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Author: Francesco Pierfederici
Publisher: Packt Publishing Ltd
Total Pages: 170
Harness the power of multiple computers using Python through this fast-paced informative guide About This Book You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant Make use of ...Author: Sushil K Prasad
Publisher: Morgan Kaufmann
Total Pages: 360
module Within the Python community, there are many tools available for the exploration of parallelism, including pprocess, Celery, MPI4Py, and Parallel Python [2]. Our primary need in this work is pedagogical clarity and ease of ...Author: Mainak Chatterjee
Publisher: Springer
Total Pages: 552
Our implementation in Python and the associated evaluation results show that it has lower call completion time than ... Rossant, C., Fontaine, B., Goodman, D.F.: Playdoh: a lightweight python library for distributed computing and ...Author: Leonard Barolli
Publisher: Springer Nature
Total Pages: 583
2.2.1 Distributed Computing with Python The catalogue of tools to distribute computations with Python is quite large and spans the whole spectrum from low-level, message-passing tools (e.g., mpi4py [2]), to a host of task-based ...Author: Gabriele Lanaro
Publisher: Packt Publishing Ltd
Total Pages: 270
The list of topics for this chapter is as follows: Distributed computing and the MapReduce model Directed Acyclic Graphs with Dask Writing parallel code with Dask's array, Bag, and DataFrame data structures Distributing parallel ...Author: Luciano Ramalho
Publisher: "O'Reilly Media, Inc."
Total Pages: 1014
Pierfederici's Distributed Computing with Python (Packt) covers the standard library and also the use of cloud providers and HPC (High-Performance Computing) clusters. “Python, Performance, and GPUs” by Matthew Rocklin is “a status ...Author: Andriy Luntovskyy
Publisher: Springer
Total Pages: 344
... Development of Distributed Sysstems on the Basis of SOA, Complex Internship for Service and Cloud Computing, OS and Computer Networks, Basics of Programming and Software Technology, Distributed Systems, Python Programming.Author: Sacha Krakowiak
Publisher: Springer
Total Pages: 516
Advanced Distributed Computing: From Algorithms to Systems Sacha Krakowiak, Santosh Shrivastava. 4.3 Discussion A prototype implementation of the Ocl compiler and Configuration Machine has been achieved using the Python language [37].Author: José Cano
Publisher: Springer Nature
Total Pages: 443
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing Jun Shirako1( B ), Akihiro Hayashi1, Sri Raj Paul2, Alexey Tumanov1, and Vivek Sarkar1 1 Georgia Institute of Technology, Atlanta, GA 30332, ...Author: Cyrille Rossant
Publisher: Packt Publishing Ltd
Total Pages: 200
You'll find more details in the following references: • Documentation of IPython.parallel at http://ipyparallel.readthedocs. org/en/latest/ ... There are many frameworks for distributed computing and big data analysis in Python.