Parallel Deep Learning: Tensorflow and Keras
Presented topics: Tensorflow and Keras; Parallelism; Horovod; Data Pipeline; Tensorflow Dataset Recommendations; Demonstration of Multi-node/-GPU Examples using Tensorflow; Singularities. Data …
Read MoreGPU Programming – CUDA
Overview of several topics: Heterogeneous Parallel Computing; GPU Architecture; CUDA Programming; Multi-GPU programming; Multi-Dimensional Grids; Thread Execution; CUDA Memories; Global …
Read MoreMPI advanced
In the MPI advanced topic you can see explanation of one-sided communication and shared memory one-sided communication. Introduction to the …
Read MoreMPI intermediate
Introduction to more intermediate/advanced MPI topics MPI such as groups and communicators, virtual topologies and derived datatypes. Introduction to the …
Read MoreMPI basics
General overview, process model and language bindings. Explanation of how to run one program on several processors, work and data …
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