Introduction to Architecture Exploration of Semiconductor, Embedded Systems, and Networks
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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
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"We are excited to present ROCm, the first open-source HPC/ultrascale-class platform for GPU computing that’s also programming-language independent. We are bringing the UNIX philosophy of choice, minimalism and modular software development to GPU computing. The new ROCm foundation lets you choose or even develop tools and a language run time for your application."
Watch the video presentation: http://wp.me/p3RLHQ-fJT
Learn more: https://radeonopencompute.github.io/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
IBM HPC Transformation with AI
This document discusses how HPC infrastructure is being transformed with AI. It summarizes that cognitive systems use distributed deep learning across HPC clusters to speed up training times. It also outlines IBM's hardware portfolio expansion for AI training, inference, and storage capabilities. The document discusses software stacks for AI like Watson Machine Learning Community Edition that use containers and universal base images to simplify deployment.
2018 bsc power9 and power ai
This document discusses IBM's involvement in artificial intelligence and deep learning. It includes:
- An introduction to IBM's Cognitive Systems team working in AI.
- A brief history of IBM's AI projects including Deep Blue, Blue Gene, and Watson.
- Explanations of concepts like machine learning, deep learning, and how they relate to high performance computing.
- Details of IBM's current hardware, software, and services for AI workloads including the Power9 processor, PowerAI tools, and storage solutions.
The document provides an overview of IBM's expertise and offerings in the field of artificial intelligence.
CFD on Power
This document discusses using OpenMP 4.5 directives and CUDA to accelerate computational fluid dynamics (CFD) simulations on GPUs using OpenPOWER platforms. It describes porting an open-source CFD code called Code Saturne to leverage GPUs for tasks like linear algebra kernels and algebraic multigrid. It shows how OpenMP 4.5 data environments can be used to manage data movement between the host and device without modifying the code. Profiling results indicate that directive-based programming models can achieve speedups and improve programmer productivity when porting existing CPU codes to accelerate tasks on GPUs.
POWER10 innovations for HPC
The IBM POWER10 processor represents the 10th generation of the POWER family of enterprise computing engines. Its performance is a result of both powerful processing cores and high-bandwidth intra- and inter-chip interconnect. POWER10 systems can be configured with up to 16 processor chips and 1920 simultaneous threads of execution. Cross-system memory sharing, through the new Memory Inception technology, and 2 Petabytes of addressing space support an expansive memory system. The POWER10 processing core has been significantly enhanced over its POWER9 predecessor, including a doubling of vector units and the addition of an all-new matrix math engine. Throughput gains from POWER9 to POWER10 average 30% at the core level and three-fold at the socket level. Those gains can reach ten- or twenty-fold at the socket level for matrix-intensive computations.
Covid-19 Response Capability with Power Systems
IBM provides infrastructure to accelerate medical research tasks like genomics, molecular simulation, diagnostics, and quality inspection. This infrastructure delivers faster insights through high-performance data and AI deployed at massive scale on IBM Power Systems and Storage. Case studies show the infrastructure reduces time to results for tasks like processing millions of cryogenic electron microscope images from days to hours.
POWER9 for AI & HPC
In this deck from the HPC User Forum in Tucson, Jeff Stuecheli from IBM presents: POWER9 for AI & HPC.
"Built from the ground-up for data intensive workloads, POWER9 is the only processor with state-of-the-art I/O subsystem technology, including next generation NVIDIA NVLink, PCIe Gen4, and OpenCAPI."
Watch the video: https://wp.me/p3RLHQ-isJ
Learn more: https://www.ibm.com/it-infrastructure/power/power9
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Summit workshop thompto
This document provides a summary of the IBM POWER9 AC922 system with 6 GPUs. It includes details on the POWER9 processor which features 24 cores per die, an enhanced cache hierarchy up to 120MB, and on-chip accelerators. The AC922 system utilizes two POWER9 processors, supports up to 512GB memory via 16 DDR4 DIMMs, and has three Nvidia Volta GPUs per socket connected via NVLink 2.0. It also discusses the POWER ISA v3.0 instruction set and how POWER9 serves as a premier acceleration platform with technologies like CAPI, OpenCAPI, and NVLink.
Overview of HPC Interconnects
In this deck from ATPESC 2019, Ken Raffenetti from Argonne presents an overview of HPC interconnects.
"The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future."
Watch the video: https://wp.me/p3RLHQ-luc
Learn more: https://extremecomputingtraining.anl.gov/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
NNSA Explorations: ARM for Supercomputing
In this deck from the Argonne Training Program on Extreme-Scale Computing 2019, Howard Pritchard from LANL and Simon Hammond from Sandia present: NNSA Explorations: ARM for Supercomputing.
"The Arm-based Astra system at Sandia will be used by the National Nuclear Security Administration (NNSA) to run advanced modeling and simulation workloads for addressing areas such as national security, energy and science.
"By introducing Arm processors with the HPE Apollo 70, a purpose-built HPC architecture, we are bringing powerful elements, like optimal memory performance and greater density, to supercomputers that existing technologies in the market cannot match,” said Mike Vildibill, vice president, Advanced Technologies Group, HPE. “Sandia National Laboratories has been an active partner in leveraging our Arm-based platform since its early design, and featuring it in the deployment of the world’s largest Arm-based supercomputer, is a strategic investment for the DOE and the industry as a whole as we race toward achieving exascale computing.”
Watch the video: https://wp.me/p3RLHQ-l29
Learn more: https://insidehpc.com/2018/06/arm-goes-big-hpe-builds-petaflop-supercomputer-sandia/
and
https://extremecomputingtraining.anl.gov/agenda-2019/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
EXTENT-2017: Heterogeneous Computing Trends and Business Value Creation
This document discusses heterogeneous computing trends and how they can create business value. It notes that the end of CPU frequency scaling around 2005-2007 led to approaches like core replication and exploiting concurrency. Fabrication technology advances have led to parity between CPUs, FPGAs, and GPUs on process nodes, with each expected to increase cores/estate/FLOPS significantly by 2030. Mapping applications to heterogeneous resources optimally is challenging due to expanding options and interconnect limitations. Value can be created through non-functional enhancements, functional enhancements, and business model transformations. A case study shows consistent 10x performance gains and optimal space efficiency through fine-grained use case based optimization across CPUs, FPGAs, and GPUs.
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Similar to Introduction to Architecture Exploration of Semiconductor, Embedded Systems, and Networks
Using VisualSim Architect for Semiconductor System Analysis
Mirabilis Design provides architecture exploration software for semiconductor, electronics and embedded software. Using this modeling and simulation solution, designers could trade-off power vs performance, partition into hardware-software, optimize for timing, minimize power consumption, functional analysis and evaluate the quality of the system in the event of a failure. The outcome of this early exploration is a highly validated specification, a reference design for prospective customers to evaluate and data for certification purposes.
VisualSim has a large library of components (stochastic, hardware, software, network and RTOS) that is used to assemble models of the entire system, extremely fast and handle level of abstraction from stochastic to timing-accurate. These models are simulated against workloads and use-cases and the generated reports are used to make architecture decisions.
Webinar on Latency and throughput computation of automotive EE network
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.
Accelerated development in Automotive E/E Systems using VisualSim Architect
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.
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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
Webinar: Detecting Deadlocks in Electronic Systems using Time-based Simulation
Webinar: Detecting Deadlocks in Electronic Systems
Date: Nov 13th, 2019
Europe/ India Time: 11 AM CEST / 2:30 PM IST
US Time: 10 AM PT/ 1 PM ET
Register For the Webinar
Join Deepak Shankar, Founder of Mirabilis Design,
on Deadlock Detection of task graphs, using Discrete-Event Simulation.
on Thursday Nov 13th 2019
Europe/ India Time: 11 AM CEST / 2:30 PM IST
US Time: 10 AM PT/ 1 PM ET
Register For the Webinar
In Part One on Functional Analysis and Safety, we covered architecture modeling, fault injection, identification and resolution. View this Webinar, at the Mirabilis Design Video Channel. In Part Two, we focus on detecting deadlocks in systems that are time-variant. Traditional methods such as Ho-Ramamoorthy check for deadlocks in static directed graphs. In real systems, deadlocks occur from dependents missing deadlines, non-availability of resources from dependency and processing needs, multiple concurrent resource requests, criss-cross requests, stringent flow control, limited credit policies and buffer overflow. These require a dynamic, time-based simulation model to evaluate and detect deadlocks. In this Webinar, we use VisualSim Architect to assemble the task graph of the electronic; run use-cases and traffic through a time-based simulation; and evaluate the generated report to detect the source of the deadlocks.
During the webinar, you will learn to
1. Construct the system behavior using a system modeling environment
2. Run traffic and use-cases to create real-world operation
3. Evaluate the timing and resource consumption data to detect deadlocks
4. Determine the cause of the deadlocks using process and resource information
We will evaluate the simulated outcomes of an application to observe the functional coverage and design bottlenecks. Data Sampling with different test case are used to validate the correctness of the design. Example of deadlock scenarios are Multi-Core Cache Coherence, protocol and baseband Task Graphs, preemptive shared Bus and external resources such as printer, cameras and electrical drives.
System Architecture Exploration Training Class
This document describes a training webinar on system architecture exploration using VisualSim software. It includes an agenda for a two-day training covering basics of VisualSim like traffic generation, queues, plotting statistics. It also describes exploring hardware and software platforms using resources like servers, queues and system resources in VisualSim. The document discusses processing models, reporting statistics and experimenting with different system options.
Webinar on Functional Safety Analysis using Model-based System Analysis
To learn more, visit https://www.mirabilisdesign.com or email: info (at) mirabilisdesign.com.
To meet the ISO-26262 Parts 4,5,6 Requirements.
Failure Analysis, Identification and Resolution of Electronics and Software
Join Mirabilis Design for a Webinar to evaluate performance and power consumption, measure the quality of your architecture in the event of failures and, the recovery time from the failures. During this Webinar, we will demonstrate a step-by-step approach to dynamic system modeling, fault generation, and evaluation of diagnostics to cover both ISO26262-Part 4,5,6.
Using the VisualSim modeling and simulation software, we will validate and optimize the system architecture, apply failures, add diagnostics to identify the failures, and create logic to resolve the error condition. This model will be used to measure the compliance of the functional safety setup to meet the requirements of ISO26262-Part 4,5,6.
At the Webinar, we will
1. Cover hardware, software, network, RTOS and power systems.
2. Construct an architecture model of a braking system.
3. Apply failures, add methods to detect errors and algorithms to return the system to normal operation.
3. Analyze the models to meet the timing, power and functional requirements during an event of a failure.
System failure analysis plays a vital role in avoiding any real-time injuries/dangers, especially in aerospace, automotive and medical appliances. While designing the system, a proactive and systematic method to evaluate where and how the system might fail, the outcome of the failure, and how the failures can be prevented helps to consider required safety measures. This minimizes the cost, resources, and time-consumed after the occurrence of an unexpected incident.
How to create innovative architecture using VisualSim?
In this presentation, we will get you started on using VisualSim Architect to conduct performance analysis, power measurement and functional validation. You will learn advanced concepts of system modeling and how to apply VisualSim Architect for a variety of applications.
Highlights include the application for both System-on-Chip and Large Systems including Designing memory interfaces using DDR3 and LPDDR3.
VisualSim Architect is used by systems and semiconductor companies to validate and analyze the specification of the product. The environment offers an easy-to-use methodology, huge library of technology components, extremely fast simulator and a huge reports list.
How to create innovative architecture using ViualSim?
In this presentation, we will get you started on using VisualSim Architect to conduct performance analysis, power measurement and functional validation. You will learn advanced concepts of system modeling and how to apply VisualSim Architect for a variety of applications.
Highlights include the application for both System-on-Chip and Large Systems including Designing memory interfaces using DDR3 and LPDDR3.
VisualSim Architect is used by systems and semiconductor companies to validate and analyze the specification of the product. The environment offers an easy-to-use methodology, huge library of technology components, extremely fast simulator and a huge reports list.
Please find our webinar video - How to create innovative architecture using ViualSim? at the last slide.
How to create innovative architecture using VisualSim?
In this presentation, we will get you started on using VisualSim Architect to conduct performance analysis, power measurement and functional validation. You will learn advanced concepts of system modeling and how to apply VisualSim Architect for a variety of applications.
Highlights include the application for both System-on-Chip and Large Systems including Designing memory interfaces using DDR3 and LPDDR3.
VisualSim Architect is used by systems and semiconductor companies to validate and analyze the specification of the product. The environment offers an easy-to-use methodology, huge library of technology components, extremely fast simulator and a huge reports list.
Capacity Planning and Power Management of Data Centers.
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.
Mirabilis_Design AMD Versal System-Level IP Library
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The document discusses optimizing power and timing of RISC-V processors and systems. It describes evaluating pipeline stages, widths and speeds of RISC-V cores. It also discusses modeling SoC architectures containing RISC-V processors using VisualSim to evaluate power, performance and hardware accelerators for applications like media and SSD controllers.
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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.
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Deepak Shankar, CEO and Founder of Mirabilis Deign Inc. hosted a webinar(Feb 17,2016) on the architectural possibilities to improve memory bandwidth. This webinar highlighted that memory plays a role in impacting the performance & power consumption of a system.
ROLE OF DIGITAL SIMULATION IN CONFIGURING NETWORK PARAMETERS
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
Clipper: A Low-Latency Online Prediction Serving System: Spark Summit East ta...
Machine learning is being deployed in a growing number of applications which demand real-time, accurate, and robust predictions under heavy query load. However, most machine learning frameworks and systems only address model training and not deployment.
In this talk, we present Clipper, a general-purpose low-latency prediction serving system. Interposing between end-user applications and a wide range of machine learning frameworks, Clipper introduces a modular architecture to simplify model deployment across frameworks. Furthermore, by introducing caching, batching, and adaptive model selection techniques, Clipper reduces prediction latency and improves prediction throughput, accuracy, and robustness without modifying the underlying machine learning frameworks. We evaluated Clipper on four common machine learning benchmark datasets and demonstrate its ability to meet the latency, accuracy, and throughput demands of online serving applications. We also compared Clipper to the Tensorflow Serving system and demonstrate comparable prediction throughput and latency on a range of models while enabling new functionality, improved accuracy, and robustness.
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How to create innovative architecture using ViualSim?
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How to achieve 95%+ Accurate power measurement during architecture exploration?
Mirabilis Design is a software company that develops VisualSim Architect modeling and simulation software to optimize system specifications prior to development. The software enables power-performance-area modeling and simulation of semiconductor systems and software. It uses dynamic simulation and evaluation of power, timing, and behavior using a single system model. This achieves 95%+ accurate power measurement during architecture exploration. The software separates behavior and architecture and supports multiple abstraction levels in a single model to optimize system designs early in the development process.
Mastering IoT Design: Sense, Process, Connect: Processing: Turning IoT Data i...
Get ready to dive into the exciting world of IoT data processing! 🌐📊
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:
✅ Impact of processor architecture on Power-Performance-Area optimization
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Modeling Abstraction
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.
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This document discusses evaluating a UCIe-based multi-die system-on-chip (SoC) using system modeling to meet timing and power constraints. It provides an overview of UCIe and how it can be used to connect multiple dies. It then describes assembling a system model in VisualSim Architect using UCIe components to analyze configurations and optimize latency, bandwidth, and power. Examples of multi-media and automotive applications using UCIe-based chiplet designs are also presented.
Automotive network and gateway simulation
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.
Using ai for optimal time sensitive networking in avionics
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.
Is accurate system-level power measurement challenging? Check this out!
The most common method of computing power of a system or semiconductor is with spreadsheets. Spreadsheets generates worst case power consumption and, in most cases, is insufficient to make architecture decisions. Accurate power measurement requires knowledge of use-cases, processing time, resource consumption and any transitions. Doing this at the RTL-level or using software tools is both too late and requires huge model construction effort. Based on our experience, a systems-level model with timing, power and functionality is the only real solution to measure accurate power consumption. Unfortunately, system-level models are hard to construct because of the complex expressions, right-level of abstraction and defining the right workload. Fortunately, there is a solution that enables to you to build functional models that can generate accurate power measures. These measurements can be used to make architecture decisions, conduct performance-power trade-off, determining power management quality, and compliance with requirements.
During this Presentation, we will demonstrate how system-level power modeling and measurement works. We shall go over the requirements to create the model, what outputs to capture and how to ensure accuracy. During the presentation, the speaker will demonstrate real-life examples, share best practices, and compare with real hardware. This presentation will cover power from the perspective of semiconductor, systems and embedded software.
Mirabilis design Inc - Brochure
VisualSim Architect is graphical modeling software that allows engineers to model systems, evaluate performance through simulations, and validate software. Key features include a large library of reusable components, graphical model construction, and simulation of models to analyze metrics like latency, power consumption, and reliability. The software helps optimize system specification and design by providing feedback on simulations earlier in the design process.
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✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Using Xen Hypervisor for Functional Safety
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Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
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本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
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6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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Web:- https://undressbaby.com/
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- 1. MODEL-BASED SYSTEM SIMULATION AND ELECTRONIC SYSTEM-LEVEL DESIGN Deepak Shankar Founder Mirabilis Design Inc. Email: dshankar@mirabilisdesign.com Tom Jose Lead Application Engineer Mirabilis Design Inc. Email: tjose@mirabilisdesign.com
- 2. Agenda •Introduction to modelling •Different types of analysis •Application demo models – covering all design spectrum
- 3. Overview of System Modeling Architecture Exploration ◦ Optimize and validate the system specification ◦ Specification: Processor speed, topology and arbitration ◦ Requirements: Timing, energy, cost, weight and efficiency Performance Analysis ◦ Buffer size, utilization, throughput and response time Power Measurement ◦ Peak and average power, energy and power/task Functional Correctness ◦ Arbitration, software task scheduling and task graph Failure Analysis ◦ Hardware, Software, network, data, power and logic Making Better Quality Products
- 4. Types of Analysis Buffer management Power optimization Core and processor selection and sizing Response times for various data sizes and rates Firmware algorithm selection Algorithm, arbitration and scheduling design Credit policy and impact of the flash memory selection on throughput Memory management Software Task graph
- 5. Application Mapping on Platform Applications are a set of Complex tasks - Variable rate input stream and task dependency Contention between resources and tasks - Task assignment and sequence Trade-off between process and transfer - Reduce buffering and latency with minimal transfer time I/O DSP CPU1 CPU2 task1 task2 task3 task4 Scheduling software tasks using limited resources
- 6. Evaluate the relative benefits of architecture options System with faster Bus is slower in places Unpredictable System Response
- 7. Functional Analysis- Bus Architecture
- 9. Application Task Graph (Implementation can be in HW or SW)
- 10. Types of Exploration 1. Task Flow through system a. Source and intermediate nodes b. Latency for each flow per type c. Usage- processing, buses and memory 2. Loading on individual modules a. Memory throughput and consumption b. Bus and switch usage c. Failure and loss of data d. Non-availability of resources and memory b. Any starved flows 1. Task Flow internals a. Number of accesses per Node or Process b. Correctness of access c. Missing timing deadlines 2. Buffer and Scheduler a. Buffer size impacts b. Scheduler efficiency c. Waiting or stalled time d. Impact of task schedule offsets
- 11. Throughput Application Latency Power Performance Requirements Power Service Latency Reliability Software Task Scheduling determines System Traffic Deadline Requirements for Applications + • Extreme system unpredictability is a fundamental characteristic of advance automotive systems • Sensor/Data/Video/Voice data arrival process difficult to predict • Real-time tasks must be assured of meeting deadlines in realistic scenarios Challenges must be studied globally, ideally in the context of power, performance, and reliability
- 12. VisualSim Model of the Task Graph
- 13. Designing for an SoC Block Diagram Target Power < 1.0W Number of frames in 20 ms > 13K Three Explorations 1. All tasks deployed in Software 2. Migrate few tasks to Hardware accelerators 3. Add power management to reduce power ARM Cortex A77 ARM AMBA AXI ARM AMBA AXI Corelink CMN600 AMBA AMBA AMBA Controller VisualSim can handle any Processor architecture
- 14. Translate SoC Block Diagram into VisualSim Model Processor Bus Topology Memory Controller Hardware Accelerators Power management Use Cases SoC design methodology provides lots of flexibility in level of detail and type of analysis
- 15. Input and Reports Input Spreadsheet and Trace file Generated Report and Plots Reuse existing data to kickstart model development
- 16. Comparing Power and Performance across multiple Parameter Values SW SWSW SW HW HW HW HW Post processor and Batch-mode simulation allow for easy comparison across simulations
- 17. Datacenter modelling – Block diagram Interface 1 Interface 2 Interface 3 Interface n . . . OS1 OS2 OS3 OSn Task lookup Hypervisor Proc Core1 Proc Core2 Proc Core3 Proc Core4 Proc Core n SSD1 SSD2 SSD n HDD 1 HDD 2 HDD n Request 1 Request 2 Request n Datacenter
- 18. Datacenter system - Overview Traffic profile : Wireshark Number of Parallel flows : 3 Number of Interfaces : 5 Interface speed MHz :1000 Number of OS : 3 Number of Processors : 2 Number of cores per processor : 18 Number of SSD : 500 Size of each SSD : 1 TB Number of HDD : 500 Size of each HDD : 1 TB
- 19. VisualSim Model – Datacenter template
- 20. Analysis Latency going up, which suggests lack of resources to process the packets All Interfaces are heavily being used.
- 21. Analysis after increasing the Number of Interfaces
- 22. Causes of Failures Hardware Failure: Loss of processing cores, limited storage, reduced or loss memory device or bus overload/incorrect signals. Software failure: Resource starvation, deadlocks, data overwrite. Network failure: Network Congestion, misconfiguration, link loss and network errors. RTOS failure :Unable to achieve real-time deadlines, malicious change in schedule table, and executes beyond time slots. Power Failure: Both reduced and full power failure. Slower processing speed, limited number of resources can be executing concurrently.
- 23. MODEL-BASED SYSTEM SIMULATION AND ELECTRONIC SYSTEM-LEVEL DESIGN Deepak Shankar Founder Mirabilis Design Inc. Email: dshankar@mirabilisdesign.com Tom Jose Lead Application Engineer Mirabilis Design Inc. Email: tjose@mirabilisdesign.com