577 results about "Distributed memory" patented technology

A powerful, scaleable, and reconfigurable image processing system and method of processing data therein is described. This general purpose, reconfigurable engine with toroidal topology, distributed memory, and wide bandwidth I/O are capable of solving real applications at real-time speeds. The reconfigurable image processing system can be optimized to efficiently perform specialized computations, such as real-time video and audio processing. This reconfigurable image processing system provides high performance via high computational density, high memory bandwidth, and high I/O bandwidth. Generally, the reconfigurable image processing system and its control structure include a homogeneous array of 16 field programmable gate arrays (FPGA) and 16 static random access memories (SRAM) arranged in a partial torus configuration. The reconfigurable image processing system also includes a PCI bus interface chip, a clock control chip, and a datapath chip. It can be implemented in a single board. It receives data from its external environment, computes correspondence, and uses the results of the correspondence computations for various post-processing industrial applications. The reconfigurable image processing system determines correspondence by using non-parametric local transforms followed by correlation. These non-parametric local transforms include the census and rank transforms. Other embodiments involve a combination of correspondence, rectification, a left-right consistency check, and the application of an interest operator.

A method (and system) for managing a distributed-memory parallel application running on multiple servers, includes dynamically moving a plurality of executable program components, where each of the plurality of executable program components are running on one of a plurality of virtual machines, using migration of the virtual machines between physical servers. The load balancing is operated based on a workload of each of the virtual machines and servers, where a virtual machine, or a plurality of virtual machines, are transferred to balance the workload between each of the servers.

A method and system for interconnecting peripherals, processor nodes, and hardware devices to a data network to produce a network bus providing OS functionality for managing hardware devices connected to the network bus involves defining a network bus driver at each of the processor nodes that couples hardware device drivers to a network hardware abstraction layer of the processor node. The network bus can be constructed to account for the hot-swappable nature of the hardware devices using a device monitoring function, and plug and play functionality for adding and, removing device driver instances. The network bus can be used to provide a distributed processing system by defining a shared memory space at each processor node. Distributed memory pages are provided with bus-network-wide unique memory addresses, and a distributed memory manager is added to ensure consistency of the distributed memory pages, and to provide a library of functions for user mode applications.

A sensor network collects time-series data from a process tool and supplies the data to an analysis system where pattern analysis techniques are used to identify structures and to monitor subsequent data based on analysis instructions or a composite model. Time-series data from multiple process runs are used to form a composite model of a data structure including variation. Comparison with the composite model gives an indication of tool health. A sensor network may have distributed memory for easy configuration.

A fully-parallelized, highly-efficient compositional implicit hydrocarbon reservoir simulator is provided. The simulator is capable of solving giant reservoir models, of the type frequently encountered in the Middle East and elsewhere in the world, with fast turnaround time. The simulator may be implemented in a variety of computer platforms ranging from shared-memory and distributed-memory supercomputers to commercial and self-made clusters of personal computers. The performance capabilities enable analysis of reservoir models in full detail, using both fine geological characterization and detailed individual definition of the hydrocarbon components present in the reservoir fluids.

A portable communication apparatus for match-making with a plurality of remote communication apparatuses has memory means adapted to store match-making data, including local match-making data associated with the portable communication apparatus. A transceiver is adapted for wireless communication with a first remote communication apparatus, so as to transmit the local match-making data to the first remote communication apparatus, as well as to receive first remote match-making data associated with the first remote communication apparatus. A processing device is adapted to perform a correlation analysis between the local match-making data and the first remote match-making data and-in case a result of the correlation analysis indicates a match between the portable communication apparatus and the first remote communication apparatus-provide an alert to a user of the portable communication apparatus. The memory means is adapted to store the first remote match-making data, and the transceiver is adapted to transmit the first remote match-making data, in addition to the local match-making data, to a second remote communication apparatus.

A data processing system includes a processing unit, a distributed memory including a local memory and a remote memory having differing access latencies, and a cache coupled to the processing unit and to the distributed memory. The cache includes a congruence class containing a plurality of cache lines and a plurality of latency indicators that each indicate an access latency to the distributed memory for a respective one of the cache lines. The cache further includes a cache controller that selects a cache line in the congruence class as a castout victim in response to the access latencies indicated by the plurality of latency indicators. In one preferred embodiment, the cache controller preferentially selects as castout victims cache lines having relatively short access latencies.

The invention discloses an inter-core communicating method of multi-core processor in embedded real time operation system. It includes following steps: distributing memory as multi-core information sharing pool; writing information the source core would send into the pool; sending the information to target core; target core sending the information storing in pool to target mission. The invention also discloses an inter-core communicating device. It improves the inter-core communicating efficiency and realizes the unification of inner core communication and inter-core communication.

Ray tracing scenes is accomplished using a plurality of intersection testing resources coupled with a plurality of shading resources, communicative in the aggregate through links/queues. A queue from testing to shading comprises respective ray/primitive intersection indications, comprising a ray identifier. A queue from shading to testing comprises identifiers of new rays to be tested, wherein data defining the rays is separately stored in memories distributed among the intersection testing resources. Ray definition data can be retained in distributed memories until rays complete intersection testing, and be selected for testing multiple times based on ray identifier. A structure of acceleration shapes can be used. Packets of ray identifiers and shape data can be passed among the intersection testing resources, and each resource can test rays identified in the packet, and for which definition data is present in its memory. Test results for acceleration shapes are used to collect rays against acceleration shapes, and closest detection ray/primitive intersections are indicated by sending ray identifiers to shading resources.

An improved scalability runtime system for a global address space language running on a distributed or shared memory machine uses a directory of shared variables having a data structure for tracking shared variable information that is shared by a plurality of program threads. Allocation and de-allocation routines are used to allocate and de-allocate shared variable entries in the directory of shared variables. Different routines can be used to access different types of shared data. A control structure is used to control access to the shared data such that all threads can access the data at any time. Since all threads see the same objects, synchronization issues are eliminated. In addition, the improved efficiency of the data sharing allows the number of program threads to be vastly increased.

A system for repairing embedded memories on an integrated circuit is disclosed. The system comprises an external Built-In Self-repair Register (BISR) associated with every reparable memory on the circuit. Each BISR is configured to accept a serial input from a daisy chain connection and to generate a serial output to a daisy chain connection, so that a plurality of BISRs are connected in a daisy chain with a fuse box controller. The fuse box controller has no information as to the number, configuration or size of the embedded memories, but determines, upon power up, the length of the daisy chain. With this information, the fuse box controller may perform a corresponding number of serial shift operations to move repair data to and from the BISRs and into and out of a fuse box associated with the controller. Memories having a parallel repair interface are supported by a parallel address bus and enable control signal on the BISR, while those having a serial repair interface are supported by a parallel daisy chain path that may be selectively cycled to shift the contents of the BISR to an internal serial register in the memory. Preferably, each of the BISRs has an associated repair analysis facility having a parallel address bus and enable control signal by which fuse data may be dumped in parallel into the BISR and from there, either uploaded to the fuse box through the controller or downloaded into the memory to effect repairs. Advantageously, pre-designed circuit blocks may provide daisy chain inputs and access ports to effect the inventive system therealong or to permit the circuit block to be bypassed for testing purposes.

The invention discloses a fast data and big data combined data processing method which includes steps: (1) data input of different data sources is received and is classified and transmitted according to fast data and big data; (2) fast data enter a real-time trading module which performs real-time calculation and inquiring on fast data by aid of a distributed memory; (3) a full-text retrieval module performs full-text retrieval according to the fast data result; (4) big data enter a volume historical data analysis module, are stored and are subjected to complete inquiring and statistic analysis; and (5) an application module receives data processed in the step (2), the step (3) and the step (4), and terminal display is carried out as required. The invention further provides a fast data and big data combined data processing system. The fast data and big data combined data processing method and system are low in cost and convenient to maintain, resources are distributed according to needs, and the performance is linearly expanded.

The invention discloses a mixed type processing system and method oriented to industry big data diversity application. The system comprises a distributed data collection subsystem used for collecting data from an external system, a storing and parallel calculating subsystem used for storing and calculating the collected data, and an integrated resource and system management platform used for managing the stored and calculated data. The storing and parallel calculating subsystem comprises a big data storing subsystem and a big data processing subsystem, wherein the big data processing subsystem comprises a memory calculating engine which is used for providing distributed memory abstract in a shared-nothing cluster and conducting parallel streamlined and thread lightweight processing on the collected data. The mixed type processing system and method can meet the requirements of industry big data diversity service application, the big data processing performance can be improved by ten or more times through acceleration of the memory calculating engine, and the usability, reliability and expandability of the system can be ensured through the integrated management platform.

The invention discloses a realization method for NUMA (Non-Uniform Memory Access) structure based on distributed hardware-assisted memory virtualization. The method comprises the following four steps: step one, preparation stage; step two, normal work stage; step three, NUMA processing local request stage; and step four, NUMA processing remote request stage. The invention adopts the latest hardware-assisted memory virtualization technology and the distributed shared storage algorithm, provides a NUMA-structure shared single physical address space, and realizes the transparent and unified management to the multi-host memory resource by a guest operation system, so as to reduce the complexity of the application programming and increase the usability of system resource. Furthermore, the invention has the advantages of favorable use and development prospects.

The invention discloses a query engine system and a query method of a distributive memory column-oriented database. The query method comprises the following steps that a resource management module determines a conversation with a user in charge by a main query engine; the main query engine converts SQL (structured query language) sent by the user into a query plan; the resource management module allocates a sub query engine for the main query engine; the main query engine divides the query plan into at least two sub tasks and allocates sub query engine for each sub task; after the execution of the precursor sub tasks of the current sub task is completed, the current sub task is executed; middle data generated after the execution of the current sub task is completed is transmitted to the sub query engine in which the subsequent sub tasks are located; the current sub task completion state is sent to the main query engine; the main query engine notifies a customer to obtain final result data from the sub query engine. The query engine system and query method of the distributive memory column-oriented database provided by the invention have the advantage that good query efficiency can be obtained.

Systems and methods for managing and evaluating a social network. The social network is represented as a graph structure and stored in distributed memory. A viable path from one node that is not directly connected to another node in the graph structure may be determined by traversing the graph in stages, moving outward from each node in stages until common midpoint nodes are found providing a connection between the nodes. When midpoint nodes are found, the paths connecting the one node to the other node may be reconstructed.

The invention relates to a graph data storage method and system based on distributed memory cloud. The system comprises a graph service layer which is used for allocating virtual nodes to each serverin the distributed memory cloud, mapping the virtual nodes to a Hash ring according to Hash values of the virtual nodes, storing a mapping relationship as a Hash mapping table, obtaining graph data stored by each server, searching the Hash values of the graph data on the Hash mapping table, storing the graph data to the corresponding virtual nodes, allocating new virtual nodes to new serves in thedistributed memory cloud when the new servers are increased, updating the Hash mapping table, adding the new virtual nodes to the Hash ring according to the Hash values of the new virtual nodes, andcarrying out data migration on each virtual node in the Hash ring according to the Hash values of the graph data stored by the virtual nodes and the updated Hash mapping table. Through utilization ofa consistent Hash algorithm, the method and the system support dynamic expansion, the nodes can be increased or deleted, and the loss can be reduced as much as possible when faults occur in the nodes.

The present invention discloses a memory distributing, clearing and releasing method and also discloses a memory management device which comprises a memory distributing module used for applying and distributing memory blocks for the memory from a vacant queue with most proper size, a fragment recovering module which is used for recovering internal chips which are produced when the memory is distributed and plugs the internal chips into different vacant queue and a memory combining module which is used for combining the memory blocks when a maximum vacant memory block can not satisfy the memory application. The present invention distributes the memory application according to need and can reduce the internal chips. The released memory blocks are processed for prolonging combination, and memory vibration caused by frequent cleavage and combination can be avoided, thereby reducing the cost for the frequent cleavage and combination of a system and improving the performance of the system.

The invention discloses a real-time log collection and analysis method on the basis of a B2B (Business to Business) platform. The method comprises the following steps of 1) taking access logs and system logs in the B2B platform as a data source, collecting data of the data source in real time, and storing the data in a register; 2) processing the data through a log parser, and parsing the data according to different formats; 3) collecting log data through a log collector; 4) defining a plurality of subtypes of one type, wherein the subtypes are distributed on nodes of a plurality of servers in a cluster; 5) caching the data of the collector through a distributed memory; 6) processing the data through a distributed calculator; 7) outputting a processing result to a database through the distributed calculator. The real-time log collection and analysis method on the basis of the B2B platform provided by the invention has the advantages that the data are collected in real time and are calculated in parallel in a big data concurrency process, a significant effect in the real-time analysis is achieve, and an obvious advantage in the real-time calculation is obtained.