MathWorks MATLAB R2018a Update 4

MathWorks MATLAB R2018a Update 4
New Features, Bug Fixes, Compatibility Considerations
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Parfeval callbacks: New afterAll and afterEach methods for parallel futures
Slurm support: Slurm is a fully supported scheduler
Support for NVIDIA Volta: Update to CUDA 9, support for Volta class GPUs
Improved file mirroring: Performance of file mirroring for generic scheduler integration
​Parfor performance improvements: More efficient broadcast variables in parfor for non-local clusters
GPU Array Support: Use enhanced gpuArray functions
Distributed Array Support: Use enhanced distributed array functions
Parameter Sweep Example: Use a DataQueue to monitor results during computations on a parallel pool
Discontinued Support for GPU Devices of Compute Capability less than 3.0
Backwards Compatibility for MATLAB Job Scheduler: Upgrade MATLAB Job Scheduler (MJS) clusters, and continue to use previous releases of Parallel Computing Toolbox
Upgrade Parallel Computing Products Together
Functionality Being Removed or Changed
Product:MathWorks MATLAB R2018a Update 4
Lanaguage:english
Platform:Win7/WIN8
Size:1CD