Get ready to dive into the exciting world of IoT data processing! đđ
Join us for a thought-provoking webinar on "Processing: Turning IoT Data into Intelligence" hosted by industry visionary Deepak Shankar, founder of Mirabilis Design. Discover how to harness the potential of IoT devices by strategically choosing processors that optimize power, performance, and space.
In this engaging session, you'll explore key insights:
â Impact of processor architecture on Power-Performance-Area optimization
â Enabling AI and ML algorithms through precise compute and storage requirements
â Future trends in IoT hardware innovation
â Strategies for extending battery life and cost prediction through system design
Don't miss the chance to learn how to leverage a single IoT Edge processor for multiple applications and much more. This is your opportunity to gain a competitive edge in the evolving IoT landscape.
Accelerated adoption of Internet of Things (IoT) with In-network computing an...Infosys
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In-network computing gives you the ability to compute at a particular point in the network where it can deliver maximum value. This opens new avenues of how applications and services are conceptualized or implemented, harvesting the benefits of distributed computing. In-network computing has significant benefits for the network infrastructure as it improves latency for end user/ devices while it also reduces the network traffic to a great extent. Emerging technologies like IoT and its application can immensely benefit by using In-network computing technology in conjunction with cloud technologies.
Task allocation on many core-multi processor distributed systemDeepak Shankar
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Migration of software from a single to multi-core, single to multi-thread, and integrated into a distributed system requires a knowledge of the system and scheduling algorithms. The system consists of a combination of hardware, RTOS, network, and traffic profiles. Of the 100+ popular scheduling algorithms, the majority use First Come-First Server with priority and preemption, Weight Round Robin, and Slot-based. The task allocation must take into consideration a number of factors including the hardware configuration, the RTOS scheduling, task dependency, parallel partitioning, shared resources, and memory access. Additionally, embedded system architectures always have the possibility of using custom hardware to implement tasks that may be associated with Artificial Intelligence, diagnostic or image processing.
In this Webinar, we will show you how to conduct trade-offs using a system model of the tasks and the target resources. You will learn to make decisions based on the hardware and network statistics. The statistics will assist in identifying deadlocks, bottlenecks, possible failures and hardware requirements. To estimate the best task allocation and partitioning, a discrete-event simulation with both time- and quantity-shared resource modeling is essential. The software must be defined as a UML or a task graph.
Web: www.mirabilisdesign.com
Webinar Youtube Link: https://youtu.be/ZrV39SYTWSc
Visualizing Your Network Health - Driving Visibility in Increasingly Complex...DellNMS
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Dell Performance Monitoring Network Management solutions can provide your IT department with the affordable, in-depth visibility and actionable monitoring needed to manage network infrastructure complexity.
Join our webcast to learn how:
⢠Dynamic discovery of equipment provides the ability to map current location, configuration and interdependencies.
⢠Real-time visibility across network infrastructures can help ensure availability and performance.
⢠Actionable information about network health, faults, bandwidth hogs and performance issues reduces the mean-time-to-resolution.
⢠Proactive analysis can pinpoint the root cause of intermittent, hard to find problems.
Visualizing and optimizing your network is easier than you think
Accelerated adoption of Internet of Things (IoT) with In-network computing an...Infosys
Â
In-network computing gives you the ability to compute at a particular point in the network where it can deliver maximum value. This opens new avenues of how applications and services are conceptualized or implemented, harvesting the benefits of distributed computing. In-network computing has significant benefits for the network infrastructure as it improves latency for end user/ devices while it also reduces the network traffic to a great extent. Emerging technologies like IoT and its application can immensely benefit by using In-network computing technology in conjunction with cloud technologies.
Task allocation on many core-multi processor distributed systemDeepak Shankar
Â
Migration of software from a single to multi-core, single to multi-thread, and integrated into a distributed system requires a knowledge of the system and scheduling algorithms. The system consists of a combination of hardware, RTOS, network, and traffic profiles. Of the 100+ popular scheduling algorithms, the majority use First Come-First Server with priority and preemption, Weight Round Robin, and Slot-based. The task allocation must take into consideration a number of factors including the hardware configuration, the RTOS scheduling, task dependency, parallel partitioning, shared resources, and memory access. Additionally, embedded system architectures always have the possibility of using custom hardware to implement tasks that may be associated with Artificial Intelligence, diagnostic or image processing.
In this Webinar, we will show you how to conduct trade-offs using a system model of the tasks and the target resources. You will learn to make decisions based on the hardware and network statistics. The statistics will assist in identifying deadlocks, bottlenecks, possible failures and hardware requirements. To estimate the best task allocation and partitioning, a discrete-event simulation with both time- and quantity-shared resource modeling is essential. The software must be defined as a UML or a task graph.
Web: www.mirabilisdesign.com
Webinar Youtube Link: https://youtu.be/ZrV39SYTWSc
Visualizing Your Network Health - Driving Visibility in Increasingly Complex...DellNMS
Â
Dell Performance Monitoring Network Management solutions can provide your IT department with the affordable, in-depth visibility and actionable monitoring needed to manage network infrastructure complexity.
Join our webcast to learn how:
⢠Dynamic discovery of equipment provides the ability to map current location, configuration and interdependencies.
⢠Real-time visibility across network infrastructures can help ensure availability and performance.
⢠Actionable information about network health, faults, bandwidth hogs and performance issues reduces the mean-time-to-resolution.
⢠Proactive analysis can pinpoint the root cause of intermittent, hard to find problems.
Visualizing and optimizing your network is easier than you think
What is Your Edge From the Cloud to the Edge, Extending Your ReachSUSE
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As companies continue to take advantage of the benefits of cloud â increased flexibility, speed of innovation and quickly responding to business demands, it is no wonder that they want to extend these benefits to the edge. But there are still a lot of questions.
Here, we will show you about what is edge computing with its components; involving with different types of edge computing and its pros and cons with ease. This is unique content over the internet; after reading this content, you will fully understand about What is Edge Computing without getting any obstacle.
The worlds of IT and Telecommunications Networking are converging bringing with them new possibilities and capabilities that can be deployed into the network A key transformation has been the ability to run IT based servers at network edge, applying the concepts of cloud computing.
Itâs a key decision most data center managers will face in the next couple of years:
Should you retrofit, build, colocate, or move to the cloud? Each has its benefits, and own inherent risks and costs
A revolution is going on at the Edge of the Network.
Why Edge is important?
How Edge Computing is shaping the way we do IoT, AR/VR, Big Data, Machine Learning and Analytics applications.
What are the important problems and whoâs problem is this?
What solutions Industry is looking into right now?
This review of the "Industry report by SDxCentral" summarizes what is going on in the Industry.
To beat a hacker, you need to think like one!
"Our Clients, Intelligence, Air force, Army, Navy, Defense, Police, Justice, Banks ,Stock Exchanges, Airports , Hospital,Ministry,University, Government and Pvt Sectors".
All government authorities and private sectors , financial institutions, banks, intelligence agencies, corporate and factories are really worried of the internet threats. They could not have gained the advantage of the internet as the normal entrepreneur.
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in LondonEurotech
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How the Internet of Things is catching up with the Oil & Gas industry.
How Eurotech's IoT architecture had its roots in the oil & gas industry, and why it is still relevant today.
Visualizing Your Network Health - Know your NetworkDellNMS
Â
An old adage states that you cannot manage what you donât know. Do you know what devices are on your network, where they are located, how they are configured, what they are connected to, and how they are affected by changes and failures?
Todayâs network infrastructure is becoming more and more complex, while demands on the Network Administrator to ensure network availability and performance are higher than ever. Business critical systems depend upon you managing your entire network infrastructure and delivering high-quality service 24/7, 365 days a year. So how do you keep the pace?
Learn how real-time visibility into your entire network infrastructure provides the power to manage your assets with greater control.
Module name is Networks 512 As the demand for faster and .pdffreddysarabia1
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Module name is Networks 512
As the demand for faster and more efficient high-performance computers grows, so do the
dimensions of the form factors that house them. Computer engineers have been tasked for years
with the difficult task of incorporating increasingly powerful computers into and onto
increasingly smaller chassis and printed circuit boards (PCBs), primarily to meet a growing
demand for more reliable, affordable, size-conscious, energy-efficient, and cost-effective
computer systems. This is why the world of embedded systems continues to see boundary-
pushing size, weight, power, and cost developments. 2.1 Use your knowledge of embedded
systems and devices to answer the question below. 2.1.1 What are embedded systems? 2.1.2
What are the various kinds of embedded systems? 2.1.3 What is the difference between soft and
hard real-time embedded systems?
device may require on both the serial and network sides of a connection. Should the device
always be connected to a specific host or PC? Is it possible that multiple hosts or network
devices will want or need to connect to the newly networked serial device? Are there any
specific requirements for an application that requires the serial device to reject a network
connection under certain conditions? The bottom line is that a server must be able to service a
wide range of application requirements while also meeting all of the demands of those
applications. Discuss how device servers are used to improve the usability of various
applications such as: Data Collection, Factory/Industrial Automation, Security Systems, Bar
Code Readers and Point-of-Sale Scanners, Medical Applications, M2M Wireless
Communication/Networking. (30)
1. An extensive telecommunications infrastructure is provided by a structured cabling system,
which is a complete system of cabling and related components. This infrastructure is used for a
variety of purposes, including phone service provision and data transmission across computer
networks. It shouldn't be hardware-reliant. A structured cabling system is further defined in
terms of ownership. At the termination of the service provider (SP), the structured cabling
system starts. The demarcation point (demarc) or network interface device is at this location
(NID). For instance, in the establishment of a telephone system, the SP provides one or more
service lines (per customer requirements). At the line of demarcation, the SP joins the service
lines. 1.1 Explain the significance of structured cabling and the advantages of structured cabling.
(10) 1.2 As a network architecture, you are tasked with designing a network for a six-story office
building, with each floor connecting 5 computers in 5 offices and having a wireless access point
to connect wireless devices. Design a network plan for the building using your knowledge of
structured cabling and various network devices, labeling all the hardware in devices and cabling.
(20)
A specialized network-based hardware device designe.
How to achieve 95%+ Accurate power measurement during architecture exploration? Deepak Shankar
Â
During the conceptualization and architectural exploration phases, it is crucial to assess the power budget.
Would you like to accurately measure the:
1. Power consumed for a proposed embedded software or firmware?
2. Savings of a Power Management Algorithm prior to development?
3. Power impact of hardware configuration change?
4. Trade-off between Power and Performance?
5. Temperature, heat, peak power and cumulative power?
Mirabilis_Design AMD Versal System-Level IP LibraryDeepak Shankar
Â
Mirabilis Design provides the VisualSim Versal Library that enable System Architect and Algorithm Designers to quickly map the signal processing algorithms onto the Versal FPGA and define the Fabric based on the performance. The Versal IP support all the heterogeneous resource.
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What is Your Edge From the Cloud to the Edge, Extending Your ReachSUSE
Â
As companies continue to take advantage of the benefits of cloud â increased flexibility, speed of innovation and quickly responding to business demands, it is no wonder that they want to extend these benefits to the edge. But there are still a lot of questions.
Here, we will show you about what is edge computing with its components; involving with different types of edge computing and its pros and cons with ease. This is unique content over the internet; after reading this content, you will fully understand about What is Edge Computing without getting any obstacle.
The worlds of IT and Telecommunications Networking are converging bringing with them new possibilities and capabilities that can be deployed into the network A key transformation has been the ability to run IT based servers at network edge, applying the concepts of cloud computing.
Itâs a key decision most data center managers will face in the next couple of years:
Should you retrofit, build, colocate, or move to the cloud? Each has its benefits, and own inherent risks and costs
A revolution is going on at the Edge of the Network.
Why Edge is important?
How Edge Computing is shaping the way we do IoT, AR/VR, Big Data, Machine Learning and Analytics applications.
What are the important problems and whoâs problem is this?
What solutions Industry is looking into right now?
This review of the "Industry report by SDxCentral" summarizes what is going on in the Industry.
To beat a hacker, you need to think like one!
"Our Clients, Intelligence, Air force, Army, Navy, Defense, Police, Justice, Banks ,Stock Exchanges, Airports , Hospital,Ministry,University, Government and Pvt Sectors".
All government authorities and private sectors , financial institutions, banks, intelligence agencies, corporate and factories are really worried of the internet threats. They could not have gained the advantage of the internet as the normal entrepreneur.
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in LondonEurotech
Â
How the Internet of Things is catching up with the Oil & Gas industry.
How Eurotech's IoT architecture had its roots in the oil & gas industry, and why it is still relevant today.
Visualizing Your Network Health - Know your NetworkDellNMS
Â
An old adage states that you cannot manage what you donât know. Do you know what devices are on your network, where they are located, how they are configured, what they are connected to, and how they are affected by changes and failures?
Todayâs network infrastructure is becoming more and more complex, while demands on the Network Administrator to ensure network availability and performance are higher than ever. Business critical systems depend upon you managing your entire network infrastructure and delivering high-quality service 24/7, 365 days a year. So how do you keep the pace?
Learn how real-time visibility into your entire network infrastructure provides the power to manage your assets with greater control.
Module name is Networks 512 As the demand for faster and .pdffreddysarabia1
Â
Module name is Networks 512
As the demand for faster and more efficient high-performance computers grows, so do the
dimensions of the form factors that house them. Computer engineers have been tasked for years
with the difficult task of incorporating increasingly powerful computers into and onto
increasingly smaller chassis and printed circuit boards (PCBs), primarily to meet a growing
demand for more reliable, affordable, size-conscious, energy-efficient, and cost-effective
computer systems. This is why the world of embedded systems continues to see boundary-
pushing size, weight, power, and cost developments. 2.1 Use your knowledge of embedded
systems and devices to answer the question below. 2.1.1 What are embedded systems? 2.1.2
What are the various kinds of embedded systems? 2.1.3 What is the difference between soft and
hard real-time embedded systems?
device may require on both the serial and network sides of a connection. Should the device
always be connected to a specific host or PC? Is it possible that multiple hosts or network
devices will want or need to connect to the newly networked serial device? Are there any
specific requirements for an application that requires the serial device to reject a network
connection under certain conditions? The bottom line is that a server must be able to service a
wide range of application requirements while also meeting all of the demands of those
applications. Discuss how device servers are used to improve the usability of various
applications such as: Data Collection, Factory/Industrial Automation, Security Systems, Bar
Code Readers and Point-of-Sale Scanners, Medical Applications, M2M Wireless
Communication/Networking. (30)
1. An extensive telecommunications infrastructure is provided by a structured cabling system,
which is a complete system of cabling and related components. This infrastructure is used for a
variety of purposes, including phone service provision and data transmission across computer
networks. It shouldn't be hardware-reliant. A structured cabling system is further defined in
terms of ownership. At the termination of the service provider (SP), the structured cabling
system starts. The demarcation point (demarc) or network interface device is at this location
(NID). For instance, in the establishment of a telephone system, the SP provides one or more
service lines (per customer requirements). At the line of demarcation, the SP joins the service
lines. 1.1 Explain the significance of structured cabling and the advantages of structured cabling.
(10) 1.2 As a network architecture, you are tasked with designing a network for a six-story office
building, with each floor connecting 5 computers in 5 offices and having a wireless access point
to connect wireless devices. Design a network plan for the building using your knowledge of
structured cabling and various network devices, labeling all the hardware in devices and cabling.
(20)
A specialized network-based hardware device designe.
Similar to Mastering IoT Design: Sense, Process, Connect: Processing: Turning IoT Data into Intelligence (20)
How to achieve 95%+ Accurate power measurement during architecture exploration? Deepak Shankar
Â
During the conceptualization and architectural exploration phases, it is crucial to assess the power budget.
Would you like to accurately measure the:
1. Power consumed for a proposed embedded software or firmware?
2. Savings of a Power Management Algorithm prior to development?
3. Power impact of hardware configuration change?
4. Trade-off between Power and Performance?
5. Temperature, heat, peak power and cumulative power?
Mirabilis_Design AMD Versal System-Level IP LibraryDeepak Shankar
Â
Mirabilis Design provides the VisualSim Versal Library that enable System Architect and Algorithm Designers to quickly map the signal processing algorithms onto the Versal FPGA and define the Fabric based on the performance. The Versal IP support all the heterogeneous resource.
In Electronic System design, modeling abstraction is a powerful technique that involves creating simplified representations of complex electronic systems.
VisualSim Architect allows designers to create more manageable, modular, scalable, and robust electronic systems that meet the requirements of real-world applications. By leveraging abstraction, designers can focus on the critical aspects of a system's functionality, behavior, and interface, and effectively communicate design concepts and make informed decisions.
Accelerated development in Automotive E/E Systems using VisualSim ArchitectDeepak Shankar
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The recent trends and developments in the automotive sector towards fully autonomous diving system and vehicle to vehicle (V2V) communication would mean a drastic increase in the number of sensors, increased number of ECUs, increased concern for safety and security. This calls for the need to perform thorough evaluations on the target system architecture, at all levels - Hardware, Software and Network. During this webinar, we show how we evaluate each of these aspects of the Automotive E/E system and take a closer look at the performance, power and functional correctness of each of the auto subsystems. We will also inject faults into the demo model, which will tell us how the automotive system would perform under failure.
The webinar also showcases various Use case examples, which includes - comparison of TSN Standards, modelling of various topology, task graph modelling, glimpses into TC10 sleep-wakeup standard and integrated software.
Evaluating UCIe based multi-die SoC to meet timing and power Deepak Shankar
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Multi-die designs allow systems engineering to pack more functionality with different timing and power constraints into a single package. Older generation multi-die split the dies into high-speed and low speed. Newer, high-performance multi-die System-on-Chip (SoC) requires interaction between memories across the die-to-die interfaces. Connections between dies must be power efficient, have low latency, provide high bandwidth to transfer massive amounts of data, and deliver error-free operation. The distribution of cores, deep neural networks and AI engines across these dies makes it extremely hard to predict the expected end-to-end latency, power spikes and effective bandwidth. Moreover, Multi-die architectures have evolved from proprietary to industry standard UCIe.
This Webinar looks at the system-wide view of performance and power in a multi-die SOC. We will be showcasing a few use cases that combines various types of processing engines across PCIe and interconnected UCIe. This modeling effort will present the user with different system performance and system architecture models and a guide on how to best bring different aspects of their design together in a holistic way that is optimized for power, timing and functionality.
During the Webinar, users can follow along using VisualSim Cloud. To get started with VisualSim Cloud, users can register and receive a login at https://www.mirabilisdesign.com/visualsim-cloud-login/. Once you receive the login, follow the instructions, and open the models provided in the Template pull-down. More instructions will be provided at the start of the Webinar.
ROLE OF DIGITAL SIMULATION IN CONFIGURING NETWORK PARAMETERSDeepak Shankar
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Selecting the right Ethernet standard and configuring all the network devices in the embedded systems accurately is an extremely hard and rigorous job. The configuration depends on the topology, workloads of the connected devices, processing overhead at the switches, and the external interfaces. Network calculus, mathematical models and analytical techniques provide worst case execution time (WCET), but their probability of activity is extremely wide. This leads to overdesign which leads to higher costs, power consumption, weight, and size. Simulating the network is the best way to measure the throughput of the entire system. Digital system simulation provides better latency and throughput accuracy, but the accuracy is still limited because it does not consider the latency associated with the network OS, cybersecurity processing and scheduling. In many cases, these factors can reduce the throughput by 20-40%.
In this paper, we will present our research on modeling the entire Ethernet network, including the workloads, network flow control, scheduling, switch hardware, and software. To substantially increase the coverage and compare topologies, we have developed a set of benchmarks that provides coverage for different combination of deterministic, rate-constrained, and best effort traffic. During the presentation, we will cover the benchmarks, the list of attributes required to accurately model the traffic, nodes, switches, and the scheduler settings. We will also look at the statistics and reports required to make the configuration decision. In addition, we will discuss how the model must be constructed to study the impact of future requirements, failures, network intrusions, and security detection schemes.
Key Takeaways:
1. Learn how to efficiently use network simulation to design Ethernet systems
2. Develop a reusable benchmark and associated statistics to test different configurations
3. The role and impact of the CDT slots, guard band, send slope, idle slope, shuffle scheduling, flow control and virtual channels
Compare Performance-power of Arm Cortex vs RISC-V for AI applications_oct_2021Deepak Shankar
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Abstract: In the Webinar, we will show you how to construct, simulate, analyze, validate, optimize an architecture model using pre-built components. We will compare micro and application benchmarks on system SoC models containing clusters of ARM Cortex A53, SiFive u74, ARM Cortex A77, and other vendor cores. The system will be built around custom switches, Ingress/Egress buffers, credit flow control, AI accelerators, NoC and AMBA AXI buses with multi-level caches, DDR4 DRAM and DMA. The evaluation and optimization criteria will be task latency, dCache hit-ratio, power consumed/task and memory bandwidth. The parameters to be modified are bus topology, cache size, processor clock speed, custom arbiters, task thread allocation and changing the processor pipeline.
Selection of cores is a combination of financial and technical bias. Technical comparison of processor cores requires the understanding of the workload, task partitioning and cache-memory structure. A core must be evaluated in the context of the target application. To evaluate these selections, architecture simulation software must be fortified with a library of Intellectual property for power and timing accurate processor cores, simulator at 100 million events per second, peripherals, and all possible traffic distributions
Key Takeaways:
1. Validating architecture models using mathematical calculus and hardware traces
2. Construct custom policies, arbitrations and configure processor cores
3. Select the right combination of statistics to detect bottlenecks and optimize the architecture
4. Identify the right use of stochastic, transaction, cycle-accurate and traces to construct the model
Speaker Bio:
Alex Su is a FPGA solution architect at E-Elements Technology, Hsinchu, Taiwan. He has been an FPGA Solution Architect and Xilinx FPGA Trainer for a number of years, supporting companies, research centers and universities in China and Taiwan. Prior to that, Mr Su has worked at ARM Ltd for 5 years in technical support of Arm CPU and System IP. Alex has also been engaged with a variety of FPGA-based Hardware Emulation System and over ten years in ASIC/SoC design and verification engineer.
Deepak Shankar is the Founder of Mirabilis Design and has been involved in the architecture exploration of over 250 SoC and processors. Mr. Shankar started Mirabilis Design because of a vacuum in the systems engineering and modeling space with the focus shifting to network design and early software development. Deepak has published over 50 articles and presented at over 30 conferences in EDA, semiconductors and embedded computing. Mr. Shankar has an MBA from UC Berkeley, MS in from Clemson University and BS from Coimbatore Institute of Technology, both in Electronics and Communication.
Energy efficient AI workload partitioning on multi-core systemsDeepak Shankar
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o create an AI system, the semiconductor, software, and systems team need to work together. Multi-core systems can provide extremely low latency and higher throughput at lower power consumption. But concurrent access to shared resources by multiple of AI workloads running on different cores can create higher worst-case execution time (WCET) and causes multiple system failures. Architecture exploration can be used to efficiently balance the compute, communication, synchronization, and storage. In this Webinar, we will be using Workloads from automotive, and data centers to demonstrate the methodology.
VisualSim Architect enables designers to assemble architecture models that extend from the smallest IoT to full automotive, and Radar systems to Data Centers. These models will include any combination of software, processors, ECU, RTOS and networks. Using this platform, software designer can explore the partitioning of the AI tasks (software or model) on to cores based on the latency, bandwidth, and power constraints. Within the IoT, the processor, A/D, Bluetooth and software can be modeled while an automotive design will require the network, ECU and firmware. Both have a unique mechanism to define the traffic, test scenarios and AI workloads. Hardware engineers can select cores, cores per cluster, cache hierarchy, memory controller, accelerators, and the interface topology. Software engineers can tune the partitioning, synchronization overhead, memory access schedules and scheduling.
Capacity Planning and Power Management of Data Centers. Deepak Shankar
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Key Points discussed in this webinar are:
1.How dynamic simulation can replace traditional network simulations that are slow and lack configuration and visibility to analyze performance.
2.How to avoid over or under design, cost increases, and delays.
3.How an architectural model can be used to test the capacity and power requirements of your data center or your server.
Contact us at info@mirabilisdesign.com for any queries.
Analytical, prototyping, model-based systems engineering and custom discrete-event model development of automotive networks are inaccurate, expensive, and takes too long to do detailed routing analysis, Quality-of-Service (QoS) trade-off, and bandwidth exploration. To capture the nuances of QoS, scheduling, buffer management, and network topologies, these solutions require a considerable amount of time, costs, and customization. To achieve the reliability of wiring harness, the latency and bandwidth measurements of automotive networks must be accurate, tested for failure conditions, and simulated for security breaches, traffic spikes, and translations.
In the design of electronics and semiconductors, challenges are compounded by the integration of AI, multi-core, real-time software, network, connectivity, diagnostics, and security. Performance limits, battery life, and cost are adoption barriers. It is extremely important to have tools and processes that deliver efficiency throughout the design cycle.
Continuous verification from planning to development addresses the multi-discipline needs of hardware, software, and networks. This unique approach accelerates the design phase, defines the test efforts, and finds defects during specification. Architecture modeling is required to meet timing deadlines, generate the lowest power consumption, and attain the highest Quality-of-Service. optimize the electronic design system and designing of custom components.
Using ai for optimal time sensitive networking in avionicsDeepak Shankar
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The IEEE 802.1 Time-Sensitive Networking is a standard technology to provide deterministic
routing or transmission of packets on standard Ethernet. By reserving resources for critical traffic,
and applying various queuing and shaping techniques, TSN achieves zero congestion loss for
critical data traffic. This, in turn, allows TSN to guarantee a worst-case end-to-end latency for
critical data. TSN also provides ultra-reliability for data traffic via a data packet level reliability
mechanism as well as protection against bandwidth violation, malfunctioning, malicious attacks,
etc. TSN includes reliable time synchronization, a profile of IEEE 1588, which provides the basis
for many other TSN functions.
Introduction to Architecture Exploration of Semiconductor, Embedded Systems, ...Deepak Shankar
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- Identify design challenges, trade-offs, and exploration.
- Construct an architecture model using data available in documents, spreadsheets, existing code, datasheets, and future concepts.
- Analyze the model to determine the cause of a bottleneck or performance degradation
Develop High-bandwidth/low latency electronic systems for AI/ML applicationDeepak Shankar
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the architecture exploration required to accurately size and implement AI/ML platforms for a wide-range of applications in automotive, radar and high-performance computing.
Webinar on Latency and throughput computation of automotive EE networkDeepak Shankar
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This solution enables Architects to conduct trade-off on early planning, system sizing and network topology planning. This is part one in a three series that covers systems engineering exploration of Automotive EE Systems. technologies studied in this session include FlexRay, CAN, CAn_FD, TSN. Ethernet, ECU, Brake System, power Supply electronics, Li-Ion Batteries, ADAS and AUTOSAR.
This slides show how to utilize real-world applications to teach early architecture exploration of electronics, embedded systems, software/firmware and semiconductor using visualsim.
Automobile Management System Project Report.pdfKamal Acharya
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The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. âAutomobile Management Systemâ is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
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AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with ďŹy-by-wire ďŹight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Final project report on grocery store management system..pdfKamal Acharya
Â
In todayâs fast-changing business environment, itâs extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Courier management system project report.pdfKamal Acharya
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It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
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Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Forklift Classes Overview by Intella PartsIntella Parts
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Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Student information management system project report ii.pdfKamal Acharya
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Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
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Enabling Data Center Connected Devices
⢠50 billion IoT devices generate 79.4ZB requires
â Huge bandwidth
â Massive and expensive cloud processing
â 99.999% reliability
â Cybersecurity
â Variable response latency
⢠Solution: Edge Computing
â Process and analyze data locally
â Make instant decisions
⢠Applications that benefit from Edge Computing
â Safety, health care, security, autonomous vehicles,
smart cities
â Manufacturing, VR, AR, stream services, customer care
â Smart homes
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Architecture of Edge Computing
⢠Edge computing is at the
outermost edge of network
⢠Sensor data is collected,
filtered, compressed, and
encrypted locally and a
small quantity is sent to the
cloud
⢠Network transfer can be
done in batch or offline
⢠Increases the number of
processing layers
⢠Server location is critical
⢠Tracking and diagnostic is
critical and adds layers
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6. Sponsored by:
Trends
⢠Edge gateway separates the processing and end-point
â Increases the battery life of the connected devices
â Add more sensors and trackers at the device
⢠Example
â Smart electricity meters generate lots of measurements at short intervals
â Using data from temperature, light and other sensors, Edge Computing can respond to
environment changes quickly, reducing operational cost and increasing comfort
⢠Filtering edge data reduces cloud transfers, which increases battery life
⢠Example
â Mercedes AMG F1 team filters less valuable telemetry and transfers relevant data for offline
processing
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Trends
⢠There is no âsingleâ edge
â Depending on the application, the edge architecture will be different
â Manufacturing plant [Edge servers and gateways aggregate multiple
servers and devices in a distributed location]
â Telecommunications provider [architectures break down into a provider far
edge, a provider access edge, and a provider aggregation edge]
⢠Edge computing doesnât need to be connected
â An edge device running autonomously in a hard-to-reach place like a rural
mining site can keep running when a connection drops
â When connection resumes, the system can sync and transfer data
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Computing Trends
⢠Edge is getting âfoggyâ
â Fog computing adds a new filtering layer
â Example
⢠Temperature sensor generates data every one second
⢠With fog layer, data that meet the metrics are sent to cloud
⢠Advanced communication and AI technology enable mass
connection
â Wi-Fi 6 and 5G/6G covers most edge devices
â About 99.4% of the physical objects are still unconnected
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Challenges
⢠Latency (Response times)
â Applications, like the health care, financial transactions, and automotive
cannot tolerate latency
â Stringent requirements need to be met and thus the components need to be
selected to meet such needs
⢠Bandwidth
â Applications, like Smart surveillance systems and traffic management,
require significant bandwidth
â Buffer overflow, retransmissions can severely affect application performance
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Challenges
⢠Edge has same cyber risk as any other local network
server
â âAT&T Cybersecurity Insights report: Securing the Edgeâ found
that 74% of businesses have been compromised
â Sniffing attacks, DDoS, supply chain attacks, etc.
⢠Power
â Edge servers rely on battery as their primary power source
â IoT device batteries are not easily replaceable
⢠Fire alarm sensors, underwater sensors, wildlife tracking devices,
medical implants, space and satellite devices
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Designing Edge Computing Requires Early Architecture
Planning
⢠Early system model can eliminate bottlenecks and measure
â Processing requirements
â Expected application latency
â Required bandwidth for seamless operation
â Power profile of the edge devices
â Behavior of the system under different failure conditions and threats
⢠To enable this, the system modeling solution requires IP libraries and
simulators for hardware, software, and network
â VisualSim Architect from Mirabilis Design ticks all the boxes
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Why is System Performance Exploration Required?
Scheduling/Arbitration
proportional
share
WFQ
static
dynamic
fixed priority
EDF
TDMA
FCFS
Communication Templates
Architecture # 1 Architecture # 2
Computation Templates
DSP
AI
GPU
DRAM
CPU
FPGA
m
E
DSP
TDMA
Priority
EDF
WFQ
RISC
DSP
LookUp
Cipher
AI DS
P
CPU
GP
U
mE DD
R
static
Which architecture is better suited
for our application?
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13. Sponsored by:
Block Diagram of Data-Enabled Application
Device 1
AFE
ARM/
RISC-V
core
BLE/
Wifi/ 5G
Radio
Transceiv
er
Network
Hub
[Edge Gateways
+ Fog layers]
Data
Center
14. Sponsored by:
IoT to Data Center Model
⢠Power consumption of each
device
⢠Optimal HW and SW
configuration to meet the end-to-
end application timing deadline
⢠Performance with Big data and
fast data workloads
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Architect Hardware-Software of Edge Device
DRAM
Display
IO
A
M
B
A
A
X
I
B
u
s
CPU
GPU
Display
Ctrl
P
C
I
e
Video Camera SRAM
Packet
⢠System Overview
â Cameraďź 30fps, VGA corresponds
â CPUďź Multi-core ARM Cortex-A53 1.2GHz
â GPUďź 64Cores(8WarpsĂ8PEs), 32Threads,
1GHz
â DisplayCtrlďź DisplayBuffer 293,888Byte
â SRAMďź SDR, 64MB, 1.0GHz
â DRAMďź DDR3, 64MB, 2.4GHz
Explore at the board- and semiconductor-level to size uP/GPU, memory bandwidth and bus/switch configuration
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Conducting Architecture Trade-off
⢠By changing the amount of video input data (packet numbers), observe the SRAM -> DRAM
transfer performance and examine the upper limit performance of the video input that the
system can tolerate. 210 packets/s
12ms
21 packets/s
414us
300 packets/s
⢠250 packets/s is the system limit
⢠With 300 packets/s, simulation cannot
be executed due to FIFO buffer
overflow.
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Compare Edge Compute System using ARM vs RISC-V
Processors
Using ARM Cores Using RISC-V Cores
NOTE: Depending on the application profile run, the performance and power observed would
vary
⢠Compare application latency with and without custom instructions tailored for AI
and data filtering
⢠Average power consumption in different scenarios
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Selecting Network Interface to Data Center
Using 1000 Mbps links 1000 Mbps link + Edge Processing (Single- and multi-core)
Sizing of network resources to Edge devices is important to get optimal performance
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Bluetooth (BLE) Power State Transition (FSM)
⢠Depending on the
abstraction required,
the subsystems can
be built with great
details
⢠Here, Bluetooth
module has been
modeled with all the
state transition
details
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20. Sponsored by:
Resource usage
extremely high due
to continued high
traffic levels
Security against DDoS Attack on Edge and Networks
A DDoS attack involves multiple
connected devices, collectively
known as a botnet, which are used to
overwhelm a target vehicle with
fake/malicious traffic.
⢠Virtually emulating the system behavior using DDoS attack technique
⢠Simulation methodology is designed to test automotive systems for cybersecurity
and safety that are under development
⢠Undertake Risk Assessment on network simulation to predict how the interaction of
restrictions and behavior may affect overall network hygiene
⢠Moreover, testing multiple potential settings can aid in finding a near-optimal
configuration for restrictions
⢠The above design analyzes the overall throughput and latency on the network under
attack.
High Delay in processing
request result in low
throughput
What is
DDoS?
DDoS Attack
Outcomes ?
Analyze the
System Design
and find best
optimal
configuration
High Resource Usage
due to Attacks on On-
Board Units. Unable to
discern between normal
and attack traffic
OB
U
Diagnostic
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21. Sponsored by:
Failure and Cybersecurity Threat Analysis
Normal Operation Under Attack
Effective
throughput is
reduced and
significant bursts
in response times
are observed
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Evaluate Bottlenecks and Security Threats
Stable
Response
Time
Malicious Devices are Blacklisted
Without
Firewall
With
Firewall
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23. Sponsored by:
Edge Computing Architecture is Key for Data Intelligence
⢠System exploration must be performed during the planning stage
⢠Distribution of processing to IoT, edge, fog, and data center must
be based on the application requirements
⢠Edge, Network, and IoT System specification must be fully
validated for both power-performance and failure-security
⢠Data size, processing needs, and software tasks must be
determined in advance
⢠System must be scalable for future requirements
⢠Edge computing is the Future
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About Mirabilis Design
Software Company based in Silicon Valley
Integrates Model-based Systems Engineering with the electronics
development flow
Development and Support Centers
USA, India, China, South Korea, Japan and Europe
VisualSim Architect - Modeling and Simulation Software
Graphical modeling, multi-domain simulator, system-level IP, analysis tools and
open API
Market Segments
Semiconductors, Automotive and, Aerospace and Defense
Design Enablement
Architecture trade-offs, system validation, early functional testing and
communication
Networking
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