FEEDBACK-DRIVEN TUNING FOR EFFICIENT PARALLEL EXECUTION

Patent №

US 8,914,802

Granted

2014-12-16

Filed 2012

Owner

SAP AG

Lab

AI components

4

ml · kr · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13587531

A parallel execution manager may determine a parallel execution platform configured to execute tasks in parallel using a plurality of available processing threads. The parallel execution manager may include a thread count manager configured to select, from the plurality of available processing threads and for a fixed task size, a selected thread count, and a task size manager configured to select, from a plurality of available task sizes and using the selected thread count, a selected task size. The parallel execution manager may further include an optimizer configured to execute an iterative loop in which the selected task size is used as an updated fixed task size to obtain an updated selected thread count, and the updated selected thread count is used to obtain an updated selected task size. Accordingly, a current thread count and current task size for executing the tasks in parallel may be determined.

AI classification

AI hardware1.00
Machine learning0.98
Knowledge representation0.97
Evolutionary computation0.76
Vision0.09
Natural language0.03
Speech0.00
Planning0.00

Ownership

SAP AG

assignment · 324610835

Assignors

LI, WEN-SYAN, JIA, XUEFENG

On an employer assignment, the assignors are typically the inventors.

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