Presentation given by Laminar Research at the FlightSimCon 2017 conference in Hartford, CT as they discussed the future features of X-Plane.
See the accompanying presentation here: https://www.youtube.com/watch?v=tDi0sJQb1N8
Best practices for optimizing Red Hat platforms for large scale datacenter de...Jeremy Eder
This presentation is from NVIDIA GTC DC on Oct 23, 2018:
https://youtu.be/z5gEUL6dJRI
Corresponding Press Release: https://www.redhat.com/en/about/press-releases/red-hat-nvidia-align-open-source-solutions-fuel-emerging-workloads
Blog: https://www.redhat.com/en/blog/red-hat-and-nvidia-positioning-red-hat-enterprise-linux-and-openshift-primary-platforms-artificial-intelligence-and-other-gpu-accelerated-workloads
Demo Video:
https://www.youtube.com/watch?v=9iVYjA_WJgU
Introducing Amazon EC2 P3 Instance - Featuring the Most Powerful GPU for Mach...Amazon Web Services
Amazon EC2 P3 instances offer up to eight of the latest NVIDIA Tesla V100 GPUs, with up to 13X the speed of previous generation GPU instances. In this session, learn from Airbnb how they use machine learning to make their services smarter and more engaging for their customers and how they are using P3 instances to dramatically lower training time of their machine learning models while optimize costs.
Presentation from DockerCon EU '17 about how Aurea achieved over 50% cost reduction using Docker and about two major technical obstacles we had when dockerizing legacy applications.
Planes, Trains, and Automobiles: A Data Scientist’s Guide to Modeling Engine ...April Song
Slides that were presented in Data Science Central's webinar on 3/28/2016.
The dataset mentioned in this webinar can be found at https://c3.nasa.gov/dashlink/resources/140/.
Containers explained as for cook and a mecanics Rachid Zarouali
Containers are everywhere, google/office365 mailboxes, web applications, healthcare booking, aeroplanes, and many more.
Docker containers are everywhere today, our google/office365 mailboxes, our web applications, our access for medical appointments, airplanes, ...
They are everywhere but not always easy to apprehend, and yet, they have much more similarities with our daily jobs than it seems.
During this webinar, I will present you these famous Docker containers, seen by a chef and a car mechanic and you will see that they have a lot in common.
Keynote (Dr. Lisa Su) - Developers: The Heart of AMD Innovation - by Dr. Lisa...AMD Developer Central
Keynote, Developers: The Heart of AMD Innovation, by Dr. Lisa Su, Senior VP and GM, Global Business Units, AMD, at the AMD Developer Summit (APU13), Nov. 11-13, 2013.
Best practices for optimizing Red Hat platforms for large scale datacenter de...Jeremy Eder
This presentation is from NVIDIA GTC DC on Oct 23, 2018:
https://youtu.be/z5gEUL6dJRI
Corresponding Press Release: https://www.redhat.com/en/about/press-releases/red-hat-nvidia-align-open-source-solutions-fuel-emerging-workloads
Blog: https://www.redhat.com/en/blog/red-hat-and-nvidia-positioning-red-hat-enterprise-linux-and-openshift-primary-platforms-artificial-intelligence-and-other-gpu-accelerated-workloads
Demo Video:
https://www.youtube.com/watch?v=9iVYjA_WJgU
Introducing Amazon EC2 P3 Instance - Featuring the Most Powerful GPU for Mach...Amazon Web Services
Amazon EC2 P3 instances offer up to eight of the latest NVIDIA Tesla V100 GPUs, with up to 13X the speed of previous generation GPU instances. In this session, learn from Airbnb how they use machine learning to make their services smarter and more engaging for their customers and how they are using P3 instances to dramatically lower training time of their machine learning models while optimize costs.
Presentation from DockerCon EU '17 about how Aurea achieved over 50% cost reduction using Docker and about two major technical obstacles we had when dockerizing legacy applications.
Planes, Trains, and Automobiles: A Data Scientist’s Guide to Modeling Engine ...April Song
Slides that were presented in Data Science Central's webinar on 3/28/2016.
The dataset mentioned in this webinar can be found at https://c3.nasa.gov/dashlink/resources/140/.
Containers explained as for cook and a mecanics Rachid Zarouali
Containers are everywhere, google/office365 mailboxes, web applications, healthcare booking, aeroplanes, and many more.
Docker containers are everywhere today, our google/office365 mailboxes, our web applications, our access for medical appointments, airplanes, ...
They are everywhere but not always easy to apprehend, and yet, they have much more similarities with our daily jobs than it seems.
During this webinar, I will present you these famous Docker containers, seen by a chef and a car mechanic and you will see that they have a lot in common.
Keynote (Dr. Lisa Su) - Developers: The Heart of AMD Innovation - by Dr. Lisa...AMD Developer Central
Keynote, Developers: The Heart of AMD Innovation, by Dr. Lisa Su, Senior VP and GM, Global Business Units, AMD, at the AMD Developer Summit (APU13), Nov. 11-13, 2013.
Webinar: ArangoDB 3.8 Preview - Analytics at Scale ArangoDB Database
The ArangoDB community and team are proud to preview the next version of ArangoDB, an open-source, highly scalable graph database with multi-model capabilities. Join our CTO, Jörg Schad, Ph.D. and Developer Relation Engineer Chris Woodward in this webinar to learn more about ArangoDB 3.8 and the roadmap for upcoming releases.
Comparative Performance Analysis of AWS EC2 Instance Types Commonly Used for ...DataWorks Summit
Many organizations today have already migrated Hadoop workloads to cloud infrastructure or they are actively planning to do such a migration. A common question in this scenario is "Which instance types should I use for my Hadoop cluster?" There are nuances to cloud infrastructure that require careful consideration when deciding which instances types to use. This session will show the results of performance comparison of Amazon Web Services (AWS) Elastic Compute Cloud (EC2) instance types commonly used in Hadoop clusters. More importantly, we will discuss the relative cost comparison of these instance types to demonstrate the which AWS instances offer the best price to performance ratio using standard benchmarks. Attendees of this session with leave with a better understanding of the performance of AWS EC2 instance types when used for Hadoop workloads and be able to make more informed decisions about which instance types makes the most sense for their needs.
Speakers
Michael Young, Senior Solutions Engineer, Hortonworks
Marcus Waineo, Principal Solutions Engineer, Hortonworks
Using CFD simulations to predict the flow around propeller and fan blades will help you to gain insights on how to improve your design and their respective efficiency. Not only can the flow around the propellers, but also the effects of rotating blades can be predicted using SimScale. In this webinar, you can learn how this is possible!
Check out the official webinar page here: https://www.simscale.com/webinars-workshops/propeller-fan-design-optimization/
Hadoop {Submarine} Project: Running Deep Learning Workloads on YARNDataWorks Summit
Deep learning is useful for enterprises tasks in the field of speech recognition, image classification, AI chatbots and machine translation, just to name a few.
In order to train deep learning/machine learning models, applications such as TensorFlow / MXNet / Caffe / XGBoost can be leveraged. And sometimes these applications will be used together to solve different problems.
To make distributed deep learning/machine learning applications easily launched, managed, monitored. Hadoop community has introduced Submarine project along with other improvements such as first-class GPU support, container-DNS support, scheduling improvements, etc. These improvements make distributed deep learning/machine learning applications run on YARN as simple as running it locally, which can let machine-learning engineers focus on algorithms instead of worrying about underlying infrastructure. Also, YARN can better manage a shared cluster which runs deep learning/machine learning and other services/ETL jobs with these improvements.
In this session, we will take a closer look at Submarine project as well as other improvements and show how to run these deep learning workloads on YARN with demos. Audiences can start trying running these workloads on YARN after this talk.
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Sunil Govindan, Staff Engineer
Hortonworks
Zhankun Tank, Staff Engineer
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Optimizing, Profiling, and Deploying TensorFlow AI Models with GPUs - San Fra...Chris Fregly
http://pipeline.ai
Using the latest advancements from TensorFlow including the Accelerated Linear Algebra (XLA) Framework, JIT/AOT Compiler, and Graph Transform Tool, I’ll demonstrate how to optimize, profile, and deploy TensorFlow Models - and the TensorFlow Runtime - in GPU-based production environment. This talk is 100% demo based on open source tools and completely reproducible through Docker on your own GPU cluster.
Bio
Chris Fregly is Founder and Research Engineer at PipelineAI, a Streaming Machine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High-Performance TensorFlow in Production."
Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco.
http://pipeline.ai
Getting Cloudy with Remote Graphics and GPU Compute Using G2 instances (CPN21...Amazon Web Services
Amazon EC2 now offers a new GPU instance capable of running graphics and GPU compute workloads. In this session, we take a deeper look at the remote graphics capabilities of this new GPU instance, the tooling required to get started, and a live demo of applications streamed from our West Coast regions. We also explore the benefits of hosting your 3D graphics applications in the AWS cloud, where you can harness the vast compute and storage resources.
02 ai inference acceleration with components all in open hardware: opencapi a...Yutaka Kawai
This was presented by Peng Fei GOU (IBM China) at OpenPOWER summit EU 2019. The original one is uploaded at:
https://static.sched.com/hosted_files/opeu19/68/NVDLA%20on%20OpenCAPI.pdf
Building Google's ML Engine from Scratch on AWS with GPUs, Kubernetes, Istio,...Chris Fregly
Applying my Netflix experience to a real-world problem in the ML and AI world, I will demonstrate a full-featured, open-source, end-to-end TensorFlow Model Training and Deployment System using the latest advancements from Kubernetes, Istio, and TensorFlow.
In addition to training and hyper-parameter tuning, our model deployment pipeline will include continuous canary deployments of our TensorFlow Models into a live, hybrid-cloud production environment.
This is the holy grail of data science - rapid and safe experiments of ML / AI models directly in production.
Following the Successful Netflix Culture that I lived and breathed (https://www.slideshare.net/reed2001/culture-1798664/2-Netflix_CultureFreedom_Responsibility2), I give Data Scientists the Freedom and Responsibility to extend their ML / AI pipelines and experiments safely into production.
Offline, batch training and validation is for the slow and weak. Online, real-time training and validation on live production data is for the fast and strong.
Learn to be fast and strong by attending this talk.
Bio:
Chris Fregly is Founder and Research Engineer at PipelineAI, a Streaming Machine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High Performance TensorFlow in Production."
Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco.
http://pipeline.ai
SimScale: Unparalleled CFD Speeds with Parallel ComputingSimScale
SimScale reduces the lead time of industrial aerodynamic simulations from weeks to hours, using the Lattice Boltzmann Method, provided by Numeric Systems, and high-performance cloud computing, provided by Amazon web services. Proof of concept and level of accuracy is demonstrated with the "DrivAer" geometry —a standard automotive validation case for both CFD and wind tunnel experiments. The results show that SimScale provides a solution to significantly reduce turnaround times for 10x less cost with fantastic accuracy.
Discussion of required support Infrastructure for Unmanned Aerial Vehicles (UAV's,) in context of expanded use by Commercial, Personal & Government markets. (Episode 3 of 3)
Slides from Android Builder's Summit 2014 in San Jose, CA
The 4.4 KitKat release includes the results of “Project Svelte”: a set of tweaks to the operating system to make it run more easily on devices with around 512 MiB RAM. This is likely to be especially important for people working with “Embedded Android”, that is, implementing Android on devices that are not smart phones or tablets.
It's Time to Debloat the Cloud with UnikraftScyllaDB
The cloud is undoubtedly a major success story, but while extremely convenient in terms of deployment and scalability, it's become increasingly clear that it is highly inefficient, with services deployed in the bloated, wasteful virtual machines (VMs). Worse, such VMs are kept on most if not all of the time, once again wasting resources, and driving up both cloud infrastructure bills and energy consumption.
We introduce Unikraft, a novel cloud operating system that allows for easily building cloud-ready images fully tailored to the needs of particular cloud applications. Unikraft images boot in a few milliseconds, suspend/resume in 10s of milliseconds, consume only a few MBs even when running mainstream applications (e.g., NGINX, SQLite, Redis, etc.) and can provide throughput higher than Linux. We will show Unikraft's ability to boot images just in time, as requests for services come in, and to go sleep thereafter, further saving resources. Unikraft is an open-source Linux Foundation project and can be found at www.unikraft.org.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
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Using CFD simulations to predict the flow around propeller and fan blades will help you to gain insights on how to improve your design and their respective efficiency. Not only can the flow around the propellers, but also the effects of rotating blades can be predicted using SimScale. In this webinar, you can learn how this is possible!
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Deep learning is useful for enterprises tasks in the field of speech recognition, image classification, AI chatbots and machine translation, just to name a few.
In order to train deep learning/machine learning models, applications such as TensorFlow / MXNet / Caffe / XGBoost can be leveraged. And sometimes these applications will be used together to solve different problems.
To make distributed deep learning/machine learning applications easily launched, managed, monitored. Hadoop community has introduced Submarine project along with other improvements such as first-class GPU support, container-DNS support, scheduling improvements, etc. These improvements make distributed deep learning/machine learning applications run on YARN as simple as running it locally, which can let machine-learning engineers focus on algorithms instead of worrying about underlying infrastructure. Also, YARN can better manage a shared cluster which runs deep learning/machine learning and other services/ETL jobs with these improvements.
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Sunil Govindan, Staff Engineer
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Zhankun Tank, Staff Engineer
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Optimizing, Profiling, and Deploying TensorFlow AI Models with GPUs - San Fra...Chris Fregly
http://pipeline.ai
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http://pipeline.ai
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Applying my Netflix experience to a real-world problem in the ML and AI world, I will demonstrate a full-featured, open-source, end-to-end TensorFlow Model Training and Deployment System using the latest advancements from Kubernetes, Istio, and TensorFlow.
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This is the holy grail of data science - rapid and safe experiments of ML / AI models directly in production.
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Offline, batch training and validation is for the slow and weak. Online, real-time training and validation on live production data is for the fast and strong.
Learn to be fast and strong by attending this talk.
Bio:
Chris Fregly is Founder and Research Engineer at PipelineAI, a Streaming Machine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High Performance TensorFlow in Production."
Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco.
http://pipeline.ai
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The Future of X-Plane 11 - Hartford FlightSimCon 2017
1.
2.
3.
4. X-PLANE 11
AIRCRAFT
▸ New airliners with incredible detail
▸ Major updates to the fleet
▸ Consistent high quality in all default aircraft
▸ High performance
7. YOU CAN’T TAKE AWAY THE POWER.
— Austin Meyer
X-PLANE 11 USER INTERFACE
8.
9.
10.
11. X-PLANE 11
PHYSICALLY BASED RENDERING
▸ Lighting follows the laws of physics
▸ Realistic reflections and metals
▸ Materials just look “right” under all lighting
conditions
▸ Optically correct fog
12.
13. X-PLANE 11
GLOBAL AIRPORTS
▸ Beautiful 3-d airports created by the X-Plane
community
▸ 4,447 3-d airports
▸ 3,092 registered gateway users
▸ 10,265 scenery packs uploaded
▸ 42 of the 50 busiest airports in the world
18. X-PLANE 11
PHYSICS AND SYSTEMS
▸ New PT-6 model based on flying 844X
▸ Refined recipe engine model based on notes
from 842X
▸ Propeller and rotor model from POH for OH-58
▸ Jet engine N1 and N2 thrust curves based on
real jet engines and F-4 POH
▸ Updated pressurization modeling based on
real flight experience
19. X-PLANE 11 PHYSICS
VECTOR-BASED FLIGHT DYNAMICS
▸ Vector-based physics calculations - correct for
any direction of flight
▸ Correct results even when air flow is backward
or coming from the side
▸ Aircraft taxiing in a strong tailwind or tail
slide
▸ Helicopters hovering
20. X-PLANE 11 SYSTEMS
ELECTRICAL SYSTEM
▸ Generators and alternators follow curves from
real alternator and generator charts
▸ Realistic amps/volts by RPM
▸ Battery charges (or doesn’t) based on ground
operation like real world
73. VIRTUAL REALITY
VR FEATURES
▸ Easy to setup/use (ONE checkbox). No joystick/yoke/pedals required!
▸ 180 / 360 degree, 6 degree of freedom movement to look ANYWHERE.
▸ Teleport (with hotspots)
▸ Full 3D Cockpit Manipulation (with haptic feedback)
▸ xPad Companion Tablet (Maps, Shortcuts, Planning? Logbook? Plates?!!)
74. VIRTUAL REALITY
VR & 3RD PARTY AIRCRAFT
▸ Minor OBJ modifications to add “magnets” if desired.
▸ Simple txt file to override default manipulator behavior.
▸ Requires use of standard X-Plane manipulators (no custom manipulators!)
▸ Guidance for Aircraft Authors is coming!
75. VIRTUAL REALITY
“IT’S TOO EXPENSIVE! WHO CARES?! GET BACK TO FEATURE <XYZ>” ~USERS
▸ Mobile, Desktop and VR are strongly intertwined!
▸ V11 GUI came from Mobile Development
▸ 3D Immersive sound
▸ PERFORMANCE! Pipeline cleanup & modernization are how we’re getting
there.
▸ Reflections, Physically Based Rendering / Lighting
▸ FULLY functional 3D aircraft
76. “YOU GET A BENEFIT!
HE GETS A BENEFIT!
SHE GETS A BENEFIT!
EVERYBODY GETS A
BENEFIT!!!!”
Oprah Winfrey-ish…
83. X-PLANE AVIONICS
X-PLANE 1000
▸ Based on G1000®
as found in Cessna 400 N428X
▸ Customizable for different aircraft types via Plane Maker
▸ Drop-in for 2d panels and 3d cockpits
▸ Standalone windows for home cockpit builders
▸ Fully vector, crisp on resize, blazingly fast (much smoother than real one)
84.
85. X-PLANE AVIONICS
X1000 FEATURES
▸ extensive failure simulation (AHRS, fluxgate, air data computer, GIA,
transponder, etc. failures)
▸ WAAS and non-WAAS GPS option
▸ GFC-700 autopilot integration
▸ KN63 DME and KR87 ADF remote radio integration
▸ GDL-69 “NEXRAD” and wind weather displays
89. X1000
▸ Plane Maker engine/prop configuration:
▸ Single and Twin
▸ Turboprop and Reciprocating engines
▸ Turbocharged and normally aspirated engines
▸ Constant speed and fixed pitch propellers
▸ Limitations and max values as set in Plane Maker for
▸ engine parameters
▸ speed tape
▸ electrical systems (ammeter calibration, bus voltage)
▸ fuel capacity
CUSTOMIZATION
113. NEXT-GEN DRIVERS
NEXT GEN DRIVERS HAVE THREE SUPER POWERS
▸ Low CPU Use - Faster FPS!
▸ Multi-Core Friendly - No More Stuck at 25%
114. NEXT-GEN DRIVERS
NEXT GEN DRIVERS HAVE THREE SUPER POWERS
▸ Low CPU Use - Faster FPS!
▸ Multi-Core Friendly - No More Stuck at 25%
▸ No Surprise Pauses! No Stutters From The Driver
115. PERFORMANCE ROAD-MAP
CURRENT DRIVERS
▸ X-Plane talks to the driver.
▸ The driver tells the GPU what to do.
▸ The driver manages RAM, book keeping.
▸ The driver uses up CPU time.
▸ CPU time limits our framerate.
116. PERFORMANCE ROAD-MAP
NEXT-GEN DRIVERS
▸ X-Plane does most of the book-keeping.
▸ X-Plane talks to the driver.
▸ The driver is a thin layer on top of the GPU.
▸ CPU used mostly by X-Plane - we can make it
fast!
118. NEXT GEN DRIVERS
GOOD NEWS AND BAD NEWS
▸ Bad News: New Drivers Require Big Changes to the App.
▸ Could take another year to make those changes!
119. NEXT GEN DRIVERS
GOOD NEWS AND BAD NEWS
▸ Bad News: New Drivers Require Big Changes to the App.
▸ Could take another year to make those changes!
▸ Good News: every intermediate step toward Vulkan/Metal makes X-Plane
Better!
▸ Scenery Shadows No Longer Out of Reach!
▸ Faster FPS Now.
124. NEXT-GEN DRIVERS
ADD-ON COMPATIBILITY
▸ OpenGL supported for life of X-Plane 11 - 100% compatible.
▸ Very similar to the transition to 64-bit!
▸ Scenery, models and aircraft Just Work™.
125. NEXT-GEN DRIVERS
ADD-ON COMPATIBILITY
▸ OpenGL supported for life of X-Plane 11 - 100% compatible.
▸ Very similar to the transition to 64-bit!
▸ Scenery, models and aircraft Just Work™.
▸ Goal: many add-ons with custom plugin UI or panels work with Vulkan/Metal.
126. NEXT-GEN DRIVERS
ADD-ON COMPATIBILITY
▸ OpenGL supported for life of X-Plane 11 - 100% compatible.
▸ Very similar to the transition to 64-bit!
▸ Scenery, models and aircraft Just Work™.
▸ Goal: many add-ons with custom plugin UI or panels work with Vulkan/Metal.
▸ Add-ons that draw in 3-d will need modification to work with Vulkan/Metal.
127. NEXT-GEN DRIVERS
ADD-ON COMPATIBILITY
▸ OpenGL supported for life of X-Plane 11 - 100% compatible.
▸ Very similar to the transition to 64-bit!
▸ Scenery, models and aircraft Just Work™.
▸ Goal: many add-ons with custom plugin UI or panels work with Vulkan/Metal.
▸ Add-ons that draw in 3-d will need modification to work with Vulkan/Metal.
▸ Add-on developers should adopt new tech Real Soon™ for maximum
compatibility.
129. X-PLANE 11 SDKS
WORLDEDITOR
▸ Use by thousands of users to create
airports for X-Plane.
▸ Capable of building advanced custom
scenery too!
▸ Version 1.6 released Thursday.
▸ Fully supports X-Plane 11, including
ground traffic operations.
130. X-PLANE 11 SDKS
FMOD SOUND
▸ Immersive, interactive, dynamic high
quality sound engine.
▸ Powerful, easy to use professional-class
editing tools for sound designers.
▸ Available Now.
131. X-PLANE 11 SDKS
FMOD SOUND
▸ Immersive, interactive, dynamic high
quality sound engine.
▸ Powerful, easy to use professional-class
editing tools for sound designers.
▸ Available Now.
132. X-PLANE 11 SDKS
BLENDER/3DS
▸ Blender Exporter 3.4 in Testing.
▸ Better Model Optimization for Higher
FPS.
▸ New 3DS Exporter Version Nearly
Complete.
▸ Open Source License for both!
134. X-PLANE 11 SDKS
NEW PLUGIN API
▸ Next Revision of Plugin API
▸ Support for New X-Plane 11 Features
▸ Pop-Out Windows
▸ Custom Maps
▸ 3-d Drawing Compatible with Metal/Vulkan
▸ Coming This Summer