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A parallel Cauchy Reed-Solomon Coding Library for GPUs

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PErasure

A parallel Cauchy Reed-Solomon Coding Library for GPUs. Implementation of this paper

Installation

Clone the repository. There is no need to install the project.

Dependencies

Install the following libraries:

git clone https://github.com/tsuraan/Jerasure.git
git clone http://lab.jerasure.org/jerasure/gf-complete.git

Follow the instructions here to correctly install the two libraries.

Compilation

Compile PErasure with:

nvcc perasure.cu -o bin/output_name -I /usr/local/include/jerasure -lJerasure -lgf_complete

Compile sequential jerasure with:

g++ seq_erasure.cpp -o bin/output_name -I /usr/local/include/jerasure -lJerasure -lgf_complete

Running

In order to run you need to pass the following arguments:

k: number of data devices
m: number of coding devices
w: number of rows. The following must hold: m + k <= 2^w
size: how many bytes per row

example:
./perasure 3 4 8 8

Performance evaluation

There are a series of scripts in the bin folder which can be used to perform a series of runs of the algorithm with a given configuration. Modify those if you want to test different configuration. Note that perasure_mem.cu is used to test performances taking into account the overhead due to data copy to and from the device.

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