Architecting and Building High-Speed SoCs
Modern and complex SoCs can adapt to many demanding system requirements by combining the processing power of ARM processors and the feature-rich Xilinx FPGAs. You'll need to understand many protocols, use a variety of internal and external interfaces, pinpoint the bottlenecks, and define the architecture of an SoC in an FPGA to produce a superior solution in a timely and cost-efficient manner. This book adopts a practical approach to helping you master both the hardware and software design flows, understand key interconnects and interfaces, analyze the system performance and enhance it using the acceleration techniques, and finally build an RTOS-based software application for an advanced SoC design. You'll start with an introduction to the FPGA SoCs technology fundamentals and their associated development design tools. Gradually, the book will guide you through building the SoC hardware and software, starting from the architecture definition to testing on a demo board or a virtua ...
Modern and complex SoCs can adapt to many demanding system requirements by combining the processing power of ARM processors and the feature-rich Xilinx FPGAs. You'll need to understand many protocols, use a variety of internal and external interfaces, pinpoint the bottlenecks, and define the architecture of an SoC in an FPGA to produce a superior solution in a timely and cost-efficient manner. This book adopts a practical approach to helping you master both the hardware and software design flows, understand key interconnects and interfaces, analyze the system performance and enhance it using the acceleration techniques, and finally build an RTOS-based software application for an advanced SoC design. You'll start with an introduction to the FPGA SoCs technology fundamentals and their associated development design tools. Gradually, the book will guide you through building the SoC hardware and software, starting from the architecture definition to testing on a demo board or a virtua ...
Erlang Handbook
Erlang is the result of a project at Ericsson's Computer Science Laboratory to improve the programming of telecommunication applications. A critical requirement was supporting the characteristics of such applications, that include: massive concurrency, fault-tolerance, isolation, dynamic code upgrading at runtime, transactions. Throughout the whole of Erlang's history the development process has been extremely pragmatic. The characteristics and properties of the types of systems in which Ericsson was interested drove Erlang's development. These properties were considered to be so fundamental that it was decided to build support for them into the language itself, rather than in libraries. Because of the pragmatic development process, rather than a result of prior planning, Erlang "became" a functional language - since the features of functional languages fitted well with the properties of the systems being developed. The Erlang Handbook is a summary of the language features an ...
Erlang is the result of a project at Ericsson's Computer Science Laboratory to improve the programming of telecommunication applications. A critical requirement was supporting the characteristics of such applications, that include: massive concurrency, fault-tolerance, isolation, dynamic code upgrading at runtime, transactions. Throughout the whole of Erlang's history the development process has been extremely pragmatic. The characteristics and properties of the types of systems in which Ericsson was interested drove Erlang's development. These properties were considered to be so fundamental that it was decided to build support for them into the language itself, rather than in libraries. Because of the pragmatic development process, rather than a result of prior planning, Erlang "became" a functional language - since the features of functional languages fitted well with the properties of the systems being developed. The Erlang Handbook is a summary of the language features an ...
HackSpace Magazine: Issue 62
It's not yet Christmas, but we come bearing glad tidings: the supply of Raspberry Pis available to hobbyists is starting to come back to normal. To celebrate, we're exploring 20 of the best hardware projects you can build with a Raspberry Pi - whether that's large or small, simple or complex, useful or not-so-useful. - Keep your posterior warm with a home-built heated seat - Build custom electronics enclosures out of 3D printed parts and M3 bolts - Communicate with Mastodon using a Raspberry Pi Pico W - Power many, many LEDs ...
It's not yet Christmas, but we come bearing glad tidings: the supply of Raspberry Pis available to hobbyists is starting to come back to normal. To celebrate, we're exploring 20 of the best hardware projects you can build with a Raspberry Pi - whether that's large or small, simple or complex, useful or not-so-useful. - Keep your posterior warm with a home-built heated seat - Build custom electronics enclosures out of 3D printed parts and M3 bolts - Communicate with Mastodon using a Raspberry Pi Pico W - Power many, many LEDs ...
Reliable Machine Learning
Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. ...
Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. ...
Learn Ruby on Rails: Book One
This book contains the background that's missing from other tutorials. Here you'll learn key concepts so you'll have a solid foundation for continued study. Whether you choose to continue with another book in this series, a video course, or a code school, everything will make sense when you start here. You can read this book anywhere, at your leisure, on your phone or tablet. Use this book to gain background understanding when you are not at your computer. With Book Two, the next in the series, you'll need a computer at hand so you can build your first web application. In Book Two, you'll build a working web application so you'll gain hands-on experience. Along the way, you'll practice techniques used by professional Rails developers. And I'll help you'll understand why Rails is a popular choice for web development. You can start with Book Two before finishing this book if you're eager to get started building your first application. In fact, I recommend it, because the hands-o ...
This book contains the background that's missing from other tutorials. Here you'll learn key concepts so you'll have a solid foundation for continued study. Whether you choose to continue with another book in this series, a video course, or a code school, everything will make sense when you start here. You can read this book anywhere, at your leisure, on your phone or tablet. Use this book to gain background understanding when you are not at your computer. With Book Two, the next in the series, you'll need a computer at hand so you can build your first web application. In Book Two, you'll build a working web application so you'll gain hands-on experience. Along the way, you'll practice techniques used by professional Rails developers. And I'll help you'll understand why Rails is a popular choice for web development. You can start with Book Two before finishing this book if you're eager to get started building your first application. In fact, I recommend it, because the hands-o ...
Learn Ruby on Rails: Book Two
In this book, you'll build a working web application so you'll gain hands-on experience. Along the way, you'll practice techniques used by professional Rails developers. And I'll help you understand why Rails is a popular choice for web development. Read Book One to get the big picture that's missing from other tutorials. Read it anywhere, on your phone or tablet. It introduces key concepts so you'll have a solid foundation for continued study. You can start this book before you finish Book One. This book (Book Two) is for hands-on learning so you'll need your computer to follow this tutorial. ...
In this book, you'll build a working web application so you'll gain hands-on experience. Along the way, you'll practice techniques used by professional Rails developers. And I'll help you understand why Rails is a popular choice for web development. Read Book One to get the big picture that's missing from other tutorials. Read it anywhere, on your phone or tablet. It introduces key concepts so you'll have a solid foundation for continued study. You can start this book before you finish Book One. This book (Book Two) is for hands-on learning so you'll need your computer to follow this tutorial. ...
Clojure In Small Pieces
Rich Hickey invented Clojure. This is a fork of the project to experiment with literate programming as a development and documentation technology. Clojure is a break with the past traditions of Lisp. This literate fork is a break with the past traditions of code development. As such it is intended as an experiment, not a replacement or competition with the official version of Clojure. Most programmers are still locked into the idea of making a program out of a large pile of tiny files containing pieces of programs. They do not realize that this organization was forced by the fact that machines like the PDP 11 only had 8k of memory and a limit of 4k buffers in the editor. Thus there was a lot of machinery built up, such as overlay linkers, to try to reconstruct the whole program. The time has come to move into a more rational means of creating and maintaining programs. Knuth suggested we write programs like we write literature, with the idea that we are trying to communicate th ...
Rich Hickey invented Clojure. This is a fork of the project to experiment with literate programming as a development and documentation technology. Clojure is a break with the past traditions of Lisp. This literate fork is a break with the past traditions of code development. As such it is intended as an experiment, not a replacement or competition with the official version of Clojure. Most programmers are still locked into the idea of making a program out of a large pile of tiny files containing pieces of programs. They do not realize that this organization was forced by the fact that machines like the PDP 11 only had 8k of memory and a limit of 4k buffers in the editor. Thus there was a lot of machinery built up, such as overlay linkers, to try to reconstruct the whole program. The time has come to move into a more rational means of creating and maintaining programs. Knuth suggested we write programs like we write literature, with the idea that we are trying to communicate th ...
Software Development with Go
Gain insights into the different challenges that can be solved using Go, with a focus on containers, Linux, security, networking, user interfaces and other relevant cloud based topics. This book reviews the necessary tools to create container-based cloud solutions with Go, a programming language that was born out of the need to address scalable, high availability cloud computing architecture needs inside Google. Go, also known as Golang, has been adopted across different industries and products with many popular Open Source projects that power cloud computing technologies such as Docker and Kubernetes being written with Go. As the complexity of cloud technology increases, so does the need for people to understand how things work under-the-hood and to fix them when they're broken. ...
Gain insights into the different challenges that can be solved using Go, with a focus on containers, Linux, security, networking, user interfaces and other relevant cloud based topics. This book reviews the necessary tools to create container-based cloud solutions with Go, a programming language that was born out of the need to address scalable, high availability cloud computing architecture needs inside Google. Go, also known as Golang, has been adopted across different industries and products with many popular Open Source projects that power cloud computing technologies such as Docker and Kubernetes being written with Go. As the complexity of cloud technology increases, so does the need for people to understand how things work under-the-hood and to fix them when they're broken. ...
Pro DAX and Data Modeling in Power BI
Develop powerful data models that bind data from disparate sources into a coherent whole. Then extend your data models using DAX - the query language that underpins Power BI - to create reusable measures to deliver finely-crafted custom calculations in your dashboards. This book starts off teaching you how to define and enhance the core structures of your data model to make it a true semantic layer that transforms complex data into familiar business terms. You'll learn how to create calculated columns to solve basic analytical challenges. Then you'll move up to mastering DAX measures to finely slice and dice your data. The book also shows how to handle temporal analysis in Power BI using a Date dimension. You will see how DAX Time Intelligence functions can simplify your analysis of data over time. Finally, the book shows how to extend DAX to filter and calculate datasets and develop DAX table functions and variables to handle complex queries. ...
Develop powerful data models that bind data from disparate sources into a coherent whole. Then extend your data models using DAX - the query language that underpins Power BI - to create reusable measures to deliver finely-crafted custom calculations in your dashboards. This book starts off teaching you how to define and enhance the core structures of your data model to make it a true semantic layer that transforms complex data into familiar business terms. You'll learn how to create calculated columns to solve basic analytical challenges. Then you'll move up to mastering DAX measures to finely slice and dice your data. The book also shows how to handle temporal analysis in Power BI using a Date dimension. You will see how DAX Time Intelligence functions can simplify your analysis of data over time. Finally, the book shows how to extend DAX to filter and calculate datasets and develop DAX table functions and variables to handle complex queries. ...
Productionizing AI
This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app. From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you'll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You'll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions. The b ...
This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app. From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you'll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You'll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions. The b ...