176 results about "Memory load" patented technology

A programmable agent and method for managing prefetch queues provide dynamically configurable handling of priorities in a prefetching subsystem for providing look-ahead memory loads in a computer system. When it's queues are at capacity an agent handling prefetches from memory either ignores new requests, forces the new requests to retry or cancels a pending request in order to perform the new request. The behavior can be adjusted under program control by programming a register, or the control may be coupled to a load pattern analyzer. In addition, the behavior with respect to new requests can be set to different types depending on a phase of a pending request.

To provide a memory access control system in which partitions, which are divided memory areas generated in a device, can be independently managed. In response to access to the divided memory areas, which are a plurality of partitions, various types of access control tickets are issued under the management of each device or partition manager, and processing based on rules indicated in each ticket is performed in a memory-loaded device. A memory has a partition, which serves as a memory area managed by the partition manager, and a device manager management area managed by the device manager. Accordingly, partition authentication and device authentication can be executed according to either a public-key designation method or a common-key designation method.

The invention discloses a multi-queue peak-alternation scheduling model and a multi-queue peak-alteration scheduling method based on task classification in cloud computing. The multi-queue peak-alternation scheduling model is characterized by comprising a task manager, a local resource manager, a global resource manager and a scheduler. The multi-queue peak-alternation scheduling method comprises the following steps: firstly, according to demand conditions of a task to resources, dividing tasks into a CPU (central processing unit) intensive type, an I/O (input/output) intensive type and a memory intensive type; sequencing the resources according to the CPU, the I/O and the memory load condition, and staggering a resource using peak during task scheduling; scheduling a certain parameter intensive type mask to a resource with relatively light index load, scheduling the CPU intensive type mask to the resource with relatively low CPU utilization rate. According to the multi-queue peak-alternation scheduling model and the multi-queue peak-alternation scheduling method disclosed by the invention, load balancing can be effectively realized, scheduling efficiency is improved and the resource utilization rate is increased.

The invention relates to the field of an HDFS of a computer, and discloses a method for storing and processing small log type files in a Hadoop distributed file system (HDFS). According to the method, files are combined in a nearby mode according to physical locations, and a Copy-On-Write mechanism is used for optimizing read-write of the small files; specifically, the small log type files are combined in a nearby mode according to a physical path, a client side reads and writes the combined files from a NameNode and Metadata information of indexes of the combined files when reading and writing the small log type files, and then all the small log type file data are read and written from the combined files according to the indexes of the combined files. According to the new processing method of the small log type files, the memory load of the metadata of the small files are transmitted to the client side from the NameNode, and the problem that when the HDFS processes a large number of small files, efficiency is low is effectively solved. The client side caches the metadata of the small files, so that the speed of access to the small files is improved, and a user does not need to send a metadata request to the NameNode when sequentially accessing small files which are adjacent in physical location.

The invention provides a method and a system for task scheduling. The method comprises the following steps: estimating both the calculated load and memory load of a received task and obtaining the calculated load estimated value and the memory load estimated value; if the proportion of the calculated load estimated value in the sum of both the calculated load estimated value and the memory estimated value is larger than a preset first threshold, scheduling the task to a node in which the present computing power is larger than the preset upper limit value of the computing power and the presentmemory power is smaller than the preset lower limit value of the memory power; and if the proportion of the memory load estimated value in the sum of the calculated load estimated value and the memory load estimated value is larger than a preset second threshold, scheduling the task to a node in which the present memory power is larger than the preset upper limit value of the memory power and thepresent computing power is smaller than the preset lower limit value of the computing power.

A method begins by a processing module identifying a memory loading mismatch between a first memory device and a second memory device of a dispersed storage unit, wherein the first memory device is assigned a first range of slice names and the second memory device is assigned a second range of slice names. The method continues with the processing module determining an estimated impact to reduce the memory loading mismatch and when the estimated impact compares favorably to an impact threshold, modifying the first and second ranges of slices names to produce a first modified range of slice names for the first memory device and a second modified range of slice names for the second memory device based on the memory loading mismatch and transferring one or more encoded data slices between the first and second memory devices in accordance with the first and second modified ranges of slice names.

Administering non-cacheable memory load instructions in a computing environment where cacheable data is produced and consumed in a coherent manner without harming performance of a producer, the environment including a hierarchy of computer memory that includes one or more caches backed by main memory, the caches controlled by a cache controller, at least one of the caches configured as a write-back cache. Embodiments of the present invention include receiving, by the cache controller, a non-cacheable memory load instruction for data stored at a memory address, the data treated by the producer as cacheable; determining by the cache controller from a cache directory whether the data is cached; if the data is cached, returning the data in the memory address from the write-back cache without affecting the write-back cache's state; and if the data is not cached, returning the data from main memory without affecting the write-back cache's state.

Techniques and structures are disclosed for a processor supporting checkpointing to operate effectively in scouting mode while a maximum number of supported checkpoints are active. Operation in scouting mode may include using bypass logic and a set of register storage locations to store and/or forward in-flight instruction results that were calculated during scouting mode. These forwarded results may be used during scouting mode to calculate memory load addresses for yet other in-flight instructions, and the processor may accordingly cause data to be prefetched from these calculated memory load addresses. The set of register storage locations may comprise a working register file or an active portion of a multiported register file.

A method of handling memory errors. A memory fault indication is received that is true if an error in the memory is detected while executing a memory load request to retrieve a value from the memory. A speculative load indication is received that is true if the memory load request was issued speculatively. If the memory fault indication is true and the speculative load indication is true, then an error indication that the returned value is invalid is provided, otherwise, error recovery is performed.

A cache pollution avoidance unit includes a dynamic memory dependency table for storing a dependency state condition between a first load instruction and a sequentially later second load instruction, which may depend on the completion of execution of the first load instruction for operand data. The cache pollution avoidance unit logically ANDs the dependency state condition stored in the dynamic memory dependency table with a cache memory “miss” state condition returned by the cache pollution avoidance unit for operand data produced by the first load instruction and required by the second load instruction. If the logical ANDing is true, memory access to the second load instruction is squashed and the execution of the second load instruction is re-scheduled.

The invention discloses a method and device for achieving automatic classification of calling reasons. The method comprises the steps of obtaining speech flow of clients and a telephone operator, carrying out speech recognition on the speech flow of the clients and the telephone operator to obtain conversation texts, extracting corresponding semantic tag information of the conversation texts, carrying out search in a calling reason index database with the semantic tag information as index to obtain multiple estimated results most proximate to the conversation texts, ranking the estimated results on the basis of a classification model, and confirming calling reason results according to the ranking result. By the adoption of the method and device, memory load and retrieval load of the telephone operator can be relieved, and the accuracy and comprehensiveness of recording of the calling reasons can be improved.

Representative apparatus, method, and system embodiments are disclosed for configurable computing. A representative memory interface circuit comprises: a plurality of registers storing a plurality of tables, a state machine circuit, and a plurality of queues. The plurality of tables include a memory request table, a memory request identifier table, a memory response table, a memory data message table, and a memory response buffer. The state machine circuit is adapted to receive a load request, and in response, to obtain a first memory request identifier from the load request, to store the first memory request identifier in the memory request identifier table, to generate one or more memory load request data packets having the memory request identifier for transmission to the memory circuit, and to store load request information in the memory request table. The plurality of queues store one or more data packets for transmission.

A system and method of improved task switching in a data processing system. First, a first-level cache memory casts out an invalidated page table entry and an associated first page directory base address to a second-level cache memory. Then, the second-level cache memory determines if a task switch has occurred. If a task switch has not occurred, first-level cache memory sends the invalidated page table entry to a current running task directory. If a task switch has occurred, first-level cache memory loads from the second-level cache directory a collection of page table entries related to a new task to enable improved task switching without requiring access to a page table stored in main memory to retrieve the collection of page table entries.

Method, apparatus, and program means for performing misaligned memory load and copy using aligned memory operations together with a SIMD merge instruction. The method of one embodiment comprises determining whether a memory operation involves a misaligned memory address. The memory operation is performed with aligned memory accesses if the memory operation is determined as not involving a misaligned memory address. The memory operation is performed with an algorithm including a merge operation and aligned memory accesses if the memory operation is determined as involving a misaligned memory address.

The embodiment of the invention provides a virtual machine migration method and device. The method comprises the steps that the memory information of each virtual machine in the machine is acquired; when the load of the machine is too heavy, a virtual machine migration request is generated, and candidate servers and the memory information thereof are acquired; the memory information of each virtual machine and the memory information of the candidate servers are compared, so that the virtual machine needing migration in the machine is determined and a target server is selected from the candidate servers; and the virtual machine needing migration in the machine is migrated to the selected target server. According to the embodiment of the invention, a system has a high memory utilization rate after virtual machine migration; the sharp increasing of a physical memory requirement is avoided; and when the memory load of a server is too heavy, the server can acquire desired idle memory after virtual machine migration.

An apparatus for maintaining a library of program data for medical pumps, the apparatus comprising: memory loaded with a database, the database including a plurality of program data records and a plurality of data key records, each program data record containing a set of program data items, at least some of the program data items included in the database for controlling operation of a medical pump, each data key record containing a data key and each data key identifying one of the data program records; a database management system programmed to link a data key to a set of program data; and a scanner in data communication with the database management system, the database management system being further programmed to receive a code scanned by the scanner, save the code in a data key record, and link the code to a set of program data, the code being a data key.

Methods and apparatuses relating to distributed memory hazard detection and error recovery are described. In one embodiment, a memory circuit includes a memory interface circuit to service memory requests from a spatial array of processing elements for data stored in a plurality of cache banks; and a hazard detection circuit in each of the plurality of cache banks, wherein a first hazard detection circuit for a speculative memory load request from the memory interface circuit, that is marked with a potential dynamic data dependency, to an address within a first cache bank of the first hazard detection circuit, is to mark the address for tracking of other memory requests to the address, store data from the address in speculative completion storage, and send the data from the speculative completion storage to the spatial array of processing elements when a memory dependency token is received for the speculative memory load request.

Methods and devices to augment volatile memory in a graphics subsystem with certain types of non-volatile memory are described. In one embodiment, includes storing one or more static or near-static graphics resources in a non-volatile random access memory (NVRAM). The NVRAM is directly accessible by a graphics processor using at least memory store and load commands. The method also includes a graphics processor executing a graphics application. The graphics processor sends a request using a memory load command for an address corresponding to at least one static or near-static graphics resources stored in the NVRAM. The method also includes directly loading the requested graphics resource from the NVRAM into a cache for the graphics processor in response to the memory load command.

The invention discloses a virtualization-based method and device for adjusting QoS (quality of service) of node memory of NUMA (non uniform memory access architecture). The method includes: by means of acquiring an occupancy state of memory resources, predicting a memory required by every virtual machine in the future according to a certain rule so as to obtain the memory required for the next moment, and determining whether to adjust balance of memory load or not to guarantee the QoS of the memory; in the condition of insufficient memory resource, starting a memory balance adjusting operation, sensing the NUMA node according to a memory quotient proportion of every virtual machine so as to decide from which virtual machines the memory is reclaimed and to which virtual machines the memory is allocated, computing the sizes of reclaimable memory and the allocatable memories, and sending a given optimal memory value of an operation system of every client down to an actual adjusting part. The technical problems that during operation of the virtual machine, the virtual machine cannot sense a memory usage state of the node where the virtual machine currently locates and QoS of the memory cannot be adjusted from an angle of the system and the like are solved.

A resilient device authentication system for use with one or more managed devices each including a physical unclonable function (PUF), comprises: one or more verification authorities (VA) each including a processor and a memory loaded with a complete verification set (CVS) that includes hardware part-specific data associated with the managed devices' PUFs and metadata, the processor configured to create a limited verification set (LVS) through one-way algorithmic transformation of hardware part-specific data together with metadata from the loaded CVS so as to create a LVS representing both metadata and hardware part-specific data adequate to redundantly verify all of the hardware parts associated with the LVS; and one or more provisioning entities (PE) each connectable to a VA and including a processor and a memory loaded with a LVS, and configured to select a subset of the LVS so as to create an application limited verification set (ALVS). The system may also comprise one or more device management systems each connectable to a PE and to managed devices and including a memory configured to store an ALVS. The VA may also be configured to create a replacement LVS.

The present invention discloses a management method for message delivery, a server and a system thereof. The management method has the functions of: reducing memory load of a server, accurately determining whether the message is successively transmitted, and improving message quality. The management method for message delivery according to one embodiment of the invention comprises the following steps: according to delivery order of the messages, storing the messages which are delivered by delivery equipment through a TCP connection, wherein the messages comprise first message; and when the response which is returned from receiving equipment for the first message is received, searching the message with delivery order which is before the delivery order of the first message from the stored messages, confirming success delivery of the searched message and the first message, and removing the searched message and the first message from the stored message.

The invention aims to provide a method for realizing Dex memory loading on the basis of a DexClassLoader. An apk (AndroidPackage)) reinforcement operation is carried out on a PC (Personal Computer); a reinforced application is installed, shelled, loaded and started on an Android terminal; and a reinforced dex structure is completely different from the structure of a traditional dex file and can not be successfully decompiled into a source file with readability. A reinforcement scheme successfully protects the confidentiality of key data so as to perform an anti-decompilation effect, a ZjDroil shelling tool is used for carrying out a shelling operation on the reinforced apk, and the source files and the dex fragments of any source apk can not be obtained. A memory loading process provided by the invention performs a good effect on preventing Java layer Hook, and meanwhile, a phenomenon that a dex plaintext appears on a disk and is robbed by an attacker is avoided. Compared with a traditional disk loading way, the method disclosed by the invention is characterized in that safety is greatly improved.