efficient use of their data, processing it where it’s collected when it makes sense and making smarter use of their upstream resources," said Naveen Rao, Intel vice president and GM, Artificial Intelligence Products Group. "Data centers and the cloud need to have access to performant and scalable general purpose computing and specialized acceleration for complex AI applications. In this future vision of AI everywhere, a holistic approach is needed—from hardware to software to applications.”
Learn more: https://www.intel.ai/accelerating-for-ai/?elq_cid=1192980
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Streamline End-to-End AI Pipelines with Intel, Databricks, and OmniSciIntel® Software
Preprocess, visualize, and Build AI Faster at-Scale on Intel Architecture. Develop end-to-end AI pipelines for inferencing including data ingestion, preprocessing, and model inferencing with tabular, NLP, RecSys, video and image using Intel oneAPI AI Analytics Toolkit and other optimized libraries. Build at-scale performant pipelines with Databricks and end-to-end Xeon optimizations. Learn how to visualize with the OmniSci Immerse Platform and experience a live demonstration of the Intel Distribution of Modin and OmniSci.
Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase - Core ...Intel IT Center
This Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase focuses on Core Business Applicatoins software companies who have seen preformance increases with Intel products.
Webinář: Dell VRTX - datacentrum vše-v-jednom za skvělou cenu / 7.10.2013Jaroslav Prodelal
Dokážete si představit, že byste provozovali své datacentrum v prostředí kanceláře? Ano, je to možné. Společnost Dell uvedla na trh novinku v podobě tzv. datacenter-in-a-box (vše-v-jednom), které je optimalizované (odhlučnění, napájení) pro provoz i v kanceláři, samozřejmě jej můžete dát i do samostatné místnosti.
Dell VRTX kombinuje v jediném 5U šasí výpočetní výkon (až 4 2-CPU servery), diskové úložiště (až 24 HDD) a síť.
Ve webináři vás seznámíme s touto cenově velmi zajímavou novinkou a ukážeme rozdíl mezi tímto řešením a případnými alternativami v době samostaných serverů, diskového pole a síťových switchů.
Agenda:
* co je Dell VRTX?
* segment zákazníků pro VRTX
* co VRTX nabízí
* řešení provozované na VRTX
* technické specifikace
* možná použití
* cena
* aktuální nabídky a promo akce
How Intel Xeon CPUs enable smarter IoT solutions across various power and industrial use case requirements. Intel's 10/26/17 Advantech Solution Day presentation by Stephen Chenoweth.
Event details: http://www.advantech-eautomation.com/eMarketingPrograms/Server_SolutionDay/
Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase - Data ...Intel IT Center
This Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase focuses on Data Center Optimization & Security software companies who have seen preformance increases with Intel products.
Similar to Intel xeon-scalable-processors-overview (20)
The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. The annual report tracks, collates, distills, and visualizes data relating to artificial intelligence, enabling decision-makers to take meaningful action to advance AI responsibly and ethically with humans in mind.
Intel Blockscale ASICs are built for the demanding environment of cryptocurrency mining. Each ASIC has built-in temperature and voltage sensor capabilities. The accelerator can be operated across a range of frequencies, enabling system designers to balance performance and efficiency.
Cryptography Processing with 3rd Gen Intel Xeon Scalable ProcessorsDESMOND YUEN
Cryptographic operations are amongst the most compute intensive and critical operations applied to data as it is stored, moved, and processed. Comprehending Intel's cryptography processing acceleration is essential to optimizing overall platform workload, and service performance.
At Intel, security comes first both in the way we work and in what we work on. Our culture and practices guide everything we build, with the goal of delivering the highest performance and optimal protections. As with previous reports, the 2021 Intel Product Security Report demonstrates our Security First Pledge and our endless efforts to proactively seek out and mitigate security issues.
How can regulation keep up as transformation races ahead? 2022 Global regulat...DESMOND YUEN
As the pandemic drags into its third year, financial services firms face a range of challenges, from increased operational complexity and an evolving regulatory directive to address environmental and social issues to new forms of competition
and evolving technologies, such as digital assets and cryptocurrencies. Banks, insurers, asset managers and other financial services firms (collectively referred to as “firms” in
the rest of this document) must innovate more effectively — and rapidly — to keep up with the pace of change while still identifying emerging risks and building appropriate governance and controls.
NASA Spinoffs Help Fight Coronavirus, Clean Pollution, Grow Food, MoreDESMOND YUEN
NASA's mission of exploration requires new technologies, software, and research – which show up in daily life. The agency’s Spinoff 2022 publication tells the stories of companies, start-ups, and entrepreneurs transforming these innovations into cutting-edge products and services that boost the economy, protect the planet, and save lives.
“The value of NASA is not confined to the cosmos but realized throughout our country – from hundreds of thousands of well-paying jobs to world-leading climate science, understanding the universe and our place within it, to technology transfers that make life easier for folks around the world,” NASA Administrator Bill Nelson said. “As we combat the coronavirus pandemic and promote environmental justice and sustainability, NASA technology is essential to address humanity’s greatest challenges.”
Spinoff 2022 features more than 45 companies using NASA technology to advance manufacturing techniques, detoxify polluted soil, improve weather forecasting, and even clean the air to slow the spread of viruses, including coronavirus.
"NASA's technology portfolio contains many innovations that not only enable exploration but also address challenges and improve life here at home," said Jim Reuter, associate administrator of the agency’s Space Technology Mission Directorate (STMD) in Washington. "We’ve captured these examples of successful commercialization of NASA technology and research, not only to share the benefits of the space program with the public, but to inspire the next generation of entrepreneurs."
This year in Spinoff, readers will learn more about:
How companies use information from NASA’s vertical farm to sustainably grow fresh produce
New ways that technology developed for insulation in space keeps people warm in the great outdoors
How a system created for growing plants in space now helps improve indoor air quality and reduces the spread of airborne viruses like coronavirus
How phase-change materials – originally developed to help astronauts wearing spacesuits – absorb, hold, and release heat to help keep race car drivers cool
A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet o...DESMOND YUEN
Internet of Things (IoT) is an innovative paradigm
envisioned to provide massive applications that are now part of
our daily lives. Millions of smart devices are deployed within
complex networks to provide vibrant functionalities including
communications, monitoring, and controlling of critical infrastructures. However, this massive growth of IoT devices and the corresponding huge data traffic generated at the edge of the network created additional burdens on the state-of-the-art
centralized cloud computing paradigm due to the bandwidth and
resources scarcity. Hence, edge computing (EC) is emerging as
an innovative strategy that brings data processing and storage
near to the end users, leading to what is called EC-assisted IoT.
Although this paradigm provides unique features and enhanced
quality of service (QoS), it also introduces huge risks in data security and privacy aspects. This paper conducts a comprehensive survey on security and privacy issues in the context of EC-assisted IoT. In particular, we first present an overview of EC-assisted IoT including definitions, applications, architecture, advantages, and challenges. Second, we define security and privacy in the context of EC-assisted IoT. Then, we extensively discuss the major classifications of attacks in EC-assisted IoT and provide possible solutions and countermeasures along with the related research efforts. After that, we further classify some security and privacy issues as discussed in the literature based on security services and based on security objectives and functions. Finally, several open challenges and future research directions for secure EC-assisted IoT paradigm are also extensively provided.
PUTTING PEOPLE FIRST: ITS IS SMART COMMUNITIES AND CITIESDESMOND YUEN
The report covers the benefits, goals, challenges, and success factors associated with smart cities and communities and gives a glimpse of a path forward.
BUILDING AN OPEN RAN ECOSYSTEM FOR EUROPEDESMOND YUEN
Five companies—Deutsche Telekom, Orange, Telecom Italia, Telefónica, and Vodafone—published a report outlining why they feel Europe as a whole is lagging behind other regions such as the U.S. and Japan in developing Open RAN. The companies point to both a lack of companies developing key components, notably silicon chips, for Open RAN technologies, as well as the need to get incumbent equipment vendors Ericsson and Nokia on board with Open RAN development.
An Introduction to Semiconductors and IntelDESMOND YUEN
Did you know that...
The average American adult spends over 12 hours a day engaged with electronics — computers, mobile devices, TVs, cars, to name just a few — powered by semiconductors.
A common chip the size of your smallest fingernail is only about 1-millimeter thick but contains roughly 30 different layers of components and wires (called interconnects) that make up its complex circuitry.
Intel owns nearly 70,000 active patents worldwide. Its first — “Resistor for Integrated Circuit,” #3,631,313 — was granted to Gordon Moore on Dec. 28, 1971.
Those are a few fun facts in a high-level presentation that provides an easy-to-understand look at the world of semiconductors, why they matter and the role Intel plays in their creation.
Changing demographics and economic growth bloomDESMOND YUEN
Demography is destiny” is an oft-cited phrase that suggests the size, growth, and structure of a nation’s population deter mines its long-term social, economic, andpolitical fabric. The phrase highlights the role of
demographics in shaping many complex challenges
and opportunities societies face, including several
pertinent to economic growth and development.
Nevertheless, it is an overstatement to say that
demography determines all, as it downplays the
fact that both demographic trajectories and their
development implications are responsive to economic
incentives; to policy and institutional reforms; and to
changes in technology, cultural norms, and behavior.
The world is undergoing a major demographic
upheaval with three key components: population
growth, changes in fertility and mortality, and
associated changes in population age structure.
Intel Corporation (“Intel”) designs and manufactures
advanced integrated digital technology platforms that power
an increasingly connected world. A platform consists of
a microprocessor and chipset, and may be enhanced by
additional hardware, software, and services. The platforms
are used in a wide range of applications, such as PCs, laptops,
servers, tablets, smartphones, automobiles, automated
factory systems, and medical devices. Intel is also in the midst
of a corporate transformation that has seen its data-centric
businesses capture an increasing share of its revenue.
This report provides economic impact estimates for Intel in terms of employment, labor income, and gross domestic product (“GDP”) for the most recent historical year, 2019.1
Discover how private 5G networks can give enterprises options to enhance services and deliver new use cases with the level of control and investment they want.
Tackle more data science challenges than ever before without the need for discrete acceleration with the 3rd Gen Intel® Xeon® Scalable processors. Learn about the built-in AI acceleration and performance optimizations for popular AI libraries, tools and models.
The document describes how the latest Intel® Advanced Vector Extensions 512 (Intel® AVX-512) instructions and Intel® Advanced Encryption Standard New Instructions (Intel® AES-NI) enabled in the latest Intel® 3rd Generation Xeon® Scalable Processor are used to significantly increase and achieve 1 Tb of IPsec throughput.
"Life and Learning After One-Hundred Years: Trust Is The Coin Of The Realm."DESMOND YUEN
The former secretary of state George Shultz passed away last weekend. He is one of the most influential secretaries of state in US history. Around the time of his hundredth birthday this past December, he published a short book on Trust and Effective Relationships
Telefónica views on the design, architecture, and technology of 4G/5G Open RA...DESMOND YUEN
This whitepaper is a blueprint for developing an Open RAN solution. It provides an overview of the main
technology elements that Telefónica is developing
in collaboration with selected partners in the Open
RAN ecosystem.
It describes the architectural elements, design
criteria, technology choices, and key chipsets
employed to build a complete portfolio of radio
units and baseband equipment capable of a full
4G/5G RAN rollout in any market of interest.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
2. CloudEconomics Intelligentdata
practices
Businessopportunityfueledbydatacenterinnovation
Data Center
Growth
Drivers
2
UNLEASH ANALYTICS,
AI & HPC TO
ACCELERATE
INSIGHTS
ACCELERATE
DEPLOYMENT OF CLOUD
INFRASTRUCTURE
TRANSFORM
ALL
NETWORKS
AI is the fastest growing
datacenter workload3
114% NFV/SDN CAGR
from 2014- 20202
18% CAGR from
2017-20201
1. Source: IDC Q4’16 Cloud Infrastructure Tracker
2. Source: Technology Business Research, Sept 2015
3. Source: Amalgamation of Intel financials, analyst data and Intel analysis, Intel revenue includes FPGAs.
3. Intel®Xeon®ScalableplatformThe foundation of Data Center Innovation:
Agile & Trusted Infrastructure
delivers1.65xaverageperformanceboostoverpriorGeneration1
3
1 Up to 1.65x Geomean based on Normalized Generational Performance going from Intel® Xeon® processor E5-26xx v4 to Intel® Xeon® Scalable processor (estimated based on Intel internal testing of OLTP
Brokerage, SAP SD 2-Tier, HammerDB, Server-side Java, SPEC*int_rate_base2006, SPEC*fp_rate_base2006, Server Virtualization, STREAM* triad, LAMMPS, DPDK L3 Packet Forwarding, Black-Scholes, Intel
Distribution for LINPACK
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific
computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully
evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to http://www.intel.com/performance Intel does not control or audit the
design or implementation of third party benchmark data or Web sites referenced in this document. Intel encourages all of its customers to visit the referenced Web sites or others where similar performance benchmark
data are reported and confirm whether the referenced benchmark data are accurate and reflect performance of systems available for purchase.
Performance
Pervasive through compute,
storage, and network
Agility
Rapid service delivery
Security
Pervasive data security with
near zero performance
overhead
5. 5
Maximizes performance
Enables consistent, low latencies
Optimized for data sharing and
memory access between all CPU
cores/threads for ideal memory
bandwidth and capacity
Data flows scale efficiently for
2, 4 & 8+ socket configurations
Designed for modern virtualized
and hybrid cloud implementations
Designedfornext-generationDataCenters
Ring Architecture
Mesh Architecture
2009-2017+
New in 2017
7. comms
Cloud
Enterprise
Intel® Xeon® Scalable processor
with Server PCH + QAT
Application&ArchitecturalLevelPerformanceComparison
Results have been estimated based on internal Intel analysis and are provided for informational purposes only. Any difference in system hardware or software design or configuration may affect actual performance. Software and workloads used in performance tests may
have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the
results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to
http://www.intel.com/performance/datacenter.
CPU
PCH
QAT
1.0 1.0 1.0 1.0 1.0
2.52
1.85
2.42 2.49
1.25
0.0
0.5
1.0
1.5
2.0
2.5
3.0
Relative IPSec Relative VPP router Relative Open SSL PKI Change to TLS Web
server
Relative vCG-NAT
Intel® Xeon®
Processor E5-2699
v4 (BDW)
Intel® Xeon®
Platinum 8180
Processor (SKX-SP)
Next gen Accelerator + IO
Improvements
Next gen Accelerator + IO
Improvements
7
8. 8
• Intel Optane SSD P4800 Series:
High performance, low latency storage
• Intel® Volume Management Device: Hot-swap
of drives with standardized LED management
• Software tools for optimized storage
• Intel® Intelligent Storage Acceleration Library (ISA-L)
• Intel® Storage Performance Development Kit (SPDK)
Intel®Xeon®PlatinumandIntel®Optane™SSDsfor
STORAGEinfrastructure
Business impact
Faster data analytics results
More complex analyses
Deeper data insights
2Xperformanceincrease
Vspriorgeneration1
1 2x claim based on SAS BusinessAnalytics: SAS 9.4 m4 application running the 30 session SAS MixedAnalytics workload. OS: CentOS 7.2 kernel 3.10.0. Testing by Intel and SAS May 2017. Software and workloads used in performance tests may
have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to
any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with
other products. For more complete information visit http://www.intel.com/performance. *Other names and brands may be claimed as the property of others.
9. MostagileAIplatform
Intel®Xeon®ScalableprocessorsforAIScalable performance for widest variety of AI & other datacenter workloads – including deep learning
Built-inROI
Begin your AI journey today using
existing, familiar infrastructure
Potentperformance
Train in days HOURS with up to 113X2 perf vs.
Intel Xeon processor E5 v3 (2.2x excluding
optimized SW1)
Production-ready
Robust support for full range of
AI deployments
1,2Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems,
components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases,
including the performance of that product when combined with other products. For more complete information visit: http://www.intel.com/performance Source: Intel measured as of November 2016. Optimization Notice: Intel's compilers may or
may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not
guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain
optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.
Notice Revision #20110804. See slide 15 for configuration details.
9
12. Architectedfor
TheDATACenter
UnmatchedGlobal
ECOSYSTEM
12
• Up to 1.65X average generational
gains1
• Up to 8.2X boost in HPC over
installed base2
THEIntel®Xeon®SCALABLEDATACENTERADVANTAGE
• Single-die implementation
maximizes performance and
reduces latency
• Workload optimized acceleration
• Intel Select Solutions
• Decades of investment in
software, validation, optimizations
and security
• Intel® Architecture advantage: Fully
interoperable with other Intel
virtualized server pools and
products
1 Up to 1.65x Geomean based on Normalized Generational Performance going from Intel® Xeon® processor E5-26xx v4 to Intel® Xeon® Scalable processor (estimated based on Intel internal testing of OLTP Brokerage, SAP SD 2-Tier,
HammerDB, Server-side Java, SPEC*int_rate_base2006, SPEC*fp_rate_base2006, Server Virtualization, STREAM* triad, LAMMPS, DPDK L3 Packet Forwarding, Black-Scholes, Intel Distribution for LINPACK
2 Up to 8.2x claim based on Intel® Distribution for LINPACK Benchmark: 1-Node, 2 x Intel® Xeon® Processor E5-2690 on Intel® Server Board S2600CP2 with 32 GB Total Memory on Red Hat Enterprise Linux* 6.0 (Santiago) kernel version
2.6.32-504.el6.x86_64 using Intel® Distribution for LINPACK Benchmark using 56000 problem size. Score: 366.0 GFLOPS/s vs. 1-Node, 2 x Intel® Xeon® Platinum 8180 Processor on Purley-EP (Lewisburg) with 192 GB Total Memory on
Ubuntu 17.04 using MKL 2017 Update 2. Data Source: Request Number: 2535, Benchmark: Intel® Distribution for LINPACK Benchmark, Score: 3007.8 GFLOPS/s Higher is better.
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components,
software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the
performance of that product when combined with other products. 2 Source as of June 2017: results estimated or published at www.spec.orgFor more complete information visit www.intel.com/benchmarks. Configuration: Refer to Performance
Benchmark Disclosure slide. Results have been estimated or simulated using internal Intel analysis or architecture simulation or modeling, and provided to you for informational purposes. Any differences in your system hardware, software or
configuration may affect your actual performance. *Other names and brands may be claimed as the property of others.
PROVENPerformance
andInnovation
AnothermajormilestoneforIntel’s20+yearsofdatacenter innovation
15. OPTIMIZATIONNOTICE
Optimization Notice: Intel's compilers may or may not optimize to the same degree for non-Intel
microprocessors for optimizations that are not unique to Intel microprocessors. These
optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does
not guarantee the availability, functionality, or effectiveness of any optimization on
microprocessors not manufactured by Intel.
Microprocessor-dependent optimizations in this product are intended for use with Intel
microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel
microprocessors. Please refer to the applicable product User and Reference Guides for more
information regarding the specific instruction sets covered by this notice.
Notice revision #20110804
16. PERFORMANCEDISCLOSURES[1/2]Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors.
Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors
may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of
that product when combined with other products. For more complete information visit www.intel.com/benchmarks.
Results are based on internal testing and are provided to you for informational purposes. Any differences in your system hardware, software or configuration may affect your actual
performance.
Up to 4.2x more VMs based on virtualization consolidation workload: Based on Intel® internal estimates 1-Node, 2 x Intel® Xeon® Processor E5-2690 on Romley-EP with 256 GB Total Memory on VMware ESXi* 6.0 GA using
Guest OS RHEL6.4, glassfish3.1.2.2, postgresql9.2. Data Source: Request Number: 1718, Benchmark: server virtualization workload, Score: 377.6 @ 21 VMs Higher is better vs. 1-Node, 2 x Intel® Xeon® Platinum 8180 Processor
on Wolf Pass SKX with 768 GB Total Memory on VMware ESXi6.0 U3 GA using Guest VM's utilize RHEL 6 64bit OS. Data Source: Request Number: 2563, Benchmark: server virtualization workload, Score: 1580 @ 90 VMs Higher
is better.
Up to 8.2x claim based on Intel® Distribution for LINPACK Benchmark: 1-Node, 2 x Intel® Xeon® Processor E5-2690 on Intel® Server Board S2600CP2 with 32 GB Total Memory on Red Hat Enterprise Linux* 6.0 (Santiago)
kernel version 2.6.32-504.el6.x86_64 using Intel® Distribution for LINPACK Benchmark using 56000 problem size. Score: 366.0 GFLOPS/s vs. 1-Node, 2 x Intel® Xeon® Platinum 8180 Processor on Purley-EP (Lewisburg) with 192
GB Total Memory on Ubuntu 17.04 using MKL 2017 Update 2. Data Source: Request Number: 2535, Benchmark: Intel® Distribution for LINPACK Benchmark, Score: 3007.8 GFLOPS/s Higher is better.
Up to 1.65x Geomean based on Normalized Generational Performance going from Intel® Xeon® processor E5-26xx v4 to Intel® Xeon® Scalable processor (estimated based on Intel internal testing of OLTP Brokerage, SAP SD 2-
Tier, HammerDB, Server-side Java, SPEC*int_rate_base2006, SPEC*fp_rate_base2006, Server Virtualization, STREAM* triad, LAMMPS, DPDK L3 Packet Forwarding, Black-Scholes, Intel Distribution for LINPACK
Up to 2.2x and 113x AI performance. Platform: 2S Intel® Xeon® Platinum 8180 CPU @ 2.50GHz (28 cores), HT disabled, turbo disabled, scaling governor set to “performance” via intel_pstate driver, 384GB DDR4-2666 ECC RAM.
CentOS Linux release 7.3.1611 (Core), Linux kernel 3.10.0-514.10.2.el7.x86_64. SSD: Intel® SSD DC S3700 Series (800GB, 2.5in SATA 6Gb/s, 25nm, MLC).Performance measured with: Environment variables:
KMP_AFFINITY='granularity=fine, compact‘, OMP_NUM_THREADS=56, CPU Freq set with cpupower frequency-set -d 2.5G -u 3.8G -g performance. Compared with Platform: 2S Intel® Xeon® CPU E5-2699 v3 @ 2.30GHz (18
cores), HT enabled, turbo disabled, scaling governor set to “performance” via intel_pstate driver, 256GB DDR4-2133 ECC RAM. CentOS Linux release 7.3.1611 (Core), Linux kernel 3.10.0-514.el7.x86_64. OS drive: Seagate*
Enterprise ST2000NX0253 2 TB 2.5" Internal Hard Drive.Performance measured with: Environment variables: KMP_AFFINITY='granularity=fine, compact,1,0‘, OMP_NUM_THREADS=36, CPU Freq set with cpupower frequency-set -
d 2.3G -u 2.3G -g performance. Intel Caffe: (http://github.com/intel/caffe/), revision b0ef3236528a2c7d2988f249d347d5fdae831236. Inference measured with “caffe time --forward_only” command, training measured with “caffe time”
command. For “ConvNet” topologies, dummy dataset was used. For other topologies, data was stored on local storage and cached in memory before training. Topology specs from
https://github.com/intel/caffe/tree/master/models/intel_optimized_models (GoogLeNet, AlexNet, and ResNet-50), GCC 4.8.5, MKLML version 2017.0.2.20170110. BVLC-Caffe: https://github.com/BVLC/caffe, Inference & Training
measured with “caffe time” command. For “ConvNet” topologies, dummy dataset was used. For other topologies, data was st ored on local storage and cached in memory before training BVLC Caffe (http://github.com/BVLC/caffe),
revision 91b09280f5233cafc62954c98ce8bc4c204e7475 (commit date 5/14/2017). BLAS: atlas ver. 3.10.1.
Platform: 2S Intel® Xeon® Platinum 8180 CPU @ 2.50GHz (28 cores), HT disabled, turbo disabled, scaling governor set to “performance” via intel_pstate driver, 384GB DDR4-2666 ECC RAM. CentOS Linux release 7.3.1611 (Core),
Linux kernel 3.10.0-514.10.2.el7.x86_64. SSD: Intel® SSD DC S3700 Series (800GB, 2.5in SATA 6Gb/s, 25nm, MLC).Performance measured with: Environment variables: KMP_AFFINITY='granularity=fine, compact‘,
OMP_NUM_THREADS=56, CPU Freq set with cpupower frequency-set -d 2.5G -u 3.8G -g performance. Compared with Platform: 2S Intel® Xeon® CPU E5-2699 v4 @ 2.20GHz (22 cores), HT enabled, turbo disabled, scaling
governor set to “performance” via acpi-cpufreq driver, 256GB DDR4-2133 ECC RAM. CentOS Linux release 7.3.1611 (Core), Linux kernel 3.10.0-514.10.2.el7.x86_64. SSD: Intel® SSD DC S3500 Series (480GB, 2.5in SATA 6Gb/s,
20nm, MLC). Performance measured with: Environment variables: KMP_AFFINITY='granularity=fine, compact,1,0‘, OMP_NUM_THREADS=44, CPU Freq set with cpupower frequency-set -d 2.2G -u 2.2G -g performance. Neon:
ZP/MKL_CHWN branch commit id:52bd02acb947a2adabb8a227166a7da5d9123b6d. Dummy data was used. The main.py script was used for benchmarking , in mkl mode. ICC version used : 17.0.3 20170404, Intel MKL small
libraries version 2018.0.20170425; Inference and training throughput uses FP32 instructions
17. PERFORMANCEDISCLOSURES[2/2]
Intel® Xeon® Platinum processor “Best Performance, Hardware-Enhanced Security, Outstanding Business Agility”: Comparing Intel® Xeon®
Platinum processor vs. Intel® Xeon® Gold processor including core count, socket support and other platform capabilities. Results have been
estimated based on internal Intel analysis and are provided for informational purposes only.
Intel® Xeon® Gold processor “Great Performance, Fast Memory, More Interconnect/Accelerator Engines, Advanced Reliability”: Comparing
Intel® Xeon® Gold processor vs. Intel® Xeon® Silver processor including core count, socket support and other platform capabilities. Results
have been estimated based on internal Intel analysis and are provided for informational purposes only.
Intel® Xeon® Silver processor “Efficient Performance”: Comparing Intel® Xeon® Silver processor vs. Intel® Xeon® Bronze
processor including core count, socket support and other platform capabilities. Results have been estimated based on
internal Intel analysis and are provided for informational purposes only.
Intel® Xeon® Bronze processor “Entry Performance”: Comparing Intel® Xeon® Bronze processor vs. Intel® Xeon® processor E3-1200 v6
processor including core count, socket support and other platform capabilities. Results have been estimated based on internal Intel analysis
and are provided for informational purposes only.