Ruby is a wonderful language for rapid development, it is easy to learn, we have wonderful frameworks, an active and dynamic community. But when it comes to concurrency Ruby is plagued with problems, controversies and urban legends. A lot of people would know about green threads in Ruby, GIL and its inherent limitations. But that it only one part of the big picture. Ruby offers much more than threads to helps us with concurrency.
This presentation explores other options of writing highly concurrent applications in Ruby and options available in it. We cover topics ranging from Actor like message passing concurrency in Ruby, dataflow concurrency of how we can coordinate across different threads, Event driven methods, coroutine based concurrency which never blocks ;) and finally Software Transactional Memory. We look at lots of code, some serious looking yet colorful performance graphs comparisons, and conditions at which each of these forms are concurrency are effective and ineffective.
Gael Fraiteur argues that multithreaded programming needs to be addressed at the right level of abstraction, with design patterns like Actor, Immutable, Freezable, Thread Affine, Reader-Writer-Synchronized. Design patterns form a language and serve as a model against which code can be expressed. Compilers must support design patterns to allow code to be deterministically validated against the model, and of course to generate the low-level instructions that would be otherwise written manually.
Concurrency in production. Real life example - Dmytro Herasymuk | Ruby Medita...Ruby Meditation
Speech of Dmytro Herasymuk, WEB developer at Softermii, at Ruby Meditation #25 Kyiv 08.12.2018
Next conference - http://www.rubymeditation.com/
The modern world demands to be faster and faster. Engineers create more powerful CPUs every day, but our app depends on third party apps too often in the WEB world. So, even the fastest CPU can't cope with I/O delays. On the one hand multithreading could help in such cases, but on the other hand, it seems to be a hard decision of using concurrency in production.
Dmytro would like to share his experience in this field
Announcements and conference materials https://www.fb.me/RubyMeditation
News https://twitter.com/RubyMeditation
Photos https://www.instagram.com/RubyMeditation
The stream of Ruby conferences (not just ours) https://t.me/RubyMeditation
Ruby is a wonderful language for rapid development, it is easy to learn, we have wonderful frameworks, an active and dynamic community. But when it comes to concurrency Ruby is plagued with problems, controversies and urban legends. A lot of people would know about green threads in Ruby, GIL and its inherent limitations. But that it only one part of the big picture. Ruby offers much more than threads to helps us with concurrency.
This presentation explores other options of writing highly concurrent applications in Ruby and options available in it. We cover topics ranging from Actor like message passing concurrency in Ruby, dataflow concurrency of how we can coordinate across different threads, Event driven methods, coroutine based concurrency which never blocks ;) and finally Software Transactional Memory. We look at lots of code, some serious looking yet colorful performance graphs comparisons, and conditions at which each of these forms are concurrency are effective and ineffective.
Gael Fraiteur argues that multithreaded programming needs to be addressed at the right level of abstraction, with design patterns like Actor, Immutable, Freezable, Thread Affine, Reader-Writer-Synchronized. Design patterns form a language and serve as a model against which code can be expressed. Compilers must support design patterns to allow code to be deterministically validated against the model, and of course to generate the low-level instructions that would be otherwise written manually.
Concurrency in production. Real life example - Dmytro Herasymuk | Ruby Medita...Ruby Meditation
Speech of Dmytro Herasymuk, WEB developer at Softermii, at Ruby Meditation #25 Kyiv 08.12.2018
Next conference - http://www.rubymeditation.com/
The modern world demands to be faster and faster. Engineers create more powerful CPUs every day, but our app depends on third party apps too often in the WEB world. So, even the fastest CPU can't cope with I/O delays. On the one hand multithreading could help in such cases, but on the other hand, it seems to be a hard decision of using concurrency in production.
Dmytro would like to share his experience in this field
Announcements and conference materials https://www.fb.me/RubyMeditation
News https://twitter.com/RubyMeditation
Photos https://www.instagram.com/RubyMeditation
The stream of Ruby conferences (not just ours) https://t.me/RubyMeditation
Ruby is a wonderful language for rapid development, it is easy to learn, we have wonderful frameworks, an active and dynamic community. But when it comes to concurrency Ruby is plagued with problems, controversies and urban legends. A lot of people would know about green threads in Ruby, GIL and its inherent limitations. But that it only one part of the big picture. Ruby offers much more than threads to helps us with concurrency.
This presentation explores other options of writing highly concurrent applications in Ruby and options available in it. We cover topics ranging from Actor like message passing concurrency in Ruby, dataflow concurrency of how we can coordinate across different threads, Event driven methods, coroutine based concurrency which never blocks ;) and finally Software Transactional Memory. We look at lots of code, some serious looking yet colorful performance graphs comparisons, and conditions at which each of these forms are concurrency are effective and ineffective.
A talk on our team's experience with Ratpack. Topics covered include:
What is Ratpack?
Why did we decide to use it?
A look at the code.
Mistakes you can make.
Issues we face.
Retrospective
Performance optimization techniques for Java codeAttila Balazs
The presentation covers the the basics of performance optimizations for real-world Java code. It starts with a theoretical overview of the concepts followed by several live demos
showing how performance bottlenecks can be diagnosed and eliminated. The demos include some non-trivial multi-threaded examples
inspired by real-world applications.
Many Cores with Java, Session Three: Threads - Why Can't You Just Play Nicely With Your Memory? moves on to start to think about concurrent code on two core. Some fundemental strategies are introduced briefly - non-blocking and locking.
Typically, Python software engineers don’t necessarily care about how the language handles memory. However, sometimes it’s very useful to understand what’s going on under the hood. In this talk, I’ll give you a brief overview of how Python manages memory and some useful tips and tricks that you may not already know.
Helidon Nima - Loom based microserfice framework.pptxDmitry Kornilov
For quite a long time we were forced to make a choice - performance vs. simplicity. Either use a complicated and performant reactive code, or use simple, yet limited blocking approach.Thanks to project Loom in JDK, the paradigm can shift once more even for applications that require high concurrency. I will introduce Helidon Nima - new microservices framework which is built on top of a server designed for Loom with fully synchronous routing that can block as needed, yet still provide high performance under heavy concurrent load. I'll also talk about challenges, benefits and impact on application development in such an environment.
Concurrent Programming with Ruby and Tuple Spacesluccastera
Ruby threads are limited due to the Global Interpreter Lock. Therefore, the best way to do parallel computing with Ruby is to use multiple processes but how do you get these processes to communicate?
This session will provide some strategies for handling multi-process communication in Ruby, with a focus on the use of TupleSpaces. A TupleSpace provides a repository of tuples that can be accessed concurrently to implement a Blackboard system. Ruby ships with a built-in implementation of a TupleSpace with the Rinda library.
During the session, Luc will demonstrate how to use Rinda and will highlight other libraries/projects that facilitate interprocess communication and parallel computing in Ruby.
Stored Procedure Superpowers: A Developer’s GuideVoltDB
Stored procedures often get a bad rap, but this webinar argues that many of the things people hate about stored procedures are more about the implementation, rather than the concept. Watch this webinar presented by John Hugg, Founding Engineer, VoltDB to understand how stored procedure “superpowers” can make your application faster, simpler and safer.
The ability of a system to respond gracefully to an unexpected hardware or software failure.
There are many levels of fault tolerance, the lowest being the ability to continue operation in the event of a power failure. Many fault-tolerant computer systems mirror all operations -- that is, every operation is performed on two or more duplicate systems, so if one fails the other can take over.
In most cases it could be achieved by redundancy in application design and set of patterns and approaches to software design.
With each of the past 3 Ruby releases, YJIT has delivered higher and higher performance. However, we are seeing diminishing returns, because as JIT-compiled code becomes faster, it makes up less and less of the total execution time, which is now becoming dominated by C function calls. As such, it may appear like there is a fundamental limit to Ruby’s performance.
In the first half of the 20th century, some early airplane designers thought that the speed of sound was a fundamental limit on the speed reachable by airplanes, thus coining the term “sound barrier”. This limit was eventually overcome, as it became understood that airflow behaves differently at supersonic speeds.
In order to break the Ruby performance barrier, it will be necessary to reduce the dependency on C extensions, and start writing more gems in pure Ruby code. In this talk, I want to look at this problem more in depth, and explore how YJIT can help enable writing pure-Ruby software that delivers high performance levels.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Ruby is a wonderful language for rapid development, it is easy to learn, we have wonderful frameworks, an active and dynamic community. But when it comes to concurrency Ruby is plagued with problems, controversies and urban legends. A lot of people would know about green threads in Ruby, GIL and its inherent limitations. But that it only one part of the big picture. Ruby offers much more than threads to helps us with concurrency.
This presentation explores other options of writing highly concurrent applications in Ruby and options available in it. We cover topics ranging from Actor like message passing concurrency in Ruby, dataflow concurrency of how we can coordinate across different threads, Event driven methods, coroutine based concurrency which never blocks ;) and finally Software Transactional Memory. We look at lots of code, some serious looking yet colorful performance graphs comparisons, and conditions at which each of these forms are concurrency are effective and ineffective.
A talk on our team's experience with Ratpack. Topics covered include:
What is Ratpack?
Why did we decide to use it?
A look at the code.
Mistakes you can make.
Issues we face.
Retrospective
Performance optimization techniques for Java codeAttila Balazs
The presentation covers the the basics of performance optimizations for real-world Java code. It starts with a theoretical overview of the concepts followed by several live demos
showing how performance bottlenecks can be diagnosed and eliminated. The demos include some non-trivial multi-threaded examples
inspired by real-world applications.
Many Cores with Java, Session Three: Threads - Why Can't You Just Play Nicely With Your Memory? moves on to start to think about concurrent code on two core. Some fundemental strategies are introduced briefly - non-blocking and locking.
Typically, Python software engineers don’t necessarily care about how the language handles memory. However, sometimes it’s very useful to understand what’s going on under the hood. In this talk, I’ll give you a brief overview of how Python manages memory and some useful tips and tricks that you may not already know.
Helidon Nima - Loom based microserfice framework.pptxDmitry Kornilov
For quite a long time we were forced to make a choice - performance vs. simplicity. Either use a complicated and performant reactive code, or use simple, yet limited blocking approach.Thanks to project Loom in JDK, the paradigm can shift once more even for applications that require high concurrency. I will introduce Helidon Nima - new microservices framework which is built on top of a server designed for Loom with fully synchronous routing that can block as needed, yet still provide high performance under heavy concurrent load. I'll also talk about challenges, benefits and impact on application development in such an environment.
Concurrent Programming with Ruby and Tuple Spacesluccastera
Ruby threads are limited due to the Global Interpreter Lock. Therefore, the best way to do parallel computing with Ruby is to use multiple processes but how do you get these processes to communicate?
This session will provide some strategies for handling multi-process communication in Ruby, with a focus on the use of TupleSpaces. A TupleSpace provides a repository of tuples that can be accessed concurrently to implement a Blackboard system. Ruby ships with a built-in implementation of a TupleSpace with the Rinda library.
During the session, Luc will demonstrate how to use Rinda and will highlight other libraries/projects that facilitate interprocess communication and parallel computing in Ruby.
Stored Procedure Superpowers: A Developer’s GuideVoltDB
Stored procedures often get a bad rap, but this webinar argues that many of the things people hate about stored procedures are more about the implementation, rather than the concept. Watch this webinar presented by John Hugg, Founding Engineer, VoltDB to understand how stored procedure “superpowers” can make your application faster, simpler and safer.
The ability of a system to respond gracefully to an unexpected hardware or software failure.
There are many levels of fault tolerance, the lowest being the ability to continue operation in the event of a power failure. Many fault-tolerant computer systems mirror all operations -- that is, every operation is performed on two or more duplicate systems, so if one fails the other can take over.
In most cases it could be achieved by redundancy in application design and set of patterns and approaches to software design.
With each of the past 3 Ruby releases, YJIT has delivered higher and higher performance. However, we are seeing diminishing returns, because as JIT-compiled code becomes faster, it makes up less and less of the total execution time, which is now becoming dominated by C function calls. As such, it may appear like there is a fundamental limit to Ruby’s performance.
In the first half of the 20th century, some early airplane designers thought that the speed of sound was a fundamental limit on the speed reachable by airplanes, thus coining the term “sound barrier”. This limit was eventually overcome, as it became understood that airflow behaves differently at supersonic speeds.
In order to break the Ruby performance barrier, it will be necessary to reduce the dependency on C extensions, and start writing more gems in pure Ruby code. In this talk, I want to look at this problem more in depth, and explore how YJIT can help enable writing pure-Ruby software that delivers high performance levels.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-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
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅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.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
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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#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
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#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
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#AIFusionBuddyInstallation,
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#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
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#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
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.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
9. Increment operation is not a single
instruction
● Retrieve the current value of @count.
● Increment the retrieved value by 1.
● Store the incremented value back in
@count.
10. Thread A Thread B
@count = 0Load @count = 0
Increment
Store
Load
Increment
Store
@count = 1
@count = 2
@count = 1
11. Thread A Thread B
@count = 0Load @count = 0
Increment
Store
Load
Increment
Store@count = 1
24. How does GIL work?
Ruby Thread 1 Ruby Thread 2
OS Thread 1 OS 2
Timer Thread
Wake up!Interrupt
25. GIL Details
● GIL is acquired at start of Thread block and
released once done
● To ensure fairness a timer thread sends an
interrupt to the Thread holding GIL when
other threads are waiting
● The Thread holding GIL may choose to
release it based on many parameters
Refer to this excellent blog post by Jesse Storimer - http://www.jstorimer.com/blogs/workingwithcode/8085491-
nobody-understands-the-gil
29. Ruby right now depends on
underlying Virtual Machines
● MRI is not much of an interpreter. It is a VM.
- No specification for Memory Model
● JRuby - JVM - JSR 133
● Rubinius - LLVM for JIT -
