We present here the results of our investigation of a transactional model of parallel programming on cluster computing systems. This model is specifically targeted for graph applications with the goal ...

To address these challenges, this paper presents a unifying generalized SIMD-like programming model (and corresponding C++ implementation) that can be used to uniformly express graph and other ...

Shared memory is a parallel programming model where multiple threads or processes access the same memory space and communicate through shared variables or data structures. This model is suitable ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

Finally, new extensions and APIs for managing memory, streams, events, graphs, and modules ... C++ library that provides a unified programming model for parallel and distributed computing, based ...

A language based performance model: this gives a formal way to calculated the work and depth of a program. These measures can be related to running time on parallel machines. The main emphasis in the ...

schedula is a dynamic flow-based programming environment for python ... it to a non-IT audience through its interactive graphs and charts. It provides the option to run a model asynchronously or in ...

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.