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Saved by uncleflo on January 16th, 2022.
The aim of the project is to create an easy to use, lightweight, cross-browser, general purpose 3D library. The current builds only include a WebGL renderer but WebGPU (experimental), SVG and CSS3D renderers are also available in the examples. The recommended format for importing and exporting assets is glTF (GL Transmission Format). Because glTF is focused on runtime asset delivery, it is compact to transmit and fast to load. three.js provides loaders for many other popular formats like FBX, Collada or OBJ as well. Nevertheless, you should always try to establish a glTF based workflow in your projects first. For more information, see loading 3D models.
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Saved by uncleflo on October 8th, 2018.
MPC-HC is an extremely light-weight, open source media player for Windows®. It supports all common video and audio file formats available for playback. We are 100% spyware free, there are no advertisements or toolbars. Media Player Classic - Home Cinema is an extremely light-weight media player for Windows. It is written in C++. Supports GPU assisted decoding. Translated in 42 languages.
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Saved by uncleflo on October 17th, 2016.
There needs to be some kind of Moore’s law analog to capture the tremendous advances in the speed of password cracking operations. Just within the last five years, there’s been an explosion in innovation in this ancient art, as researchers have realized that they can harness specialized silicon and cloud based computing pools to quickly and efficiently break passwords.
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Saved by uncleflo on June 10th, 2015.
Working in Flash and Actionscript, you will be familiar with the concepts of using the standard display list for drawing and animating content. Away3D versions earlier than 4.0 all relied on this standard display list to render objects to your scene, however since Flash Player 11.0 and Away3D 4.x you can now take advantage of GPU hardware accelerated graphics for rendering performance as commonly seen in games, allowing you to create complex and immersive experiences for the web and using Adobe AIR, on mobile devices as well.
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Saved by uncleflo on May 10th, 2013.
During last weeks difficulty has rapidly risen making solo mining practically impossible. Only big miners with dozens of GPU cards have a chance of generating block in few days. Average miner with 2 graphic cards working 24/7 must wait about 90 days for a block and 50 BTC reward. Only reasonable alternative is to work together with other miners. We have created Coinotron.com to support that joint effort. We invite you to join Coinotron. Rules are simple: Proportional payouts. For each BTC block generated in our pool we get 50 BTC. Next we split these coins between miners proportionally to amount of work delivered. Coinotron advantages: security is our priority, users passwords are hashed and salted, we are startup pool, so odds of DDOS attack are at this moment slight, anti-cheating score system punishing pool-hoppers, long poll support ( mining efficiency raises about 2% ), automatic payouts
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Saved by uncleflo on May 8th, 2013.
This post is aimed mostly at people who are already familiar with Bitcoin (Wikipedia page), and would like to get started using their GPU(s) to mine for bitcoins in a Windows environment. Just some quick terminology: miner = program which is external to bitcoin-qt.exe that uses your graphics card to perform calculations; your GPU is much more efficient at the type of calculations bitcoin does than your CPU
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Saved by uncleflo on August 23rd, 2012.
The OpenCV GPU module is a set of classes and functions to utilize GPU computational capabilities. It is implemented using NVidia CUDA Runtime API , so only that vendor GPUs are supported. It includes utility functions, low level vision primitives as well as high level algorithms. I.e. the module is being developed as a powerful infrastructure for fast vision algorithms building on GPU with some high level state of the art functionality.
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Saved by uncleflo on August 22nd, 2012.
The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. You’ll also find programming guides, user manuals, API reference, and other documentation to help you get started quickly accelerating your application with GPUs.
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