7 results about "System framework" patented technology

A generalized natural language—operating system (“GNL-OS”) for constraining a large language model (“LLM”) to provide deterministic output may be provided. The system may include delivery frameworks. Each delivery framework may deliver generalized natural language-program architecture natural language code (“GNL-PA NLC”) to the LLM. The LLM may operate on one or more hardware processors. The delivery frameworks may include a system framework. The system framework may deliver a system prompt structured in GNL-PA NLC code to the LLM. The system prompt may constrain the LLM to operate as an operative system. Upon receiving the system prompt, the LLM may operate as an operative system under one or more rules specified in the system prompt. The delivery frameworks may include a command framework. The command framework may deliver GNL-PA code to the LLM. The GNL-PA code may correspond to one or more commands executable within the operative system.

The utility model provides three operating system detection data processing equipment, including the casing cover and the power module, network switch module, three main control system modules, three hard disk extension modules and three communication extension modules that are all arranged in casing cover, the casing cover has the backboard for power distribution and data interaction between each module, and the power module, network switch module, each main control system module, each hard disk extension module and each communication extension module all take this backboard as the basic connection carrier, the power module is connected network switch module, each main control system module, each hard disk extension module and each communication extension module through the backplate, network switch module is connected with each main control system module through the backplate, and each main control system module is connected with a hard disk extension module and a communication extension module respectively through the backplate, and the multi -source data parallel processing is realized through the construction three operating system framework, and the space burden and power consumption burden of the application scene such as railway detection vehicle are reduced.

This invention discloses a data processing method that overcomes the memory bottleneck of the DOS operating system, comprising the following steps: 1) establishing a processing system framework; 2) the front-end management program module processes the input data to obtain a flag file, and transmits the flag file to the background service middleware; 3) the background service middleware determines the type of the flag file and inputs the flag file into the calculation program module according to the flag file type; 4) the calculation program module performs calculations on the flag file to obtain the calculation result, and transmits the calculation result to the background service middleware; 5) the background service middleware converts the calculation result and writes the converted calculation result into a calculation result interface file; 6) the front-end management program module reads and displays the calculation result interface file. This data processing method that overcomes the memory bottleneck of the DOS operating system extends the software lifecycle of conventional DOS-based operating systems.

This invention discloses a method and apparatus for porting the open-source HarmonyOS system to a Linux kernel. The method includes: obtaining adaptation layer code built based on kernel features of the open-source HarmonyOS framework; performing HarmonyOS-ization on the Linux kernel of the target board to obtain a kernel image file; compiling the adaptation layer code and the target code of the open-source HarmonyOS system based on kernel compilation parameters and target compilation tools to obtain a target image file; and starting the open-source HarmonyOS system on the target board based on the kernel image file and the target image file. The technical solution of this invention can support Linux, Android, and OpenHarmony systems simultaneously with a single kernel codebase, significantly reducing labor costs and shortening the development cycle.

The application relates to a power state conversion management method, device, equipment, medium and program product. The method comprises the following steps: in response to a suspension request of the power state of an operating system from an operation state to a low-power state, performing a mute operation on a hardware interrupt path of a GPU device through an interrupt system framework of the GPU device; and in response to a recovery request of the power state of the operating system from the low-power state to the operation state, recovering the hardware interrupt path of the GPU device through the interrupt system framework. The interrupt system framework is a persistent framework bound with the life cycle of the GPU device established in the driving initialization stage of the GPU device. By using the method, a large number of unnecessary and high-risk operations can be avoided in the power state conversion process, and the stability and performance of the operating system are improved.

A framework that integrates application development, resource management, and accelerator design into a single compile and runtime toolchain. In one exemplary aspect, a method for enabling the execution of multiple software applications on an embedded system comprises receiving a first call to an application programming interface (API) function by a first software application and a second call to an API function by a second software application, and determining available computing resources corresponding to the API functions. The method comprises selecting a first set of computing resources and a second set of computing resources based on one or more characteristics associated with the available computing resources. The method further comprises scheduling the first call to the API function using the first set of computing resources and scheduling the second call to the API function using the second set of computing resources.

Federated Learning (FL) has emerged as a promising approach for training machine learning models across decentralized devices while preserving data privacy. However, research has highlighted privacy vulnerabilities related to gradient leakage attacks. Embodiments of the invention include a system and method of federated learning that includes Stochastic Variance Reduced Gradient (SVRG) and Stochastic Average Gradient "ameliore" (SAGA) into a federated learning framework alongside gradient perturbation. The framework can include steps of (a) setting up the federated learning environment with participating clients, (b) applying variance reduction techniques to enhance model convergence, (c) using Top-k sparsification to reduce communication overhead by transmitting only significant model updates and (d) implementing gradient perturbation techniques to add noise to selected gradients and sending the local model updates to send to the central server. The combination provides enhanced privacy preservation, improved model convergence performance, reduced communication overhead and applicability to a wide range of datasets and neural network architectures.