Proton to Help to Launch Windows Games on Linux

Valve gave Linux users the opportunity to play more games
23 August 2018   1587

Valve announced the beta version of the Steam Play service with a modified version of Wine, called Proton. It allows you to run Windows games on Linux.

The goal of the project is to provide Linux users with access to more games. Also, the company wants to remove developers from the task of porting games to other platforms, so that they spend more time improving the game process.

Proton features:

  • Launch games directly through the Steam client for Linux with Steamworks and OpenVR support;
  • Support for games using DirectX 11 and 12 without sacrificing performance thanks to the Vulkan API;
  • Support for full-screen mode by stretching the image;
  • Support of all controllers supported by the Windows version of Steam;
  • Increase the performance of multi-threaded games through the collection of patches esync.

The company announced full support for 26 games, including Fallout Shelter and PAYDAY: The Heist. To run games, you must become a beta-testing participant and install the latest versions of NVIDIA 396.51 or Mesa 18.2.0 drivers for AMD and Intel video cards.

Enthusiasts can try to start any game by turning on the Enable Steam Play for all titles option in the settings. Successful and unsuccessful attempts to run are recorded in an online document. Proton's source code is published on GitHub, so users can create their own builds with bug fixes. Proton is written on C++.

Together with attempts to expand the library of games on other platforms, Valve gets rid of the support of old systems. In June 2018, the company announced the end of support for Windows XP and Vista.

TensorFlow 2.0 to be Released

New major release of the machine learning platform brought a lot of updates and changes, some stuff even got cut
01 October 2019   172

A significant release of the TensorFlow 2.0 machine learning platform is presented, which provides ready-made implementations of various deep machine learning algorithms, a simple programming interface for building models in Python, and a low-level interface for C ++ that allows you to control the construction and execution of computational graphs. The system code is written in C ++ and Python and is distributed under the Apache license.

The platform was originally developed by the Google Brain team and is used in Google services for speech recognition, facial recognition in photographs, determining the similarity of images, filtering spam in Gmail, selecting news in Google News and organizing the translation taking into account the meaning. Distributed machine learning systems can be created on standard equipment, thanks to the built-in support in TensorFlow for spreading computing to multiple CPUs or GPUs.

TensorFlow provides a library of off-the-shelf numerical computation algorithms implemented through data flow graphs. The nodes in such graphs implement mathematical operations or entry / exit points, while the edges of the graph represent multidimensional data arrays (tensors) that flow between the nodes. The nodes can be assigned to computing devices and run asynchronously, simultaneously processing all the suitable tensors at the same time, which allows you to organize the simultaneous operation of nodes in the neural network by analogy with the simultaneous activation of neurons in the brain.

Get more info about the update at official website.