606 results about "Performance computing" patented technology

A method for a computer network includes sending a first request from a web client for resolving a first web address of a web page to a client DNS server, sending the first request from the client DNS server to a POP DNS server within a POP server network, using a probe server in the POP server network to determine traffic loads of a plurality of customer web servers, each of the customer web servers storing the web page, using the POP DNS server to determine a customer web server from the plurality of customer web servers, the customer web server having a traffic load lower than traffic loads of other customer web servers in the plurality of customer web servers, requesting the web page from the customer web server, the web page including static content represented by an embedded URL, sending the web page from the customer web server to the web client, sending a second request from the web client for resolving the URL to the client DNS server. sending the second request from the client DNS server to the POP DNS server within a POP server network, using the probe server to determine service metrics of a plurality of web caches within the POP server network, using the POP DNS server to determine a web cache from the plurality of web caches, the web cache having service metrics more appropriate for the second request than service metrics of other web caches in the plurality of web caches, requesting the static content from the web cache, sending the static content to the web client, and outputting the static content with the web client.

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).

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.

Methods, apparatus, and computer program products are disclosed for debugging a high performance computing program by gathering lists of addresses of calling instructions for a plurality of threads of execution of the program, assigning the threads to groups in dependence upon the addresses, and displaying the groups to identify defective threads.

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.

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 discloses a mapreduce-based multi-GPU (Graphic Processing Unit) cooperative computing method, which belongs to the application field of computer software. Corresponding to single-layer parallel architecture of common high-performance GPU computing and MapReduce parallel computing, a programming model adopts a double-layer GPU and MapReduce parallel architecture to help a developer simplify the program model and multiplex the existing concurrent codes through a MapReduce program model with cloud computing concurrent computation by combining the structure characteristic of a GPU plus CPU (Central Processing Unit) heterogeneous system, thus reducing the programming complexity, having certain system disaster tolerance capacity and reducing the dependency of equipment. According to the computing method provided by the invention, the GPU plus MapReduce double concurrent mode can be used in a cloud computing platform or a common distributive computing system so as to realize concurrent processing of MapReduce tasks on a plurality of GPU cards.

The computer system includes monitoring node, dispatch node, computation node (CN), data server, and client. The monitoring node receives applied engineering (AE) description file submitted by client, manages and monitors state of the dispatch node and accomplished condition of each task cluster. The dispatch node dispatches tasks to dominative each CN, monitors state of each CN, and accomplished condition of task. CN receives and calculates task dispatched by the dispatch node, reports accomplished condition of task, and carries out data exchange with data server. The data server stores data of backed AE, processes data request from the client and CN. Client submits initial AE, manages start up running of main task, and obtains final result of application. Features are: good generality, crossing platform, convenient programming, good fault tolerant and expansibility, and overcoming disadvantages of former voluntary computation system.

An intelligent card supporting high performance calculation and large-capacity storage as well as high speed transmission is prepared for connecting power supply management unit with two base pins and connecting microcontroller unit to the other six base pins according to base pin code defined by ISO / IEC 7816-3 protocol, connecting expansion storage unit separately to power supply management unit and microcontroller unit.

The invention relates to a load balance and node state monitoring method in high performance computing. The method is suitable for reducing resources which occupy a clustering system, increasing the utilization rate of the resources, effectively improving the performance of server clustering and providing high-quality service for a user. The method concretely comprises the steps that firstly, according to the operation state and load and performance parameters of server nodes, computing is performed to obtain load weights of all the nodes, and an alternative node set for next task distribution is selected; afterwards, according to load difference values and distribution probabilities, the probabilities of all node distribution tasks in the alternative node set are computed, and new requests are distributed to the selected nodes in a random probability distribution mode to solve the problem of uneven load distribution; finally, based on a load correction formula, node loads of the distribution tasks are corrected to improve the load balance effect and improve the reliability and stability of the cluster system.