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918 results about "High performance computation" patented technology

High-Performance Computing. High Performance Computing (HPC) is the IT practice of aggregating computing power to deliver more performance than a typical computer can provide.

System and method for executing compute-intensive database user-defined programs on an attached high-performance parallel computer

The invention pertains to a system and method for dispatching and executing the compute-intensive parts of the workflow for database queries on an attached high-performance, parallel computing platform. The performance overhead for moving the required data and results between the database platform and the high-performance computing platform where the workload is executed is amortized in several ways, for example,
    • by exploiting the fine-grained parallelism and superior hardware performance on the parallel computing platform for speeding up compute-intensive calculations,
    • by using in-memory data structures on the parallel computing platform to cache data sets between a sequence of time-lagged queries on the same data, so that these queries can be processed without further data transfer overheads,
    • by replicating data within the parallel computing platform so that multiple independent queries on the same target data set can be simultaneously processed using independent parallel partitions of the high-performance computing platform.
A specific embodiment of this invention was used for deploying a bio-informatics application involving gene and protein sequence matching using the Smith-Waterman algorithm on a database system connected via an Ethernet local area network to a parallel supercomputer.
Owner:IBM CORP

Decentralized cross cluster resource management and task scheduling system and scheduling method

The invention relates to a decentralized cross cluster resource management and task scheduling system and a scheduling method. The scheduling system comprises a subsystem for providing management and coordination service, a subsystem for providing computing service and a subsystem for providing access service, the subsystem for providing the management and coordination service acquires information of other subsystems, provides monitoring, reporting, billing, resource sharing coordination work, and provides decision reference for management and planning of a high-performance computing system. The subsystem for providing the computing service is provided with a data center of a high-performance computing node and collects local and remote resources, so that work scheduling is performed according to the local and remote resources. The subsystem for providing the access service provides localized work submission and access management service for a user. The decentralized cross cluster resource management and task scheduling method integrates single cluster resources, on one hand, work execution efficiency and user experience are improved, on the other hand, existing resources are effectively and maximally used, and the cost for purchasing hardware to expand computing power is saved.
Owner:BEIJING SIMULATION CENT

Multi-thread parallel processing method based on multi-thread programming and message queue

ActiveCN102902512AFast and efficient multi-threaded transformationReduce running timeConcurrent instruction executionComputer architectureConcurrent computation
The invention provides a multi-thread parallel processing method based on a multi-thread programming and a message queue, belonging to the field of high-performance computation of a computer. The parallelization of traditional single-thread serial software is modified, and current modern multi-core CPU (Central Processing Unit) computation equipment, a pthread multi-thread parallel computing technology and a technology for realizing in-thread communication of the message queue are utilized. The method comprises the following steps of: in a single node, establishing three types of pthread threads including a reading thread, a computing thread and a writing thread, wherein the quantity of each type of the threads is flexible and configurable; exploring multi-buffering and establishing four queues for the in-thread communication; and allocating a computing task and managing a buffering space resource. The method is widely applied to the application field with multi-thread parallel processing requirements; a software developer is guided to carry out multi-thread modification on existing software so as to realize the optimization of the utilization of a system resource; and the hardware resource utilization rate is obviously improved, and the computation efficiency of software and the whole performance of the software are improved.
Owner:LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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