This document presents an approach called Monadic Constraint Programming (MCP) for modeling and solving constraint satisfaction problems in Haskell. MCP takes the best aspects of existing modeling languages by providing high-level abstractions in a declarative style while allowing direct usage of the host language features. The document describes the MCP framework, an example of finite domain constraint solving using MCP, benchmarks comparing MCP to other solvers, and outlines future work.
Simon Peyton Jones: Managing parallelismSkills Matter
If you want to program a parallel computer, it obviously makes sense to start with a computational paradigm in which parallelism is the default (ie functional programming), rather than one in which computation is based on sequential flow of control (the imperative paradigm). And yet, and yet ... functional programmers have been singing this tune since the 1980s, but do not yet rule the world. In this talk I’ll say why I think parallelism is too complex a beast to be slain at one blow, and how we are going to be driven, willy-nilly, towards a world in which side effects are much more tightly controlled than now. I’ll sketch a whole range of ways of writing parallel program in a functional paradigm (implicit parallelism, transactional memory, data parallelism, DSLs for GPUs, distributed processes, etc, etc), illustrating with examples from the rapidly moving Haskell community, and identifying some of the challenges we need to tackle.
Braden Hancock "Programmatically creating and managing training data with Sno...Fwdays
Today's state-of-the-art machine learning models are more powerful and easy to use than ever before, however, they require massive amounts of training data. Traditionally, these training datasets require slow and often prohibitively expensive manual labeling by domain experts.
Instead, in Snorkel, users write "labeling functions" to heuristically label data; Snorkel then uses modern, theoretically-grounded modeling techniques to clean and integrate the resulting training data, without requiring any manual labeling. In a wide range of applications from medical image monitoring to text information extraction to industrial deployments over web data, Snorkel provides a radically faster and more flexible to build machine learning applications, by letting users programmatically build and manipulate training data rather than label it by hand.
Website: https://fwdays.com/en/event/data-science-fwdays-2019/review/creating-and-managing-data-with-snorkel
Learn more about C++Builder at http://www.embarcadero.com/products/cbuilder. John Thomas of Embarcadero Technologies presents C++ and its renewed usage in the high-growth mobile application development market with emphasis on the iOS and Android platforms. The presentation covers the brief history of C/C++, its renewed importance in modern application development with current frameworks, new C++11 language features, and vendor language extensions.
Simon Peyton Jones: Managing parallelismSkills Matter
If you want to program a parallel computer, it obviously makes sense to start with a computational paradigm in which parallelism is the default (ie functional programming), rather than one in which computation is based on sequential flow of control (the imperative paradigm). And yet, and yet ... functional programmers have been singing this tune since the 1980s, but do not yet rule the world. In this talk I’ll say why I think parallelism is too complex a beast to be slain at one blow, and how we are going to be driven, willy-nilly, towards a world in which side effects are much more tightly controlled than now. I’ll sketch a whole range of ways of writing parallel program in a functional paradigm (implicit parallelism, transactional memory, data parallelism, DSLs for GPUs, distributed processes, etc, etc), illustrating with examples from the rapidly moving Haskell community, and identifying some of the challenges we need to tackle.
Braden Hancock "Programmatically creating and managing training data with Sno...Fwdays
Today's state-of-the-art machine learning models are more powerful and easy to use than ever before, however, they require massive amounts of training data. Traditionally, these training datasets require slow and often prohibitively expensive manual labeling by domain experts.
Instead, in Snorkel, users write "labeling functions" to heuristically label data; Snorkel then uses modern, theoretically-grounded modeling techniques to clean and integrate the resulting training data, without requiring any manual labeling. In a wide range of applications from medical image monitoring to text information extraction to industrial deployments over web data, Snorkel provides a radically faster and more flexible to build machine learning applications, by letting users programmatically build and manipulate training data rather than label it by hand.
Website: https://fwdays.com/en/event/data-science-fwdays-2019/review/creating-and-managing-data-with-snorkel
Learn more about C++Builder at http://www.embarcadero.com/products/cbuilder. John Thomas of Embarcadero Technologies presents C++ and its renewed usage in the high-growth mobile application development market with emphasis on the iOS and Android platforms. The presentation covers the brief history of C/C++, its renewed importance in modern application development with current frameworks, new C++11 language features, and vendor language extensions.
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.
FregeDay: Roadmap for resolving differences between Haskell and Frege (Ingo W...Dierk König
Diskusssion of what kind of differences there are between Haskell 2010 and Frege, how difficult they are to resolve, what their impact is, and what to do about them. Also: how to allow essential differences that will never work outside the JVM and demarcate them from supposed-to-be vanilla Haskell.
Updates on the current status of Graal VM, a platform dedicated to run multiple programming languages at excellent performance. Experimental binaries are available from http://www.oracle.com/technetwork/oracle-labs/program-languages/overview/index.html.
In the tutorial, I go through the several topics of deep learning on text, from RNN, Attention mechanisms, to the Transformer and Bert. Deep learning on text is an evolution process that lots of mechanisms are inherited or reused. I'll use three different notebooks to show the basic text classification task, and the Seq2Seq tasks.
The source code can be found at https://github.com/jiankaiwang/sophia.
在本教程中，我介紹文字深度學習的幾個主題，從 RNN、注意力機製到 Transformer 和 Bert。 文本的深度學習是一個進化過程，許多機制被繼承或延續。我將使用三個不同的筆記本來展示基本的文本分類任務和 seq2seq 任務。
範例可以在 https://github.com/jiankaiwang/sophia 找到。
Domain-Specific Languages for Product Modeling (CWG 2011 Cologne, SAP Configu...Tim Geisler
We present ConfigModeler and VClipse, two domain-specific languages and corresponding Eclipse-based integrated development environments (IDEs) for product modeling on different levels of abstraction.
VClipse supports the direct specification of objects and dependencies using VC's abstraction level in a textual language called VCML. VC objects and dependencies can be transferred to an SAP system using RFC or product data replication (PDR) via IDocs. It is also possible to extract product models from an SAP system. This enables the use of standard text comparison tools and version control systems. VClipse is released as an open-source project on http://www.vclipse.org.
ConfigModeler supports the specification of product models in a language supporting a high degree of abstraction. Developed in a customer project at Nokia Siemens Networks, this language has been designed according to the customer's needs, uses the customer's concepts, and fits into the customer’s VC and IPC add-ons. ConfigModeler translates the product models to VC objects and dependencies represented as VCML code.
We will give a demonstration of the two development environments and give an outlook to current and future developments.
Everyday consumers turn to Google to search for where they can buy products and services near their location. If you’re business isn’t ranking in local search, you could be losing customers to your competition.
Presentazione Netlife s.r.l. Comunicazione e FormazioneNetlife s.r.l.
Netlife s.r.l. Società di Comunicazione e Formazione specializzata nella comunicazione online e web 2.0 dal 2000. Si occupa di uffici stampa online, storytelling, web communication, progetti culturali, eventi. Organizza e progetta attività di formazione sia frontak che in ,mmodalità e-learning.
Presentazione di Netlife s.r.l. società di comunicazione e formazione con sede a Venezia e Marina di Carrara che opera a Venezia, Versilia e Lago di Garda
International workshop on semantic sensor web 2011ITACA-TSB
Cognitive Networks working on large scale are object of an increasing interest by both the scientific and the commercial point of view in the context of several environments and domains. The natural convergence point for these heterogeneous disciplines is the need of a strong advanced technologic support that enables the generation of distributed observations on large scale as well as the intelligent process of obtained information. An approach based on the Semantic Sensor Web could be the key issue for enabling semantic ecosystems among heterogeneous Cognitive Networks.
SEO-201 teaches you how to optimize your content and strategy. Here are the slides from the June 22, 2016 Webinar to help you start growing your organic traffic.
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.
FregeDay: Roadmap for resolving differences between Haskell and Frege (Ingo W...Dierk König
Diskusssion of what kind of differences there are between Haskell 2010 and Frege, how difficult they are to resolve, what their impact is, and what to do about them. Also: how to allow essential differences that will never work outside the JVM and demarcate them from supposed-to-be vanilla Haskell.
Updates on the current status of Graal VM, a platform dedicated to run multiple programming languages at excellent performance. Experimental binaries are available from http://www.oracle.com/technetwork/oracle-labs/program-languages/overview/index.html.
In the tutorial, I go through the several topics of deep learning on text, from RNN, Attention mechanisms, to the Transformer and Bert. Deep learning on text is an evolution process that lots of mechanisms are inherited or reused. I'll use three different notebooks to show the basic text classification task, and the Seq2Seq tasks.
The source code can be found at https://github.com/jiankaiwang/sophia.
在本教程中，我介紹文字深度學習的幾個主題，從 RNN、注意力機製到 Transformer 和 Bert。 文本的深度學習是一個進化過程，許多機制被繼承或延續。我將使用三個不同的筆記本來展示基本的文本分類任務和 seq2seq 任務。
範例可以在 https://github.com/jiankaiwang/sophia 找到。
Domain-Specific Languages for Product Modeling (CWG 2011 Cologne, SAP Configu...Tim Geisler
We present ConfigModeler and VClipse, two domain-specific languages and corresponding Eclipse-based integrated development environments (IDEs) for product modeling on different levels of abstraction.
VClipse supports the direct specification of objects and dependencies using VC's abstraction level in a textual language called VCML. VC objects and dependencies can be transferred to an SAP system using RFC or product data replication (PDR) via IDocs. It is also possible to extract product models from an SAP system. This enables the use of standard text comparison tools and version control systems. VClipse is released as an open-source project on http://www.vclipse.org.
ConfigModeler supports the specification of product models in a language supporting a high degree of abstraction. Developed in a customer project at Nokia Siemens Networks, this language has been designed according to the customer's needs, uses the customer's concepts, and fits into the customer’s VC and IPC add-ons. ConfigModeler translates the product models to VC objects and dependencies represented as VCML code.
We will give a demonstration of the two development environments and give an outlook to current and future developments.
Everyday consumers turn to Google to search for where they can buy products and services near their location. If you’re business isn’t ranking in local search, you could be losing customers to your competition.
Presentazione Netlife s.r.l. Comunicazione e FormazioneNetlife s.r.l.
Netlife s.r.l. Società di Comunicazione e Formazione specializzata nella comunicazione online e web 2.0 dal 2000. Si occupa di uffici stampa online, storytelling, web communication, progetti culturali, eventi. Organizza e progetta attività di formazione sia frontak che in ,mmodalità e-learning.
Presentazione di Netlife s.r.l. società di comunicazione e formazione con sede a Venezia e Marina di Carrara che opera a Venezia, Versilia e Lago di Garda
International workshop on semantic sensor web 2011ITACA-TSB
Cognitive Networks working on large scale are object of an increasing interest by both the scientific and the commercial point of view in the context of several environments and domains. The natural convergence point for these heterogeneous disciplines is the need of a strong advanced technologic support that enables the generation of distributed observations on large scale as well as the intelligent process of obtained information. An approach based on the Semantic Sensor Web could be the key issue for enabling semantic ecosystems among heterogeneous Cognitive Networks.
SEO-201 teaches you how to optimize your content and strategy. Here are the slides from the June 22, 2016 Webinar to help you start growing your organic traffic.
Leverage Relationships for Sustainable AdvantageDavid Hain
Webinar presentation for MILE Madinah Institute, September 2014.
Focuses on why being more human and building Relationship Capital is a critical source of competitive advantage that is truly sustainable. Describes the mechanics on building great conversations.
The VIP Group Hotels informs all its clients that the Vip Executive Saldanha is closed for renovation works.
The VIP Executive Saldanha Hotel has 54 rooms, from which 2 are suites. All rooms are decorated in a comfortable and functional style, suitable for both leisure and business stays. The Hotel has in all rooms a private bathroom, direct outside telephone, cable TV and free safe box.
Pmemkv is an open source, key-value store for persistent memory based on the Persistent Memory Development Kit (PMDK). Written in C and C++, it provides optimized bindings for Java*, Javascript*, and Ruby on Rails*), and includes multiple storage engines for different use cases.
Close encounters in MDD: when Models meet Codelbergmans
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD.
In particular, we address the risks of transformation-based software development, such as:
• It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models.
• MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial.
In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
Close Encounters in MDD: when models meet codelbergmans
“Close encounters in MDD: when Models meet Code”
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD.
In particular, we address the risks of transformation-based software development, such as:
• It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models.
• MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial.
In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
Finally, we discuss how the presented approach fits with the ‘scalable design’ approach for developing software that is scalable with respect to evolving requirements.
This presentation material is my review about SOTA model related paper entitled with "Code Translation with Compiler Representations". It is a paper from Meta AI, and was accepted for an ICLR 2023.
The Hitchhiker's Guide to Faster Builds. Viktor Kirilov. CoreHard Spring 2019corehard_by
C++ is known for things such as performance, expressiveness, the lack of a standard build system and package management, complexity and long compile times. The inability to iterate quickly is one of the biggest killers of productivity. This talk is aimed at anyone interested in improving the last of these points - it will provide insights into why compilation (and linking) take so long for C++ and will then provide an exhaustive list of techniques and tools to mitigate the problem, such as: - tooling and infrastructure - hardware, build systems, caching, distributed builds, diagnostics of bottlenecks, code hygiene - techniques - unity builds, precompiled headers, linking (static vs shared libraries) - source code modification - the PIMPL idiom, better template use, annotations - modules - what they are, when they are coming to C++ and what becomes obsolete because of them
From Hours to Minutes: The Journey of Optimizing Mask-RCNN and BERT Using MXNetEric Haibin Lin
Training large deep learning models like Mask R-CNN and BERT takes lots of time and compute resources. Using MXNet, the Amazon Web Services deep learning framework team has been working with NVIDIA to optimize many different areas to cut the training time from hours to minutes.
Quick fix for domain-specific modeling languages using the VIATRA framework (http://viatra.inf.mit.bme.hu/) presented at the VL/HCC 2011 conference (http://www.cs.cmu.edu/~vlhcc2011/)
Efficient Validation of Large Models using the Mogwaï ToolGwendal Daniel
Scalable model persistence frameworks have been proposed to handle large (potentially generated) models involved in current industrial processes. They usually rely on databases to store and access the underlying models, and provide a lazy-loading strategy that aims to reduce the memory footprint of model
navigation and manipulation. Dedicated query and transformation solutions have been proposed to further improve performances by generating native database
queries leveraging the backend’s advanced capabilities. However, existing solutions are not designed to specifically target the validation of a set of constraints over large models. They usually rely on low-level modeling APIs to retrieve
model elements to validate, limiting the benefits of computing native database queries. In this paper we present an extension of the Mogwa¨ı query engine that aims to handle large model validation efficiently. We show how model constraints
are pre-processed and translated into database queries, and how the validation of the model can benefit from the underlying database optimizations. Our approach is released as a set of open source Eclipse plugins and is fully available online.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...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 the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
ModRef'09: Gecode support for MCP
1. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
Monadic Constraint Programming with Gecode
Pieter Wuille Tom Schrijvers
ModRef’09
Lisbon, September 20, 2009
2. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
Modelling languages
Zinc approach Gecode approach
Separate language: Library for existing language:
Very declarative Boilerplate/function calls
Transferring data/results Directly callable/usable
Not all language features All host-language features
3. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
Modelling languages
Zinc approach Gecode approach
Separate language: Library for existing language:
Very declarative Boilerplate/function calls
Transferring data/results Directly callable/usable
Not all language features All host-language features
MCP approach
Best of both worlds:
High-level abstractions
Very declarative
Directly usable
+ Compositional search transformers
4. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
MCP Framework
MCP Framework
Constraint Solving framework for Haskell
Multiple solvers, variables, domains, search strategies, . . .
Fully functional, no side-effects
Solver states and search trees are first-class data
Defines common syntactic sugar
5. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
FD-MCP: FD solving for MCP
FD-MCP: Common FD Infrastructure
FD syntax for term and constraint language
Model optimizations and decompositions
Multiple solver backends
6. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
FD-MCP: FD solving for MCP: example
model :: FDModel
model =
exist 4 $ list@[a,b,c,d] ->
list ‘allin‘ (0,711) /
sorted list /
a + b + c + d @= 711 /
a * b * c * d @= 711*100*100*100 /
return list
main = example_main_void model
7. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
FD-MCP: Solvers
FD Solvers
Haskell-only solver
Pseudo-solver that generates C++ code for Gecode
new Real solver using Gecode propagation
new Real solver using Gecode search+propagation
8. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
Benchmark: Allinterval
Benchmark allinterval
1000
C++ Gecode
MCP Generated C++
100
MCP using Gecode prop
MCP using Gecode prop+search
10 MCP Haskell
1
time (s)
0.1
0.01
0.001
0.0001
1e-05
2 4 6 8 10 12 14 16
problem size
9. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
Benchmark: Partition
Benchmark partition
1000
C++ Gecode
MCP Generated C++
100 MCP using Gecode prop
MCP using Gecode prop+search
MCP Haskell
10
1
time (s)
0.1
0.01
0.001
0.0001
4 6 8 10 12 14 16 18 20
problem size
10. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
Future Work
Future work
More benchmarks
Improve performance of MCP using Gecode propagation
Parametrized models, loop constructs, reification, . . .
More backends, constraints, variable types, . . .
Optimizations, generalizations
Concurrency
11. Modelling Languages Monadic Constraint Programming Benchmarks Future Work
Thank you!
Questions?
Further reading:
Monadic Constraint Programming,
T. Schrijvers, P. Stuckey, P. Wadler.
Journal of Functional Programming – to appear.
More information:
Source code, papers, . . .
http://www.cs.kuleuven.be/~pieterw/site.php/Topics/FDMCP
