Sap Se

Tianyu Luwang

Wen-Syan Li

Wen Jiang

Conglun Yao

Nairu Fan

A framework for intelligent memory replacement of loaded data blocks by requested data blocks is provided. For example, various factors are taken into account to optimize the selection of loaded data blocks to be discarded from the memory, in favor of the requested data blocks to be loaded into the memory. In some implementations, correlations between the requested data blocks and the loaded data blocks are used to determine which of the loaded data blocks may become candidates to be discarded from memory.

Intelligent memory block replacement

Disclosed herein are technologies for quantitative evaluation and optimization of user interface and software design. In one implementation, a design step in a software process is chosen. The software process may be evaluated with different design elements, and time penalties for the different design elements may be determined during the evaluation. A design element of the design step may then be changed to one of the different design elements with the lowest time penalty.

Quantitative evaluation and optimization of user interface software design

The method includes determining an assignment completion time distribution based on a task set defining a project, determining a project completion time distribution based on the assignment completion time distribution and the task set, determining a project cost based on assignments of the task set, and generating a list of project task assignments based on the project cost and the project completion time distribution.

System and method for task assignment in workflows

An association rule accelerator may be used to access a transaction database storing a plurality of transactions, each transaction including one or more items. The association rule accelerator also may select a sampling rate based on an item frequency of frequent items within the transaction database, relative to a sampled item frequency of sampled items within a corresponding sampled transaction database. An an association rule selector may determine, using the selected sampling rate and corresponding sampled transaction database, frequent item sets within the sampled transactions, and may further determine an association rule relating at least two items of the sampled transactions, based on the frequent item sets.

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Shanghai, China

Tianyu Luwang