Improving iteration times through the reloading of code and data

•

0 likes•340 views

Boyan Spassov

Presentation for sofia gamedev meetup 2.

Technology

Improving Iteration Times Through The Reloading of
Code and Data
Boyan Spassov

Overview
Short talk on the virtues of reloading, hot-swapping, exploratory
programming, live editing and not waiting for the compiler

https://xkcd.com/303/
How not to
improve
iteration times

How context
switching aﬀects
productivity

Topics
Reloading code
Reloading data
In-engine live editing
APIs, Component systems and other ways to improve iteration times

Who am I
Game programmer at Gameloft for 2.5 years
Games I have worked on: World at Arms

Why reload code and data
More time to try stuﬀ
More time to explore
Inspirational (and useful) tools:
REPLs: Lisp, Python, Lua
IPython notebook: code, documentation, output and history all in the
same place
http://ipython.org/notebook.html
http://jupyter.org/
Shadertoy
https://www.shadertoy.com/
Online compilers/playgrounds/assemblers
https://gcc.godbolt.org/ - online compiler that outputs pretty assembly
https://jsﬁddle.net/

Reloading Code
Use Unreal, Unity, etc.
Reloading C/C++
Reloading Scripting languages

Reloading C/C++
Casey Muratori’s Handmade Hero
https://www.youtube.com/watch?v=WMSBRk5WG58
Especially the video Looped Live Code Editing
https://www.youtube.com/watch?v=xrUSrVvB21c
Molecular Matters blog
http://blog.molecular-matters.com/2014/05/10/using-runtime-
compiled-c-code-as-a-scripting-language-under-the-hood/
RuntimeCompiledC++ http://runtimecompiledcplusplus.blogspot.bg/
Bitsquid’s Cutting the Pipe talk from GDC 2012
https://github.com/niklasfrykholm/blog/tree/master/presentations

Reloading Scripting languages
E.g.: Lua
Generally easier
But can get complicated depending on your data and function bindings
(please don’t use luabind)

Reloading Server code
E.g. Python (beware)
Languages designed for hot-swapping (Erlang, maybe Common Lisp,
maybe others?)
Serialize, Shutdown, Restart
Fixing bugs in production

Reloading Data
Use Unreal, Unity, etc.
Custom solutions depend on the data: materials, models, textures,
game logic, settings, ui
During development or on a live game
DLC
Game settings (especially how to resolve conﬂicting changes)
Fixing bugs which were caught too late
Insomniac games patching Ratchet and Clank: Up Your Arsenal via a
buﬀer overrun in the EULA
http://gamasutra.com/view/feature/194772/dirty_game_develop-
ment_tricks.php

Next level: In-engine live editing
UI
Levels
Object settings / logic
Live prototyping
Collaborative editing
What happens when the engine/game is broken/won’t start?
Version control

Other stuﬀ which can help improve iteration times
Good and versatile APIs
Another talk by Casey Muratori: Designing and Evaluating Reusable
Components http://mollyrocket.com/casey/stream_0028.html
Entity Component systems
Shorter compilation times
Determinism, recording & playback
Awesome but hard and not always possible

Similar to Improving iteration times through the reloading of code and data

TestUpload

ZarksaDS

RResume

Ron Cadima

Game engines have long been in the forefront of taking advantage of the ever increasing parallel compute power of both CPUs and GPUs. This talk is about how the parallel compute is utilized in practice on multiple platforms today in the Frostbite game engine and how we think the parallel programming models, hardware and software in the industry should look like in the next 5 years to help us make the best games possible.

Parallel Futures of a Game Engine (v2.0)

Johan Andersson

Chapter 1 computer abstractions and technology

BATMUNHMUNHZAYA

Less code More fun

Amos Laber

Some wonderful Linux softwares for daily use

arun.arwachin

Synapseindia dot net development about programming

Synapseindiappsdevelopment

Metaflow (Ville Tuulos) Data scientists at Netflix are expected to develop and operate large machine learning workflows autonomously. However, we do not expect that all our scientists are deeply experienced with distributed systems and data engineering. Metaflow was created to make it delightfully easy to build and operate ML workflows in the cloud using idiomatic Python and off-the-shelf ML libraries, covering the whole lifecycle of an ML project from prototype to production. Polynote (Jeremy Smith) Polynote is a new notebook tool we created from scratch to address some of the pain points we've run into while using Scala in machine-learning notebooks at Netflix. It provides essential code editing features other tools lack like interactive auto-completes, support for mixing multiple languages and sharing data between them within a single notebook, and encourages reproducible notebooks with its immutable data model. Papermill (Matthew Seal) Nteract is an open source organization under which there are several libraries and applications that Netflix and many other companies and individuals contribute to. One of these libraries is Papermill, a library used to programmatically parameterize and execute Jupyter Notebooks. Papermill provides a CLI and Python interface that we'll explore during the session to see how it can be used and what value it adds. Using this pattern we'll also briefly talk about how we've integrated papermill at Netflix and how it interfaces with other Jupyter and nteract services.

Season 7 Episode 1 - Tools for Data Scientists

aspyker

X page developer

Jakob Majkilde

Phase 1 Software Progress Report Card Czar Android App CMSC 495 Group 2 Final Project Kenneth Mikkalson Alton Hinton Shawn Henson Sarah Holley Tara Lawson Richard Wysong Table of Contents 1.0 Schedule and Milestones 3 1.1 Milestone Progress 3 1.2 References 3 2.0 Lessons Learned 4 2.1 Barriers and Resolution 4 2.1.1 Development Environment 4 2.1.2 Developer Education 4 2.1.3 Android Communication 4 2.1.4 Apache HttpComponents™ 5 2.1.5 Intent Crashes 5 2.1.6 Configuration Management System 5 2.1.7 Threading 5 2.2 Project Reevaluation 6 3.0 Phase 1 Functionality 7 3.1 Functionality Description 7 3.1.1 Overall Application Description (end goal for the project) 7 3.1.2 Phase 1 Functionality 7 3.2 Application screenshots of sample runs 8 3.2.1 Non-dealer test run 8 3.2.2 Dealer test run 13 3.3 Source Code 19 3.3.1 Source Code Overview 19 3.3.2 Getting Started – User to Gameplay 20 3.3.2 Getting Started – Host to Gameplay 23 3.3.3 Gameplay – GameplayActivity onCreate 24 3.3.4 Gameplay – Turn 25 3.4 Build Process 27 1.0 Schedule and Milestones 1.1 Milestone Progress All previous milestones related to documentation and planning have been accomplished on time or ahead of schedule. Weeks 5-7 will include three phases of source code development. Fully functioning software is expected at the end of Phase 2, reserving phase 3 source for bug fixes. In parallel with the development effort, a portion of the team has been updating documentation based on previously provided comments by the professor and peer group review. Those documents include the Project Plan and Test Document. 1.2 References · Project Plan, Card Czar Android Application · Test Plan, Card Czar Android Application · Software Design Document, Card Czar Android Application 2.0 Lessons Learned Group two has worked through several significant roadblocks in the development of the Card Czar application mainly stemming from the sum total of zero experience with Android programming.2.1 Barriers and Resolution 2.1.1 Development Environment Android Studio was chosen as the development environment because of integrated smartphone emulator support. Considerable time was spent on installing Android Studio because: · Target hardware did not have sufficient memory (the recommended 2GB was not sufficient) · Target hardware did not have virtualization capability for the emulator (not even mentioned in the installation requirement) With mediocre hardware, several hours were spent on installation, only to realize that the hardware was insufficient. Multiple installs on slower hardware took hours with a slow Internet connection. Additionally, low memory availability resulted in issues getting the Intel® Hardware Accelerated Execution Manager to provide sufficient memory for the emulator. This slowed setup of the development environment in some cases. 2.1.2 Developer Education It was assumed that prior Java programming skills would make for a quick transition to Android development. As it turned .

Phase 1 Software Progress ReportCard Czar Android AppCMS.docx

randymartin91030

Lua in Games

we20

Lua in games

Son Aris

Zoe Slattery's slides from PHPNW08: The ability to store large quantities of local data means that many applications require some form of text search and retrieval facility. From the point of view of the application developer there are a number of choices to make, the first is whether to use a complete packaged solution or whether to use one of the available information libraries to build a custom information retrieval (IR) solution. In this talk I’ll look at the options for PHP programmers who choose to embed IR facilities within their applications. For Java programmers there is clearly a good range of options for text retrieval libraries, but options for PHP programmers are more limited. At first sight for a PHP programmer wishing to embed indexing and search facilities in their application, the choice seems obvious - the PHP implementation of Lucene (Zend Search Lucene). There is no requirement to support another language, the code is PHP therefore easy for PHP programmers to work with and the license is commercially friendly. However, whilst ease of integration and support are key factors in choice of technology, performance can also be important; the performance of the PHP implementation of Lucene is poor compared to the Java implementation. In this talk I’ll explain the differences in performance between PHP implementation of Lucene and the Java implementation and examine the other options available to PHP programmers for whom performance is a critical factor.

Search Lucene

Jeremy Coates

DEF CON 24 - Allan Cecil and DwangoAC - tasbot the perfectionist

Felipe Prado

Introduction to html5 game programming with impact js

Luca Galli

SynapseIndia dotnet debugging development process

Synapseindiappsdevelopment

CISY 105 Chapter 1

Jackie Marshall

Making Hardware Accelerator Easier to Use

Kazuaki Ishizaki

Introduction to Google Colaboratory.pdf

Yomna Mahmoud Ibrahim Hassan

OGDC2012 Lua In Game_Mr. Van, Nguyen Ngoc

Buff Nguyen

Similar to Improving iteration times through the reloading of code and data (20)

TestUpload

RResume

Parallel Futures of a Game Engine (v2.0)

Chapter 1 computer abstractions and technology

Less code More fun

Some wonderful Linux softwares for daily use

Synapseindia dot net development about programming

Season 7 Episode 1 - Tools for Data Scientists

X page developer

Phase 1 Software Progress ReportCard Czar Android AppCMS.docx

Lua in Games

Lua in games

Search Lucene

DEF CON 24 - Allan Cecil and DwangoAC - tasbot the perfectionist

Introduction to html5 game programming with impact js

SynapseIndia dotnet debugging development process

CISY 105 Chapter 1

Making Hardware Accelerator Easier to Use

Introduction to Google Colaboratory.pdf

OGDC2012 Lua In Game_Mr. Van, Nguyen Ngoc

Recently uploaded

CNv6 Instructor Chapter 6 Quality of Service

giselly40

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Earley Information Science

The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Igalia

Presentation on how to chat with PDF using ChatGPT code interpreter

naman860154

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Explore 'The Codex of Business: Writing Software for Real-World Solutions,' a compelling SlideShare presentation that delves into digital transformation in healthcare. Discover through a detailed case study how Agile methodologies empower healthcare providers to develop, iterate, and refine digital solutions that address real-world challenges. Learn how strategic planning, user feedback, and continuous improvement drive success in deploying technologies that enhance patient care and operational efficiency. Ideal for healthcare professionals, IT specialists, and digital transformation advocates seeking actionable insights and practical examples of technology making a real difference.

The Codex of Business Writing Software for Real-World Solutions 2.pptx

Malak Abu Hammad

Choosing the right accounts payable services provider is a strategic decision that can significantly impact your business's financial performance and operational efficiency. By considering factors such as expertise, range of services, technology infrastructure, scalability, cost, and reputation, businesses can make informed decisions and select a provider that aligns with their unique needs and objectives. Partnering with the right provider can streamline accounts payable processes, drive cost savings, and position your business for long-term success. https://katprotech.com/accounts-payable-and-purchase-order-automation/

Factors to Consider When Choosing Accounts Payable Services Providers.pptx

Katpro Technologies

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

Igalia

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

Advantages of Hiring UIUX Design Service Providers for Your Business

Pixlogix Infotech

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

wesley chun

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Civil Lines Women Seeking Men

Delhi Call girls

[2024]Digital Global Overview Report 2024 Meltwater.pdf

hans926745

Recently uploaded (20)

CNv6 Instructor Chapter 6 Quality of Service

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Presentation on how to chat with PDF using ChatGPT code interpreter

Driving Behavioral Change for Information Management through Data-Driven Gree...

Boost PC performance: How more available memory can improve productivity

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

The Codex of Business Writing Software for Real-World Solutions 2.pptx

Factors to Consider When Choosing Accounts Payable Services Providers.pptx

Boost Fertility New Invention Ups Success Rates.pdf

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

A Year of the Servo Reboot: Where Are We Now?

Axa Assurance Maroc - Insurer Innovation Award 2024

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Advantages of Hiring UIUX Design Service Providers for Your Business

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Powerful Google developer tools for immediate impact! (2023-24 C)

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

08448380779 Call Girls In Civil Lines Women Seeking Men

[2024]Digital Global Overview Report 2024 Meltwater.pdf

Improving iteration times through the reloading of code and data

1. Improving Iteration Times Through The Reloading of Code and Data Boyan Spassov

2. Overview Short talk on the virtues of reloading, hot-swapping, exploratory programming, live editing and not waiting for the compiler

3. https://xkcd.com/303/ How not to improve iteration times

4. How context switching aﬀects productivity

5. Topics Reloading code Reloading data In-engine live editing APIs, Component systems and other ways to improve iteration times

6. Who am I Game programmer at Gameloft for 2.5 years Games I have worked on: World at Arms

7. Why reload code and data

8. Why reload code and data More time to try stuﬀ More time to explore Inspirational (and useful) tools: REPLs: Lisp, Python, Lua IPython notebook: code, documentation, output and history all in the same place http://ipython.org/notebook.html http://jupyter.org/ Shadertoy https://www.shadertoy.com/ Online compilers/playgrounds/assemblers https://gcc.godbolt.org/ - online compiler that outputs pretty assembly https://jsﬁddle.net/

9. How to reload code and data

10. Reloading Code

11. Reloading Code Use Unreal, Unity, etc. Reloading C/C++ Reloading Scripting languages

12. Reloading C/C++ Casey Muratori’s Handmade Hero https://www.youtube.com/watch?v=WMSBRk5WG58 Especially the video Looped Live Code Editing https://www.youtube.com/watch?v=xrUSrVvB21c Molecular Matters blog http://blog.molecular-matters.com/2014/05/10/using-runtime- compiled-c-code-as-a-scripting-language-under-the-hood/ RuntimeCompiledC++ http://runtimecompiledcplusplus.blogspot.bg/ Bitsquid’s Cutting the Pipe talk from GDC 2012 https://github.com/niklasfrykholm/blog/tree/master/presentations

13. Reloading Scripting languages E.g.: Lua Generally easier But can get complicated depending on your data and function bindings (please don’t use luabind)

14. Reloading Server code E.g. Python (beware) Languages designed for hot-swapping (Erlang, maybe Common Lisp, maybe others?) Serialize, Shutdown, Restart Fixing bugs in production

15. Reloading Data

16. Reloading Data Use Unreal, Unity, etc. Custom solutions depend on the data: materials, models, textures, game logic, settings, ui During development or on a live game DLC Game settings (especially how to resolve conﬂicting changes) Fixing bugs which were caught too late Insomniac games patching Ratchet and Clank: Up Your Arsenal via a buﬀer overrun in the EULA http://gamasutra.com/view/feature/194772/dirty_game_develop- ment_tricks.php

17. Next level

18. Next level: In-engine live editing UI Levels Object settings / logic Live prototyping Collaborative editing What happens when the engine/game is broken/won’t start? Version control

19. Other stuﬀ which can help improve iteration times Good and versatile APIs Another talk by Casey Muratori: Designing and Evaluating Reusable Components http://mollyrocket.com/casey/stream_0028.html Entity Component systems Shorter compilation times Determinism, recording & playback Awesome but hard and not always possible

Improving iteration times through the reloading of code and data

Recommended

Recommended

More Related Content

Similar to Improving iteration times through the reloading of code and data

Similar to Improving iteration times through the reloading of code and data (20)

Recently uploaded

Recently uploaded (20)

Improving iteration times through the reloading of code and data