Thursday, November 3, 2011

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  • Sales Rank: #1079806 in eBooks
  • Published on: 2014-10-28
  • Released on: 2014-10-28
  • Format: Kindle eBook

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Wednesday, October 26, 2011

Free PDF TradeStation Made Easy: Using EasyLanguage to Build Profits with the World's Most Popular Trading Software (Wiley Trading)

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  • Sales Rank: #7403220 in Books
  • Published on: 1600
  • Binding: Paperback

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Thursday, October 20, 2011

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Identity, Authentication, and Access Management in OpenStack: Implementing and Deploying KeystoneBy Steve Martinelli, Henry Nash, Brad T

Keystone—OpenStack's Identity service—provides secure controlled access to a cloud’s resources. In OpenStack environments, Keystone performs many vital functions, such as authenticating users and determining what resources users are authorized to access.

Whether the cloud is private, public, or dedicated, access to cloud resources and security is essential. This practical guide to using Keystone provides detailed, step-by-step guidance to creating a secure cloud environment at the Infrastructure-as-a-Service layer—as well as key practices for safeguarding your cloud's ongoing security.

  • Learn about Keystone's fundamental capabilities for providing Identity, Authentication, and Access Management
  • Perform basic Keystone operations, using concrete examples and the latest version (v3) of Keystone's Identity API
  • Understand Keystone's unique support for multiple token formats, including how it has evolved over time
  • Get an in-depth explanation of Keystone's LDAP support and how to configure Keystone to integrate with LDAP
  • Learn about one of Keystone's most sought-after features—support for federated identity

  • Sales Rank: #394620 in Books
  • Published on: 2015-12-31
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.17" h x .28" w x 7.01" l, .48 pounds
  • Binding: Paperback
  • 130 pages

About the Author

Steve Martinelli is an OpenStack Active Technical Contributor and a Keystone Core Contributor. He primarily focuses on enabling Keystone, which is OpenStack's Identity Manager, to better integrate into enterprise environments. Steve was responsible for adding Federated Identity and OAuth support to Keystone and was one of the leading contributors to Keystone to Keystone federation support for interoperable hybrid cloud enablement. In his spare time he also contributes to OpenStackClient, pyCADF, and oslo.policy and is a core contributor in each of these projects. Steve received his B.ASc. in Computer Engineering from York University.

Henry works in IBM's Cloud division as an OpenStack Architect and a core contributor to OpenStack Keystone, driving enterprise capabilities into OpenStack as well as IBM's products that use OpenStack. He has a long history of developing enterprise software, graphics and communication systems as well as nanotechnology, having founded numerous successful companies in Europe and the USA, finally coming to IBM via acquisition in 2009. He holds a 1st class honors degree in Electrical Engineering from the University of Southampton, UK.

Dr. Brad Topol is an IBM Distinguished Engineer in the IBM Cloud Architecture and Technology organization. In his current role, Brad leads a development team focused on contributing to and improving OpenStack and he has cross-IBM responsibility for coordinating its contributions to OpenStack. Brad is an OpenStack core contributor to Keystone-Specs, Pycadf, and Heat-Translator and has personally contributed to multiple OpenStack projects including Keystone, Pycadf, Heat-Translator, and DevStack. He received a Ph.D. in Computer Science from the Georgia Institute of Technology in 1998.

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Wednesday, October 12, 2011

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  • Published on: 2003-12-31
  • Binding: Hardcover

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Wednesday, September 21, 2011

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As it SeemsBy Jayne Conway

Libby and Ted have been happily married for over twelve years and live a picture perfect life; two beautiful kids, a successful business, a gorgeous home in the suburbs, money, friends, and most importantly, one another. After all these years, they are passionately in love, two of the lucky few - or so Libby believes - until one snowy evening, the unthinkable happens, and she learns... nothing is as it seems.

  • Sales Rank: #2465806 in Books
  • Published on: 2016-01-16
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.00" h x .94" w x 5.25" l, .94 pounds
  • Binding: Paperback
  • 374 pages

About the Author
As it Seems is Jayne Conway’s second novel. Her first book, What if I Fly?, was published in June 2015. Jayne is a graduate student of life and lives in Rhode Island with her three beautiful children. She is currently writing her third novel.

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Friday, September 16, 2011

PDF Download Community Ecology: Analytical Methods Using R and Excel (Data in the Wild)By Mark Gardener

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Community Ecology: Analytical Methods Using R and Excel (Data in the Wild)By Mark Gardener

Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues.

The study of ecological community data involves many methods of analysis. In this book you will learn many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. This book is for undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel.

  • Sales Rank: #1408179 in eBooks
  • Published on: 2014-03-28
  • Released on: 2014-03-28
  • Format: Kindle eBook

Review

Following an intuitive thread from data entry through to analysis and interpretation, this is intended as a comprehensive course in the main methods of community analysis, both traditional and current. The intimidating length can largely be attributed to the numerous worked examples with full output. Some techniques are demonstrated in both Excel and R, which seems superfluous, since the latter is almost invariably superior. I would have liked more on GREP, an invaluable tool for checking and formatting data, and a notable weakness of Excel. Overall this is a useful resource for postgraduate students, but it could have been more concise and selective.

(Markus Eichhorn Frontiers of Biogeography)

About the Author

Mark Gardener (www.gardenersown.co.uk) is an ecologist, lecturer, and writer working in the UK. His primary area of research was in pollination ecology and he has worked in the UK and around the word (principally Australia and the United States). Since his doctorate he has worked in many areas of ecology, often as a teacher and supervisor. He believes that ecological data, especially community data, is the most complicated and ill-behaved and is consequently the most fun to work with. He was introduced to R by a like-minded pedant whilst working in Australia during his doctorate. Learning R was not only fun but opened up a new avenue, making the study of community ecology a whole lot easier. He is currently self-employed and runs courses in ecology, data analysis, and R for a variety of organizations. Mark lives in rural Devon with his wife Christine, a biochemist who consequently has little need of statistics.

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Sunday, August 7, 2011

PDF Ebook Hardware Design Verification: Simulation and Formal Method-Based ApproachesBy William K. Lam

PDF Ebook Hardware Design Verification: Simulation and Formal Method-Based ApproachesBy William K. Lam

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Hardware Design Verification: Simulation and Formal Method-Based ApproachesBy William K. Lam

Hardware Design Verification: Simulation and Formal Method-Based ApproachesBy William K. Lam


Hardware Design Verification: Simulation and Formal Method-Based ApproachesBy William K. Lam


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Hardware Design Verification: Simulation and Formal Method-Based ApproachesBy William K. Lam

The Practical, Start-to-Finish Guide to Modern Digital Design Verification

As digital logic designs grow larger and more complex, functional verification has become the number one bottleneck in the design process. Reducing verification time is crucial to project success, yet many practicing engineers have had little formal training in verification, and little exposure to the newest solutions. Hardware Design Verification systematically presents today's most valuable simulation-based and formal verification techniques, helping test and design engineers choose the best approach for each project, quickly gain confidence in their designs, and move into fabrication far more rapidly. College students will find that coverage of verification principles and common industry practices will help them prepare for jobs as future verification engineers.

Author William K. Lam, one of the world's leading experts in design verification, is a recent winner of the Chairman's Award for Innovation, Sun Microsystems' most prestigious technical achievement award. Drawing on his wide-ranging experience, he introduces the foundational principles of verification, presents traditional techniques that have survived the test of time, and introduces emerging techniques for today's most challenging designs. Throughout, Lam emphasizes practical examples rather than mathematical proofs; wherever advanced math is essential, he explains it clearly and accessibly.

Coverage includes

  • Simulation-based versus formal verification: advantages, disadvantages, and tradeoffs
  • Coding for verification: functional and timing correctness, syntactical and structure checks, simulation performance, and more
  • Simulator architectures and operations, including event-driven, cycle-based, hybrid, and hardware-based simulators
  • Testbench organization, design, and tools: creating a fast, efficient test environment
  • Test scenarios and assertion: planning, test cases, test generators, commercial and Verilog assertions, and more
  • Ensuring complete coverage, including code, parameters, functions, items, and cross-coverage
  • The verification cycle: failure capture, scope reduction, bug tracking, simulation data dumping, isolation of underlying causes, revision control, regression, release mechanisms, and tape-out criteria
  • An accessible introduction to the mathematics and algorithms of formal verification, from Boolean functions to state-machine equivalence and graph algorithms
  • Decision diagrams, equivalence checking, and symbolic simulation
  • Model checking and symbolic computation

Simply put, Hardware Design Verification will help you improve and accelerate your entire verification process--from planning through tape-out--so you can get to market faster with higher quality designs.



  • Sales Rank: #3360514 in Books
  • Published on: 2005-03-13
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.36" h x 1.33" w x 7.20" l, 2.42 pounds
  • Binding: Hardcover
  • 624 pages

From the Back Cover

The Practical, Start-to-Finish Guide to Modern Digital Design Verification

As digital logic designs grow larger and more complex, functional verification has become the number one bottleneck in the design process. Reducing verification time is crucial to project success, yet many practicing engineers have had little formal training in verification, and little exposure to the newest solutions. Hardware Design Verification systematically presents today's most valuable simulation-based and formal verification techniques, helping test and design engineers choose the best approach for each project, quickly gain confidence in their designs, and move into fabrication far more rapidly. College students will find that coverage of verification principles and common industry practices will help them prepare for jobs as future verification engineers.

Author William K. Lam, one of the world's leading experts in design verification, is a recent winner of the Chairman's Award for Innovation, Sun Microsystems' most prestigious technical achievement award. Drawing on his wide-ranging experience, he introduces the foundational principles of verification, presents traditional techniques that have survived the test of time, and introduces emerging techniques for today's most challenging designs. Throughout, Lam emphasizes practical examples rather than mathematical proofs; wherever advanced math is essential, he explains it clearly and accessibly.

Coverage includes

  • Simulation-based versus formal verification: advantages, disadvantages, and tradeoffs
  • Coding for verification: functional and timing correctness, syntactical and structure checks, simulation performance, and more
  • Simulator architectures and operations, including event-driven, cycle-based, hybrid, and hardware-based simulators
  • Testbench organization, design, and tools: creating a fast, efficient test environment
  • Test scenarios and assertion: planning, test cases, test generators, commercial and Verilog assertions, and more
  • Ensuring complete coverage, including code, parameters, functions, items, and cross-coverage
  • The verification cycle: failure capture, scope reduction, bug tracking, simulation data dumping, isolation of underlying causes, revision control, regression, release mechanisms, and tape-out criteria
  • An accessible introduction to the mathematics and algorithms of formal verification, from Boolean functions to state-machine equivalence and graph algorithms
  • Decision diagrams, equivalence checking, and symbolic simulation
  • Model checking and symbolic computation

Simply put, Hardware Design Verification will help you improve and accelerate your entire verification process--from planning through tape-out--so you can get to market faster with higher quality designs.



About the Author

William K. Lam is senior engineering manager at Sun Microsystems Laboratories and the 2002 winner of the Chairman's Award for Innovation, Sun's highest award for technical achievement. He holds a Ph.D. in electrical engineering and computer science from the University of California, Berkeley, where he won the 1994 David J. Sakrison Memorial Award for distinguished Ph.D. thesis.



0131433474AB02072005

Excerpt. © Reprinted by permission. All rights reserved.

Two groups of people are essential to a successful design project: a design team and a verification team. Designers usually have formal training from schools. Many colleges have comprehensive curricula on logic design, ranging from introduction to digital design to advanced computer architecture. On the contrary, most verification engineers learn their trade on the job; few were educated as verification engineers in academia, although many schools are beginning to teach verification curriculum. In fact, a majority of verification engineers started out as designers and gradually transitioned to design verification. Unlike design techniques and methodologies, a broad range of verification knowledge is loosely organized and informally acquired through hands-on experience. Furthermore, the horizon of verification has been expanding at a rapid pace: The verification landscape is evolving every six months with new techniques, standards, and tools. Nevertheless, there are principles and techniques that have survived the test of time and prove to be cornerstones of verification.

This book collects and organizes a wide range of digital design verification techniques and methodologies commonly used in industry and presents them in a systematic fashion. The focus of the book is on digital logic design and verification. It does not cover verification of circuits with mixed-signal or radio frequency components. A goal of the book is to pass the vast amount of verification knowledge to college students and engineers so that they are better prepared for the workforce, and to speed up their learning pace. It is tempting to write a ten-minute verification engineering book that lists detailed practical tips that can be used immediately on the job. These quick-fix tips often become obsolete over a short period of time. On the other hand, presenting the principles only will not be immensely useful for practicing engineers. Thus, I decided to strike a balance between the two and present verification principles as well as common practices. It is my belief that only by understanding the principles can one truly grasp the essence of the practices and be creative about using them.

To the Audience

One targeted audience for this book includes undergraduate students at the junior or senior level or first-level graduate students. I will assume that these readers have a sound understanding of a hardware descriptive language, preferably Verilog, because Verilog is used for illustration purposes in most parts of the book. In addition, a rudimentary knowledge of logic design is beneficial. This book is an introduction to design verification. Through its study, students will learn the main ideas, tools, and methodologies used in simulation-based verification, and the principles behind formal verification. The materials presented are industry tested and widely used. At the end of each chapter, problems are presented as a means of refreshing the knowledge covered in the chapter. For those who want to explore certain topics in more depth, please refer to the citations listed in the bibliography.

The other targeted audience includes verification professionals who may have some verification experience but would like to get a systematic overview of the different areas in verification and an understanding of the basic principles behind formal verification. The prerequisites for this audience are similar to those for the first group: basic design knowledge and a hardware descriptive language. The first part of the book provides a comprehensive treatment of simulation-based verification methodology and serves as a refresher or an introduction to verification professionals. For many practicing engineers, formal verification tools appear to be a form of black magic that requires a doctorate in mathematics to comprehend. This book explains these tools and the working principles of formal verification. Before formal verification is discussed in depth, Chapter 7 reviews the basics of mathematics and computer algorithms required to understand verification algorithms fully.

As with every technology, there is no substitution for hands-on experience. I encourage you to get acquainted with verification tools by running some of the examples and problems in the book or designing a project that makes use of the tools described. Free CAD tools such as Verilog simulator, test bench development aid, and waveform viewer are available at www.verilog.net/free.html.

To the Instructor

This book is comprised of two parts. The first part addresses the conventional verification strategy-simulation-based verification-whereas the second part addresses the aspects of formal verification that are well established in academia and tested in industry. The two parts are self-contained and thus can be taught independently as deemed fit.

The first part describes many verification tools. Because the specifics of these tools differ from vendor to vendor and change from time to time, only pseudo common commands are used in this book. To reinforce learning these tools, I recommend that industrial tools be part of a verification laboratory (for instance, a simulator, a waveform viewer, a coverage tool, a bug tracking system, and a revision control system). Similarly, to solidify the knowledge of formal verification, commercial formal verification tools such as an HDL linter, a model checker, and an equivalence checker should be used during lab sessions.

This book has a companion instructor's manual that contains the solutions to all the problems at the end of each chapter. The instructor's manual is available on request to the publisher.

Organization of the Book

Again, this book is intended as an introduction to design verification. I will assume that you have an understanding of basic Verilog constructs. Even though the book is written using Verilog as the hardware description language, I made an effort to present ideas independent of Verilog. When the use of Verilog is unavoidable, the simplest Verilog constructs are used to allow readers unfamiliar with the language to grasp the main ideas.

As previously stated, this book consists of two parts. The first part is devoted to simulation-based verification and the second part discusses formal verification. Simulation-based verification is by far the most widely used methodology and is a necessary requirement for all verification engineers. Formal verification is a relatively new technology and it complements simulation-based verification. I believe that to utilize a technology best, one must first be equipped with an in-depth understanding of the internal working principles of that technology. As a result, instead of just studying a verification tool's operations at the user level-a topic better suited for user manuals-this book spends much time studying the fundamental principles of simulation and formal technology.

The first part--simulation technology--consists of Chapters 2 through 6, and these chapters are ordered similar to the usual sequence of operations encountered during a simulation verification process. We start with Chapter 2, checking for static errors. These are errors that can be detected without input vectors and must be eliminated before extensive simulation begins. In Chapter 3, we study the basic architectures of simulators. Event-driven and cycle-based simulation algorithms are presented first, followed by simulator operations and applications for which we discuss cosimulation, design profiling, common simulator options, and the user interface.

Before one can begin a simulation, one must construct a test bench to host the design. Chapter 4 discusses test bench design, initialization, stimuli generation, clock network, error injection, result assessment, and test configuration. After a design is free of static errors and is embedded in a test bench, it is ready to be simulated. But how should the design be simulated? Chapter 5 addresses the issues of what to simulate and how to measure the quality of the simulation. We will look at test plan design, generation of tests for the items in the test plan, output response assessment, assertion (particularly, SystemVerilog assertions), and verification coverage.

After a circuit is simulated and the bugs are discovered, the next step is to debug problems found during simulation. Chapter 6 presents widely used debugging techniques, including case reduction, check pointing, error tracing, trace dumping, and forward and backward debugging. In addition, Chapter 6 examines the four basic views of design: source code, schematic, waveform, and finite-state machine. We then examine the scenario after the bugs are fixed. The tools and methodology discussed include the revision control system, regression mechanism, and tape-out criteria.

The second part of the book--formal verification--consists of Chapters 7 through 9. Several chapters in the first part of the book can be studied in conjunction with the second. For example, Chapters 2, 4, 5, and 6 are also applicable to formal verification.

The key to understanding formal verification lies in an understanding of the theory behind it. Chapter 7 provides the basic mathematical background for the later chapters. The materials cover Boolean functions and representations, symmetric Boolean functions, finite-state machines and the equivalence algorithm, and graphic algorithms such as depth-first search and breadth-first search, and strongly connected components.

Chapter 8 presents a survey of decision diagrams, with an emphasis on binary decision diagrams. We then review SAT (satisfiability) as an alternative to decision diagrams. The chapter concludes with a look at applications of decision diagrams and SAT in equivalence checking and symbolic simulation.

Chapter 9 presents an in-depth study of symbolic model checking. First it presents automata and computational tree logic as a means of modeling temporal behavior with fairness constraints. It then discusses algorithms for checking a model against a temporal specification. Based on the model-checking algo...

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