Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

208 results about "Dispatch table" patented technology

In computer science, a dispatch table is a table of pointers to functions or methods. Use of such a table is a common technique when implementing late binding in object-oriented programming.

Method for business dispatching in time triggering FC network

ActiveCN108777660AReduce space complexityMeet the needs of real-time data configurationFibre transmissionData switching networksChannel networkFibre Channel
The present invention discloses a method for business dispatching in a time triggering FC network, and relates to the field of an FC network. The method comprises the following steps of: establishinga network model, calculating a cluster period, and determining the length of a single time slot of each time triggering message; determining the priority of a TT message according to a certain rule; planning a link transmitting the TT message; detecting the schedulability of the TT message; selecting the TT message with the highest priority to arrange the time slot of the TT message; according tothe periodicity and the transmission link of the TT message, arranging all other time slots; arranging the TT message of the next priority, and solving a time slot map meeting conflict-free and periodsending of all the TT messages in all the links; and according to a whole network and total business time slot map, solving the sending and receiving time dispatching tables in each terminal and eachexchange. The method ensures the transmitting and receiving of the message determinacy in the optical fiber channel network so as to meet the demand of real-time message dispatching in the complex application system and allow the upper-layer application system performance to be more determined and reliable.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA +1

Data flow compilation optimization method oriented to multi-core cluster

ActiveCN103970580AImplementing a three-level optimization processImprove execution performanceResource allocationMemory systemsCache optimizationData stream
The invention discloses a data flow compilation optimization method oriented to a multi-core cluster system. The data flow compilation optimization method comprises the following steps that task partitioning and scheduling of mapping from calculation tasks to processing cores are determined; according to task partitioning and scheduling results, hierarchical pipeline scheduling of pipeline scheduling tables among cluster nodes and among cluster node inner cores is constructed; according to structural characteristics of a multi-core processor, communication situations among the cluster nodes, and execution situations of a data flow program on the multi-core processor, cache optimization based on cache is conducted. According to the method, the data flow program and optimization techniques related to the structure of the system are combined, high-load equilibrium and high parallelism of synchronous and asynchronous mixed pipelining codes on a multi-core cluster are brought into full play, and according to cache and communication modes of the multi-core cluster, cache access and communication transmission of the program are optimized; furthermore, the execution performance of the program is improved, and execution time is shorter.
Owner:HUAZHONG UNIV OF SCI & TECH

Multi-core parallel simulation engine system supporting joint operations

The invention discloses a multi-core parallel simulation engine system supporting joint operations. The system solves the problem that the real-time performance of a traditional joint operation system is easily influenced when step length is used to forward logic time. The system includes a model scheduling management module, a thread management module, an external interface management module and a high-level architecture (HLA) management module. According to the system, target nodes are assigned for simulation entities to enable total computation amounts of models on each node to be equivalent; then through the model scheduling management module, a scheduling schedule of each node is generated based on a principle of load balancing, the simulation step length is assigned for the models, and during a simulation process, the scheduling schedule is adjusted and the simulation step length of the destroyed entities and generated new entities is adjusted. The system can autonomously divide the scheduling schedule according to operating cycles of the models and the system step length, allow the entities to use the different physical models or the behavior models according to needs for simulation, and support real-time scheduling of large-scale simulation and the high-fidelity operation models.
Owner:BEIHANG UNIV

Hadoop job scheduling method based on genetic algorithm

The invention discloses a Hadoop job scheduling method based on a genetic algorithm. The Hadoop job scheduling method comprises the following steps: firstly, pre-processing work to generate an encoding and decoding table; secondly, generating initial scheduling tables of a plurality of executing work, and carrying out fitness detection sorting on the initial scheduling tables to obtain a scheduling table list; finally, carrying out genetic operation on the initial scheduling tables in the scheduling table list to form a final scheduling table list; taking the scheduling table ranked in the most front of the final scheduling table list as an optimal scheduling table; distributing tasks of different work to corresponding TaskTracker for execution according to the optimal scheduling table, so as to finish a Hadoop job scheduling task. According to the scheduling method, resources in a platform do not need to be pre-set before jobs are scheduled; dynamic acquisition, counting and distribution are carried out in a scheduling process and the burden of an administrator is alleviated; furthermore, the total finishing time of the work and the average finishing time of the work can be controlled by the scheduling method, so that the fairness of executing the work is guaranteed and the executing efficiency can also be ensured.
Owner:XI'AN POLYTECHNIC UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products