To solve these problems, this paper proposes an automatic pipeline parallel acceleration framework for neural network models on heterogeneous computing platforms. Firstly, the framework divides neural ...

Parallel and distributed computing ... as you can leverage the independent and scalable operation of a network of machines. Appropriate computer models follow the nature of the problem itself.

we propose a key message model for parallel computing on network of workstations (NOWs). In the key message model, all messages generated in a key message path are prioritized. A key message path in a ...

Modern computing has many foundational building blocks ... multiple portions of the task simultaneously — parallelizing — such as a neural network model.” In parallel processing, a software program is ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general ... In most cases they use the cuDNN library for the deep neural network computations.

Artificial neural networks are parallel computational models, comprising densely interconnected ... they are implemented as programs that run on a PC or computer workstation.

Parallel computing can also enable more accurate and realistic simulations by allowing higher resolution, finer granularity, and more complex models. Parallel computing can also enable more ...

The Parallel & Distributed Computing Lab (PDCL) conducts research at the intersection of high performance computing and big data processing. Our group works in the broad area of Parallel & Distributed ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model.