Rainer Grimm, “Functional Programming in C++11”Platonov Sergey
C++ это мультипарадигменный язык, поэтому программист сам может выбирать и совмещать структурный, объектно-ориентированный, обобщенный и функциональный подходы. Функциональный аспект C++ особенно расширился стандартом C++11: лямбда-функции, variadic templates, std::function, std::bind. (язык доклада: английский).
Bartosz Milewski, “Re-discovering Monads in C++”Platonov Sergey
Once you know what a monad is, you start seeing them everywhere. The std::future library of C++11 was an example of an incomplete design, which stopped short of recognizing the monadic nature of futures. This is now being remedied in C++17, and there are new library additions, like std::expected and the range library, that are much more monad-conscious. I’ll explain what a monad is using copious C++ examples.
Rainer Grimm, “Functional Programming in C++11”Platonov Sergey
C++ это мультипарадигменный язык, поэтому программист сам может выбирать и совмещать структурный, объектно-ориентированный, обобщенный и функциональный подходы. Функциональный аспект C++ особенно расширился стандартом C++11: лямбда-функции, variadic templates, std::function, std::bind. (язык доклада: английский).
Bartosz Milewski, “Re-discovering Monads in C++”Platonov Sergey
Once you know what a monad is, you start seeing them everywhere. The std::future library of C++11 was an example of an incomplete design, which stopped short of recognizing the monadic nature of futures. This is now being remedied in C++17, and there are new library additions, like std::expected and the range library, that are much more monad-conscious. I’ll explain what a monad is using copious C++ examples.
A class that automates conversion from a C++ recursive function to an iterative function. It allow the recursive function to preserve its structure by reproducing the "call stack" on an std::stack. The examples use combinatorics to illustrate usage.
Computer Vision using Ruby and libJIT - RubyConf 2009Jan Wedekind
Ruby originated in Japan, the country which is world-leading in robotic research. It suggests itself to put the two together and to start using Ruby as a language to program robots. However at the moment the performance of available Ruby interpreters is not sufficient. It is hard to achieve performance comparable to compiled C++-code since manipulation of Ruby-integers and Ruby-arrays requires frequent bounds-checking. It can be shown that universal bounds-check elimination is actually impossible.
An overview of the inner-workings of OpenJDK - with emphasis on...
- what triggers the just-in-time compiler (JIT)
- types of speculative optimizations performed by the JIT
- aspects of the Java language & ecosystem that make ahead-of-time (AOT) compilation challenging
This talk is a look into some of the surprising performance cases in Java -- with the goal of illustrating a few simple truths about the nature of compilers.
Software transactional memory. pure functional approachAlexander Granin
Slides for C++ Russia 2018
I'm presenting my `cpp_stm_free` library: composable monadic STM for C++ on Free monads for lock-free concurrent programming.
A class that automates conversion from a C++ recursive function to an iterative function. It allow the recursive function to preserve its structure by reproducing the "call stack" on an std::stack. The examples use combinatorics to illustrate usage.
Computer Vision using Ruby and libJIT - RubyConf 2009Jan Wedekind
Ruby originated in Japan, the country which is world-leading in robotic research. It suggests itself to put the two together and to start using Ruby as a language to program robots. However at the moment the performance of available Ruby interpreters is not sufficient. It is hard to achieve performance comparable to compiled C++-code since manipulation of Ruby-integers and Ruby-arrays requires frequent bounds-checking. It can be shown that universal bounds-check elimination is actually impossible.
An overview of the inner-workings of OpenJDK - with emphasis on...
- what triggers the just-in-time compiler (JIT)
- types of speculative optimizations performed by the JIT
- aspects of the Java language & ecosystem that make ahead-of-time (AOT) compilation challenging
This talk is a look into some of the surprising performance cases in Java -- with the goal of illustrating a few simple truths about the nature of compilers.
Software transactional memory. pure functional approachAlexander Granin
Slides for C++ Russia 2018
I'm presenting my `cpp_stm_free` library: composable monadic STM for C++ on Free monads for lock-free concurrent programming.
This presentation considers certain specific features of C++11 and additions to STL library (uniform initialization, new containers and methods, move semantics).
Presentation by Taras Protsiv (Software Engineer, GlobalLogic), Kyiv, delivered at GlobalLogic C++ TechTalk in Lviv, September 18, 2014.
More details -
http://www.globallogic.com.ua/press-releases/lviv-cpp-techtalk-coverage
Presentation with a brief history of C, C++ and their ancestors along with an introduction to latest version C++11 and futures such as C++17. The presentation covers applications that use C++, C++11 compilers such as LLVM/Clang, some of the new language features in C++11 and C++17 and examples of modern idioms such as the new form compressions, initializer lists, lambdas, compile time type identification, improved memory management and improved standard library (threads, math, random, chrono, etc). (less == more) || (more == more)
Hierarchical free monads and software design in fpAlexander Granin
I invented the approach I call "Hierarchical Free Monads". It helps to build applications in Haskell with achieving all the needed code quality requirements. I tested this approach in several real world projects and companies, and it works very well.
What is the difference between Final Tagless and Free Monads from the Software Design point of view? What is Hierarchical Free Monads approach? How to build real applications in Haskell?
This talk was given on FPure 2019, Kazan.
The Present and The Future of Functional Programming in C++Alexander Granin
Keynote talk for C++ Siberia 2019.
I'm speaking about why Functional Programming is important in C++ world, what is the philosophy of FP in C++, and what features do we have. I'm presenting a connection of constexpr and template metaprogramming to pure FP, and talking about why monads are inevitable. I'm also discussing an upcoming features in C++.
Небольшой доклад о мифах в функциональном программировании для DevDay@2GIS.
Slides for my talk to DevDay@2GIS about functional programming: See the talk here (Rus):
https://youtu.be/jSkYvNqQWqs
Линзы - концепция функционального программирования, позволяющая легко оперировать сколь угодно сложными структурами данных. Линзы решают две проблемы: снижают сложность обработки данных и предоставляют абстракцию над запросами к данным, делая код устойчивым к поломкам при изменении структуры данных.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
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✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
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✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
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✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Why Mobile App Regression Testing is Critical for Sustained Success_ A Detail...kalichargn70th171
A dynamic process unfolds in the intricate realm of software development, dedicated to crafting and sustaining products that effortlessly address user needs. Amidst vital stages like market analysis and requirement assessments, the heart of software development lies in the meticulous creation and upkeep of source code. Code alterations are inherent, challenging code quality, particularly under stringent deadlines.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
2. Plan
● Functional Programming in C++
● Concurrent models
● Software Transactional Memory
● Monadic STM in C++
● Advanced Functional Programming in C++
22. template <typename A>
STML<TVar<A>> newTVar(const A& val);
template <typename A>
STML<A> readTVar(const TVar<A>& tvar);
STM: TVar operations
newTVar :: a → STML (TVar a)
readTVar :: TVar a → STML a
23. template <typename A>
STML<TVar<A>> newTVar(const A& val);
template <typename A>
STML<A> readTVar(const TVar<A>& tvar);
template <typename A>
STML<Unit> writeTVar(const TVar<A>& tvar,
const A& val);
STM: TVar operations
newTVar :: a → STML (TVar a)
readTVar :: TVar a → STML a
writeTVar :: TVar a → a → STML ()
24. STM: Monadically composable transactions
transaction :: STML Int
transaction = do
tvar ← newTVar 10
readTVar tvar
STML<int> transaction() {
STML<TVar<int>> tvarTrans = newTVar(10);
// return readTVar(tvarTrans);
// ????
}
30. template <typename A, typename Ret>
struct NewTVar
{
A val;
std::function<Ret(TVar<A>)> next;
};
template <typename A, typename Ret>
struct ReadTVar
{
TVar<A> tvar;
std::function<Ret(A)> next;
};
template <typename A, typename Ret>
struct WriteTVar
{
TVar<A> tvar;
A val;
std::function<Ret(fp::Unit)> next;
};
template <typename A, typename Ret>
struct Retry
{
};
STM eDSL
31. template <class Ret>
struct STMF
{
std::variant<NewTVar <std::any, Ret>,
ReadTVar <std::any, Ret>,
WriteTVar <std::any, Ret>,
Retry <std::any, Ret>
> stmf;
};
STM eDSL Generalized ADT
data STMF next where
NewTVar :: a -> (TVar a -> next) -> STMF next
WriteTVar :: TVar a -> a -> next -> STMF next
ReadTVar :: TVar a -> (a -> next) -> STMF next
Retry :: STMF next
38. Free monads
-- Free monad, normal form
data Free f a = Pure a
| Bind (f (Free f a))
Binding complexity: O(n2
)
<stm/free/stm.h>
39. Free monads
-- Free monad, normal form
data Free f a = Pure a
| Bind (f (Free f a))
-- Free monad, Church-encoded form
data ChurchFree f a
= ChurchFree { runChurch :: forall z. (a -> z)
-> (f z -> z)
-> z }
Binding complexity: O(n2
)
<stm/free/stm.h>
Binding complexity: O(n)
<stm/church/stm.h>
(10x faster)
40. Free monads
-- Free monad, normal form
data Free f a = Pure a
| Bind (f (Free f a))
-- Free monad, Church-encoded form
data ChurchFree f a
= ChurchFree { runChurch :: forall z. (a -> z)
-> (f z -> z)
-> z }
-- Free monad, Scott-encoded form
data Free a = Free { runFree :: forall u . (a -> u)
-> (f (Free f a) -> u)
-> u }
Binding complexity: O(n2
)
<stm/free/stm.h>
Binding complexity: O(n)
<stm/church/stm.h>
(10x faster)
Binding complexity: O(n2
)
41. STML Free monad type (normal form)
-- Free monad, normal form
data Free f a = Pure a
| Bind (f (Free f a))
-- STML Free monad type
type STML a = Free STMF a
42. STML Free monad type (normal form)
-- Free monad, normal form
data Free f a = Pure a
| Bind (f (Free f a))
-- STML Free monad type
type STML a = Free STMF a
f ~ STMF
f (Free f a) ~ STMF (Free STMF a)
f (Free f a) ~ STMF (STML a)
43. STML Free monad type (normal form)
-- Free monad, normal form
data Free f a = Pure a
| Bind (f (Free f a))
-- STML Free monad type
type STML a = Free STMF a
f ~ STMF
f (Free f a) ~ STMF (Free STMF a)
f (Free f a) ~ STMF (STML a)
template <typename Ret>
struct STML {
std::variant<PureF<Ret>, BindF<Ret>> stml;
};
template <typename Ret>
struct PureF {
Ret ret;
};
template <typename Ret>
struct BindF {
STMF<STML<Ret>> stmf;
};