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MATLAB Distributed Computing Server

Support for Distributed Arrays

Support for Distributed Arrays

Use enhanced distributed array functions including sparse input to direct (mldivide) and iterative solvers (cgs and pcg)

Hadoop Kerberos Support

Hadoop Kerberos Support

Improved support for Hadoop in a Kerberos authenticated environment

Increased Data Transfer Limits

Increased Data Transfer Limits

Transfer data up to 4GB in size between client and workers in any job using a MATLAB job scheduler cluster

Third Party Scheduler Integration

Third Party Scheduler Integration

Obtain integration scripts for Third Party Schedulers (IBM Platform LSF, Grid Engine, PBS and SLURM) from MATLAB Central File Exchange instead of Parallel Computing Toolbox

Latest Releases

R2016a (Version 6.8) - 3 Mar 2016

Version 6.8, part of Release 2016a, includes the following enhancements:

  • Support for Distributed Arrays: Use enhanced distributed array functions including sparse input to direct (mldivide) and iterative solvers (cgs and pcg)
  • Hadoop Kerberos Support: Improved support for Hadoop in a Kerberos authenticated environment
  • Increased Data Transfer Limits: Transfer data up to 4GB in size between client and workers in any job using a MATLAB job scheduler cluster
  • Third Party Scheduler Integration: Obtain integration scripts for Third Party Schedulers (IBM Platform LSF, Grid Engine, PBS and SLURM) from MATLAB Central File Exchange instead of Parallel Computing Toolbox

See the Release Notes for details.

R2015b (Version 6.7) - 3 Sep 2015

Version 6.7, part of Release 2015b, includes the following enhancements:

  • Scheduler integration scripts for SLURM
  • Improved performance of mapreduce on Hadoop 2 clusters
  • parallel.pool.Constant function to create constant data on parallel pool workers, accessible within parallel language constructs such as parfor and parfeval

See the Release Notes for details.

R2015a (Version 6.6) - 5 Mar 2015

Version 6.6, part of Release 2015a, includes the following enhancements:

  • Support for mapreduce function on any cluster that supports parallel pools

See the Release Notes for details.

R2014b (Version 6.5) - 2 Oct 2014

Version 6.5, part of Release 2014b, includes the following enhancements:

  • Data Analysis on Hadoop clusters using mapreduce
  • Additional MATLAB functions for distributed arrays, including fft2, fftn, ifft2, ifftn, cummax, cummin, and diff

See the Release Notes for details.

R2014a (Version 6.4) - 6 Mar 2014

Version 6.4, part of Release 2014a, includes the following enhancements:

  • Duplication of an existing job, containing some or all of its tasks

See the Release Notes for details.