This document describes hardware description languages (HDLs) which are textual languages used to describe digital circuits. It provides examples of describing simple circuits like an OR gate and door opener in VHDL, one of the most popular HDLs. It shows how to describe the structure of circuits, behavioral models, and testbenches to verify designs. Structures like a 4-bit carry ripple adder and register are demonstrated. Overall the document serves as an introduction to HDL concepts like modeling logic gates, circuits, and testing designs using languages like VHDL.
Serge Guelton and Pierrick Brunet (Namek): “Pythran: Static Compilation of Parallel Scientific Kernels”
Abstract: As the use of Python coupled to Numpy/SciPy for numerical computation increases, many tools to optimize performance have emerged. Indeed, this duo has relatively poor performance when compared to scientific codes written in legacy languages like C or Fortran. Cython, Numba, numexpr and parakeet belongs to this new compiler ecosystem. And so does Pythran, a Python to C++11 translator for scientific Python.
Pythran uses a static compilation approach a la Cython, but with full backward compatibility with Python. It does not only turns Python code into C++ code, it also performs Python/Numpy specific optimizations, generates calls to a parallel, vectorized runtime and makes it possible to write OpenMP annotation in the original Python code. It supports a large range of Numpy functions and can combine them in efficient ways: it can optimize highlevel modern Python/Numpy codes and not only Fortran with a Python flavor ones.
This talk presents the existing compilation approach and optimization opportunities for numerical Python, their strengths and weaknesses, then focus on the specificities of the Pythran compiler.
In this talk we are going to present a preview of Spring Roo 2.0, a rewrite of the code generating tool for the development of Java web applications based on current Spring technologies like Spring Boot, Spring Data, etc.
Code GPU with CUDA - Identifying performance limitersMarina Kolpakova
This document discusses various techniques for identifying performance limiters in GPU code using CUDA. It recommends timing different parts of code, profiling to collect metrics and events, prototyping kernel parts separately, and benchmarking hardware characteristics. It provides examples of measuring wall time and GPU time. It also lists common profiling events, metrics, and discusses a case study of profiling a matrix transpose. The document emphasizes that profiling helps verify assumptions and identify bottlenecks, but does not replace optimization work.
This document introduces GraphQL and Relay. It discusses how GraphQL addresses issues with REST APIs like overfetching and nested resources. It provides examples of GraphQL queries, mutations, and connections. It also explains key aspects of Relay like object identification, connections, and mutations with client mutation IDs. Finally, it outlines setting up a simplified todo app with GraphQL and Relay.
This slides describes the basic concepts of industrial-strength compiler design. This includes basic concept of static single-assignment form (SSA) and various optimizations such as dead code elimination, global value numbering, constant propagation, etc. This is intend for a 150 minutes undergraduate compiler class.
The document provides examples of code smells in Ruby and suggestions for refactoring them. It discusses several smells including duplicate method calls, repeated conditionals, boolean parameters, utility functions, and feature envy. For each smell, it shows an example code snippet demonstrating the smell, then proposes a refactoring and notes potential tradeoffs or caveats. The overall document aims to help improve code quality and design by identifying and addressing common code smells.
A talk on static code analysis tools such as jshint, jscs, and eslint and how to use them to write good (stylish) code. Also introducing tools to enforce using the correct style via editorconfig or js-beautify to minimize efforts to write good code.
PyLadies Talk: Learn to love the command line!Blanca Mancilla
This talks aims to uncover some of the magic powers of scripting and the command line.
I'll share with you some of my experience using the shell to schedule backups of a git repository or to find strings in files of unknown name and location.
And then you might see that it is a tough love!
Serge Guelton and Pierrick Brunet (Namek): “Pythran: Static Compilation of Parallel Scientific Kernels”
Abstract: As the use of Python coupled to Numpy/SciPy for numerical computation increases, many tools to optimize performance have emerged. Indeed, this duo has relatively poor performance when compared to scientific codes written in legacy languages like C or Fortran. Cython, Numba, numexpr and parakeet belongs to this new compiler ecosystem. And so does Pythran, a Python to C++11 translator for scientific Python.
Pythran uses a static compilation approach a la Cython, but with full backward compatibility with Python. It does not only turns Python code into C++ code, it also performs Python/Numpy specific optimizations, generates calls to a parallel, vectorized runtime and makes it possible to write OpenMP annotation in the original Python code. It supports a large range of Numpy functions and can combine them in efficient ways: it can optimize highlevel modern Python/Numpy codes and not only Fortran with a Python flavor ones.
This talk presents the existing compilation approach and optimization opportunities for numerical Python, their strengths and weaknesses, then focus on the specificities of the Pythran compiler.
In this talk we are going to present a preview of Spring Roo 2.0, a rewrite of the code generating tool for the development of Java web applications based on current Spring technologies like Spring Boot, Spring Data, etc.
Code GPU with CUDA - Identifying performance limitersMarina Kolpakova
This document discusses various techniques for identifying performance limiters in GPU code using CUDA. It recommends timing different parts of code, profiling to collect metrics and events, prototyping kernel parts separately, and benchmarking hardware characteristics. It provides examples of measuring wall time and GPU time. It also lists common profiling events, metrics, and discusses a case study of profiling a matrix transpose. The document emphasizes that profiling helps verify assumptions and identify bottlenecks, but does not replace optimization work.
This document introduces GraphQL and Relay. It discusses how GraphQL addresses issues with REST APIs like overfetching and nested resources. It provides examples of GraphQL queries, mutations, and connections. It also explains key aspects of Relay like object identification, connections, and mutations with client mutation IDs. Finally, it outlines setting up a simplified todo app with GraphQL and Relay.
This slides describes the basic concepts of industrial-strength compiler design. This includes basic concept of static single-assignment form (SSA) and various optimizations such as dead code elimination, global value numbering, constant propagation, etc. This is intend for a 150 minutes undergraduate compiler class.
The document provides examples of code smells in Ruby and suggestions for refactoring them. It discusses several smells including duplicate method calls, repeated conditionals, boolean parameters, utility functions, and feature envy. For each smell, it shows an example code snippet demonstrating the smell, then proposes a refactoring and notes potential tradeoffs or caveats. The overall document aims to help improve code quality and design by identifying and addressing common code smells.
A talk on static code analysis tools such as jshint, jscs, and eslint and how to use them to write good (stylish) code. Also introducing tools to enforce using the correct style via editorconfig or js-beautify to minimize efforts to write good code.
PyLadies Talk: Learn to love the command line!Blanca Mancilla
This talks aims to uncover some of the magic powers of scripting and the command line.
I'll share with you some of my experience using the shell to schedule backups of a git repository or to find strings in files of unknown name and location.
And then you might see that it is a tough love!
IFFCO markets fertilizers through over 37,400 Cooperative Societies and 158 Farmers Service Centers. It has 5 production plants located in India. In 2005-06, production was 8.4 million tonnes with sales turnover of Rs. 9923 crore and profit after tax of Rs. 335 crore. IFFCO has joint ventures in fertilizer production and distribution in India and overseas. It is establishing an MPLS VPN network connecting its offices, plants, and service centers to integrate voice, video, and data communications over a secure wide area network.
1) Meteor allows developers to build full-stack JavaScript applications that work across browsers, mobile devices, and servers using a single codebase.
2) Key features of Meteor include isomorphism, which allows accessing data throughout the stack with universal JavaScript, and reactivity, which automatically updates the UI when data changes.
3) Meteor handles common development problems like callback hell through Fibers and reactive programming instead of callbacks, allowing for synchronous-looking code.
You have your shiny new DSL up and running thanks to the Eclipse Modeling Technologies and you built a powerful tooling with graphical modelers, textual syntaxes or dedicated editors to support it. But how can you see what is going on when a model is executed ? Don't you need to simulate your design in some way ? Wouldn't you want to see your editors being animated directly within your modeling environment based on execution traces or simulator results?
The program takes in a number N as input and outputs a N×N matrix with a specific pattern. It initializes the matrix with 0s. It then fills the diagonal with increasing numbers starting from 1. It continues filling other entries of the matrix in clockwise order, with numbers increasing by 4 in each step.
The document describes profiling web archives to provide concise summaries of their holdings. It discusses generating different types of profiles, including profiles based on complete URI-Rs, top-level domains (TLDs), sub-URIs, and segment digests. Frequency measurements are included to predict the presence of mementos. The profiles balance size and detail. A sample profile following the described structure is also shown.
This document provides instructions for a cryptography lab focusing on basic data encryption using HashCalc. The lab objectives are to use encrypting/decrypting commands and generate hashes and checksum files. HashCalc allows calculating multiple hashes, checksums, and HMACs for files, text, and hex strings using algorithms such as MD2, MD4, SHA1, SHA2 and more. The lab environment involves using the HashCalc tool located in the specified folder on a Windows Server 2012 computer with administrative privileges to run the tools. The time estimated for the lab is 10 minutes.
The document describes algorithms for updating forwarding tables stored in ternary content-addressable memory (TCAMs) when new entries are added or deleted. It presents two algorithms that improve on naive solutions by exploiting ordering constraints between prefixes to minimize memory shifts. The first algorithm relies on prefix-length ordering, while the second on chain-ancestor ordering inferred from the routing table trie structure. Both aim to shift prefixes by at most half the length of affected chains to make space for updates.
Using TypeScript at Dashlane
Dashlane was looking for a solution to add static typing to their JavaScript projects to catch errors early and improve collaboration. They considered TypeScript and ES6+Flow. While ES6+Flow offered static typing, TypeScript was more fully featured and had better community support. Dashlane adopted TypeScript, which has provided type safety and IDE features. It has been a positive experience overall.
PARASITIC COMPUTING: PROBLEMS AND ETHICAL CONSIDERATIONDr. Michael Agbaje
Parasitic computing is programming technique where a program in normal authorized interactions with another program manages to get the other program to perform computations of a complex nature. It is, in a sense, a security exploit in that the program implementing the parasitic computing has no authority to consume resources made available to the other program.The paper takes a look at the ethical issues of parasitic computing and suggest a look into the current operation of the internet TCP/IP.
This document contains an exam for a CNC course with multiple choice and written response questions. Some questions ask students to define CNC terminology, write CNC code programs, explain concepts like workpiece zero points and CNC block programming. The exam covers topics like turning operations workplans, cutting zones, tool wear locations, rapid prototyping steps, and using X-Y coordinates to demonstrate CNC block movements.
Testing Fuse Fabric with Pax Exam
This document discusses testing Fuse Fabric with Pax Exam. It covers the goals of repeatable middleware testing, an introduction to Pax Exam and how it allows running tests in real Karaf containers, and two case studies on using Pax Exam to test a "hello world" Camel route and accessing child containers via SSH. The final section briefly mentions testing the Fabric Master component in a clustered environment.
This ppt shows the process of automating a data pipeline to:
Load data from AWS S3 bucket into a Snowflake table using Airflow running in an AWS EC2 instance.
Then data is then visualized using Tableau.
Technologies used: Airflow, Python, SQL, AWS (EC2, S3), Snowflake and Tableau.
The document discusses input/output organization in computer systems. It describes peripheral devices like monitors, keyboards, printers, and storage devices that are connected to computers. It then explains the need for input/output interfaces to handle differences in signal values, timing, data formats, and operating modes between the CPU and peripherals. Common interface types include serial and parallel interfaces. The document outlines techniques for synchronous and asynchronous data transfer, including the use of handshaking protocols to ensure reliable communication between devices. It provides examples of specific interface chips like the 8251 serial interface adapter.
php[world] 2016 - You Don’t Need Node.js - Async Programming in PHPAdam Englander
Asynchronous frameworks allow developers to build stateful protocols and Internet of Things applications without threading and forking. Python, Ruby, and Node.js have had asynchronous frameworks for over ten years. PHP is now starting to catch up with Icicle.io. Learn the basics concepts of event based programming, and how the event loop allows a single thread to process all the requests for your application.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2019-alliance-vitf-facebook
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Joseph Spisak, Product Manager at Facebook, delivers the presentation "PyTorch Deep Learning Framework: Status and Directions" at the Embedded Vision Alliance's December 2019 Vision Industry and Technology Forum. Spisak gives an update on the Torch deep learning framework and where it’s heading.
REST est devenu un standard pour les APIs web. Mais malgré sa popularité, il est plein de défauts. Son successeur existe et il vient de Facebook. Venez découvrir en détail le principe, la mise en oeuvre et l’écosystème de GraphQL.
The intern tested a SIM card in a handphone but was unable to connect to 4G internet. Various troubleshooting steps were taken, including using a different UE and OAI branch, but the issue was not resolved. The intern traced code functions related to configuring NFAPI for NB-IoT and learned about PHY synchronization and custom vendor extensions. The plan for next week is to use a USRP B200, another real machine, check antenna power, and help set up the Xirka SIM card. The intern will also learn about the NFAPI P7 procedure and message and trace VNF start thread and P5 code testing functions.
Improving Software Reliability via Mining Software Engineering DataTao Xie
This document discusses mining software engineering data to improve software reliability. It presents the CAR-Miner approach, which mines sequence association rules from exception handling code to detect defects. CAR-Miner constructs exception flow graphs, generates static traces of normal and exception execution paths, and mines the traces to find sequence association rules specifying common exception handling patterns. It can check if applications violate the mined rules to find exception handling defects.
Building Data applications with Go: from Bloom filters to Data pipelines / FO...Sergii Khomenko
Many people use Go for different projects: WebDev, DevOps or other general-purpose tasks. On another hand, with all the beauty and performance of the language it could be a good challenger for Data applications. In the talk, we will go through the common problems of Data Engineering. Starting with high-performance caching and probabilistic data structures like Bloom filters, CountMin or Hyperloglog. We will cover all stages of Data Pipelining like writing data producers for open source Apache Kafka or proprietary Amazon Kinesis or Google Pub/Sub with further data consuming and processing.
The talk covers real-life use-cases of Data Applications and will provide an overview of existing possibilities of Golang as a language for data engineering. In the talk, we will cover basic ideas of building high-performance data application, creating your own data pipelines based on open source solutions and also hosted proprietary like Amazon Kinesis or Google Pub/Sub. The idea is to provide an overview how good is Golang for data engineering and what are Pros and Cons.
IFFCO markets fertilizers through over 37,400 Cooperative Societies and 158 Farmers Service Centers. It has 5 production plants located in India. In 2005-06, production was 8.4 million tonnes with sales turnover of Rs. 9923 crore and profit after tax of Rs. 335 crore. IFFCO has joint ventures in fertilizer production and distribution in India and overseas. It is establishing an MPLS VPN network connecting its offices, plants, and service centers to integrate voice, video, and data communications over a secure wide area network.
1) Meteor allows developers to build full-stack JavaScript applications that work across browsers, mobile devices, and servers using a single codebase.
2) Key features of Meteor include isomorphism, which allows accessing data throughout the stack with universal JavaScript, and reactivity, which automatically updates the UI when data changes.
3) Meteor handles common development problems like callback hell through Fibers and reactive programming instead of callbacks, allowing for synchronous-looking code.
You have your shiny new DSL up and running thanks to the Eclipse Modeling Technologies and you built a powerful tooling with graphical modelers, textual syntaxes or dedicated editors to support it. But how can you see what is going on when a model is executed ? Don't you need to simulate your design in some way ? Wouldn't you want to see your editors being animated directly within your modeling environment based on execution traces or simulator results?
The program takes in a number N as input and outputs a N×N matrix with a specific pattern. It initializes the matrix with 0s. It then fills the diagonal with increasing numbers starting from 1. It continues filling other entries of the matrix in clockwise order, with numbers increasing by 4 in each step.
The document describes profiling web archives to provide concise summaries of their holdings. It discusses generating different types of profiles, including profiles based on complete URI-Rs, top-level domains (TLDs), sub-URIs, and segment digests. Frequency measurements are included to predict the presence of mementos. The profiles balance size and detail. A sample profile following the described structure is also shown.
This document provides instructions for a cryptography lab focusing on basic data encryption using HashCalc. The lab objectives are to use encrypting/decrypting commands and generate hashes and checksum files. HashCalc allows calculating multiple hashes, checksums, and HMACs for files, text, and hex strings using algorithms such as MD2, MD4, SHA1, SHA2 and more. The lab environment involves using the HashCalc tool located in the specified folder on a Windows Server 2012 computer with administrative privileges to run the tools. The time estimated for the lab is 10 minutes.
The document describes algorithms for updating forwarding tables stored in ternary content-addressable memory (TCAMs) when new entries are added or deleted. It presents two algorithms that improve on naive solutions by exploiting ordering constraints between prefixes to minimize memory shifts. The first algorithm relies on prefix-length ordering, while the second on chain-ancestor ordering inferred from the routing table trie structure. Both aim to shift prefixes by at most half the length of affected chains to make space for updates.
Using TypeScript at Dashlane
Dashlane was looking for a solution to add static typing to their JavaScript projects to catch errors early and improve collaboration. They considered TypeScript and ES6+Flow. While ES6+Flow offered static typing, TypeScript was more fully featured and had better community support. Dashlane adopted TypeScript, which has provided type safety and IDE features. It has been a positive experience overall.
PARASITIC COMPUTING: PROBLEMS AND ETHICAL CONSIDERATIONDr. Michael Agbaje
Parasitic computing is programming technique where a program in normal authorized interactions with another program manages to get the other program to perform computations of a complex nature. It is, in a sense, a security exploit in that the program implementing the parasitic computing has no authority to consume resources made available to the other program.The paper takes a look at the ethical issues of parasitic computing and suggest a look into the current operation of the internet TCP/IP.
This document contains an exam for a CNC course with multiple choice and written response questions. Some questions ask students to define CNC terminology, write CNC code programs, explain concepts like workpiece zero points and CNC block programming. The exam covers topics like turning operations workplans, cutting zones, tool wear locations, rapid prototyping steps, and using X-Y coordinates to demonstrate CNC block movements.
Testing Fuse Fabric with Pax Exam
This document discusses testing Fuse Fabric with Pax Exam. It covers the goals of repeatable middleware testing, an introduction to Pax Exam and how it allows running tests in real Karaf containers, and two case studies on using Pax Exam to test a "hello world" Camel route and accessing child containers via SSH. The final section briefly mentions testing the Fabric Master component in a clustered environment.
This ppt shows the process of automating a data pipeline to:
Load data from AWS S3 bucket into a Snowflake table using Airflow running in an AWS EC2 instance.
Then data is then visualized using Tableau.
Technologies used: Airflow, Python, SQL, AWS (EC2, S3), Snowflake and Tableau.
The document discusses input/output organization in computer systems. It describes peripheral devices like monitors, keyboards, printers, and storage devices that are connected to computers. It then explains the need for input/output interfaces to handle differences in signal values, timing, data formats, and operating modes between the CPU and peripherals. Common interface types include serial and parallel interfaces. The document outlines techniques for synchronous and asynchronous data transfer, including the use of handshaking protocols to ensure reliable communication between devices. It provides examples of specific interface chips like the 8251 serial interface adapter.
php[world] 2016 - You Don’t Need Node.js - Async Programming in PHPAdam Englander
Asynchronous frameworks allow developers to build stateful protocols and Internet of Things applications without threading and forking. Python, Ruby, and Node.js have had asynchronous frameworks for over ten years. PHP is now starting to catch up with Icicle.io. Learn the basics concepts of event based programming, and how the event loop allows a single thread to process all the requests for your application.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2019-alliance-vitf-facebook
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Joseph Spisak, Product Manager at Facebook, delivers the presentation "PyTorch Deep Learning Framework: Status and Directions" at the Embedded Vision Alliance's December 2019 Vision Industry and Technology Forum. Spisak gives an update on the Torch deep learning framework and where it’s heading.
REST est devenu un standard pour les APIs web. Mais malgré sa popularité, il est plein de défauts. Son successeur existe et il vient de Facebook. Venez découvrir en détail le principe, la mise en oeuvre et l’écosystème de GraphQL.
The intern tested a SIM card in a handphone but was unable to connect to 4G internet. Various troubleshooting steps were taken, including using a different UE and OAI branch, but the issue was not resolved. The intern traced code functions related to configuring NFAPI for NB-IoT and learned about PHY synchronization and custom vendor extensions. The plan for next week is to use a USRP B200, another real machine, check antenna power, and help set up the Xirka SIM card. The intern will also learn about the NFAPI P7 procedure and message and trace VNF start thread and P5 code testing functions.
Improving Software Reliability via Mining Software Engineering DataTao Xie
This document discusses mining software engineering data to improve software reliability. It presents the CAR-Miner approach, which mines sequence association rules from exception handling code to detect defects. CAR-Miner constructs exception flow graphs, generates static traces of normal and exception execution paths, and mines the traces to find sequence association rules specifying common exception handling patterns. It can check if applications violate the mined rules to find exception handling defects.
Building Data applications with Go: from Bloom filters to Data pipelines / FO...Sergii Khomenko
Many people use Go for different projects: WebDev, DevOps or other general-purpose tasks. On another hand, with all the beauty and performance of the language it could be a good challenger for Data applications. In the talk, we will go through the common problems of Data Engineering. Starting with high-performance caching and probabilistic data structures like Bloom filters, CountMin or Hyperloglog. We will cover all stages of Data Pipelining like writing data producers for open source Apache Kafka or proprietary Amazon Kinesis or Google Pub/Sub with further data consuming and processing.
The talk covers real-life use-cases of Data Applications and will provide an overview of existing possibilities of Golang as a language for data engineering. In the talk, we will cover basic ideas of building high-performance data application, creating your own data pipelines based on open source solutions and also hosted proprietary like Amazon Kinesis or Google Pub/Sub. The idea is to provide an overview how good is Golang for data engineering and what are Pros and Cons.
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The document provides instructions for various commands used in the Baseband 6630 Moshell interface. It describes how to check the status of cells and sectors, save and check configuration versions, restart the baseband, list radio ports, antenna units, and installed equipment. It also provides examples for checking IP addresses, VLAN configurations, and pinging an IP address.
The document discusses Ericsson radio network equipment used in Mumbai, India including:
1. An Ericsson baseband unit (BBU 6630) and radio unit (RBS AIR 6468) that support 5G, LTE, and legacy radio technologies.
2. The BBU facilitates a scalable system with indoor baseband units and external radios.
3. The RBS is an advanced antenna system capable of beamforming and massive MIMO to enhance coverage, capacity, and performance.
4. Additional modules like the capacity plug-in unit, radio modules, and fiber distribution unit that integrate with the system are also described.
This document provides an overview of IP troubleshooting for LTE networks. It describes the key network elements in an EPS including the eNodeB, MME, SGW, PGW, PCRF and HSS. It explains the functionality of each element. The document also discusses transport network configuration, security, and backhaul recommendations for LTE networks.
OAM 3G Network Ericsson discusses operation and maintenance of Ericsson's 3G radio access network. Session 1 covers the OSS, EMAS and other tools used for network operation. Session 2 discusses commissioning radio base stations, replacing modules, backing up network nodes, and upgrading base station capacity. Key tools include OSS, EMAS, element manager and scripts for configuration tasks. Proper planning, tools and procedures are needed for tasks like commissioning, module replacement, backups and hardware upgrades.
Mobile data traffic is growing exponentially due to increased mobile internet usage. LTE was developed as the next step to address this growth by providing significantly higher data rates, lower latency, and improved system capacity over 3G networks. LTE uses OFDMA for downlinks and SC-FDMA for uplinks to achieve higher spectrum efficiency. It supports bandwidths from 1.4MHz up to 20MHz and can operate in paired and unpaired spectrum. The LTE architecture separates the radio access network and core network functions.
The document discusses the evolution of mobile networks from 3G to 4G and 5G, and provides an overview of SKY Network's plan to modernize its radio access network (RAN). The modernization will involve deploying 4G and 5G radio nodes across different scenarios, including replacing existing 3G nodes with 4G/5G, deploying new 4G-only nodes, and using indoor small cells. The interfaces, architectures and equipment involved are also described at a high level.
This document discusses Ericsson's 5G cooperation and knowledge sharing sessions with Etisalat. It provides details on Ericsson's network solutions for a non-standalone 5G deployment, including the use of a gNB, eNB, router, and synchronization components. Diagrams show example network topologies. Technical specifications are given for the AIR 6488 antenna, Baseband 6630, and Router 6471.
This document provides instructions for integrating a baseband 521x into an OSS RC, RNC, BSC network. It describes the various configuration types for new and existing sites. The procedure includes preparing tools and software, installing hardware, integrating the baseband into the RNC and OSS, setting licenses, and configuring primary/secondary and external alarm settings. It aims to commission and integrate the baseband while following standard processes.
The document discusses the structure and design flow of FPGAs. It describes how HDL code is synthesized to FPGA primitives which are then mapped and placed onto configurable logic blocks and routed. It discusses the components within configurable logic blocks including lookup tables (LUTs), multiplexers, and flip flops. It provides examples of optimizing logic using these resources such as implementing adders and multiplexers more efficiently.
This document provides an overview of Dense Wavelength Division Multiplexing (DWDM) technology. It discusses the concepts of fiber optics, wavelength division multiplexing, bandwidth demand over time, and options for increasing bandwidth capacity such as TDM and WDM. It also describes DWDM components like transponders, multiplexers/demultiplexers, optical add/drop multiplexers, and erbium-doped fiber amplifiers. Finally, it discusses the evolution of DWDM technology and its benefits for optical networking.
This document provides an overview and copyright information for the book "Verilog HDL Design Examples" by Joseph Cavanagh. It includes the following key details:
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- CRC Press is publishing the book as an imprint of the Taylor & Francis Group.
- Copyright ownership is held by Taylor & Francis Group, LLC and no claim is made to original U.S. government works.
- The book is intended to provide reliable design information and examples to readers.
The document provides examples of various VHDL constructs including entity declarations, architecture bodies, components, signals, constants, data types and objects. It shows how to describe synchronous and asynchronous logic using processes, and how to translate a state flow diagram to a two-process finite state machine description. Key constructs demonstrated include entity and architecture declarations, port maps, processes, if/else statements, case statements and sequential signal assignments.
This document discusses digital system design topics including tristate buffers, read-only memories (ROMs), and programmable logic devices. It covers how tristate buffers can output high, low, or high-impedance signals. ROMs are introduced as memory devices that can only be written once but read many times. Programmable logic arrays (PLAs) and programmable array logic (PALs) implement logic functions using a sum-of-products expression. More complex programmable logic devices (CPLDs) and field-programmable gate arrays (FPGAs) allow many logic functions to be programmed on a single chip.
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
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Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
2. Introduction
• A drawing of a circuit, or schematic,
contains graphical information about
a design
– Inverter is above the OR gate,
AND gate is to the right, etc.
• Such graphical information may not
be useful for large designs
• Can use textual language instead si
g
t
o
c
o
n
t
r
a
tap
a
DoorOpener
c
h
p
f
3. Computer-Readable Textual Language for
Describing Hardware Circuits: HDLs
• Hardware description language (HDL)
– Intended to describe circuits textually, for a computer to read
– Evolved starting in the 1970s and 1980s
• Popular languages today include:
– VHDL –Defined in 1980s by U.S. military; Ada-like language
– Verilog –Defined in 1980s by a company; C-like language
– SystemC –Defined in 2000s by several companies; consists of libraries in
C++
4. Describing Structure in VHDL
DoorOpener
c
h
p
f
AND2_1
OR2_1
Inv_1
n2
n1
(a)
(b) (c)
We'll now describe a circuit whose name is DoorOpener.
The external inputs are c, h and p, which are bits.
The external output is f, which is a bit.
We assume you know the behavior of these components:
An inverter, which has a bit input x, and bit output F.
A 2-input OR gate, which has inputs x and y,
and bit output F.
A 2-input AND gate, which has bit inputs x and y,
and bit output F.
The circuit has internal wires n1 and n2, both bits.
The DoorOpener circuit internally consists of:
An inverter named Inv_1, whose input x connects to
external input c, and whose output connects to n1.
A 2-input OR gate named OR2_1, whose inputs
connect to external inputs h and p, and whose output
connects to n2.
A 2-input AND gate named AND2_1, whose inputs
connect to n1 and n2, and whose output connects to
external output f.
That's all.
l i b r a r y i e e e ;
u s e i e e e . s t d _ l o g i c _ 1 1 6 4 . a l l ;
e n t i t y Do o r Op e n e r i s
p o r t ( c , h , p : i n s t d _ l o g i c ;
f : o u t s t d _ l o g i c
) ;
e n d Do o r Op e n e r ;
a r c h i t e c t u r e Ci r c u i t o f Do o r Op e n e r i s
c o mp o n e n t I n v
p o r t ( x : i n s t d _ l o g i c ;
F : o u t s t d _ l o g i c ) ;
e n d c o mp o n e n t ;
c o mp o n e n t OR2
p o r t ( x , y : i n s t d _ l o g i c ;
F : o u t s t d _ l o g i c ) ;
e n d c o mp o n e n t ;
c o mp o n e n t AND2
p o r t ( x , y : i n s t d _ l o g i c ;
F : o u t s t d _ l o g i c ) ;
e n d c o mp o n e n t ;
s i g n a l n 1 , n 2 : s t d _ l o g i c ; - - i n t e r n a l wi r e s
b e g i n
I n v _ 1 : I n v p o r t ma p ( x = > c , F = > n 1 ) ;
OR2 _ 1 : OR2 p o r t ma p ( x = > h , y = > p , F = > n 2 ) ;
AND2 _ 1 : AND2 p o r t ma p ( x = > n 1 , y = > n 2 , F = > f ) ;
e n d Ci r c u i t ;
5. Describing Combinational Behavior in VHDL
• Describing an OR gate's behavior
– Entity defines input/output ports
– Architecture
• Process – Describes behavior
– Behavior assigns a new value to
output port F, computed using
built-in operator "or"
library ieee;
use ieee.std_logic_1164.all;
entity OR2 is
port (x, y: in std_logic;
F: out std_logic );
end OR2;
architecture behavior of OR2 is
begin
process (x, y)
begin
F <= x or y;
end process ;
end behavior;
• Describing a custom function's behavior
– Desired function: f = c'*(h+p)
architecture beh of DoorOpener is
begin
process (c, h, p)
begin
f <= not (c) and (h or p);
end process ;
end beh;
6. Testbenches
• Testbench
– Assigns values to a system's inputs, check that system outputs
correct values
– A key use of HDLs is to simulate system to ensure design is correct
SystemToTest
Testbench
Set input
values,
check
output
values
7. Testbench in VHDL
• Entity
– No inputs or outputs
• Architecture
– Declares component to test, declares
signals
– Instantiates component, connects to
signals
– Process writes input signals, checks
output signal
• Waits a small amount of time after
writing input signals
• Checks for correct output value
using "assert" statement
l i br a r y i e e e ;
us e i e e e . s t d _ l o g i c _ 1 1 6 4 . a l l ;
e nt i t y Te s t b e n c h i s
e nd Te s t b e n c h ;
a r c hi t e c t ur e b e h a v i o r of Te s t b e n c h i s
c ompone nt Do o r Op e n e r
por t ( c , h , p : i n s t d _ l o g i c ;
f : o u t s t d _ l o g i c
) ;
e nd c ompone nt ;
s i gna l c , h , p , f : s t d _ l o g i c ;
be gi n
Do o r Op e n e r 1 : Do o r Op e n e r por t ma p ( c , h , p , f ) ;
pr oc e s s
be gi n
- - c a s e 0
c < = ' 0 ' ; h < = ' 0 ' ; p < = ' 0 ' ;
wa i t f or 1 ns ;
a s s e r t ( f = ' 0 ' ) r e por t " Ca s e 0 f a i l e d " ;
- - c a s e 1
c < = ' 0 ' ; h < = ' 0 ' ; p < = ' 1 ' ;
wa i t f or 1 ns ;
a s s e r t ( f = ' 1 ' ) r e por t " Ca s e 1 f a i l e d " ;
- - ( c a s e s 2 - 6 o mi t t e d f r o m f i g u r e )
- - c a s e 7
c < = ' 1 ' ; h < = ' 1 ' ; p < = ' 1 ' ;
wa i t f or 1 ns ;
a s s e r t ( f = ' 0 ' ) r e por t " Ca s e 7 f a i l e d " ;
wa i t ; - - p r o c e s s d o e s n o t wa k e u p a g a i n
e nd pr oc e s s ;
e nd b e h a v i o r ;
SystemToTest
Testbench
Set input
values,
check
output
values
process
DoorOpener1
8. Describing a Full-Adder in VHDL
• Entity
– Declares inputs/outputs
• Architecture
– Described behaviorally (could
have been described
structurally)
– Process sensitive to inputs
– Computes expressions, sets
outputs
l i br a r y i e e e ;
us e i e e e . s t d _ l o g i c _ 1 1 6 4 . a l l ;
e nt i t y Fu l l Ad d e r i s
por t ( a , b , c i : i n s t d _ l o g i c ;
s , c o : out s t d _ l o g i c
) ;
e nd Fu l l Ad d e r ;
a r c hi t e c t ur e b e h a v i o r of Fu l l Ad d e r i s
be gi n
pr oc e s s ( a , b , c i )
be gi n
s < = a x or b x or c i ;
c o < = ( b a nd c i ) or ( a a nd c i ) or ( a a nd b ) ;
e nd pr oc e s s ;
e nd b e h a v i o r ;
s = a xor b xor ci
co = bc + ac + ab
co
ci
b
a
s
Full
adder
9. 9
Describing a Carry-
Ripple Adder in VHDL
• Entity
– Declares inputs/outputs
– Uses std_logic_vector for 4-bit
inputs/outputs
• Architecture
– Described structurally by composing four
full-adders (could have been described
behaviorally instead)
– Declares full-adder component,
instantiates four full-adders, connects
• Note use of three internal signals for
connecting carry-out of one stage to
carry-in of next stage
l i br a r y i e e e ;
us e i e e e . s t d _ l o g i c _ 1 1 6 4 . a l l ;
e nt i t y Ca r r y Ri p p l e Ad d e r 4 i s
por t ( a : i n s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
b : i n s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
c i : i n s t d _ l o g i c ;
s : out s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
c o : out s t d _ l o g i c
) ;
e nd Ca r r y Ri p p l e Ad d e r 4 ;
a r c hi t e c t ur e s t r u c t u r e of Ca r r y Ri p p l e Ad d e r 4 i s
c ompone nt Fu l l Ad d e r
por t ( a , b , c i : i n s t d _ l o g i c ;
s , c o : out s t d _ l o g i c
) ;
e nd c ompone nt ;
s i gna l c o 1 , c o 2 , c o 3 : s t d _ l o g i c ;
be gi n
Fu l l Ad d e r 1 : Fu l l Ad d e r
por t ma p ( a ( 0 ) , b ( 0 ) , c i , s ( 0 ) , c o 1 ) ;
Fu l l Ad d e r 2 : Fu l l Ad d e r
por t ma p ( a ( 1 ) , b ( 1 ) , c o 1 , s ( 1 ) , c o 2 ) ;
Fu l l Ad d e r 3 : Fu l l Ad d e r
por t ma p ( a ( 2 ) , b ( 2 ) , c o 2 , s ( 2 ) , c o 3 ) ;
Fu l l Ad d e r 4 : Fu l l Ad d e r
por t ma p ( a ( 3 ) , b ( 3 ) , c o 3 , s ( 3 ) , c o ) ;
e nd s t r u c t u r e ;
a3
co s
FA
co
b3 a2 b2
s3 s2 s1
ci
b
a
co s
FA
ci
b
a
a1 b1
co s
FA
ci
b
a
s0
a0 b0 ci
co s
FA
ci
b
a
co1
co2
co3
10. Describing a 4-bit Register in VHDL
• Entity
– 4 data inputs, 4 data outputs, and a clock
input
– Use std_logic_vector for 4-bit data
• I: in std_logic_vector(3 downto 0)
• I <= "1000" would assign I(3)=1, I(2)=0,
I(1)=0, I(0)=0
• Architecture
– Process sensitive to clock input
• First statement detects if change on clock
was a rising edge
• If clock change was rising edge, sets
output Q to input I
• Ports are signals, and signals store values
– thus, output retains new value until set
to another value
l i br a r y i e e e ;
us e i e e e . s t d _ l o g i c _ 1 1 6 4 . a l l ;
e nt i t y Re g 4 i s
p o r t ( I : i n s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
Q: out s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
c l k : i n s t d _ l o g i c
) ;
e nd Re g 4 ;
a r c hi t e c t ur e b e h a v i o r of Re g 4 i s
be gi n
pr oc e s s ( c l k )
be gi n
i f ( c l k =' 1 ' a nd c l k ' e v e nt ) t he n
Q <= I ;
e nd i f ;
e nd pr oc e s s ;
e nd b e h a v i o r ;
11. 11
Describing an
Up-Counter in VHDL
• Described structurally (could have
been described behaviorally)
• Includes process that updates
output port C whenever internal
signal tempC changes
– Need tempC signal because
can't read C due to C being an
output port
ld
4-bit register
C
tc
4
4 4
4
cnt
4-bit up-counter
+1
l i b r a r y i e e e ;
u s e i e e e . s t d _ l o g i c _ 1 1 6 4 . a l l ;
e n t i t y Up Co u n t e r i s
p o r t ( c l k : i n s t d _ l o g i c ;
c n t : i n s t d _ l o g i c ;
C: o u t s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
t c : o u t s t d _ l o g i c
) ;
e n d Up Co u n t e r ;
a r c h i t e c t u r e s t r u c t u r e o f Up Co u n t e r i s
c o mp o n e n t Re g 4
por t ( I : i n s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
Q: o u t s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
c l k , l d : i n s t d _ l o g i c
) ;
e n d c o mp o n e n t ;
c o mp o n e n t I n c 4
por t ( a : i n s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
s : o u t s t d _ l o g i c _ v e c t o r ( 3 downt o 0 )
) ;
e n d c o mp o n e n t ;
c o mp o n e n t AND4
por t ( w, x , y , z : i n s t d _ l o g i c ;
F : o u t s t d _ l o g i c
) ;
e n d c o mp o n e n t ;
s i g n a l t e mp C: s t d _ l o g i c _ v e c t o r ( 3 downt o 0 ) ;
s i g n a l i n c C: s t d _ l o g i c _ v e c t o r ( 3 d o wn t o 0 ) ;
b e g i n
Re g 4 _ 1 : Re g 4 por t ma p ( i n c C, t e mp C, c l k , c n t ) ;
I n c 4 _ 1 : I n c 4 por t ma p ( t e mp C, i n c C) ;
AND4 _ 1 : AND4 por t ma p ( t e mp C( 3 ) , t e mp C( 2 ) ,
t e mp C( 1 ) , t e mp C( 0 ) , t c ) ;
o u t p u t C: p r o c e s s ( t e mp C)
b e g i n
C < = t e mp C;
e n d pr oc e s s ;
e n d s t r u c t u r e ;
tempC
12. Describing an Oscillator in VHDL
• Entity
– Defines clock output
• Architecture
– Process
• Has no sensitivity list, so
executes non-stop as infinite
loop
• Sets clock to 0, waits 10 ns, sets
clock to 1, waits 10 ns, repeats
l i br a r y i e e e ;
us e i e e e . s t d _ l o g i c _ 1 1 6 4 . a l l ;
e nt i t y Os c i s
por t ( c l k : out s t d _ l o g i c ) ;
e nd Os c ;
a r c hi t e c t ur e b e h a v i o r of Os c i s
be gi n
pr oc e s s
be gi n
c l k < = ' 0 ' ;
wa i t f or 1 0 ns ;
c l k < = ' 1 ' ;
wa i t f or 1 0 ns ;
e nd pr oc e s s ;
e nd b e h a v i o r ;
13. Describing a Controller
in VHDL
Inputs: b; Outputs: x
On2
On1 On3
Off
x=1
x=1
x=1
x=0
b’
b
l i b r a r y i e e e ;
u s e i e e e . s t d _ l o g i c _ 1 1 6 4 . a l l
e n t i t y L a s e r T i me r i s
p o r t ( b : i n s t d _ l o g i c ;
x : o u t s t d _ l o g i c ;
c l k , r s t : i n s t d l o g i c
) ;
e n d L a s e r T i me r ;
a r c h i t e c t u r e b e h a v i o r o f L a s e r T i me r i s
t y p e s t a t e t y p e i s
( S_ Of f , S_ On 1 , S_ On 2 , S_ On 3 ) ;
s i g n a l c u r r e n t s t a t e , n e x t s t a t e :
s t a t e t y p e ;
b e g i n
s t a t e r e g : p r o c e s s ( c l k , r s t )
b e g i n
i f ( r s t = ' 1 ' ) t h e n - - i n t i a l s t a t e
c u r r e n t s t a t e < = S_ Of f ;
e l s i f ( c l k = ' 1 ' a n d c l k ' e v e n t ) t h e n
c u r r e n t s t a t e < = n e x t s t a t e ;
e n d i f ;
e n d p r o c e s s ;
c o mb l o g i c : p r o c e s s ( c u r r e n t s t a t e , b )
b e g i n
c a s e c u r r e n t s t a t e i s
wh e n S_ Of f = >
x < = ' 0 ' ; - - l a s e r o f f
i f ( b = ' 0 ' ) t h e n
n e x t s t a t e < = S_ Of f ;
e l s e
n e x t s t a t e < = S_ On 1 ;
e n d i f ;
wh e n S_ On 1 = >
x < = ' 1 ' ; - - l a s e r o n
n e x t s t a t e < = S_ On 2 ;
wh e n S_ On 2 = >
x < = ' 1 ' ; - - l a s e r s t i l l o n
n e x t s t a t e < = S_ On 3 ;
wh e n S_ On 3 = >
x < = ' 1 ' ; - - l a s e r s t i l l o n
n e x t s t a t e < = S_ Of f ;
e n d c a s e ;
e n d p r o c e s s ;
e n d b e h a v i o r ;
• FSM behavior captured using architecture with
2 processes
– First process models state register
• Asynchronous reset sets state to "S_Off"
• Rising clock edge sets currentstate to nextstate
– Second process models combinational logic
• Sensitive to currentstate and FSM inputs
• Sets FSM outputs based on currentstate
• Sets nextstate based on currentstate and present
FSM input values
– Note declaration of new type, statetype
Combinational
logic
State register
s1 s0
n1
n0
x
b
clk
FSM
inputs
FSM
outputs
14. Summary
• Hardware Description Languages (HDLs) are widely used in
modern digital design
– Textual rather than graphical language sufficient for many
purposes
– HDLs are computer-readable
– Great for simulation
• VHDL, Verilog, and SystemC are popular
• Introduced languages mainly through examples
• Numerous HDL books exist to teach each language in more
detail