This is the Linux app named X-DeepLearning whose latest release can be downloaded as XDL1.2ReleaseNotes.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named X-DeepLearning with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
X-DeepLearning
DESCRIPTION
X-DeepLearning (XDL for short) is a complete set of deep optimization solutions for high-dimensional sparse data scenarios (such as advertising/recommendation/search, etc.). XDL version 1.2 has been released recently. Performance optimization for large batch/low concurrency scenarios, 50-100% performance improvement in such scenarios. Storage and communication optimization, parameters are automatically allocated globally without manual intervention, and requests are merged to completely eliminate computing/storage/communication hotspots of ps. Complete streaming training features including feature admission, feature elimination, model incremental export, feature counting statistics, etc. Background: XDL1.0 focuses on throughput optimization and adopts the one request per thread processing model, which can significantly improve the limit throughput under ultra-high concurrency.
Features
- Performance optimization of large batch/single-sample massive feature scenarios
- Parameter assignment and communication optimization
- Unified storage and average distribution of parameters: ensure the average distribution of computing, communication, and memory on all servers
- Automatically analyze and merge undependent communication nodes in the calculation graph to reduce the number of communications and improve communication efficiency
- Simplify user usage costs, no longer need to provide the estimated value of the embedding parameter size, and no longer need to do regular rebalance
- In scenarios with massive features, performance and scalability are further improved
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/x-deeplearning.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
