In this paper we consider the problem of programming for heterogeneous computer systems consist of CPUs and various accelerating devices such as GPUs. We introduce a few of the most popular models for ...

Parallel Works launched Activate AI, a new control plane for deploying and managing AI and ML workloads that require ...

A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was ...

In large-scale parallel computing systems, machines and the network suffer from non-negligible faults, often leading to system crashes. The traditional method to increase reliability is to restart the ...

This project demonstrates parallelization techniques for Graph Neural Networks (GNNs) using: CUDA for GPU acceleration MPI (mpi4py) for distributed computing Python Multiprocessing for parallel ...