140 results about "Parallel programing" patented technology

A memory device and a method thereof allow programming and sensing a plurality of memory cells in parallel in order to minimize errors caused by coupling from fields of neighboring cells and to improve performance. The memory device and method have the plurality of memory cells linked by the same word line and a read / write circuit is coupled to each memory cells in a contiguous manner. Thus, a memory cell and its neighbors are programmed together and the field environment for each memory cell relative to its neighbors during programming and subsequent reading is less varying. This improves performance and reduces errors caused by coupling from fields of neighboring cells, as compared to conventional architectures and methods in which cells on even columns are programmed independently of cells in odd columns.

In a non-volatile memory, the displacement current generated in non-selected word lines that results when the voltage levels on an array's bit lines are changed can result in disturbs. Techniques for reducing these currents are presented. In a first aspect, the number of cells being simultaneously programmed on a word line is reduced. In a non-volatile memory where an array of memory cells is composed of a number of units, and the units are combined into planes that share common word lines, the simultaneous programming of units within the same plane is avoided. Multiple units may be programmed in parallel, but these are arranged to be in separate planes. This is done by selecting the number of units to be programmed in parallel and their order such that all the units programmed together are from distinct planes, by comparing the units to be programmed to see if any are from the same plane, or a combination of these. In a second, complementary aspect, the rate at which the voltage levels on the bit lines are changed is adjustable. By monitoring the frequency of disturbs, or based upon the device's application, the rate at which the bit line drivers change the bit line voltage is adjusted. This can be implemented by setting the rate externally, or by the controller based upon device performance and the amount of data error being generated.

In the file storage system, each portion belonging to a data file is identified by its file ID and an offset along the data file, where the offset is a constant for the file and every file data portion is always kept at the same position within a memory page to be read or programmed in parallel. In this way, every time a page containing a file portion is read and copy to another page, the data in it is always page-aligned, and each bit within the file portion can always be manipulated by the same sense amplifier and same set data latches within the same memory column. In a preferred implementation, the page alignment is such that (offset within a page)=(data offset within a file) MOD (page size). Any gaps that may exist in page can be padded with any existing page-aligned valid data.

GridBatch provides an infrastructure framework that hides the complexities and burdens of developing logic and programming application that implement detail parallelized computations from programmers. A programmer may use GridBatch to implement parallelized computational operations that minimize network bandwidth requirements, and efficiently partition and coordinate computational processing in a multiprocessor configuration. GridBatch provides an effective and lightweight approach to rapidly build parallelized applications using economically viable multiprocessor configurations that achieve the highest performance results.

In the file storage system, each portion belonging to a data file is identified by its file ID and an offset along the data file, where the offset is a constant for the file and every file data portion is always kept at the same position within a memory page to be read or programmed in parallel. In this way, every time a page containing a file portion is read and copy to another page, the data in it is always page-aligned, and each bit within the file portion can always be manipulated by the same sense amplifier and same set data latches within the same memory column. In a preferred implementation, the page alignment is such that (offset within a page)=(data offset within a file) MOD (page size). Any gaps that may exist in page can be padded with any existing page-aligned valid data.

In a non-volatile memory, the displacement current generated in non-selected word lines that results when the voltage levels on an array's bit lines are changed can result in disturbs. Techniques for reducing these currents are presented. In a first aspect, the number of cells being simultaneously programmed on a word line is reduced. In a non-volatile memory where an array of memory cells is composed of a number of units, and the units are combined into planes that share common word lines, the simultaneous programming of units within the same plane is avoided. Multiple units may be programmed in parallel, but these are arranged to be in separate planes. This is done by selecting the number of units to be programmed in parallel and their order such that all the units programmed together are from distinct planes, by comparing the units to be programmed to see if any are from the same plane, or a combination of these. In a second, complementary aspect, the rate at which the voltage levels on the bit lines are changed is adjustable. By monitoring the frequency of disturbs, or based upon the device's application, the rate at which the bit line drivers change the bit line voltage can be adjusted. This can be implemented by setting the rate externally, or by the controller based upon device performance and the amount of data error being generated.

The invention provides a similar web page duplicate-removing system based on a parallel programming mode, comprises a web page content pre-processing module, a web page eigenvector extracting module,a web page feature fingerprint calculation module, a web page fingerprint on-line duplicate-removing module, a web page fingerprint distributed batch duplicate-removing module and a computing platformbased on specific distribution. The system can complete links of carrying out unified conversion of text content encoding, standardization of document structure, web page noise content abortion, thematic content analysis and identification of web pages, lexical segmentation of continuous text content, and the like on the web pages obtained by crawling of web crawlers, thereby forming eigenvectorswhich can present the web pages. Relative algorithms can be used to obtain web page fingerprints which present web page characteristics aiming at the vector. The system provided by the invention accurately and fast detects fully complete repetition or approximate repetition of the web page contents caused by site mirroring, web document transshipment, and the like on the condition of massive amount of data of Internet and completes corresponding repetition-removing works, thereby enhancing the storage efficiency of search engines and bringing better use experience for the search engines.

A system and method for supporting collective communications on a plurality of processors that use different parallel programming paradigms, in one aspect, may comprise a schedule defining one or more tasks in a collective operation an executor that executes the task, a multisend module to perform one or more data transfer functions associated with the tasks, and a connection manager that controls one or more connections and identifies an available connection. The multisend module uses the available connection in performing the one or more data transfer functions. A plurality of processors that use different parallel programming paradigms can use a common implementation of the schedule module, the executor module, the connection manager and the multisend module via a language adaptor specific to a parallel programming paradigm implemented on a processor.

Presented are embodiments of methods and systems for library-based compilation and dispatch to automatically spread computations of a program across heterogeneous cores in a processing system. The source program contains a parallel-programming keyword, such as mapreduce, from a high-level, library-oriented parallel programming language. The compiler inserts one or more calls for a generic function, associated with the parallel-programming keyword, into the compiled code. A runtime library provides a predicate-based library system that includes multiple hardware specific implementations (“variants”) of the generic function. A runtime dispatch engine dynamically selects the best-available (e.g., most specific) variant, from a bundle of hardware-specific variants, for a given input and machine configuration. That is, the dispatch engine may take into account run-time availability of processing elements, choose one of them, and then select for dispatch an appropriate variant to be executed on the selected processing element. Other embodiments are also described and claimed.

GridBatch provides an infrastructure framework that hides the complexities and burdens of developing logic and programming application that implement detail parallelized computations from programmers. A programmer may use GridBatch to implement parallelized computational operations that minimize network bandwidth requirements, and efficiently partition and coordinate computational processing in a multiprocessor configuration. GridBatch provides an effective and lightweight approach to rapidly build parallelized applications using economically viable multiprocessor configurations that achieve the highest performance results.

A system and methods are disclosed for executing a technical computing program in parallel in multiple execution environments. A program is invoked for execution in a first execution environment and from the invocation the program is executed in the first execution environment and one or more additional execution environments to provide for parallel execution of the program. New constructs in a technical computing programming language are disclosed for parallel programming of a technical computing program for execution in multiple execution environments. It is also further disclosed a system and method for changing the mode of operation of an execution environment from a sequential mode to a parallel mode of operation and vice-versa.

The invention discloses a thread for high-performance computer NUMA perception and a memory resource optimizing method and system. The system comprises a runtime environment detection module used for detecting hardware resources and the number of parallel processes of a calculation node, a calculation resource distribution and management module used for distributing calculation resources for parallel processes and building the mapping between the parallel processes and the thread and a processor core and physical memory, a parallel programming interface, and a thread binding module which is used for providing the parallel programming interface, obtaining a binding position mask of the thread according to mapping relations and binding the executing thread to a corresponding CPU core. The invention further discloses a multi-thread memory manager for NUMA perception and a multi-thread memory management method of the multi-thread memory manager. The manager comprises a DSM memory management module and an SMP module memory pool which manage SMP modules which the MPI processes belong to and memory distributing and releasing in the single SMP module respectively, the system calling frequency of the memory operation can be reduced, the memory management performance is improved, remote site memory access behaviors of application programs are reduced, and the performance of the application programs is improved.

The invention discloses a multi-level parallel programming method and relates to the field of parallel programming model, mode and method. The method fully combines the characteristics of a mixed hardware architecture, has obvious effect of improving the utilization rate of a group hardware environment, helps developers simplify the parallel programming and multiplex the existing parallel codes, reduces the programming complexity and the error rate through inter-process and intra-process processing and further reduces the error rate by taking fault tolerance into full consideration.

A storage system and method for operating the storage system that uses reversible resistance-switching elements is described. Techniques are disclosed herein for varying programming conditions to account for different resistances that memory cells have. These techniques can program memory cells in fewer attempts, which can save time and / or power. Techniques are disclosed herein for achieving a high programming bandwidth while reducing the worst case current and / or power consumption. In one embodiment, a page mapping scheme is provided that programs multiple memory cells in parallel in a way that reduces the worst case current and / or power consumption.

The invention discloses a method for parallel execution of particle swarm optimization algorithm on multiple computers. The method comprises the initialization step, the evaluation and adjustment step, the step of judging termination conditions and the termination and output step, wherein the evaluation and adjustment is the part for realizing parallel computation through parallel programming of MPI plus OpenMP. The method carries out parallelization on the operations of updating particles and evaluating particles in the particle swarm optimization algorithm by combining with the existing MPI plus OpenMP multi-core programming method according to the independence before and after updating the particle swarm optimization algorithm. The invention adopts a master-slave parallel programming mode for solving the problem of too slow speed of running the particle swarm optimization algorithm on the single computer in the past and accelerating the speed of the particle swarm optimization algorithm, thereby greatly expanding the application value and the application field of the particle swarm optimization algorithm.

GridBatch provides an infrastructure framework that hides the complexities and burdens of developing logic and programming application that implement detail parallelized computations from programmers. A programmer may use GridBatch to implement parallelized computational operations that minimize network bandwidth requirements, and efficiently partition and coordinate computational processing in a multiprocessor configuration. GridBatch provides an effective and lightweight approach to rapidly build parallelized applications using economically viable multiprocessor configurations that achieve the highest performance results.

A method of dynamic parallelization for programs in systems having at least two processors includes examining computer code of a program to be performed by the system, determining a largest possible parallel region in the computer code, classifying data to be used by the program based on a usage pattern and initiating multiple, concurrent processes to perform the program. The multiple, concurrent processes ensure a baseline performance that is at least as efficient as a sequential performance of the computer code.

One embodiment of the present invention provides a system that supports parallelized generic reduction operations in a parallel programming language, wherein a reduction operation is an associative operation that can be divided into a group of sub-operations that can execute in parallel. During operation, the system detects generic reduction operations in source code. In doing so, the system identifies a set of reduction variables upon which the generic reduction operation will operate, along with a set of initial values for the variables. The system additionally identifies a merge operation that merges partial results from the parallel generic reduction operations into a final result. The system then compiles the program's source code into a form which facilitates executing the generic reduction operations in parallel. By supporting the parallel execution of such generic reduction operations in this way, the present invention extends parallel execution for reduction operations beyond basic commutative and associative operations such as addition and multiplication.

A group of memory cells is programmed respectively to their target states in parallel using a multiple-pass programming method in which the programming voltages in the multiple passes are correlated. Each programming pass employs a programming voltage in the form of a staircase pulse train with a common step size, and each successive pass has the staircase pulse train offset from that of the previous pass by a predetermined offset level. The predetermined offset level is less than the common step size and may be less than or equal to the predetermined offset level of the previous pass. Thus, the same programming resolution can be achieved over multiple passes using fewer programming pulses than conventional method where each successive pass uses a programming staircase pulse train with a finer step size. The multiple pass programming serves to tighten the distribution of the programmed thresholds while reducing the overall number of programming pulses.

The invention relates to a user description based programming design method on an embedded heterogeneous multi-core processor. The method includes the steps that a user configures a guide through an image interface to perform description of a heterogeneous multi-core processor platform and a task, a parallel mode is set, an element task is established and registered, a task relation graph (directed acyclic graph (DAG)) is generated, the element task is subjected to a static assignment on the heterogeneous multi-core processor, and processor platform characteristics, parallel demands and task assignment are expressed in a configuration file mode (extensible markup language (XML)). Then the element task after a configuration file is subjected to a parallel analysis is embedded into a position of a heterogeneous multi-core framework code task label, a corresponding serial source program is constructed, a serial compiler is invoked, and finally an executable code on the heterogeneous multi-core processor can be generated. By means of the user description based programming design method on the embedded heterogeneous multi-core processor, parallel programming practices such as developing a parallel compiler on a general personal computer (PC) or a high-performance computing platform, establishing a parallel programming language and porting a parallel library are effectively avoided, the difficulty of developing a parallel program on the heterogeneous multi-core processor platform in the embedded field is greatly reduced, the purpose of parallel programming based on the user description and parallelization interactive guide is achieved.

The invention relates to a parallel programming method oriented to data intensive application based on multiple data architecture centers. The method comprises the following steps of: constructing a main node of system architecture, constructing a sub node of the system architecture, performing loading, performing execution and the like. The parallel programming method has the advantages that a technicist in the field of a large scale of data intensive scientific data does not need to know well a parallel calculation mode based on multiple data centers and does not need to have a MapReduce and multi-point interface (MPI) parallel programming technology relevant to high-performance calculation; a plurality of distributed clusters are simply configured, and a MapReduce calculation task is loaded to the distributed clusters; the hardware and software collocation of the existing cluster system is not required to be changed, and the architecture can quickly parallel the data intensive application based on the MapReduce programming model on multiple data centers; and therefore, relatively high parallelization efficiency is achieved, and the processing capacity of the large-scale distributed data intensive scientific data can be greatly improved.

A method and system are disclosed herein for performing operations on a parallel programming unit in a memory system. The parallel programming unit includes multiple physical structures (such as memory cells in a row) in the memory system that are configured to be operated on in parallel. The method and system perform a first operation on the parallel programming unit, the first operation operating on only part of the parallel programming unit and not operating on a remainder of the parallel programming unit, set a pointer to indicate at least one physical structure in the remainder of the parallel programming unit, and perform a second operation using the pointer to operate on no more than the remainder of the parallel programming unit. In this way, the method and system may realign programming to the parallel programming unit when partial writes to the parallel programming unit occur.