Parallel computing can be applied at different levels of granularity to optimize the performance and scalability of GNNs. Node-level parallelism involves splitting the graph nodes into batches and ...

Mesh TensorFlow (v0.0) is implemented as a Python library which can generate part of a TensorFlow graph. The user first builds a mtf.Graph (the analog of a TensorFlow graph) made up of mtf.Tensors and ...

To overcome that, GPU parallel computing method for PDE-based image inpainting are proposed. These days, some handy platform or frameworks to utilize GPU are already exist like CUDA, Theano and ...

Today, we’re excited to release TensorFlow 0.8 with distributed computing support, including everything you need to train distributed models on your own infrastructure.

Google’s last release TensorFlow 1.5 was made public with a bunch of cool features with improvement in speed and ease of execution. Here are the major changes in this patch release: What Is CUDA?

Graphcore’s Intelligence Processing Unit (IPU) utilizes the expression of an algorithm as a directed graph, and the company’s Poplar software stack translates AI models and other algorithms ...

Image inpainting refers to image restoration process that reconstruct damaged image to obtain it lost information based on existing information. PDE-based approach is commonly used for image ...