公开(公告)号：US20190146997A1

公开(公告)日：2019-05-16

申请号：US16223518

申请日：2018-12-18

Applicant: SAS Institute Inc.

Inventor： Minna Jin ,  Huina Chen ,  Juan Du ,  Henry Gabriel Victor Bequet

IPC: G06F16/901 ,  H04L29/08 ,  G06F16/903

CPC classification number: G06F16/9014 ,  G06F9/4881 ,  G06F16/25 ,  G06F16/90344 ,  H04L67/10

Abstract: An apparatus includes a processor to: receive a request to provide, within a specified federated area, a set of objects that enable a performance of a job flow to perform multiple tasks of an analysis based on data table(s) and formulae of a spreadsheet data structure, wherein the set of objects includes at least one task routine to perform a task of the multiple tasks; correlate each indication of data required as input or output to at least a subpart of a data table; identify data dependencies and determine an order of performance among the multiple tasks based on the formulae; generate, within the specified federated area, a job flow definition that specifies the order of performance of the multiple tasks; and for each task routine of the at least one task routine, generate, within the specified federated area, a corresponding macro data structure.

公开(公告)号：US20190146998A1

公开(公告)日：2019-05-16

申请号：US16226828

申请日：2018-12-20

Applicant: SAS Institute Inc.

Inventor： Minna Jin ,  Huina Chen ,  Juan Du ,  Henry Gabriel Victor Bequet

IPC: G06F16/901 ,  H04L29/08 ,  G06F16/903

CPC classification number: G06F16/9014 ,  G06F9/4881 ,  G06F16/25 ,  G06F16/90344 ,  H04L67/10

Abstract: An apparatus includes a processor to: receive a request to generate a DAG of a job flow of multiple tasks of an analysis based on data table(s) and formulae of a spreadsheet data structure; correlate each indication of data required as input or output to at least a subpart of a data table; identify data dependencies and determine an order of performance among the multiple tasks based on the formulae; generate, within the specified federated area, a job flow definition that specifies the order of performance of the multiple tasks; for each task of the multiple tasks, generate, within the specified federated area, a corresponding macro data structure of multiple macro data structures; and generate the requested visualization based on the job flow definition and the multiple macro data structures.

公开(公告)号：US10002029B1

公开(公告)日：2018-06-19

申请号：US15896613

申请日：2018-02-14

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Huina Chen

IPC: G06F9/46 ,  G06F9/50 ,  G06F17/30

Abstract: An apparatus includes a processor to: receive, from a first remote device, a request to perform iterations of a training job flow to generate a neural network at least partly within a first federated area, wherein access to the first federated area is granted to the first remote device and not a second remote device, access to a second federated area is granted to the second remote device and not the first remote device, and a transfer area is maintained to transfer a neural network data set between the first and second federated areas; perform the at least some iterations; and analyze an output object generated in each iteration to determine whether a condition has been met to transfer a copy of the neural network data set from the first federated area to the transfer area to enable its transfer to the second federated area to test the neural network.

公开(公告)号：US09760376B1

公开(公告)日：2017-09-12

申请号：US15422285

申请日：2017-02-01

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Huina Chen

IPC: G06F15/16 ,  G06F9/30 ,  G06F9/38 ,  G06F9/50 ,  G06F9/48

CPC classification number: H04L67/1008 ,  G06F9/30043 ,  G06F9/30145 ,  G06F9/30181 ,  G06F9/3885 ,  G06F9/4806 ,  G06F9/5027 ,  G06F9/5066 ,  G06F9/5072 ,  H04L41/0896 ,  H04L67/1097

Abstract: An apparatus may include a processor and storage to store instructions that cause the processor to perform operations including: in response to a determination that a GPU of a node device is available, determine whether a task routine can be compiled to generate a GPU task routine for execution by the GPU to cause performance of multiple instances of a task of the task routine at least partially in parallel without dependencies thereamong; and in response to a determination that the task routine is able to be compiled to generate the GPU task routine: employ a conversion rule to convert the task routine into the GPU task routine; compile the GPU task routine for execution by the GPU; and assign performance of the task with a data set partition to the node device to enable performance of the multiple instances with the data set partition by the GPU.

公开(公告)号：US20170255468A1

公开(公告)日：2017-09-07

申请号：US15422285

申请日：2017-02-01

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Huina Chen

IPC: G06F9/30 ,  G06F9/50 ,  G06F9/48 ,  G06F9/38

CPC classification number: H04L67/1008 ,  G06F9/30043 ,  G06F9/30145 ,  G06F9/30181 ,  G06F9/3885 ,  G06F9/4806 ,  G06F9/5027 ,  G06F9/5066 ,  G06F9/5072 ,  H04L41/0896 ,  H04L67/1097

Abstract: An apparatus may include a processor and storage to store instructions that cause the processor to perform operations including: in response to a determination that a GPU of a node device is available, determine whether a task routine can be compiled to generate a GPU task routine for execution by the GPU to cause performance of multiple instances of a task of the task routine at least partially in parallel without dependencies thereamong; and in response to a determination that the task routine is able to be compiled to generate the GPU task routine: employ a conversion rule to convert the task routine into the GPU task routine; compile the GPU task routine for execution by the GPU; and assign performance of the task with a data set partition to the node device to enable performance of the multiple instances with the data set partition by the GPU.