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US Patent 10148736 Executing parallel jobs with message passing on compute clusters

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
101487360
Patent Inventor Names
Scott Michael Le Grand0
Peter Sirota0
Rejith George Joseph0
Saurabh Dileep Baji0
Tin-Yu Lee0
Date of Patent
December 4, 2018
0
Patent Application Number
142815820
Date Filed
May 19, 2014
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Patent Citations Received
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US Patent 12135989 Compute recommendation engine
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US Patent 10984889 Method and apparatus for providing global view information to a client
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US Patent 10986168 Distributed catalog service for multi-cluster data processing platform
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US Patent 10999353 Beacon-based distributed data processing platform
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US Patent 11018950 Dynamic optimization of simulation resources
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US Patent 11650951 Edge component computing system having integrated FaaS call handling capability
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US Patent 11749412 Distributed data analytics
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US Patent 11366782 Edge component computing system having integrated FaaS call handling capability
...
Patent Primary Examiner
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James E Springer
0
Patent abstract

A client may submit a job to a service provider that processes a large data set and that employs a message passing interface (MPI) to coordinate the collective execution of the job on multiple compute nodes. The framework may create a MapReduce cluster (e.g., within a VPC) and may generate a single key pair for the cluster, which may be downloaded by nodes in the cluster and used to establish secure node-to-node communication channels for MPI messaging. A single node may be assigned as a mapper process and may launch the MPI job, which may fork its commands to other nodes in the cluster (e.g., nodes identified in a hostfile associated with the MPI job), according to the MPI interface. A rankfile may be used to synchronize the MPI job and another MPI process used to download portions of the data set to respective nodes in the cluster.

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