5962 results about "Input/output" patented technology

A self-improving code / prompt system (e.g., an operating system or a process layer) for generating and / or reusing code / prompt processes is provided. Code / prompt processes include a sequence of prompts for a model, such as an LLM and traditional logic (code) which augments the input / output to the LLM and orchestrates interaction with other third party processes. The system includes an interpreter for managing the execution of code / prompt processes and corresponding interactions with external models, system processes, a process database (e.g., of existing code / prompt processes), and other sources.

Apparatus and methods are disclosed for implementing a copilot as a network of microservices including specialized large language models (LLMs) or other trained machine learning (ML) tools. The microservice network architecture supports flexible, customizable, or dynamically determinable dataflow. Compared to much larger competing LLMs, comparable or superior performance is achieved for certain tasks, while significantly reducing hardware requirements and computation time. Disclosed examples incorporate microservices for expansion, retrieval, embedding, and evaluation, in addition to one or more core microservices. Optionally, intermodal I / O, multiple data repositories, competency qualification, or human feedback can be supported. Multiple core microservices can support varying client authorizations or cognitive functions. The disclosed architecture supports any major LLM use case and can be deployed on a single compute node with a single GPU. Techniques are disclosed for multi-recursive retrieval, expansion ML tool training, input / output translation at data producers, and qualification of input / output data against copilot competency.

Techniques are described for monitoring and analyzing input / output (I / O) messages for patterns indicative of ransomware attacks affecting computer systems of a cloud provider, and for performing various remediation actions to mitigate data loss once a potential ransomware attack is detected. The monitoring of I / O activity for such patterns is performed at least in part by I / O proxy devices coupled to computer systems of a cloud provider network, where an I / O proxy device is interposed in the I / O path between guest operating systems running on a computer system and storage devices to which I / O messages are destined. An I / O proxy device can analyze I / O messages for patterns indicative of potential ransomware attacks by monitoring for anomalous I / O patterns which may, e.g., be indicative of a malicious process attempting to encrypt or otherwise render in accessible a significant portion of one or more storage volumes as part of a ransomware attack.

The invention provides a data all-flash storage optimization method and system based on cloud computing, and the method comprises the steps: receiving a storage operation request stream of a user terminal through collecting a multi-dimensional performance data set of each node of an all-flash storage cluster in real time, wherein the multi-dimensional performance data set comprises a storage space fragmentation rate, an input / output request queue depth and a network link bandwidth utilization rate; analyzing a to-be-stored data block identifier set and an operation mode label, traversing a historical access record library based on to-be-stored data block identifiers, extracting historical access time sequence characteristics and physical storage position proximity of associated data blocks, and combining the multi-dimensional performance data and the historical access time sequence characteristics to obtain a data block identifier set; according to the method, a dynamic access popularity prediction model in a preset time period is constructed, and finally, a cross-node fragmentation storage topological graph and a cache preloading strategy matrix are generated according to the proximity of the dynamic access popularity prediction model and a physical storage position, so that the optimization of all-flash storage is realized, and the data storage performance in a cloud computing environment is improved.

A method and system are arranged for fact checking electronically posted claims. The system includes an input / output device for inputting a textual complex claim as a natural language statement with a combination of two or more facts and outputting an indication that the textual complex claim is true or false. A processor connected to the input / output device generates, by a program generation module, a reasoning program for the input complex claim as a sequence of reasoning steps, where each step directs to a function in a set of sub-task functions. The processor generates, by a program execution module, each step in the reasoning program to a respective sub-task function and executes the respective sub-task function in order to provide the outputted indication.

A value chain network control tower system comprises a processor and memory configured to execute a know your model system that manages the complete lifecycle of Al models in enterprise environments. The know your model system performs model intake and registration actions including model documentation collection, registration procedures, metadata collection, input / output interface standardization, legal and licensing validation checks, and security validation. The system conducts comprehensive model evaluation and risk assessment actions by analyzing foundational properties, task performance, safety and risk management, alignment and compliance characteristics, operational metrics, and tooling transparency capabilities. The know your model system executes model deployment actions through automated environment validation, predeployment approval processes, and controlled production deployment with continuous monitoring.

The invention relates to the technical field of data storage, can be applied to business scenes such as medical health and financial science and technology, and discloses a multi-Pool storage resource adaptive writing method which comprises the following steps: monitoring available storage space, read-write input / output rate, average response time and data access frequency of each Pool; dynamically adjusting the current write-in weight of the Pool according to the monitoring result; converting the current write-in weights of all Pool into probability values, and constructing a discrete probability distribution table; selecting a target Pool through a pseudo-random number generator according to the probability distribution table; and writing the to-be-stored data into the target Pool. According to the method, the running state of each Pool is continuously monitored, and the writing weight is adjusted in real time, so that the problem of resource allocation rigidity under a fixed weight strategy is avoided; in combination with a discrete probability distribution table constructed based on normalized weight and a pseudo-random selection mechanism, selection of the target Pool has certain load balancing elasticity, and data can be more effectively guided to be written into the Pool with light load and excellent performance.

The invention relates to the technical field of distributed file processing, in particular to a distributed file processing method and system, and the method comprises the following steps: based on a task distribution node and a data exchange interface, extracting path characteristics of a task input / output file, analyzing a file exchange sequence of a task path, and calculating a topological structure and length of the path. According to the method, the flexibility and the adaptability of task allocation are realized by combining task state monitoring and real-time adjustment of dependent path weights and task priority marks, resource allocation and a short-time task sequence are optimized by utilizing request frequency and time period records, high-frequency request resource conflicts are effectively relieved, the resource allocation efficiency is improved, and the resource allocation efficiency is improved. Through node historical resource distribution data and time distribution trend analysis, task distribution is adjusted and resource loads are balanced in combination with differences, the stability and balance of the system are enhanced, a file transmission path is optimized based on a load state and a task execution path, and a concurrent task distribution strategy is improved.

The invention discloses a GPU (Graphics Processing Unit) and parallel IO (Input / Output) collaborative optimization method based on mode heterogeneous computing, and particularly relates to the field of heterogeneous computing optimizing.The method comprises the following steps: monitoring mode characteristics during execution of a target computing task in real time through an instruction analyzer, and synchronously collecting dynamic parameters of a heterogeneous computing environment to generate a multi-dimensional resource situation matrix; based on the mode and the resource situation matrix, collaborative optimization operation of the binding equipment dimension and the scheduling time dimension is executed; and constructing a three-level adaptive transmission mechanism and periodically implementing feedback optimization according to an execution state of the three-level adaptive transmission mechanism. According to the GPU and parallel IO collaborative optimization method based on mode heterogeneous computing, the data prefetching hit rate is increased by dynamically sensing the matching relation between a heterogeneous computing mode and an I / O access mode; end-to-end delay is reduced and task contention conflicts are reduced through a dynamic matching strategy of an equipment capability portrait and a task type; and the heterogeneous storage bandwidth peak value utilization rate and the I / O throughput are improved by differentially utilizing the hierarchical characteristics of the multi-stage storage.

A method includes receiving a machine learning (ML) network model in high-level code; generating an internal representation (IR), the IR is mapped to components in a multi-processing tile device; determining whether a first processing tile with a first on-chip memory (OCM) has a same dimension for an input / output tensor data as a second processing tile with a second OCM performing a same primitive function based on the IR; allocating a same memory address range within the first and the second OCM for the same primitive function if the first processing tile has the same dimension for the input / output tensor data as the second processing tile for the same primitive function; linking the memory address range of the first OCM to the memory address range of the second OCM to form a grouped memory space within the first and the second OCM respectively; and compiling low-level instructions based on the linking.

Systems and methods for generating natural language responses to user queries in which the response may be influenced by weather, climate, environmental or similar factors. The system includes an input / output module for inputting and outputting natural language queries and responses, a pre-processor to extract information from freetext queries to assemble a further query, a generator for generating responses, a post-processor to process responses for quality. Helper modules and other data sources may also be provided to augment queries and responses.

A system (100) for securing cloud-based large language models through cyber threat defense and compliance monitoring, comprising: (a) an access control and authentication module configured to authenticate users and applications using role-based access control (RBAC) and multi-factor authentication (MFA); (b) a data protection and encryption module configured to encrypt data in transit and at rest and to anonymize sensitive input / output data using cryptographic techniques; (c) a threat detection and behavior monitoring module employing machine learning algorithms to identify anomalies and detect potential cyber threats in real time;(d) a regulatory compliance monitoring module configured to continuously assess system operations against applicable regulatory frameworks and generate alerts in the event of deviations from the regulations; (e) an incident response and mitigation module configured to automatically execute predefined response actions upon detection of threats or regulatory violations; (f) a logging, auditing, and forensic analysis module configured to securely log system activities, interactions, and threat events with cryptographic integrity protection; and (g) a governance and policy management module configured to define, update, and enforce organizational AI usage and compliance policies via the cloud-based LLM infrastructure.

Software systems and methods convert algorithms and software codes into time affecting linear pathways (TALPs) via decomposition and convert paired Input / Output (I / O) datasets into TALPs via Value Complexity polynomials. Generated TALPs can be enhanced through merging with other TALPs. TALPs can be grouped by matching the outputs of the TALP-associated prediction polynomials with some set of given criteria into families and cross-families that are useful in a new type of software optimization that allows for output values of grouped TALPs to be modeled, pooled, discretized and optimized to enhance goals or meet user goals.

An information handling system includes first and second storages, a basic input / output system (BIOS), and an embedded controller. The first storage stores telemetry data associated with the information handling system. The second storage includes a boot partition. The BIOS stores the telemetry data in the first storage. The embedded controller receives the telemetry data stored in the first storage from the BIOS. The embedded controller provides the telemetry data to the boot partition of the second storage over an out-of-band communication channel.

A wireless peripheral device operatively coupled to a wireless dongle of an information handling system includes a microcontroller to receive a polling packet from the operatively coupled wireless dongle, via a wireless peripheral device radio, identifying a selected number of encrypted data packets for a data packet frame. The microcontroller executes code instructions of a wireless input / output protocol authenticated encryption agent with bi-lateral linear-feedback shift register (LFSR) input stream to generate an initial key or a later dynamic key. With the initial key or dynamic key, the encryption system uses a shifting state machine output from each of a first and second LFSR in an encryption algorithm to generate a data packet encryption output value. The data packet is encrypted via an XOR operator with the data packet encryption output value, and each generated data packet encryption output value is subsequently the dynamic key for encryption of subsequent data packets.

A computer-implemented method comprises transitioning from a unidirectional asynchronous replication to initiating bi-directional synchronous replication between one or more storage objects of a first consistency group (CG1) of a primary storage site and one or more storage objects of a second consistency group (CG2) of a secondary storage site, converting the one or more storage objects of the CG2 from data protection read only access to read write access, and performing a reverse synchronization process between the one or more storage objects of the CG2 and the one or more storage objects of the CG1 including instantiating a reverse splitter on each volume of CG2, establishing reverse sync replication sessions for each storage object of the CG2, and allowing input output (IO) access to the one or more storage objects of the CG2.

An information handling system may include a hardware processor, a memory device, wireless systems, a power source, and plural Universal Serial Ports (USB) or the information handling system may be operatively coupled to a docking station with the plural USB ports. The information handling system may utilize a wireless dongle operatively coupled to the hardware processing device via one USB port that is wirelessly coupled to a wireless input / output device, the wireless dongle comprising a wireless dongle antenna to send and receive data wirelessly with the wireless device, a wireless dongle hardware processing device, and wireless dongle wireless interference detection firmware to detect fail parameters. Execution of code instructions of a wireless interference determination system by the hardware processor may determine combinations of fail parameters diagnose wireless interference from another USB port or other wireless devices as well as determine other wireless signal issues and generate remediation instructions.

The invention relates to a transformer area load regulation and control prediction method based on a multi-gating hybrid long short-term memory network. The method comprises the following steps: S1, obtaining historical power load data and influence factor characteristics which need to be considered and have influences on power loads; s2, constructing an input / output data set model; s3, constructing a core network composed of a plurality of LSTMs, wherein the core network is used for extracting periodic and uncertain feature data; s4, constructing a multi-gating unit network associated with the output task, and performing fusion output on the multi-dimensional features to obtain a load component prediction value; and S5, constructing and training a multi-gating hybrid long-short-term memory network prediction model, fusing different frequency load components, and adding a Huber normal form into a quantile loss function to correct a front-end model error to obtain a final power load prediction result. According to the invention, the power distribution area power load flexible resource credible regulation and control prediction precision can be improved.

A wireless input / output (I / O) device wirelessly coupled to a wireless dongle of an information handling system to encrypt and transmit a data packet frame in response to a transmitted polling packet from a wireless dongle requesting a selected number of packets of a selected packet length. The microcontroller executing code instructions to sign and encrypt the selected number of data packets generating a signature and generating an LFSR distributed signature and an LFSR distributed payload. An encryption algorithm used with an initial or dynamic key and shifting state machine output of another pair of LFSRs generates a data packet encryption output value that is applied via an exclusive OR operator to the LFSR distributed signature and payload to encrypt the data packet and the data packet encryption output value is used for encryption of the next data packet until the selected number of packets of the frame are encrypted.

A method of scheduling input / output operations for a storage system including determining a deadline for a storage operation, wherein the deadline is dependent on an expected latency of the storage operation; adding the storage operation to a queue of storage operations; and reordering the queue dependent upon the deadline of the storage operation and one or more deadlines of one or more storage operations in the queue of storage operations.

The invention provides a PCIe-NTB (Peripheral Component Interconnect Express-Network Temporary Block)-based P2P (Peer-to-Peer) communication method and system between IO (Input / Output) devices, the system comprises a plurality of computing nodes, and the computing nodes comprise a PCIe Switch, an NTB and a plurality of PCIe IO devices; the plurality of PCIe IO devices are connected with the CPU through the PCIe Switch; the NTB is connected with the PCIe Switch; the PCIe IO equipment at least comprises two different types of IO equipment, namely an IO equipment type 1 and an IO equipment type 2; the plurality of computing nodes are connected through the NTB; the system supports P2P communication between IO device types 1 or between IO device types 1 and IO device types 2 of different computing nodes. In the scheme, P2P communication can be directly carried out among IO devices of a plurality of computing nodes on the basis of PCIe-NTB, protocol conversion overhead and main memory and IO device memory moving overhead required by traditional NIC RDMA communication are avoided, and the characteristics of low delay and high throughput of a PCIe network can be fully utilized.

The invention relates to the technical field of storage control, in particular to a memory control method, which comprises the following steps: acquiring a target logic address in response to a reading request from a host system; determining a data access mode associated with the target logic address in real time based on the historical access information, wherein the data access mode at least comprises a continuous mode, a random mode and a hotspot mode; according to the determined data access mode, triggering a data prefetching strategy and a flash translation layer query strategy matched with the access mode; obtaining target data from a memory module based on a data prefetching strategy and a flash translation layer query strategy; and scheduling the cache resources and the input / output bandwidth according to a predetermined resource management strategy, and returning the target data to the host system. The prefetching accuracy and the cache utilization rate are improved.

An intelligent electronic device (IED) is provided. The IED includes a metering sub-assembly and an input base module sub-assembly. The metering sub-assembly is hinged to the input base module sub-assembly, where when in an open position, various cables, connectors, and input / output cards / modules are accessible. Various input / output cards / modules are interchangeable to add / change functionality and / or communication capabilities to the IED. In one embodiment, a communication card is provided with at least one antenna disposed internal or external to a housing of the IED.

A system and method for using a semi-polling model to monitor a Non-Volatile Memory Express (NVMe) completion queue (CQ). The method, implemented at an interrupt thread, includes receiving an input / output (I / O) request from an application and submitting a submission queue (SQ) entry into an NVMe SQ in response to the I / O request. The method further includes registering for notifications from a polling thread after submitting the SQ entry and receiving, from the polling thread, a notification of the presence of a CQ entry within an NVMe CQ. Additionally, the method involves removing the CQ entry from the NVMe CQ and notifying the application of completion of the I / O request.

The invention provides a computing device. The computing device comprises a PCB (Printed Circuit Board), a computing chip and one or more optical modules, the computing chip is arranged on the PCB and comprises one or more input and output high-speed interfaces. Each input / output high-speed interface has one or more input high-speed ports and one or more output high-speed ports. Each output high-speed port performs parallel-serial conversion on a parallel signal in the computing chip to output a first electric signal, and each input high-speed port performs serial-parallel conversion on a received second electric signal serving as a high-speed serial signal. The one or more optical modules are arranged on the PCB, and each port in the electric input and output interface of each optical module is electrically connected with the corresponding input or output high-speed port in the computing chip through wires in the PCB. Each optical module converts the received first electrical signal into a first optical signal and converts the received second optical signal into a second electrical signal.

Systems and methods for multiple device consumption of shared namespaces of ephemeral storage devices by a consumer of a virtual storage system are provided. In an example, multiple namespaces of respective ephemeral storage devices are shared among multiple of consumers of a virtual storage system by creating multiple partitions within each of the namespaces for use by respective consumers of the multiple consumers. Corresponding partitions of respective shared namespace may then be treated as a stripe set to facilitate multiple device consumption for a subsystem (e.g., operation log journaling) of the virtual storage system by striping data associated with input / output (I / O) requests of a consumer (e.g., a journaling driver) across one or more stripe units of one or more stripes within the stripe set.

A computer system and method are disclosed for replicating logs in a distributed environment. The method includes identifying a write input / output (I / O) operation and identifying a log to be replicated based on the write I / O operation. The log is then persisted to local non-volatile memory in the computer system. Subsequently, the log is replicated to multiple remote hosts, where each remote host of the plurality of remote hosts stores the log in its corresponding local non-volatile memory without de-staging the log to a backing store. The write I / O operation is committed once the log is replicated to at least a subset of the remote hosts that forms a quorum. Finally, the log is de-staged to the backing store after the write I / O operation is successfully committed.

A method for managing an LCS includes: sending a request to a microvisor kernel of a microvisor to provision an LCS on a first information handling system (IHS), wherein the request comprises at least a configuration template (CT); sending a second request to the microvisor kernel to verify that an enclave with a virtual trusted platform module (vTPM) is ready to communicate with the LCS; initiating, based successfully verifying, provisioning of the LCS based on the CT, wherein the provisioning of the LCS comprises at least an initiation of a guest basic input / output system (BIOS) of the LCS; receiving a notification, from the microvisor kernel, specifying that the LCS has been provisioned; after the notification has been received: sending a second notification to a user of the first IHS, wherein the second notification specifies a predetermined expiry date of the enclave with the vTPM on the first IHS.

The invention discloses a hydraulic power plant automatic debugging system with a self-adaptive communication function. The system comprises a processing unit, a storage unit, a communication module, an input / output interface, a task classification module, a model architecture configuration module and other functional modules. The use method comprises the following steps: analyzing task complexity and high-dimensional features of input data through a task classification module, and grading by adopting algorithms such as principal component analysis and a support vector machine; the model architecture configuration module is used for matching a model architecture according to the complexity level and determining an initial calculation path; the dynamic path adjustment module optimizes a calculation path in combination with real-time data, and the resource distribution module redistributes resources when the calculation power exceeds the limit; the model compression module generates a compression model adaptive to the edge device through pruning and quantization algorithms; the parameter fine tuning module is used for jointly optimizing model parameters for a multi-task scene; according to the method, the adaptability and efficiency bottleneck of an existing debugging tool in a complex scene is effectively solved, and the intelligent debugging level of an automatic system of a hydraulic power plant is improved.