Tags » Parallel Computing

GPA2 - 2014 (Day -2)

The 2nd day of the GPU2 – 2014 workshop’s main was to give us examples where CUDA / Parallel Computing is actually used in the word. 208 more words

Workshops

GPU Programming and Applications (GPA2 - 2014)

Second National Workshop on “GPU Programming and Applications” (GPA2 – 2014)

IIT Madras, CUDA Center of Excellence (CCOE) of IIT Bombay, C-DAC, Pune and… 177 more words

Workshops

MPI parallel functional programming fundamentals for Python

Parallel implementation of the following python functions using Python’s mpi4py library. The parameters and calling conventions are the same as the original Python standard library functions. 91 more words

Parallel Computing

Mastering MapReduce once and for all

A simple definition by Google [1].

“MapReduce is a programming model and an associated implementation for processing and generating large data sets”

However, Wikipedia [2] goes a step further and adds the following.

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Mapreduce

Some Thoughts on Parallel Computing

Hello all,

It has been some time since I’ve last posted. I’ve been busy working at my internship lately, and because my work there largely centers around programming in some of my favorite languages, I’m not as much in the mood for working on personal projects in the same vein after a long day. 501 more words

Run Fluent simulation in SERC

Ansys – Fluent 13.0 is installed in Delta and Tyrone clusters of  SERC.   Pre-processing and post-processing can be done using any of the network-connected terminals or RedHat/Suse linux HPC machines of SERC using 4 CPUs from Tesla cluster.  627 more words

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