757 results about "External storage" patented technology

A parallel processing unit comprises a plurality of processors each being coupled to a memory access hardware circuitry. Each memory access hardware circuitry is configured to receive, from the coupled processor, a memory access request specifying a coordinate of a multidimensional data structure, wherein the memory access hardware circuit is one of a plurality of memory access circuitry each coupled to a respective one of the processors; and, in response to the memory access request, translate the coordinate of the multidimensional data structure into plural memory addresses for the multidimensional data structure and using the plural memory addresses, asynchronously transfer at least a portion of the multidimensional data structure for processing by at least the coupled processor. The memory locations may be in the shared memory of the coupled processor and / or an external memory.

The invention provides a dual-storage system starting method and device. An architecture in which a master control chip SOC works cooperatively with an external memory DDR, a nonvolatile memory SPI NOR and an SD card is adopted. After the SOC is powered on, a BootROM guide code is executed, a system is initialized, ID Blocks containing a DDR initialization program and an SPL secondary loading program are sequentially obtained and verified from multiple storage media, the DDR initialization program is loaded, DDR is initialized, and the SPL secondary loading program is loaded to the DDR to run. The method comprises the following steps of: firstly, loading an SD (Secure Digital) card, then loading U-Boot firmware, completing initialization of residual hardware and security mirror verification, then detecting and verifying a kernel mirror format and Header information in the SD card, then loading a Linux kernel, an equipment tree and a ramdisk, mounting rootfs to an RAM (Random Access Memory) space, and mounting the SD card as a user data storage space. According to the method, high reliability of system guiding is ensured through the SPI NOR, large-capacity storage and flexible upgrading are achieved through the SD card, and the comprehensive performance of the embedded system in the aspects of reliability, storage expansibility and cost effectiveness is remarkably improved.

The invention discloses a method and a system for automatically generating a business APP of a fusion terminal, which are applied to the technical field of smart power grids, and the method comprises the following steps: accessing an external storage device to a target fusion terminal; the management APP of the target fusion terminal obtains basic information of a service APP needing to be generated, and sends the basic information to the packaging APP and the guarding APP; the packaging APP selects a corresponding adaptive template from a template library according to the adaptive data, and performs parameter configuration on the selected adaptive template to form a service APP needing to be generated; the management APP is locally deployed and operated in the target fusion terminal; and the guarding APP maintains the running service APP according to the configuration data. According to the method, code development is not needed, and the service APP is automatically configured and generated; meanwhile, automatic operation and maintenance of the generated service APPs are achieved, the service APPs which are not needed temporarily are directly deleted from the fusion terminal, and storage resources of the fusion terminal are effectively saved.

Technology for a hybrid memory system that allows host access both non-volatile storage and volatile memory (e.g., RAM). The hybrid memory system may send a command to the host requesting that the host select a mode of access that may include a first mode in which the host has access to only the volatile memory and a second mode in which the host has access to at least the non-volatile storage. While in a mode in which the host has access to the volatile memory, the hybrid memory system may analyze data packets received from the host to determine whether a data packet is a request to access the volatile memory or the non-volatile storage. Responsive to a determination that the host is seeking access to the volatile memory the hybrid memory system converts the packet from the host to a packet suitable to access the volatile memory.

The invention discloses a distributed caching method and system and an acceleration method for large model reasoning service. The system comprises a confidential virtual machine cluster, a zero-trust distributed caching system and a FUSE client. The zero-trust distributed cache system comprises a data strategy service, a data engine plug-in, a distributed file system and a trusted access service. And the FUSE client is deployed at the confidential container end, and establishes secure connection with the trusted access service based on the remote proof and the identity legality confirmation proof of the corresponding confidential container so as to provide a plaintext data access service for the corresponding confidential container. According to the scheme, a distributed cache implementation scheme is provided for the confidential computing container cluster, and the problem of performance loss caused by repeatedly reading, encrypting and decrypting the same data from an external storage system is avoided while the data security is guaranteed by using the large-scale confidential container cluster; and the storage access efficiency in scenes such as model training and reasoning is improved.

The invention relates to the technical field of data processing, in particular to a mobile terminal data intelligent backup method and device, a mobile terminal and a storage medium. The mobile terminal data intelligent backup method comprises the steps that when a preset triggering condition is monitored, such as an NFC label approaching event and / or at least one additional triggering condition, safety verification is executed, and a backup task is triggered if verification is passed. Wherein the NFC label is only used for waking up the backup application program of the mobile terminal. And after a backup task triggering instruction is received, writing the to-be-backed-up data into the external storage device successfully connected with the mobile terminal according to the intelligent backup strategy. According to the data backup method and device, intelligent triggering is achieved through the NFC near field sensing characteristic, the expansion requirement of the external storage device is considered, backup can be conducted according to the intelligent backup strategy, the personalized backup requirement under the complex scene is met, and the convenience and applicability of data backup are improved.

The invention provides an instruction cache and a prefetching method thereof. The instruction cache comprises a hit detection module, an instruction prefetching module and an operation module. The hit detection module checks whether a current instruction fetching request of a current thread bundle is hit. The instruction prefetching module dynamically determines an instruction prefetching range corresponding to the current instruction fetching request according to the execution progress of the current thread bundle. The operation module accesses the external storage to prefetch the instruction data corresponding to the instruction prefetch range. And in response to the fact that the hit detection module judges that the current instruction fetching request is hit, the operation module feeds back instruction data corresponding to the current instruction fetching request to the current thread bundle. And in response to the fact that the hit detection module judges that the current instruction fetching request is missed, the operation module accesses external storage so as to feed back instruction data corresponding to the current instruction fetching request to the current thread bundle.

The invention discloses a restart control method and device of a server processor, a storage medium and electronic equipment, and relates to the field of servers, and the method comprises the following steps: detecting the running state of the server processor, and storing a recovery file for the server processor according to the running state of the server processor, then the server processor is controlled to recognize the first controller as an external storage medium, and then the server processor is controlled to restart the external storage medium as a starting item which is preferentially executed in the starting process, so that the server processor can directly obtain a recovery file from the first controller when needing to be restarted; the executive program contained in the recovery file can guide the temporary operating system after the server processor is restarted, and the temporary operating system can provide an operating environment required by system recovery for the server processor, so that the technical problems of poor restarting reliability and the like of the server processor are solved; the technical effect of improving the restart reliability of the server processor is achieved.

The utility model relates to an MCU simulation debugger with high-voltage isolation protection. The MCU simulation debugger comprises a USB power supply communication circuit module, a first DC step-down circuit, a DC-DC power isolation module, a second DC step-down circuit, a main control chip minimum system, a burning code external storage FLASH control circuit, an off-line burning BURN key detection circuit, a JTAG simulation / IIC burning interface isolation module and a three-section dial switch. A dial switch state detection module; and a machine burning control interface. The JTAG simulation / IIC burning interface isolation module realizes 1500Vrms electrical isolation of a debugging board card and simulator equipment, online simulation debugging of resistance product firmware can be realized, and a software developer does not need to care about the electrical isolation condition of the debugging board card and only needs to concentrate on debugging codes; multi-interface and multi-level high-speed simulation and burning are supported, level switching of a debugging board card is rapidly achieved through a dial-up gear, and the level compatibility of the simulator is improved.

The invention discloses a compiling optimization device and method supporting Page Attention and a medium, and belongs to the field of compiling optimization devices.The device comprises a multi-core AI accelerator, and each calculation core comprises a tensor component, a vector component, a DMA component and an IMM component; the compiling optimization device is optimized through the following modules: (a) a KV Cache management module, which is used for storing page table items corresponding to different KV Cache blocks according to a batch sequence and generating standardized page table items; (b) a DMA control module which supports a linear reading and remapping mode, carries discrete KV Cache blocks from an external memory to an on-chip weight buffer area in a segmented manner according to an index table, and hides data loading delay by adopting a double-buffer technology; and (c) a multi-batch reasoning scheduling module which dynamically allocates computing resources according to the data scale in a code stage. According to the invention, through deep cooperation of a hardware architecture and functional logic, the problems of low KV Cache management efficiency, complex multi-batch dynamic scheduling and insufficient computing resource utilization rate on an ASIC platform are solved.

The invention discloses a video data transmission method and system based on an FPGA, and relates to data transmission. The method comprises the steps that a video data stream is acquired, and a time sequence signal of the video data stream is analyzed; writing the parallel data into an external memory to form a frame buffer area; packaging the read video data into a data packet meeting a USB3.2 transmission protocol; packaging the data packet based on a USB3.2 link layer protocol; and converting the USB3.2 protocol transmission frame into a differential signal, and transmitting video data in the USB3.2 protocol transmission frame according to the differential signal. In view of data loss caused by mismatching of a video input rate and a USB output rate in the prior art, by establishing an annular buffer structure and adopting a dynamic pointer management and waterline threshold monitoring mechanism, rate adaptive matching of a video data stream is realized, and continuous and stable transmission of video data is ensured.

The present disclosure discloses a fault recovery method. The method includes: in response to a server being powered on or reset, starting baseboard management controller firmware from one or more flash memories storing the baseboard management controller firmware; in response to a failure of the starting the baseboard management controller firmware from the flash memories, starting a boot loader from a flash memory in which the boot loader is burned; in response to the boot loader being successfully started, obtaining backup baseboard management controller firmware from an external storage device through the boot loader, and burning the backup baseboard management controller firmware to any one of the flash memories; and in response to the burning being completed, resetting the server, and enabling the flash memory to start the backup baseboard management controller firmware from the flash memory in which the backup baseboard management controller firmware is burned.

The invention discloses a self-attention mechanism calculation method, a calculation array, a calculation device, a calculation system and a computer readable storage medium. The self-attention mechanism calculation method is applied to a self-attention mechanism calculation array, the self-attention mechanism calculation array comprises a plurality of product accumulators, the plurality of product accumulators form a systolic array, and the self-attention mechanism calculation method comprises the following steps: performing calculation through the plurality of product accumulators according to a feature tensor and a weight tensor to obtain an intermediate tensor; and a result tensor is calculated according to the intermediate tensor through a plurality of product accumulators. Therefore, frequent memory access of the intermediate tensor between the self-attention mechanism calculation array and the external memory is avoided, the calculation efficiency is improved, and the problems of intermediate tensor multiplexing and storage optimization are solved.

There is provided a method for providing a service by an artificial intelligence(AI) agent with a multi-turn. A cost for performing tasks of an AI agent is reduced and a speed of performing the tasks is improved by maintaining only messages for the most recent j turns as originals and using summary message for each of messages of previous turns of the most recent j turns. Further, a risk of information loss in a multi-turn of the AI agent is eliminated by storing original messages corresponding to the summary messages in an external storage and thus allowing the original messages to be accessed when necessary.

The present application provides a storage space allocation method and a server. The method is applied to a server. Upon reception of a configuration request, the server registers the external storage of a server cluster into the storage space of the server cluster on the basis of the configuration request to obtain a target storage space, thereby realizing capacity expansion of the storage space of the server cluster by using the external storage of the server cluster. Upon reception of a storage space allocation request, the server uses the target storage space to provide a corresponding storage space, so as to store a temporary file generated in the process of realizing a service function. In the method provided by the present application, the external storage of a server cluster is used to realize expansion of storage resources of the server cluster, and the internal storage and external storage of the server cluster can be invoked to provide a storage space for a computing node, thereby effectively supporting the realization of a service function, improving the success rate of task execution, and avoiding task execution failure due to insufficient storage resources.

A parameter-setting program operates on an information terminal 50 that may perform wireless communication with a combustion device 10. The parameter-setting program may cause the information terminal 50 to execute: processing to cause, when a parameter is to be set for one combustion device 10, the information terminal 50 or an external storage device to store the parameter inputted into the information terminal 50; processing to cause, when, after the storing, the parameter is to be set for another combustion device, the information terminal 50 to display an option to instruct the information terminal 50 to write the stored parameter into the other combustion device 10; and processing to write the stored parameter into the other combustion device 10 when the option is selected.

An information processing apparatus includes: an internal storage configured to store one or more programs; a controller configured to execute the one or more programs; and an interface configured to receive information from an external storage containing a whitelist. The whitelist includes determination information indicating whether to allow the controller to execute each of the one or more programs. The controller is configured to acquire the whitelist from the external storage through the interface, verify an integrity of the acquired whitelist, and in response to a determination that the acquired whitelist is complete, store the acquired whitelist in the internal storage as an active whitelist to be used for determining whether to allow the controller to execute each of the one or more programs stored in the internal storage.

The invention discloses a big language model dialogue system for Token-level resident memory and a use method. The big language model dialogue system comprises an inference engine module, a big language model module, an independent memory model module and an external storage module, relates to the technical field of big language model memory enhancement, after a current dialogue Token sequence is received, whether historical dialogue information is needed or not is judged through a big language model module, and if yes, the historical dialogue information is called from an external storage module through an independent memory model module, so that information displayed by finally responding to the Token sequence is more complete, and user experience is improved. The problems that a model cannot completely retain and utilize long-distance historical information, so that questions cannot be answered and information is forgotten are solved; an external storage module is arranged, and model parameters of an independent memory model module and Token-level data of all historical conversations are resided through a memory mapping technology; and zero occupation of the GPU video memory is realized.

Systems and methods for enabling availability of backup data during restoration of a distributed database system are provided. An external storage system stores a plurality of backup files each comprising backup data and one or more backup metadata files. A plurality of ranges are generated and stored among a plurality of computing devices based on the backup files and metadata files. A plurality of virtual data files are generated and stored in the ranges, where each range of the ranges comprises one or more of the virtual data files, where the virtual data files for a respective range identify physical data configured to be stored by the respective range comprising at least a portion of the backup data of one or more of the backup files. The ranges are configured to serve, based on the virtual data files, a request directed to reading or writing the physical data.

The embodiment of the invention discloses a file cross-network transmission method and device and a computer readable medium. A specific embodiment of the method comprises the steps of determining file structure information of a to-be-transmitted file in response to the fact that the to-be-transmitted file passes compliance check; determining whether a target file template exists or not according to the file structure information; performing file content separation on the to-be-transmitted file to obtain a target file; generating a chained invisible watermark according to a template identifier corresponding to the target file template, meta-file information corresponding to the to-be-transmitted file and the target file; embedding the chain type invisible watermark into the file to be transmitted to obtain a watermark embedded file; according to the meta-file information, a ferry server matched with the to-be-transmitted file is distributed through a distribution server; and according to the ferry mode, the file embedded with the watermark is transmitted to an external storage space in a cross-network manner through the ferry server. According to the embodiment, efficient and safe cross-network data transmission is realized.

Techniques for enabling the retrieval of data blobs by a network management system from an on-premises network are provided. In certain embodiments, these techniques leverage external storage (i.e., storage that resides outside of the on-premises network) to enable this data blob retrieval in a secure, efficient, and scalable manner.

An electronic device is provided. The electronic device includes a housing configured to form at least a portion of an exterior appearance of the electronic device, a socket accommodated in the housing corresponding to a tray hole formed in the housing, a tray inserted into the socket through the tray hole and configured to support an external storage medium, a microphone accommodated in the housing, and a hole (H1) formed in the housing or the tray, wherein, when a pin is inserted through the hole (H1), the tray is separated from the socket, and wherein a sound from the outside of the electronic device is introduced through the hole (H1) to be transmitted to the microphone.

The invention discloses a control system supporting concurrent access of multiple hosts, a storage device and a medium, and relates to the technical field of data storage, the system runs on a control module externally connected with the storage device, and the system comprises a communication connection management unit used for establishing connection with multiple hosts through at least two host interfaces; the access request receiving unit is used for receiving access requests sent by different hosts through an uplink port of the multi-host switching chip, and the access arbitration and scheduling unit is used for carrying out real-time arbitration and unified scheduling on the requests according to a preset strategy; and the instruction forwarding and execution unit forwards an arbitrated instruction to the storage unit for execution through a downlink port, and the system further integrates a cache consistency management unit, a configurable arbitration strategy unit, a multi-mode storage space management unit and the like, so that the data consistency, the access efficiency and the system reliability during multi-host concurrent access are ensured. According to the scheme, efficient and safe parallel access of a plurality of hosts to a single storage device is realized.

The invention provides a data processing method and device of a processor, equipment, a medium and a program product. The method comprises the steps of loading an mth data block in a first matrix to a first cache position of an internal memory through a first thread in a thread group of a processor, and loading an nth data block in a second matrix to a second cache position of the internal memory; loading the (n + 1) th data block in the second matrix from the external memory to a third cache position of the internal memory through the first thread, and performing multiplication operation on the data blocks in the first cache position and the data blocks in the second cache position through the second thread; and loading the (n + 1) th data block in the second matrix from the internal memory to a second cache position of the internal memory through the first thread, and performing multiplication operation on the data block in the first cache position and the data block in the third cache position through the second thread. According to the invention, the calculation speed of multiplication in the processor can be improved.

A memory control device implements split storage of user-data and metadata components of a compound write data word, outputting the user-data component via a memory control interface for storage within an external memory subsystem while separately storing the metadata component within a metadata cache implemented within the memory control device.

Aspects of the disclosure are directed to processing data stored in an external storage system using a machine learning model without exposing the data. Processing data may refer to document retrieval or question-answering, as examples. The external storage system may refer to a storage system separate from a processing system for the machine learning model. To process the data, the machine learning model generates a plan and provides the plan to the external storage system for execution and response generation. Generating the plan allows for accurately processing data without requiring access to the data.

The invention relates to the technical field of chips, and provides a tensor memory accelerator and a tensor memory acceleration method.The tensor memory accelerator comprises an instruction distribution unit and a plurality of tensor memory acceleration engines capable of conducting parallel processing; wherein the instruction distribution unit is used for distributing a tensor memory acceleration instruction to idle engines in a plurality of tensor memory acceleration engines for execution, each tensor memory acceleration engine is provided with a descriptor storage unit for storing descriptors, and each tensor memory acceleration engine is used for storing the descriptors according to multiplexing identification information in the tensor memory acceleration instruction. And multiplexing the descriptors from the corresponding descriptor storage units or obtaining new descriptors from the external memory. According to the invention, each tensor memory acceleration engine can selectively multiplex descriptors from the local or obtain new descriptors from the outside, so that instruction-level parallel processing and effective multiplexing of descriptor information are realized.

The invention discloses a tensor data acceleration processing device, a tensor data acceleration processing system and an integrated circuit. The device is used for post-processing tensor data output by a neural network processor and comprises an interface unit, a cache unit, a data processing unit and an output unit. And the interface unit is connected with the neural network processor and is used for transmitting the to-be-processed tensor data output by the neural network processor. The cache unit is connected with the interface unit and is used for storing tensor data to be processed in processing; and the data processing unit is connected with the interface unit and the cache unit and is used for processing the tensor data to be processed. And the output unit is connected with the data processing unit and transmits the processed tensor data to be processed to an external memory. According to the device, the tensor post-processing efficiency is improved, the time delay is reduced, and the bandwidth consumption in the data reading and writing process is saved.

A key value (KV) storage method and a host device for key value storage are provided. The method comprises the following steps: for each round of lexical element generation of a large language model LLM, storing a first part of KV vectors in a plurality of KV vectors used in a current round of lexical element generation process into an external storage device according to a first KV cache strategy corresponding to the current round of lexical element generation, and storing a second part of KV vectors in the plurality of KV vectors into a host device; and loading a first part of KV vectors in the plurality of KV vectors from the external storage device into a host device for the next round of lexical generation in the next round of lexical generation based on determining that the current round of lexical generation is completed.

The embodiment of the invention provides a starting method and device of embedded equipment and a storage medium. The method comprises the following steps: initializing hardware required for starting the embedded equipment; traversing whether an effective firmware head exists in the external storage device or not; under the condition that the effective firmware header is traversed, starting configuration information of system starting firmware corresponding to the effective firmware header is determined, and the starting configuration information comprises at least one of extended starting firmware information, safe starting information, starting partition information, firmware execution mode information, firmware index information, log level information and register configuration information; and starting and operating the system startup firmware based on the startup configuration information of the system startup firmware. According to the technical scheme provided by the embodiment of the invention, the starting reliability and safety of the bootstrap program booting system can be improved.