212 results about "Program optimization" patented technology

The invention relates to phosphor-conversion (PC) sources of white light, which are composed of at least two groups of emitters, such as ultraviolet (UV) light-emitting diodes (LEDs) and wide-band (WB) or narrow-band (NB) phosphors that completely absorb and convert the flux generated by the LEDs to other wavelengths, and to improving the color quality of the white light emitted by such light sources. In particular, embodiments of the present invention describe new 2-4 component combinations of peak wavelengths and bandwidths for white PC LEDs with complete conversion. These combinations are used to provide spectral power distributions that enable lighting with a considerable portion of a high number of spectrophotometrically calibrated colors rendered almost indistinguishably from a blackbody radiator or daylight illuminant, and which differ from distributions optimized using standard color-rendering assessment procedures based on a small number of test color samples.

A sampling-based system and method for adaptively optimizing a computer program executing in an execution environment that comprises one or more compiler devices for providing various levels of program optimization. The system comprises a runtime measurements sub-system for monitoring execution of the computer program to be optimized, the monitoring including obtaining raw profile data samples and characterizing the raw profile data; a controller device for receiving the characterized raw profile data from the runtime measurements sub-system and analyzing the data for determining whether a level of program optimization for the executing program is to be performed by a compiler device, the controller generating a compilation plan in accordance with a determined level of optimization; and, a recompilation sub-system for receiving a compilation plan from the controller and invoking a compiler device for performing the level of program optimization of the executing program in accordance with the compilation plan.

An optimization method and apparatus for converting source code for a program written in a programming language into machine language and for optimizing the program includes employing a basic block as a unit to estimate an execution time for the program to be processed, generating a nested tree that represents the connections of the basic blocks using a nesting structure, when a conditional branch is accompanied by a node in the nested tree, employing the execution time estimated by using the basic blocks as units to obtain an execution time at the node of the program when a conditional branching portion of a program is directly executed and when the conditional branching portion is executed in parallel, and defining the node as a parallel execution area group when the execution time required for the parallel execution is shorter or dividing multiple child nodes of the nodes into multiple parallel execution areas when the execution time for the conditional branching portion is shorter.

Methods, apparatus and computer software product for source code optimization are provided. In an exemplary embodiment, a first custom computing apparatus is used to optimize the execution of source code on a second computing apparatus. In this embodiment, the first custom computing apparatus contains a memory, a storage medium and at least one processor with at least one multi-stage execution unit. The second computing apparatus contains at least two multi-stage execution units that allow for parallel execution of tasks. The first custom computing apparatus optimizes the code for parallelism, locality of operations and contiguity of memory accesses on the second computing apparatus. This Abstract is provided for the sole purpose of complying with the Abstract requirement rules. This Abstract is submitted with the explicit understanding that it will not be used to interpret or to limit the scope or the meaning of the claims.

A deployment server can include a profile data store, a generic application data store, and an optimizer. The profile data store can contain a plurality of attributes for devices and associate different optimization parameters or optimization routines to each of the stored attributes. The generic application data store can contain at least one generic application written in a device independent fashion. The optimizer can receive application requests from an assortment of different requesting devices and can dynamically generate device-specific applications responsive to received requests. For each requesting device, the optimizer can determine attributes of a requesting device, utilize the profile data store to identify optimization parameters or optimization routines for the requesting device, and generate a device-specific application based upon data from the profile data store and based upon a generic application retrieved from the generic application data store.

A system and method for generating, managing and accessing a schema that facilitates maximizing utility of a managed communication is provided. The system provides a computer-based system for creating, accessing and/or managing a schema employed in utility-optimizing communication management. The system includes computer components for receiving communication related data and storing such communication related data, inferences concerning such data, probabilities and/or probability distributions associated with such data in an extensible, portable, data schema. The schema can facilitate making utility optimizing communication management decisions.

The invention discloses a method used for reporting the program crash information, which aims at solving the problems of hard statistics and analysis of the program mistakes and inconvenient optimizing of the program in the prior art caused by the non-reporting of the program crash information. The method captures the error address and error message when the program is crashed, taking advantage of the detecting program and reports to the server via the reporting program, while the server analyzes the error address and error message reported when the application program is crashed, and classifies and stores the error message according to the error address. At the same time, the invention discloses a processing system for program crash information.

An apparatus having a transactional memory enabling exclusive control to execute a transaction. The apparatus includes: a first code generating unit configured to interpret a program, and generate first code in which a begin instruction to begin a transaction and an end instruction to commit the transaction are inserted before and after an instruction sequence including multiple instructions to execute designated processing in the program; a second code generating unit configured to generate second code at a predetermined timing by using the multiple instructions according to the designated processing; and a code write unit configured to overwrite the instruction sequence of the first code with the second code or to write the second code to a part of the first code in the transaction.

Embodiments of the invention provide a method, a device, and a system for optimizing application programs. The method comprises: obtaining a to-be-optimized application program installation package suitable to be used for a mobile terminal, obtaining an executable file used for installation of the application program from the application program installation package; injecting a dynamic library which is generated in advance to be used for bearing custom code tools into the executable file; embedding a new description file used to replace an original description file into the executable file; resigning the executable file which includes the dynamic library and the new description file; packaging the executable file which is resigned, to obtain an optimized application program installation package; the optimized application program installation package being used to install an optimized application program on a mobile terminal. The method, the device, and the system can simply and conveniently realize optimization of application programs under the condition that preinstallation of APPs is not needed, and complicated analysis processing is not needed, and the method, the device, and the system saves time, efforts, and are efficient.

The embodiment of the invention discloses a washing control optimizing method, device, electronic device and storage medium and relates to the technical field of smart home. The washing control optimizing method, device, electronic device and storage medium can effectively improve the optimizing efficiency and effects of washing control programs. The washing control optimizing method comprises receiving image information of objects to be washed, which is transmitted by at least one washing terminal, performing image analysis on the image information of the objects to be washed to establish identification models or adjusting existing identification models, wherein the identification models are used for identifying the object states of the objects to be washed, and the object states compriseat least one of following parameters including type, number, texture, dirty degree, drying degree and placing state of the objects to be washed; based on the identification models, identifying the object states of the objects to be washed, and adjusting washing control parameters corresponding different object states so as to achieve expected washing effects on the objects to be washed at the minimal consumption of resources. The washing control optimizing method, device, electronic device and storage medium can be applied to washing program optimization of washing equipment.

The embodiment of the invention discloses a program optimization method, device, terminal and storage medium, and belongs to the field of application optimization. The method comprises the steps thatan operation system sends system running information to a target application program through a preset mode, the system running information is used for representing a running state of a system; the target application program receives the system running information; the target application program determines a program optimization strategy according to the system running information, the program optimization strategy is used for adjusting a running strategy of the target application program; and the target application program executes the program optimization strategy. The program optimization method, device, terminal and storage medium have the advantages that based on the system running information transmitted by the operation system, the target application program correspondingly adjusts its own running strategy, thereby improving the running quality of the target application program in the operation system, avoiding hysteresis, frame loss and other phenomena caused by poor hardware performance, and achieving the effect of improving the running fluency of the application program.

The embodiment of the invention discloses a method for realizing Java application installation via cloud compilation. The method comprises the following steps that: terminal equipment transmits the hardware configuration information of the terminal equipment and the version information of a target application to an application market server in order to obtain the upgrade information of the target application corresponding to the hardware configuration information and the version information of the target application through the application market server; the terminal equipment receives the upgrade information of the target application fed back by the application market server, wherein the upgrade information includes a target code file corresponding to newest version information obtained by compilation of an intermediate code file corresponding to the version information of the target application on a cloud server; and the terminal equipment performs optimal installation of the target application according to the upgrade information in order to update the version of the target application. Through adoption of the embodiment of the invention, the method has the advantages that the equipment memory occupied by the optimal installation of the application can be reduced specifically; the efficiency of optimal installation of the application is increased; and the user experience of application installation is enhanced.

The invention relates to a graphics processing unit (GPU) program optimization method based on compute unified device architecture (CUDA) parallel environment. The GPU program optimization method defines performance bottleneck of a GPU program core and comprises global storage access delay, shared storage access conflict, instruction pipelining conflict and instruction bottleneck according to grades. An actual operational judgment criterion and a bottleneck optimization solving method of each performance bottleneck are provided. A global storage access delay optimization method includes transferring a shared storage, access merging, improving thread level parallelism and improving instruction level parallelism. A shared storage access conflict and instruction pipelining conflict optimization method includes solving bank conflict, transferring a register, improving thread level parallelism, and improving instruction level parallelism. The instruction bottle neck includes instruction replacing and branch reducing. The GPU program optimization method provides a basis for CUDA programming and optimization, helps a programmer conveniently find the performance bottleneck in a CUDA program, conducts high-efficiency and targeted optimization for the performance bottleneck, and enables the CUDA program to develop computing ability of GPU equipment to the great extent.

A method, computer system, and computer program product for using one or more hardware interrupts to drive dynamic binary code recompilation. The execution of a plurality of instructions is monitored to detect a problematic instruction. In response to detecting the problematic instruction, a hardware interrupt is thrown to a dynamic interrupt handler. A determination is made whether a threshold for dynamic binary code recompilation is satisfied. If the threshold for dynamic code recompilation is satisfied, the dynamic interrupt handler optimizes at least one of the plurality of instructions.

The invention discloses a reservoir multi-parameter water quality vertical dynamic data collecting method, and belongs to the filed of water quality monitoring. A control program of a computer terminal is utilized for optimizing the delay and monitoring depth relationship so as to reduce the delay influence caused by a water quality monitoring probe. In the process of putting a step motor in a water quality collecting system, the computer terminal receives and analyzes the change rate of multiple parameters on the vertical section at a measuring point in real time; the sampling frequency is regulated according to the change rate value of reservoir water quality parameters; the step motor is controlled by a single chip microcomputer for controlling the upward pulling action and the downward putting speed of a multi-parameter data collecting module, so that the change trend of various parameters of the water quality at the vertical section is caught. The reservoir multi-parameter water quality vertical dynamic data collecting method provided by the invention has the advantages that collected water quality data is reliable and efficient, and the water quality delamination phenomenon of large-area deep water bodies such as reservoirs can be monitored.

The invention discloses a cooking program and mouthfeel analysis push method and cloud electric rice cooker system; the method and system can use a cooking program and mouthfeel capture function to obtain mass usage information and cooking program and mouthfeel information of an intelligent electric rice cooker user, can carry out big data integration analysis for the captured information, and can carry out data analysis process on a server end. The method and system can store various cooking programs and mouthfeel of the user in a cooking process, thus better providing data for user mouthfeel customization and cooking program optimization treatment. The function can provide data so as to allow the user to continuously improve personal cooking programs and mouthfeel parameters; the server end can integratedly analyze the cooking big data, thus developing more and better cooking methods of different rice under different temperature curve, and providing data support for the user making mouthfeel customization and cooking program operation.