|
You are here |
www.realworldtech.com | ||
| | | | |
mikemarcin.com
|
|
| | | | | our choice of DirectX 12 in our previous entry. In order to more fully understand how we're going to proceed to add graphics support to our engine we need to understand a bit of the history and evolution of graphics APIs. A Brief History of Graphics APIs Graphics APIs evolved through the decades. They start in the early 1990s with Iris GL followed by OpenGL. These are fixed-function immediate mode APIs. | |
| | | | |
www.karlrupp.net
|
|
| | | | | [AI summary] The blog post discusses the comparison of FLOPs per clock cycle between CPUs, GPUs, and Xeon Phis, highlighting the increasing similarity in their computational architectures and the importance of parallelization and vectorization for performance. | |
| | | | |
www.reedbeta.com
|
|
| | | | | Pixels and polygons and shaders, oh my! | |
| | | | |
lambdalabs.com
|
|
| | | Titan RTX vs. 2080 Ti vs. 1080 Ti vs. Titan Xp vs. Titan V vs. Tesla V100. For this post, Lambda engineers benchmarked the Titan RTX's deep learning performance vs. other common GPUs. We measured the Titan RTX's single-GPU training performance on ResNet50, ResNet152, Inception3, Inception4, VGG16, AlexNet, and SSD. | ||