The document discusses developing a benchmark suite called Benchmark::Perl::Formance to measure and compare the performance of different versions and configurations of Perl. It outlines challenges in building the benchmark infrastructure, running automated tests on different Perls over time, and presenting results through a Tapper test reporting system and Codespeed graphing application.
This document discusses intrinsic methods in the HotSpot JVM. It provides background on what intrinsic methods are and how they are implemented and optimized in JVMs and native compilers. It gives examples of intrinsic methods in HotSpot VM like System.currentTimeMillis(), Unsafe.compareAndSwapInt(), and Math.log(). It also discusses intrinsic methods added in TaobaoJDK like TCrc32 and how to experiment implementing your own intrinsic methods in the C1 and C2 compilers.
This document provides an overview of Java 8 including:
- Java 8 has approximately 9 million developers and Oracle supports versions 6-8.
- New features include default methods, lambda expressions, streams, and parallel processing capabilities.
- JavaScript integration allows JavaScript code to be run from Java, enabling database and other connections from JavaScript.
- Potential issues with Java 8 include more complex debugging due to lambda expressions and increased abstraction.
This document provides an overview of OpenMP, a programming model for parallel programming on shared memory architectures. It discusses key OpenMP concepts like parallel regions, data sharing attributes, worksharing constructs like parallel for loops and sections, tasks, and synchronization. The document outlines an agenda and provides examples to illustrate OpenMP directives and clauses for parallelizing loops and sections of code.
Java 7 was released in July 2011 with improvements to performance, concurrency, and memory management. Plans for Java 8 include modularity, lambda expressions, and date/time APIs. The Java Community Process is also being improved to increase transparency, participation, and agility through JSR 348. Overall, the Java ecosystem continues to grow with new languages on the JVM and an active community.
Java 8 introduces several new features that help modernize the Java platform and move it closer to parallelism. These include lambda expressions, which allow treating code as data, and default methods in interfaces, which allow interfaces to evolve while maintaining compatibility. Streams and bulk operations on collections enable a more functional, parallel style of programming. The invokedynamic bytecode instruction is enhanced to allow lambda expressions to be compiled to anonymous methods and executed efficiently by the JVM.
The document provides an overview and introduction to TuProlog (2P), a Java-based Prolog system for pervasive intelligence. 2P allows Prolog programs to be integrated with Java applications and provides tools and libraries to extend its functionality. The key points covered include: 2P's design goals of minimality and bidirectional Java integration; how to use 2P from Java via its API; how to extend 2P by developing custom libraries; and examples of using the JavaLibrary to access Java classes and methods from Prolog.
This document summarizes a presentation about the future of the Rake gem and domain-specific languages (DSLs) in Ruby.
The presentation discusses:
1. How Rake works as a Make-like program implemented in Ruby syntax with tasks and dependencies. Rake files use standard Ruby syntax.
2. Examples of common patterns for building internal DSLs in Ruby using class/module methods, method definition, implicit/explicit code blocks, and instance evaluation.
3. How popular Ruby gems like Rake, Bundler, and Thor use DSL techniques and inherit from each other to provide domain-specific interfaces.
This document discusses using Puppet to program IT infrastructures. It introduces Puppet as a tool for automating infrastructure management and provisioning. Puppet uses a declarative language and allows infrastructure to be coded and version controlled. The document provides an overview of Puppet architecture with Master and Agent nodes and explains how nodes are defined and organized using classes and modules. It also shows examples of Puppet code for configuring common services and managing files and templates.
This document discusses intrinsic methods in the HotSpot JVM. It provides background on what intrinsic methods are and how they are implemented and optimized in JVMs and native compilers. It gives examples of intrinsic methods in HotSpot VM like System.currentTimeMillis(), Unsafe.compareAndSwapInt(), and Math.log(). It also discusses intrinsic methods added in TaobaoJDK like TCrc32 and how to experiment implementing your own intrinsic methods in the C1 and C2 compilers.
This document provides an overview of Java 8 including:
- Java 8 has approximately 9 million developers and Oracle supports versions 6-8.
- New features include default methods, lambda expressions, streams, and parallel processing capabilities.
- JavaScript integration allows JavaScript code to be run from Java, enabling database and other connections from JavaScript.
- Potential issues with Java 8 include more complex debugging due to lambda expressions and increased abstraction.
This document provides an overview of OpenMP, a programming model for parallel programming on shared memory architectures. It discusses key OpenMP concepts like parallel regions, data sharing attributes, worksharing constructs like parallel for loops and sections, tasks, and synchronization. The document outlines an agenda and provides examples to illustrate OpenMP directives and clauses for parallelizing loops and sections of code.
Java 7 was released in July 2011 with improvements to performance, concurrency, and memory management. Plans for Java 8 include modularity, lambda expressions, and date/time APIs. The Java Community Process is also being improved to increase transparency, participation, and agility through JSR 348. Overall, the Java ecosystem continues to grow with new languages on the JVM and an active community.
Java 8 introduces several new features that help modernize the Java platform and move it closer to parallelism. These include lambda expressions, which allow treating code as data, and default methods in interfaces, which allow interfaces to evolve while maintaining compatibility. Streams and bulk operations on collections enable a more functional, parallel style of programming. The invokedynamic bytecode instruction is enhanced to allow lambda expressions to be compiled to anonymous methods and executed efficiently by the JVM.
The document provides an overview and introduction to TuProlog (2P), a Java-based Prolog system for pervasive intelligence. 2P allows Prolog programs to be integrated with Java applications and provides tools and libraries to extend its functionality. The key points covered include: 2P's design goals of minimality and bidirectional Java integration; how to use 2P from Java via its API; how to extend 2P by developing custom libraries; and examples of using the JavaLibrary to access Java classes and methods from Prolog.
This document summarizes a presentation about the future of the Rake gem and domain-specific languages (DSLs) in Ruby.
The presentation discusses:
1. How Rake works as a Make-like program implemented in Ruby syntax with tasks and dependencies. Rake files use standard Ruby syntax.
2. Examples of common patterns for building internal DSLs in Ruby using class/module methods, method definition, implicit/explicit code blocks, and instance evaluation.
3. How popular Ruby gems like Rake, Bundler, and Thor use DSL techniques and inherit from each other to provide domain-specific interfaces.
This document discusses using Puppet to program IT infrastructures. It introduces Puppet as a tool for automating infrastructure management and provisioning. Puppet uses a declarative language and allows infrastructure to be coded and version controlled. The document provides an overview of Puppet architecture with Master and Agent nodes and explains how nodes are defined and organized using classes and modules. It also shows examples of Puppet code for configuring common services and managing files and templates.
This document discusses how the Java Virtual Machine (JVM) can support multiple languages. It describes how language features can be emulated on the JVM through additional layers of indirection. It outlines key features added in JDK 7 like invokedynamic bytecode and method handles to better support dynamic languages on the JVM by reducing overhead from emulation. The document argues that the JVM should optimize for non-Java language features to benefit both Java and other languages running on the platform.
Slides from Talk by Jan Medved on Yang modeling and its support in OpenDaylight meetup
http://www.meetup.com/OpenDaylight-Silicon-Valley/events/212834752
Yang is a data modeling language that is rapidly being adopted to model Netconf, an IETF standardized network management protocol, as well as to model other data interfaces in OpenDaylight. Join us for the talk by expert Jan Medved to learn about Yang and its usage within OpenDaylight.
Lambdas and streams are key new features in Java 8. Lambdas allow blocks of code to be passed around as if they were objects. Streams provide an abstraction for processing collections of objects in a declarative way using lambdas. Optional is a new class that represents null-safe references and helps avoid null pointer exceptions. Checked exceptions can cause issues with lambdas, so helper methods are recommended to convert checked exceptions to unchecked exceptions.
The document discusses just-in-time (JIT) compilers in the Java Virtual Machine (JVM). It describes how JIT compilers work by compiling bytecode to native machine code during execution based on profiling information. This allows for optimizations like inlining, devirtualization, loop unrolling and eliding unnecessary synchronization that improve performance. The JIT compiler uses feedback from profiling to enable more aggressive optimizations like these.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
A Domain-Specific Embedded Language for Programming Parallel Architectures.Jason Hearne-McGuiness
This document proposes a domain-specific embedded language (DSEL) for programming parallel architectures. The DSEL aims to enable parallelism while avoiding issues like deadlocks, race conditions, and complex APIs. It presents the grammar and properties of the proposed DSEL, including that it generates schedules that are deadlock-free and race-condition free. Examples demonstrating data flow and data parallelism using the DSEL are also provided.
C++ Data-flow Parallelism sounds great! But how practical is it? Let’s see ho...Jason Hearne-McGuiness
The document summarizes a presentation on using data-parallelism in C++ to parallelize the SPEC2006 benchmark suite. It discusses the design of a data-flow library called Parallel Pixie Dust (PPD) and how it was used to parallelize some STL algorithms. Analysis of two SPEC2006 benchmarks found that only a small number of STL algorithm usages could be easily parallelized due to the functional decomposition of the code into small blocks and potential side effects. Larger functions and avoidance of side effects may enable more opportunities for parallelization.
Whats New in Java 5, 6, & 7 (Webinar Presentation - June 2013)DevelopIntelligence
Kelby Zorgdrager from DevelopIntelligence explains the differences between the variations of Java and what's new in Java 7.
If you need help with Java training DevelopIntelligence and provide on-site training within two weeks. Customized and affordable for any organization.
JVM JIT compilation overview by Vladimir IvanovZeroTurnaround
The document provides an overview of JVM JIT-compilers, including:
- JIT-compilers in the HotSpot JVM dynamically compile bytecode to native machine code during program execution for improved performance compared to interpretation alone.
- JIT-compilers use profiling information gathered during execution to perform aggressive optimizations like inlining and devirtualization.
- The monitoring and debugging of JIT-compilers in the HotSpot JVM can be done using options like -XX:+PrintCompilation, -XX:+PrintInlining, and -XX:+PrintAssembly.
Open Source Compiler Construction for the JVMTom Lee
This document discusses building a compiler for a simple language called "Awesome" that targets the Java Virtual Machine (JVM). It recommends writing a stub code generator first for quick feedback before building the full compiler. The compiler will use Scala parser combinators to parse the input into an abstract syntax tree (AST) and then walk the AST to generate equivalent JVM bytecode using the Bytecode Engineering Library (BCEL). The document outlines the overall compiler architecture and next steps to expand the language features supported by the compiler.
This document describes a presentation about introducing black magic programming patterns in Ruby and their pragmatic uses. It provides an overview of Fluentd, including what it is, its versions, and the changes between versions 0.12 and 0.14. Specifically, it discusses how the plugin API was updated in version 0.14 to address problems with the version 0.12 API. It also explains how a compatibility layer was implemented to allow most existing 0.12 plugins to work without modification in 0.14.
The document outlines many new features and enhancements coming in Java SE 8, including lambda expressions, extension methods, annotations on types, stream API additions, date and time API improvements, security enhancements, and virtual machine optimizations. It also discusses the ongoing process for Java enhancement proposals and modularization preparation work.
The document discusses static code analysis for Perl code. It introduces Perl::Lint, a static analysis tool developed by the author to analyze Perl code faster than existing tools like Perl::Critic. Perl::Lint uses Compiler::Lexer to tokenize the code and individual policy modules to check the tokens against coding rules. The document outlines Perl::Lint's architecture and opportunities for future improvement, such as better documentation and supporting additional Perl features.
My presentation slides in KMS TechCon 2014, an internal technology event at KMS Technology Vietnam company.
"Java 8 is one of the most highly anticipated programming language updates in many years. Let me give you an introduction about its new features: Lambda expressions, Method references, Default Methods, Stream API, new JS Engine, new Date/Time API and more..."
Java 8 introduced many new features including lambda expressions, default methods in interfaces, streams API and date/time API improvements. Lambda expressions allow passing code as data and functional interfaces help utilize lambda expressions. Default methods allow adding new methods to interfaces while maintaining backwards compatibility. The streams API enables functional-style operations on collections through intermediate and terminal operations. The new date/time API in Java 8 addresses shortcomings in previous date/time classes.
This is a presentation given in a Java Open day conducted by Trainologic.
Trainologic shares its training content for free at trainologic.org you can find many more free full course there.
The Parenscript Common Lisp to JavaScript compilerVladimir Sedach
The document discusses the Parenscript Common Lisp to JavaScript compiler. It describes what Parenscript is and is not, how it works, and its history and uses. Key points include that Parenscript compiles Common Lisp to readable JavaScript code without runtime dependencies or new types, and is used in web frameworks, libraries, and commercial projects.
The document discusses Perl and its suitability for enterprise computing. It covers why Perl is good for enterprises, including its high-level and dynamic nature, extensive module library, and support for multiple programming paradigms. It also addresses criticisms of Perl for enterprises and discusses the Perl Foundation and upcoming Perl 6, which will include many new features and be implemented on the Parrot virtual machine.
The document discusses new features in .NET Framework 4.0 including managed extensibility framework (MEF), language features like optional and named parameters, dynamic typing, variance support in generics, code contracts, parallelism support through task parallel library (TPL) and LINQ to Parallel (PLINQ). It provides an overview of the .NET framework architecture and new capabilities added at each version.
The document discusses Pugs, an implementation of the Perl 6 programming language. It provides background on Pugs, describing it as a Perl 6 compiler, runtime, and test suite. It then discusses various aspects of Pugs such as its hybrid runtime architecture, support for multiple backends including Perl 5 and JavaScript, extensive testing, and open development model.
This document discusses how the Java Virtual Machine (JVM) can support multiple languages. It describes how language features can be emulated on the JVM through additional layers of indirection. It outlines key features added in JDK 7 like invokedynamic bytecode and method handles to better support dynamic languages on the JVM by reducing overhead from emulation. The document argues that the JVM should optimize for non-Java language features to benefit both Java and other languages running on the platform.
Slides from Talk by Jan Medved on Yang modeling and its support in OpenDaylight meetup
http://www.meetup.com/OpenDaylight-Silicon-Valley/events/212834752
Yang is a data modeling language that is rapidly being adopted to model Netconf, an IETF standardized network management protocol, as well as to model other data interfaces in OpenDaylight. Join us for the talk by expert Jan Medved to learn about Yang and its usage within OpenDaylight.
Lambdas and streams are key new features in Java 8. Lambdas allow blocks of code to be passed around as if they were objects. Streams provide an abstraction for processing collections of objects in a declarative way using lambdas. Optional is a new class that represents null-safe references and helps avoid null pointer exceptions. Checked exceptions can cause issues with lambdas, so helper methods are recommended to convert checked exceptions to unchecked exceptions.
The document discusses just-in-time (JIT) compilers in the Java Virtual Machine (JVM). It describes how JIT compilers work by compiling bytecode to native machine code during execution based on profiling information. This allows for optimizations like inlining, devirtualization, loop unrolling and eliding unnecessary synchronization that improve performance. The JIT compiler uses feedback from profiling to enable more aggressive optimizations like these.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
A Domain-Specific Embedded Language for Programming Parallel Architectures.Jason Hearne-McGuiness
This document proposes a domain-specific embedded language (DSEL) for programming parallel architectures. The DSEL aims to enable parallelism while avoiding issues like deadlocks, race conditions, and complex APIs. It presents the grammar and properties of the proposed DSEL, including that it generates schedules that are deadlock-free and race-condition free. Examples demonstrating data flow and data parallelism using the DSEL are also provided.
C++ Data-flow Parallelism sounds great! But how practical is it? Let’s see ho...Jason Hearne-McGuiness
The document summarizes a presentation on using data-parallelism in C++ to parallelize the SPEC2006 benchmark suite. It discusses the design of a data-flow library called Parallel Pixie Dust (PPD) and how it was used to parallelize some STL algorithms. Analysis of two SPEC2006 benchmarks found that only a small number of STL algorithm usages could be easily parallelized due to the functional decomposition of the code into small blocks and potential side effects. Larger functions and avoidance of side effects may enable more opportunities for parallelization.
Whats New in Java 5, 6, & 7 (Webinar Presentation - June 2013)DevelopIntelligence
Kelby Zorgdrager from DevelopIntelligence explains the differences between the variations of Java and what's new in Java 7.
If you need help with Java training DevelopIntelligence and provide on-site training within two weeks. Customized and affordable for any organization.
JVM JIT compilation overview by Vladimir IvanovZeroTurnaround
The document provides an overview of JVM JIT-compilers, including:
- JIT-compilers in the HotSpot JVM dynamically compile bytecode to native machine code during program execution for improved performance compared to interpretation alone.
- JIT-compilers use profiling information gathered during execution to perform aggressive optimizations like inlining and devirtualization.
- The monitoring and debugging of JIT-compilers in the HotSpot JVM can be done using options like -XX:+PrintCompilation, -XX:+PrintInlining, and -XX:+PrintAssembly.
Open Source Compiler Construction for the JVMTom Lee
This document discusses building a compiler for a simple language called "Awesome" that targets the Java Virtual Machine (JVM). It recommends writing a stub code generator first for quick feedback before building the full compiler. The compiler will use Scala parser combinators to parse the input into an abstract syntax tree (AST) and then walk the AST to generate equivalent JVM bytecode using the Bytecode Engineering Library (BCEL). The document outlines the overall compiler architecture and next steps to expand the language features supported by the compiler.
This document describes a presentation about introducing black magic programming patterns in Ruby and their pragmatic uses. It provides an overview of Fluentd, including what it is, its versions, and the changes between versions 0.12 and 0.14. Specifically, it discusses how the plugin API was updated in version 0.14 to address problems with the version 0.12 API. It also explains how a compatibility layer was implemented to allow most existing 0.12 plugins to work without modification in 0.14.
The document outlines many new features and enhancements coming in Java SE 8, including lambda expressions, extension methods, annotations on types, stream API additions, date and time API improvements, security enhancements, and virtual machine optimizations. It also discusses the ongoing process for Java enhancement proposals and modularization preparation work.
The document discusses static code analysis for Perl code. It introduces Perl::Lint, a static analysis tool developed by the author to analyze Perl code faster than existing tools like Perl::Critic. Perl::Lint uses Compiler::Lexer to tokenize the code and individual policy modules to check the tokens against coding rules. The document outlines Perl::Lint's architecture and opportunities for future improvement, such as better documentation and supporting additional Perl features.
My presentation slides in KMS TechCon 2014, an internal technology event at KMS Technology Vietnam company.
"Java 8 is one of the most highly anticipated programming language updates in many years. Let me give you an introduction about its new features: Lambda expressions, Method references, Default Methods, Stream API, new JS Engine, new Date/Time API and more..."
Java 8 introduced many new features including lambda expressions, default methods in interfaces, streams API and date/time API improvements. Lambda expressions allow passing code as data and functional interfaces help utilize lambda expressions. Default methods allow adding new methods to interfaces while maintaining backwards compatibility. The streams API enables functional-style operations on collections through intermediate and terminal operations. The new date/time API in Java 8 addresses shortcomings in previous date/time classes.
This is a presentation given in a Java Open day conducted by Trainologic.
Trainologic shares its training content for free at trainologic.org you can find many more free full course there.
The Parenscript Common Lisp to JavaScript compilerVladimir Sedach
The document discusses the Parenscript Common Lisp to JavaScript compiler. It describes what Parenscript is and is not, how it works, and its history and uses. Key points include that Parenscript compiles Common Lisp to readable JavaScript code without runtime dependencies or new types, and is used in web frameworks, libraries, and commercial projects.
The document discusses Perl and its suitability for enterprise computing. It covers why Perl is good for enterprises, including its high-level and dynamic nature, extensive module library, and support for multiple programming paradigms. It also addresses criticisms of Perl for enterprises and discusses the Perl Foundation and upcoming Perl 6, which will include many new features and be implemented on the Parrot virtual machine.
The document discusses new features in .NET Framework 4.0 including managed extensibility framework (MEF), language features like optional and named parameters, dynamic typing, variance support in generics, code contracts, parallelism support through task parallel library (TPL) and LINQ to Parallel (PLINQ). It provides an overview of the .NET framework architecture and new capabilities added at each version.
The document discusses Pugs, an implementation of the Perl 6 programming language. It provides background on Pugs, describing it as a Perl 6 compiler, runtime, and test suite. It then discusses various aspects of Pugs such as its hybrid runtime architecture, support for multiple backends including Perl 5 and JavaScript, extensive testing, and open development model.
This document provides a detailed outline of topics to be covered in a book about learning the Perl programming language. The outline includes sections on scalars, arrays, control structures, regular expressions, subroutines, file input/output, directories and more. An introduction provides information on the purpose of the book, contributors, how to obtain the latest version, the intended audience and material covered.
This document contains a detailed outline of topics to be covered in a book about learning the Perl programming language. The outline includes sections on scalars, arrays, control structures, associative arrays (hashes), input/output, regular expressions, subroutines, file input/output, directories, file system manipulation, formats, using modules and more. Each section contains subsections that will provide more specific explanations of concepts within that chapter.
Hans Lellelid gave a presentation on Propel, an ORM tool for PHP applications. He began with an overview of Propel and a typical workflow using it, which involves designing a database schema in XML, configuring the code generator, building SQL and PHP classes, and then using the generated objects in an application. He then went into more depth on specific Propel features like selecting and relating database rows, customizing the code generation, and future plans for Propel 2.0.
Single Sourcing RAP and RCP - Desktop and web clients from a single code baseRalf Sternberg
This document discusses the Rich Ajax Platform (RAP), which allows developers to create a single code base for both desktop and web clients. It presents an outline on topics including RAP basics, single sourcing applications, styling, deployment, and stress testing. The document provides information on key aspects of RAP like its request lifecycle, packaging, differences from RCP, and tools for load testing RAP applications.
Spark r under the hood with Hossein FalakiDatabricks
SparkR is a new and evolving interface to Apache Spark. It offers a wide range of APIs and capabilities to Data Scientists and Statisticians. Being a distributed system with a JVM core some R users find SparkR errors unfamiliar. In this talk we will show what goes on under the hood when you interact with SparkR. We will look at SparkR architecture, performance bottlenecks and API semantics. Equipped with those, we will show how some common errors can be eliminated. I will use debugging examples based on our experience with real SparkR use cases.
This document provides an overview of the Perl programming language. It describes what Perl is used for, its main features, how to get and install documentation, how to run Perl programs and common commands, and where to get help or report bugs. The document acts as a starting point for learning more about Perl from its extensive documentation.
This document provides an overview of the Perl programming language. It describes what Perl is used for, its main features, how to get and install documentation, how to run Perl programs and common commands, and where to get help or report bugs. The document acts as a starting point for learning more about Perl from its extensive documentation.
At a previous JRubyConf, we talked about Thnad, a fictional programming language. Thnad served as a vehicle to explore the joy of building a compiler using JRuby, BiteScript, Parslet, and other tools. Now, Thnad is back with a second runtime: Rubinius. Come see the Rubinius environment through JRuby eyes. Together, we'll see how to grapple with multiple instruction sets and juggle contexts without going cross-eyed.
Linaro Connect 2016 (BKK16) - Introduction to LISAPatrick Bellasi
This presentation introduces the tutorial on the Linux Integrated System Analysis toolkit and provides a short description of its main modules. The tutorial is available on GitHub at this URL:
https://github.com/ARM-software/lisa/blob/master/ipynb/tutorial/00_LisaInANutshell.ipynb
Me3D: A Model-driven Methodology Expediting Embedded Device Driver Developmenthuichenphd
The document describes a model-driven methodology called Me3D for generating embedded device drivers. Me3D takes various specifications as input, such as hardware specifications, a device features model, and an in-kernel interface specification. It then uses this information to automatically generate C code for a device driver. The methodology was evaluated on a case study developing a driver for an MCI device, where it reduced development time and effort compared to manual development. Future work is planned to evaluate Me3D on additional operating systems and introduce tools for full automatic driver generation and validation.
It's quite hard to write cross-platform CPAN modules, especially when you use XS to interface with C libraries. Luckily, CPAN Testers tests your modules on many platforms for you. Come see how CPAN Testers helped me to create a fully portable module.
Presented at YAPC::Europe 2011.
The document discusses benchmarking and optimizing Perl code. It provides an overview of common tools for profiling Perl programs, such as Benchmark.pm, Devel::SmallProf and Devel::NYTProf. It outlines factors to consider before and after benchmarking like memory usage, CPU usage and deployment environment. Examples are given demonstrating how using modules or custom functions can improve performance compared to plain Perl code. The document stresses the importance of understanding profiling data in the context of the full system before performing optimizations.
The drivers team at MongoDB focused over the last year on conforming to common APIs and algorithms but we needed a way to validate our consistency. We therefore ended up building our own testing DSL using YAML and JSON, REST service, and individual test frameworks.
The document provides various ways to work with Perl modules from the command line and within Perl scripts. Some of the key points discussed include:
1. Using the perl command with various options like -M, -T, -l, and -w to list installed Perl modules from the command line.
2. Using the ExtUtils::Installed module to get a list of installed modules within a Perl script.
3. Using the perldoc command to view documentation for built-in and installed Perl modules.
4. Configuring the CPAN module to install additional Perl modules from the command line.
5. Checking if a specific module is installed and viewing its version number.
The document discusses techniques and tools for optimizing Rails applications. It covers topics like benchmarking tools, caching, session storage options, and common performance issues in Rails like slow helper methods and associations. The document provides recommendations on optimizing actions, views, and controllers in Rails.
Perl is a sophisticated, general purpose programming language with a rich software development environment. It is platform independent, high level and easy to use, designed to make the difficult jobs easy. It is a portable and scalable language that provides better structure for large programs than any other computer language. It's simple structure, a clearly defined syntax and relatively few keywords that allows the student to pick up the language in a relatively short period of time.and Debug it easily with its built-in debugger. Perl is one of the three P’s in the LAMP stack. According to eweek.com ‘Perl is used in virtually 100 percent of the Fortune 500, in a wide range of mission-critical systems’. According to Active Perl, there are 200 Thousand ActivePerl downloads each month.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
4. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Abstract
Perl lacks benchmarking
I work on a full-coverage solution
benchmark implementation
complete build - execute - evaluate lifecycle
benchmark result database
graphically present numbers and details
Present the vision and state
10. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
The most important benchmark question
What do you want to measure?
Primary goal: perl5, the interpreter
real world workloads
micro benchmarks
usethreads vs. no usethreads
use64bitall vs. no use64bitall
Secondary goal: misc Perl5 topics
subs vs. methods
Moose
regex engines
12. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Where is Perl?
Everywhere and nowhere
Benchmarks are a corporate topic
Perl's usual corporate visibility problem
13. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
The One Workload
No dedicated single heavy applications
Except SpamAssassin
important app
heavy for a reason
hit by 5.12 deprecations
handholding on new CPAN release
15. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Nothing else!
Not much more
16. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Writing my own benchmark suite
Goals
Have benchmark workloads
server workloads (MEM! + TIME!)
desktop workloads (small + fast)
micro benchmarks (language features)
multi purpose workloads (average, not tting in others)
Provide general benchmarking umbrella
18. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
The Perl::Formance benchmark suite
Collect existing heavy code
Collect existing benchmark snippets
Write new benchmark code from scratch
Measure execution time (smaller is better)
http://xrl.us/cpanperlformance
19. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Perl::Formance features (1)
Heavy workloads
The one: SpamAssassin
Type: server
Example corpus from spamassassin.org
Run sa-learn
20. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Perl::Formance features (2)
Wrap existing benchmarks
Language Shootout on alioth.debian.org
Type: multi purpose
binarytrees
fasta
nbody
pidigits
regexdna
revcomp
spectralnorm
fannkuch (!)
knucleotide (!)
mandelbrot (!)
Mostly copy'n'paste into Perl::Formance plugins
21. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Perl::Formance features (3)
Known heavy code from CPAN
Heavy test suites
Type: desktop
Moose test suite
Regexp::Common
Perl6 STD.pm
Type: desktop
gimme5 STD.pm6
viv STD.pm6
Data::DPath
22. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Perl::Formance features (4)
Stress of language features
Stress recursion (use Fibonacci numbers as vehicle)
Type: micro
subs - plain Perl
methods - plain Perl
methods - Moose
methods - MooseX::Declare
23. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Perl::Formance features (5)
Pathological Regular Expressions
Type: micro
Known pathological issues
my $re = (a? x $n) . (a x $n);
See
http://swtch.com/~rsc/regexp/regexp1.html
27. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Output style
Augment YAML with surrounding TAP
--tapdescription=some description
Additional Codespeed data structure
--codespeed
Why TAP?
TAP is my hammer
Later embed into Tapper infrastructure
28. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Plugin API
Very lax, just namespace + sub main()
Benchmark::Perl::Formance::Plugin::Skeleton
Benchmark::Perl::Formance::Plugin::*
sub main($options) {
...
return { Benchmark = $t,
...
};
}
33. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Automatic building
Working throughout Perl's git history (5.8..blead)
Cherry-pick xes from the future (5.8.x)
Inconsistent version tags
perlbrew?
No git
No bootstrapping CPAN, distroprefs (ANDK++), etc.
34. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
The Art of Benchmarking (1)
Stable benchmark environment
Perl - OS interaction
Flush Caches
Address Space Layout Randomisation (ASLR)
Disable Core Performance Boost
Provide stable set of CPAN dependencies
Own CPAN mirror
Only sync once in a time
Stable execution environment
Machine, Memory, Harddisk
Operating System
Compile toolchain
Lazily load benchmark plugins+dependencies after fork
35. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
The Art of Benchmarking (2)
I/O everywhere
depends on the workload
SPECcpu 2006 (Perl 5.8.7) avoids I/O
I do not ght that battle
36. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Infrastructure
CPAN module obviously not enough
I should solve all other challenges, too
Set up complete infrastructure
41. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Tapper
Test infrastructure, open sourced by AMD in 2011
Overview:
http://developer.amd.com/zones/opensource/AMDTapper
Source:
http://github.com/amd
Productized:
Starterkit/Deployment, Docs, Wiki
42. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Tapper
Why Tapper?
Tapper == TAP database + automation + scheduler
Query API for detailed data forensics
see my YAPC::EU 2009 presentation
Cinderella 'TAP - The lazy evaluation sisters of TAP::Parser
http://xrl.us/lazytap (PDF)
43. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Tapper
Why Tapper?
Schedule / intermix dierent use-cases
auto-rerun for blead/threads
auto-rerun for blead/nothreads
specic commits
completely dierent stu I add later (Perl6 benchmarks?,
smoke tests?)
Have bandwidth ratio for each,
eg. more non-threaded than threaded
Advanced automation support, timeout handling, etc.
Frontends to start single runs
cmdline + webGUI
with requested options (commitid, threads, 64bit)
Pass-through data chunks to Codespeed application
44. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Codespeed application
http://github.com/tobami/codespeed
Web application
Render benchmark graphs
Show commit/meta information
Comparison graphs, baselines, etc.
Can handle git repos
45. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Own CPAN mirror
http://perlformance.net/CPAN
To guarantee no unexpected changes
slower/faster/break
47. Abstract Motivation Measuring Workloads Perl::Formance Challenges Infrastructure Summary
Summary
I have benchmarks
I have automatic Perl + CPAN setup
I have applications for complete infrastructure
I have dedicated benchmarking server
I have dedicated CPAN mirror
Polished in many details
TODO :
1. Re-setup after server went mental
2. Allow users to request benchmark runs