产品要求& Platform Availability for MATLAB Parallel Server

Requires access to a client session of MATLAB and Parallel Computing Toolbox for job submission. Note that only the cluster computers need to have MATLAB Parallel Server installed.

System Requirements

Cluster Computers Running MATLAB Workers (All Schedulers)

• Minimum of 4 GB RAM per MATLAB worker is recommended. If you are using Simulink, 8GB RAM per worker is recommended.
• Approximately 32GB of disk space to accommodate a typical complete installation of MATLAB Parallel Server.
• Complete installation of MATLAB Parallel Server will also install MATLAB, Simulink, and Toolboxes.
• MATLAB Parallel Server can be installed on a shared network drive or in the same location on each individual machine in the cluster.
• Minimum of 5 GB of disk space is recommended to accommodate temporary data directories.
  
• MATLAB工人需要几个TCP端口，以进行各种工人服务和工作间的交流。有关详细信息，请参见下文。
• Homogeneous cluster configurations are recommended. Parallel processing constructs that work on the infrastructure enabled byparpool—parfor, parfeval spmd, distributed arrays, and message passing functions—cannot be used on a heterogeneous cluster configuration. The underlying MPI infrastructure requires that all cluster computers have matching word sizes and processor endianness.
• If you are using Linux and will create large parallel pools of workers, it is recommended that you adjust your operating system limits. For more information, seeRecommended System Limits.
• Maximum of 1 MATLAB worker per physical CPU core is recommended.

Clusters Using Third-Party Schedulers

See the list of supported schedulers. Consult your scheduler documentation for details. Most schedulers require client utilities to be installed on the computer that submits jobs to the cluster.

For interactive parallel computations, MATLAB workers running on cluster computers must be able to connect to the MATLAB session running on user desktop via TCP. This is not required for running applications in batch.

A shared file system between user desktops and cluster is strongly recommended. Availability of a shared file system is assumed by default for all the built-in configurations. An API is available to extend these configurations for environments with nonshared file systems.

Clusters Using MATLAB Job Scheduler (MJS) as the Scheduler

计算机运行MATLAB作业调度程序（头节点）

Minimum of 5 GB of disk space is recommended to accommodate temporary data directories. Sufficient number of per-processfile descriptorsis required: a minimum of 16,384 is recommended for 64 MATLAB workers or more, and a minimum of 8,192 is recommended for fewer than 64 workers. Several TCP ports are required for services associated with the job manager. Consult the documentation for theTCP端口的要求. For Windows clusters, a sufficient number ofephemeral TCP portsis required to support large data set transfer, particularly for clusters with 32 or more workers. You can increase the default maximum number of ephemeral TCP ports set by Windows (5,000) by editing the Windows registry. For detailed instructions, see theTroubleshootingsection in the documentation. You will need 1000 MB of heap memory available to the job scheduler to accommodate up to the first 1000 workers or tasks. If you scale up to more than 1000 workers, you must increase the heap memory available to the job manager. See the增加内存section in the documentation.

Network

Presence of DNS or equivalent service that allows MATLAB workers and job manager processes touniquely通过主机名相互识别。例如，如果计算机将自己标识为“ Computer1”，则其他计算机必须能够解析名称“ Computer1”。 For interactive parallel computations, the MATLAB session running on user desktop must be able to connect to MATLAB workers running on cluster computers via TCP. This is not required for running applications in batch. The hostname for every node on the cluster must be bound to an IP address that matches an address on one of the host's network interface cards (NICs). Parallel processes will work correctly on machines with multiple NICs. SeeTechnical Solution 1-1Z2DHH为了确定您的配置是否正确。

Connecting a Desktop Computer (Client Machine) to MATLAB Parallel Server Running in the Cloud

The client machine must be able to make outgoing connections¹to:

Cluster Type	Port(s)2	Domain3	Connecting to
Cloud Center4	443	mathworks.com	MathWorks license manager
	27355 to 27358 + 4*N	amazonaws.com	MATLAB Parallel Server running in AWS
Reference Architecture	27350至27358 + 4*n	Amazonaws.com或azure.com	MATLAB Parallel Server running in AWS or Azure
	443	Amazonaws.com或azure.com	AWS or Azure
	443	mathworks.com	MathWorks license manager (if using online-licensing)

¹The client machine must be able to instantiate a socket to the cluster, which at a TCP level means that the initial SYN packet for the TCP/IP communication comes from the client. Most NAT and general firewalls allow this type of communication, but if you have more stringent rules, you may need to enable such outgoing communication.

²N is the maximum number of workers on a single node.

³For the domain, it is sufficient to have a properly configured SSL capable proxy server that can contact those domains.

⁴Access to Cloud Center clusters is restricted to specified external IP addresses. These addresses can be configured manually in Cloud Center or automatically if the “Auto-Manage Cluster Access” feature has been enabled on the cluster. Learn more这里.