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Wolfram Mathematica​

What is Wolfram Mathematica?​

Wolfram Mathematica is a commerical software technical computing. The software is widely used in the fields of mathematics, statistics, data manipulation and machine learning.

Do I need a license to use Wolfram Mathematica?​

Yes. Wolfram Mathematica is a commercial software and requires a license to use. We currently have a limited number of licenses available for use on the cluster. If you are interested in using Wolfram Mathematica, please contact the HPC team at hpc@hyderabad.bits-pilani.ac.in.

How do I use Wolfram Mathematica?​

Users with access to Wolfram Mathematica can find the path to the software by running the following command:

module load mathematica

This will load the Mathematica module, and provide the user access to the Mathematica binaries.

Example of a single node GPU parallel job script for Wolfram Mathematica​

#!/bin/bash
#SBATCH -p gpu
#SBATCH -N 1
#SBATCH -n 8
#SBATCH --mem 8G
#SBATCH -p gpu_a100_8
#SBATCH -t 0-4:51 # time (D-HH:MM)
#SBATCH --job-name="mathematica_test"
#SBATCH -o slurm.%j.out
#SBATCH -e slurm.%j.err
#SBATCH --gres=gpu:1
#SBATCH --mail-user=<username>@hyderabad.bits-pilani.ac.in
#SBATCH --mail-type=ALL

module load mathematica

math -run < mathematica_script.m

An example of a GPU parallel Mathematica script is given below

(* Get slot count and convert from string *)
Unprotect[$ProcessorCount];
$ProcessorCount = ToExpression[Environment["SLURM_CPUS_PER_TASK"]];
$ProcessorCount = $ProcessorCount - 1; (* Minus 1 for master process *)

Print["Processors: ", $ProcessorCount];

SetSystemOptions["ParallelOptions" -> "ParallelThreadNumber" -> $ProcessorCount];
SetSystemOptions["ParallelOptions" -> "MKLThreadNumber" -> $ProcessorCount];

LaunchKernels[$ProcessorCount];

Print["Kernels: ", $KernelCount];

Needs["CUDALink`"];
CUDAInformation[];

(* Generate random matrix *)
randM = RandomReal[1, {5000, 5000}];
Print["Size of Random Matrix: ", ByteCount[randM], " Bytes"];

(* Multiply Matrix (CPU) *)
Print["Multiplication Time: ", AbsoluteTiming[randM.randM;]];

(* Multiply Matrix (GPU) *)
Print["GPU Multiplication Time: ", AbsoluteTiming[CUDADot[randM, randM];]]

(* Load Matrix into GPU memory *)
randMG = CUDAMemoryLoad[randM]

(* Multiply Matrix (GPU in memory) *)
Print["GPU Multiplication Time (mem): ", AbsoluteTiming[CUDADot[randM, randM];]]

To submit the job, you would then run

sbatch job.sh

where job.sh is your job script (not the mathematica script).

For more details on submitting jobs to Sharanga, please refer to Job Scheduling.

How do I get assistance with Wolfram Mathematica?​

We recommend that you first consult the Wolfram Mathematica documentation. There are also many other resources online with regards to using Wolfram Mathematica on a High Performance Computing Cluster. If you need further assistance, please contact the HPC team.