146 results about "Message Passing Interface" patented technology

A distributed network access system in accordance with the present invention includes at least an external processor and a programmable access device. The programmable access device has a message interface coupled to the external processor and first and second network interfaces through which packets are communicated with a network The programmable access device includes a packet header filter and a forwarding table that is utilized to route packets communication between the first and second network interfaces. In response to receipt of a series of packets, the packet header filter in the programmable access device identifies messages in the series of messages upon which policy-based services are to be implemented and passes identified messages via the message interface to the external processor for processing. In response to receipt of a message, the external processor invokes service control on the message and may also invoke policy control on the message.

An interface device for a compute node in a computer cluster which performs Message Passing Interface (MPI) header matching using parallel matching units. The interface device comprises a memory that stores posted receive queues and unexpected queues. The posted receive queues store receive requests from a process executing on the compute node. The unexpected queues store headers of send requests (e.g., from other compute nodes) that do not have a matching receive request in the posted receive queues. The interface device also comprises a plurality of hardware pipelined matcher units. The matcher units perform header matching to determine if a header in the send request matches any headers in any of the plurality of posted receive queues. Matcher units perform the header matching in parallel. In other words, the plural matching units are configured to search the memory concurrently to perform header matching.

A method or device may optimize applications on a parallel computing system using protocols such as Message Passing Interface (MPI). Environment variables data may be used as well as a test kernel of an application to optimize communication protocol performance according to a set of predefined tuning rules. The tuning rules may specify the output parameters to be optimized, and may include a ranking or hierarchy of such output parameters. Optimization may be achieved through use of a tuning unit, which may execute the test kernel on the parallel computing system, and may monitor the output parameters for a series of input parameters. The input parameters may be varied over a range of values and combinations. Input parameters corresponding to optimized output parameters may stored for future use. This information may be used to adjust the application's communication protocol performance “on the fly” by changing the input parameters for a given usage scenario.

A method, computer program product, and system are provided performing a Message Passing Interface (MPI) job. A first processor chip receives a set of arrival signals from a set of processor chips executing tasks of the MPI job in the data processing system. The arrival signals identify when a processor chip executes a synchronization operation for synchronizing the tasks for the MPI job. Responsive to receiving the set of arrival signals from the set of processor chips, the first processor chip identifies a fastest processor chip of the set of processor chips whose arrival signal arrived first. An operation of the fastest processor chip is modified based on the identification of the fastest processor chip. The set of processor chips comprises processor chips that are in one of a same processor book or a different processor book of the data processing system.

A system and method are provided for performing setup operations for receiving a different amount of data while processors are performing message passing interface (MPI) tasks. Mechanisms for adjusting the balance of processing workloads of the processors are provided so as to minimize wait periods for waiting for all of the processors to call a synchronization operation. An MPI load balancing controller maintains a history that provides a profile of the tasks with regard to their calls to synchronization operations. From this information, it can be determined which processors should have their processing loads lightened and which processors are able to handle additional processing loads without significantly negatively affecting the overall operation of the parallel execution system. As a result, setup operations may be performed while processors are performing MPI tasks to prepare for receiving different sized portions of data in a subsequent computation cycle based on the history.

A system and computer program product for modifying an operation of one or more processors executing message passing interface (MPI) tasks are provided. Mechanisms for adjusting the balance of processing workloads of the processors are provided so as to minimize wait periods for waiting for all of the processors to call a synchronization operation. Each processor has an associated hardware implemented MPI load balancing controller. The MPI load balancing controller maintains a history that provides a profile of the tasks with regard to their calls to synchronization operations. From this information, it can be determined which processors should have their processing loads lightened and which processors are able to handle additional processing loads without significantly negatively affecting the overall operation of the parallel execution system. As a result, operations may be performed to shift workloads from the slowest processor to one or more of the faster processors.

A method for implementing Message Passing Interface (MPI-2) one-sided communication by using Low-level Applications Programming Interface (LAPI) active messaging capabilities, including providing at least three data transfer types, one of which is used to send a message with a message header greater than one packet where Data Gather and Scatter Programs (DGSP) are placed as part of the message header; allowing a multi-packet header by using a LAPI data transfer type; sending the DGSP and data as one message; reading the DSGP with a header handler; registering the DSGP with the LAPI to allow the LAPI to scatter the data to one or more memory locations; defining two sets of counters, one counter set for keeping track of a state of a prospective communication partner, and another counter set for recording activities of local and Remote Memory Access (RMA) operations; comparing local and remote counts of completed RMA operations to complete synchronization mechanisms; and creating a mpci_wait_loop function.

A system and method for providing hardware based dynamic load balancing of message passing interface (MPI) tasks are provided. Mechanisms for adjusting the balance of processing workloads of the processors executing tasks of an MPI job are provided so as to minimize wait periods for waiting for all of the processors to call a synchronization operation. Each processor has an associated hardware implemented MPI load balancing controller. The MPI load balancing controller maintains a history that provides a profile of the tasks with regard to their calls to synchronization operations. From this information, it can be determined which processors should have their processing loads lightened and which processors are able to handle additional processing loads without significantly negatively affecting the overall operation of the parallel execution system. As a result, operations may be performed to shift workloads from the slowest processor to one or more of the faster processors.

The invention discloses a complicated function maximum and minimum solving method by means of a parallel artificial bee colony algorithm based on a computer cluster and belongs to the field of computer parallel computing technique. According to the method, the purpose of complicated function maximum and minimum solving by means of the parallel artificial bee colony algorithm on a plurality of computers is achieved by combination of the method and a message passing interface (MPI) software package in the Linux system. Experimental results show that in a complicated function maximum and minimum solving process, the parallel artificial bee colony algorithm is higher in accuracy and higher in speed than an ordinary serial algorithm, and efficiency of computing function maxima and minima is improved greatly.

The invention discloses an atmospheric correction method and an atmospheric correction module for a satellite remote-sensing image. The atmospheric correction method comprises the following steps of: establishing an atmospheric correction parameter look up table (LUT) by virtue of a 6S (second simulation of a satellite signal in the solar spectrum) radiation transfer model, designing parallel atmospheric correction models driven by a data block and a functional chain by virtue of the master-slave parallel program design mode of a message passing programming model MPI (message passing interface), and then realizing parallel atmospheric correction based on the 6S radiation transfer look up table, thus effectively solving the problems of the time and the accuracy of atmospheric correction for the satellite remote-sensing image. The atmospheric correction method and the atmospheric correction module disclosed by the invention are suitable for operational atmospheric correction for various satellite remote-sensing images.

Parallel Processing Communication Accelerator (PPCA) systems and methods for enhancing performance of a Parallel Processing Environment (PPE). In an embodiment, a Message Passing Interface (MPI) devolver enabled PPCA is in communication with the PPE and a host node. The host node executes at least a parallel processing application and an MPI process. The MPI devolver communicates with the MPI process and the PPE to improve the performance of the PPE by offloading MPI process functionality to the PPCA. Offloading MPI processing to the PPCA frees the host node for other processing tasks, for example, executing the parallel processing application, thereby improving the performance of the PPE.

The present invention discloses a method and device for testing performance of a hard disk of a high-density storage server. The server applied in the method for testing the performance of the hard disk of the high-density storage server comprises N CPUs, wherein N is greater than or equal to 1. The method comprises: dividing a plurality of hard disks to be tested into N sets, wherein each CPU respectively corresponds to one of the N sets of the hard disks to be tested; creating a plurality of test processes according to a parallel programming model of a message passing interface MPI, wherein each test process corresponds to one hard disk to be tested; binding the test progress corresponding to each hard disk to be tested in each set of the hard disks to be tested and the CPUs corresponding to the set of the hard disks to be tested so as to obtain a parallel test model; and testing the plurality of the hard disks to be tested through the parallel test model to obtain a test result. The test method provided by the present invention can ensure the equity of testing each hard disk to be tested, so that the accuracy and the stability of testing the high-density hard disk are improved, and besides the parallel degree during testing is increased.

The invention discloses a parallel computing method for a distributed hydrodynamic model of a large-scale watershed system. The parallel computing method includes performing a parallel algorithm to a distributed numerical model of the large-scale watershed, with regular nets as basic computing elements and partitioned zones as compute nodes. The problem of limited 2G memory array of a win32 program in a large-scale watershed simulation is solved by diving the watershed zone and performing a distributed cluster computing, and the large-scale watershed simulation is fine; based on a distributed message passing model, data are exchanged by establishing adjacent partitioned overlap zones, thus error correction of boundary data of the partitioned node is achieved, and consistency and accuracy of the whole watershed simulation are realized; according to a parallel general protocol integrating OPENMP and MPI (message passing interface), computing parallelization of and in the partitioned nodes is achieved, and efficient fine simulation of the large-scale water shed is realized. By the use of the parallel computing method, the numerical simulation of the hydrodynamic force of the large-scale watershed system is available with low cost and high efficiency and speed.

The invention provides a large-scale parallel processing method of a moving particle semi-implicit method. The method comprises the following steps of: (1) adopting an efficient and easily-paralleled symmetric Lanczos algorithm SLA to solve a pressure poisson equation in the semi-implicit particle method; and (2) adopting parallel models (such as OpenMP, OpenCL) sharing an inner memory and/or a parallel model (MPI (Message Passing Interface)) for transmitting a message, and a mixed model of the parallel models to carry out parallel acceleration algorithm. The moving particle semi-implicit method of the pressure poisson equation is solved by large-scale parallel acceleration requirements and the parallel acceleration effect is obvious.

The invention discloses a message passing interface framework for supporting bus communication, which comprises a byte transfer layer (BTL) in a basic framework of Open MPI open source software, a byte management layer (BML), a point-to-point messaging layer (PML), an MPI application program interface (MPI API), a memory pool (Mpool) and a registration cache (Rcache). The framework also comprises an HT bus communication module (HT BTL) added based on the framework and a called corresponding memory pool (Mpool) in an Open MPI architecture; and communication can be performed in the same or different operating systems of a main board and between different main boards by collocating the priority of an HT BTL module. A Hypertransport bus communication protocol is integrated into the Open MPI architecture by combining a system calling interface provided by the Hypertransport bus communication protocol according to a standard interface provided by the Open MPI open source software. Meanwhile, during MPI process communication, a network using the Hypertransport bus communication protocol has higher priority than other networks. The message passing interface framework for supporting bus communication is innovated based on the conventional mature technology, is simple and convenient to implement, and has good use and development prospect.