925 results about "High performance computation" patented technology

A grid-based approach for enterprise-scale data mining that leverages database technology for I / O parallelism and on-demand compute servers for compute parallelism in the statistical computations is described. By enterprise-scale, we mean the highly-automated use of data mining in vertical business applications, where the data is stored on one or more relational database systems, and where a distributed architecture comprising of high-performance compute servers or a network of low-cost, commodity processors, is used to improve application performance, provide better quality data mining models, and for overall workload management. The approach relies on an algorithmic decomposition of the data mining kernel on the data and compute grids, which provides a simple way to exploit the parallelism on the respective grids, while minimizing the data transfer between them. The overall approach is compatible with existing standards for data mining task specification and results reporting in databases, and hence applications using these standards-based interfaces do not require any modification to realize the benefits of this grid-based approach.

The present invention extends to methods, systems, and computer program products for using templates to configure cloud resources. Embodiments of the invention include encapsulating cloud configuration information in an importable / exportable node template. Node templates can also be used to bind groups of nodes to different cloud subscriptions and cloud service accounts. Accordingly, managing the configuration of cloud based resources can be facilitated through an interface at a (e.g., high performance) computing component. Templates can also specify a schedule for starting / stopping instance running within a resource cloud.

A display module includes a sealed, heat conductive housing, a display screen secured to the housing by spaced, resilient mounting members, a touch responsive screen separated from the display screen by a narrow air gap, an airtight seal between a peripheral lip of the housing and the touch responsive screen, and a fan in the housing to circulate a fluid through the gap.

The virtual supercomputer is an apparatus, system and method for generating information processing solutions to complex and / or high-demand / high-performance computing problems, without the need for costly, dedicated hardware supercomputers, and in a manner far more efficient than simple grid or multiprocessor network approaches. The virtual supercomputer consists of a reconfigurable virtual hardware processor, an associated operating system, and a set of operations and procedures that allow the architecture of the system to be easily tailored and adapted to specific problems or classes of problems in a way that such tailored solutions will perform on a variety of hardware architectures, while retaining the benefits of a tailored solution that is designed to exploit the specific and often changing information processing features and demands of the problem at hand.

A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate / optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate / optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

A remote high-performance computing material joining and material forming modeling system (100) enables a remote user (10) using a user input device (20) to use high speed computing capabilities to model materials joining and material forming processes. The modeling system (100) includes an interface module (200), an application module (300), a computing module (400), and a scheduling module (500). The interface module (200) is in operative communication with the user input device (20), as well as the application module (300), the computing module (400), and the scheduling module (500). The application module (300) is in operative communication with the interface module (200) and the computing module (400). The scheduling module (500) is in operative communication with the interface module (200) and the computing module (400). Lastly, the computing module (400) is in operative communication with the interface module (200), the application module (300), and the scheduling module (500).

The invention discloses a distributed file system metadata management method facing to high-performance calculation. The method comprises the following steps of: 1) establishing a catalogue metadata server cluster, a file metadata server cluster and an object storage server cluster; 2) establishing a global counting-based bloom filter in the catalogue metadata server cluster; 3) when the operation request of a client side arrives, skipping to execute step 4) or 5); 4) enabling the catalogue metadata server cluster to respond to the catalogue operation request of the client side to manage the catalogue metadata; and 5) enabling the file metadata server cluster to respond to the file operation request of the client side to manage the file metadata data. According to the distributed file system metadata management method disclosed by the invention, the metadata transferring problem brought by catalogue renaming can be effectively solved, and the distributed file system metadata management method has the advantages of high storage performance, small maintenance expenditure, high load, no bottleneck, good expansibility and balanced load.

A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate / optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

The invention discloses a multimedia resource processing method based on speech recognition and an online teaching system thereof. The method comprises the steps: audio and video frequencies are collected simultaneously and data are processed to process audio documents into a speech recognizable format; the audio documents are imposed with the speech recognition to generate script documents and with automatic generation and synchronization of Chinese captions with the video documents; and a content retrieval is imposed on the video documents, an automatic story segmentation based on the content is imposed on the script documents of the audio documents which are stored into the video database after being matched and labeled. The multimedia resource processing method based on the speech recognition and the online teaching system thereof are applied with the automatic processing technology of the multimedia resources, greatly increase the processing speed of such information as captions and the like by the use of high-performance computation of the computer, and reduce the participation degree of manual processing, thus accelerating the video manufacturing process and improving the work efficiency.

A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate / optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

A system for data migration between high performance computing architectures and data storage disks includes an intermediate data migration handling system which has an intermediate data storage module coupled to the computer architecture to store data received, and a data controller module which includes data management software supporting the data transfer activity between the intermediate data storage module and the disk drives in an orderly manner independent of the random I / O activity of the computer architecture. RAID calculations are performed on the data prior to storage in the intermediate storage module, as well as when reading data from it for assuring data integrity, and carrying out reconstruction of corrupted data. The data transfer to the disk drives is actuated in sequence determined by the data management software based on minimization of seeking time, tier usage, predetermined time since the previous I / O cycle, or fullness of the intermediate data storage module. The storage controller deactivates the disk drives which are not needed for the data transfer.

A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate / optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

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.

A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate / optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate / optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

The present invention provides for reduced message-passing protocol communication overhead between a plurality of high performance computing (HPC) cluster computing nodes. In particular, HPC cluster performance and MPI host-to-host functionality, performance, scalability, security, and reliability can be improved. A first information handling system host, and its associated network interface controller (NIC) is enabled with a lightweight implementation of a message-passing protocol, which does not require the use of intermediate protocols. A second information handling system host, and its associated NIC is enabled with the same lightweight message-passing protocol implementation. A high-speed network switch, likewise enabled with the same lightweight message-passing protocol implementation, interconnected to the first host and the second host, and potentially to a plurality of like hosts and switches, can create an HPC cluster network capable of higher performance and greater scalability.

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.

A data migration system supports a low-latency and reduced overhead data storage protocol for data storage sharing in a non-collision fashion which does not require inter-communication and permanent arbitration between data storage controllers to decide on the data placement / routing. The multiple data fragments of data sets are prevented from routing to the same storage devices by a multi-step selection protocol which selects (in a first phase of the selection routine) a healthy highest ranked drive enclosure, and further selects (in a second phase of the selection routine) a healthy highest-ranked data storage controller residing in the selected drive enclosure, for routing data fragments to different storage pools assigned to the selected data storage devices for exclusive “writing” and data modification. The selection protocol also contemplates various failure scenarios in a data placement collision free manner.

The present invention relates to a data processing system comprising both a high performance computing sub-system having typical high power consumption and a low performance subsystem requiring less power. The data processing system acts as a single computing device by moving the execution of software from the low performance subsystem to the high performance subsystem when high computing power is needed and vice versa when low computing performance is sufficient, allowing in the latter case to put the high performance subsystem into a power saving state. The invention relates also to related algorithms.

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.

A technique for operating a high performance computing (HPC) cluster includes monitoring workloads of multiple processors included in the HPC cluster. The HPC cluster includes multiple nodes that each include two or more of the multiple processors. One or more threads assigned to one or more of the multiple processors are moved to a different one of the multiple processors based on the workloads of the multiple processors.

A technique for operating a high performance computing cluster includes monitoring workloads of multiple processors. The high performance computing cluster includes multiple nodes that each include two or more of the multiple processors. Workload information for the multiple processors is periodically updated in respective local job tables maintained in each of the multiple nodes. Based on the workload information in the respective local job tables, one or more threads are periodically moved to a different one of the multiple processors.