75 results about "Supercomputer" patented technology

The invention relates to an ultrasonic large model sparse tensor optimization training and pushing acceleration method based on new generation supercomputing, and the method comprises the steps: carrying out the fine tuning of an ultrasonic large model, enabling the weight tensor of each expert model in the large model to generate a structured block sparse mode, and obtaining an ultrasonic sparse large model; constructing a sparse block index table and an expert index table, and associating to form a joint coding table; deploying an ultrasonic sparse large model to each parallel group of the new-generation heterogeneous supercomputing cluster; performing multi-round iterative training on the large sparse model; in each round of iterative training, dividing the sample ultrasonic data of the current batch into each parallel group; in each parallel group, determining a target expert model needing to be activated based on the feature data of each sample ultrasonic data, and positioning a target computing node based on the joint coding table; and activating the target expert model on the target computing node and loading the corresponding non-zero weight block so as to compute the feature data, and updating the model weight parameter based on an output result obtained by computation. The method can accelerate the processing efficiency of the ultrasonic large model.

Systems and methods for intelligent processing of requests in an artificial intelligence system, including receiving an incoming request at an AI broker, evaluating the incoming request to determine routing characteristics, selecting selected specialized language models from a plurality of specialized language models based on the routing characteristics, computing performance metrics for the one or more selected specialized language models, routing the incoming request to the selected specialized language models based on the performance metrics, and generating a final result by receiving and processing results from the selected specialized language models.

An extension for a supercomputer rack, the extension including a reinforcement frame, defining a rectangular through-opening, and at least one fluidic connection support mounted to the reinforcement frame. The at least one fluidic connection support includes an upstream circuit, configured to convey a refrigerant liquid to a plurality of connectors configured to be each connected via a cold flexible manifold to a cooling circuit of a compute blade of a server, and a downstream circuit, configured to collect the heated refrigerant liquid having passed through a compute blade of a server via a hot flexible manifold and a plurality of collection connectors. The extension is configured to be positioned at a rear end of the rack.

A system and method for creating a merged large language model (h-LLM) using a bagging approach including receiving input data at a computer system, creating a plurality of data subsets from the input data, training a plurality of h-LLMs, each h-LLM of the plurality of h-LLMs being trained on a respective data subset of the plurality of data subsets, creating a merged h-LLM by merging the plurality of h-LLMs, and outputting the merged h-LLM.

A zettascale supercomputer may be configured using an array of servers organized in computer pods comprising 4-60 servers per pod. Each server includes computer modules immersed in a tank in which cooling water is flowing. Copper bus bars deliver power to each pod in a range of 4-180 MW. Cooling water is delivered to each pod in a range of 200-24,000 gallons per minute. Supercomputers having an operating power in a range of 4 MW-10 GW are described.

The invention discloses a multi-source cooperative green electric power energy optimization scheduling system, and relates to the technical field of electric power system computing power scheduling, and the system comprises an interaction construction module which constructs a direct connection signal channel of a supercomputing CPU and an intelligent computing GPU; the impedance matching module monitors a signal transmission reflection coefficient in real time and obtains signal transmission delay to realize impedance compensation; the supercomputing power supply layer configuration module regulates and controls output voltage in real time through a voltage monitoring unit; the intelligent calculation power supply layer configuration module adapts to the instantaneous peak current demand of the intelligent calculation module; the supercomputing water-cooling heat dissipation execution module is used for adjusting the flow of a water-cooling pump after receiving the temperature signal; the intelligent calculation air cooling linkage control module is used for collecting the real-time temperature of the intelligent calculation module and controlling the rotating speed of a speed-adjustable fan according to a fan rotating speed adjusting formula so as to realize pulse type heating adaptive heat dissipation; and the comprehensive evaluation module constructs a comprehensive evaluation model and evaluates the system performance. The problems of high transmission delay, mismatched heat dissipation and unstable power supply are solved.

The invention provides an internal interconnection and intercommunication small supercomputing system, device and cluster. The system comprises a programmable processing unit, a plurality of high-speed serial interconnection ports, a high-speed data transmission module and a multi-level heterogeneous storage module, the high-speed serial interconnection port is used for connecting the computing unit; the high-speed data transmission module is used for sending the received to-be-processed task to the cache space of the programmable processing unit; the programmable processing unit is used for distributing to-be-processed tasks to the plurality of computing units for task processing based on a preset distribution strategy and receiving task processing results; and the multi-level heterogeneous storage module is used for storing the received task processing result. The programmable processing unit serves as an architecture center, various high-speed interfaces are managed and coordinated in a unified mode, an architecture and a management mechanism for interconnection and intercommunication of internal components of the small supercomputing system are achieved, and the data transmission efficiency is improved. The programmable processing unit distributes tasks to a plurality of computing units for parallel processing, so that the computing efficiency and the computing power utilization rate are improved.

The application discloses a supercomputer load balancing strategy determination method and device based on a structure grid, equipment and a storage medium, relates to the technical field of computational fluid dynamics, and comprises the following steps: setting a processor of a supercomputer as a computing node, constructing a structure grid with parameters such as the number of grid units and the number of adjacent surfaces based on a master-slave core heterogeneous architecture, establishing a load balancing model in combination with a hardware architecture, utilizing the model to segment the structure grid under constraint conditions such as node calculation time, inter-node communication, inter-core group communication and inter-slave core communication, obtaining segmented grid blocks, determining vertices and their weights according to the segmentation result, determining edges and their weights based on an adjacent relationship, setting the number of adjacent grid blocks as the vertex degree, thereby constructing a directed graph mapping result, processing the mapping result by using a graph partitioning algorithm, and inversely mapping the partitioning result into a final target grid, and accordingly determining an optimal load balancing strategy, so that the efficiency of determining the load balancing strategy can be improved.

Requests are received to write data into extents. The extents are logically contiguous address ranges having corresponding sizes that are larger than a minimum atomic write size of a storage system. A determination as to whether an amount of data written to a particular extent of the plurality of extents has reached a threshold is made. In response to determining that the amount of data written to the particular extent has reached the threshold, data written to the particular extent is stored in one or more managed flash storage devices utilizing a flash translation layer organized to store blocks of a size corresponding to the size of the extents.

Systems and methods for intelligent processing of requests in an artificial intelligence system, including receiving an incoming request at an AI broker, evaluating the incoming request to determine routing characteristics, selecting selected specialized language models from a plurality of specialized language models based on the routing characteristics, computing performance metrics for the one or more selected specialized language models, routing the incoming request to the selected specialized language models based on the performance metrics, and generating a final result by receiving and processing results from the selected specialized language models.

The application discloses a low-energy-consumption passive heat dissipation system for supercomputing / data centers, wherein the top end of each type of containerized extensible case is connected to one end of a non-activated cooler through a pipeline, the other end of the non-activated cooler is connected to one end of a liquid distribution system through a pipeline, and the other end of the liquid distribution system is connected to the bottom end of each type of containerized extensible case, so as to form a closed pipeline system. The heat dissipation system adopts an "insulation cooling liquid immersion cooling" + "separated heat pipe" + "high-efficiency compact condenser" heat and mass transfer process, is of passive heat dissipation throughout, greatly reduces the heat dissipation power consumption of the supercomputing / data center, and can realize an ultra-low PUE value. In addition, the system can realize higher compactness of architecture assembly and reduce the space occupation scale of the supercomputing / data center. The heat dissipation system has high heat dissipation power, high heat dissipation capacity expandability, fast and convenient computer on / off operation, energy saving and environmental protection.

The air-liquid homologous indirect evaporative cooling all-in-one unit suitable for the supercomputing center has the advantages that cold air and cold water are produced at the same time, energy is saved, consumption is reduced, safety and reliability are achieved, and low-noise operation is achieved. The indirect evaporative cooling air conditioning unit module and the indirect evaporative cooling water chilling unit module are organically combined and share one outdoor side exhaust fan, so that the number of equipment and the operation energy consumption are reduced, and the initial investment and maintenance cost are reduced; a dry channel in the air conditioning unit module is designed to be positive pressure, a wet channel is designed to be negative pressure, leaked water is effectively prevented from entering a machine room, and the system safety is improved; and a low-frequency axial flow fan is adopted as an exhaust fan, so that noise pollution is remarkably reduced. The unit realizes accurate cooling of different heating elements of the supercomputer center, optimizes the system energy efficiency, meets the green and low-carbon requirements, and solves the problems of uncoordinated equipment, high energy consumption, loud noise and the like in the prior art.

Requests are received to write data into extents. The extents are logically contiguous address ranges having corresponding sizes that are larger than a minimum atomic write size of a storage system. A determination as to whether an amount of data written to a particular extent of the plurality of extents has reached a threshold is made. In response to determining that the amount of data written to the particular extent has reached the threshold, data written to the particular extent is stored in one or more managed flash storage devices utilizing a flash translation layer organized to store blocks of a size corresponding to the size of the extents.

The ever increasing number of orbiting bodies in low Earth orbit has made it infeasible to calculate potential conjunctions between orbiting bodies more than a few days in advance, even with the aid of supercomputers. Disclosed embodiments utilize machine learning to predict potential conjunctions between orbiting bodies faster than state-of-the art systems by orders of magnitude. This enables potential conjunctions to be identified well in advance (e.g., 30 days or more), so that they may be prioritized (e.g., for fine calculations), visualized, and remediated (e.g., via control of the impacted satellites).

The application provides a remote cooperative post-processing method and device for supercomputers, equipment and medium. The method comprises the following steps: determining a target quantity participating in post-processing, a post-processing type and associated configuration information; sending the target quantity, the post-processing type and the associated configuration information to a supercomputer cluster, so that the supercomputer cluster reads corresponding simulation data from a matched simulation data file in parallel according to the target quantity, performs compression processing on the read simulation data to obtain to-be-rendered data, sends the to-be-rendered data to a client if the data quantity of the to-be-rendered data is less than a threshold, performs rendering on the to-be-rendered data according to the post-processing type and the associated configuration information to obtain graphic rendering data and sends the graphic rendering data to the client if the data quantity of the to-be-rendered data is greater than or equal to the threshold. The application aims to solve the problems of insufficient local processing capacity and unsmooth interface display.

A resource management mechanism oriented to distributed multi-quantum equipment comprises quantum computing resource virtualization, an independent QPU equipment topological structure in a distributed quantum computing environment and a connection relation between QPUs are abstracted into a graph data structure, and updating is carried out according to the real-time state of the quantum equipment. When real quantum computing resources in the system are insufficient, a super computer is used for simulating execution of a quantum circuit; a line scheduling mechanism in a distributed quantum computing environment determines whether a quantum line needs to be cut based on a quantum device state in a system and a resource demand of the quantum line to be executed. When distributed quantum computing needs to be executed, a popularity / weak connectivity mapping optimization algorithm is adopted, and the fidelity of a quantum program is improved. According to the invention, a brand new solution is provided for managing quantum computing resources in a distributed computing environment, the utilization rate of the quantum computing resources is improved, and the execution fidelity of a quantum circuit is improved.

Systems and methods are provided for implementing encryption of data-in-motion and / or otherwise stored data using a key server and a secure enclave of a Network Interface Card (NIC). The NIC acts as a passthrough between the client device and the shared infrastructure of the supercomputer system to help ensure data security in a massively scaled and distributed system. For example, in response to an enrollment process that stores a decrypted key in the secure enclave of a NIC, the NIC can receive a data packet from a client device. The NIC can transmit a key request to a key server that includes an encrypted key corresponding to the decrypted key. The key server can look up the previously stored private / public key pair to authenticate the NIC. The key server can provide private / public key pair to the NIC to allow the NIC to later encrypt data-in-motion.

The invention discloses a disaster emergency response super-computing unmanned aerial vehicle and a use method thereof. The disaster emergency response super-computing unmanned aerial vehicle comprises an unmanned aerial vehicle body, and wings are fixedly connected to the four corners of the unmanned aerial vehicle body. According to the invention, a supercomputing module and a multi-modal intelligent agent platform are deeply integrated, a dynamic computing power distribution strategy of 20% of data preprocessing, 40% of disaster situation evaluation, 30% of resource scheduling and decision assistance and 10% of redundancy is adopted, and the dynamic weight fusion of a Transform model, CNN / U-Net high-precision disaster situation identification and a resource scheduling algorithm with a'rescue strength fatigue coefficient 'are combined. According to the method, efficient processing and accurate decision output of multi-source disaster situation data are realized, the problems that a traditional unmanned aerial vehicle is insufficient in computing power and insufficient in data fusion in a disaster scene and decision suggestions break away from actual rescue requirements are solved, and disaster situation assessment precision and resource scheduling rationality are greatly improved.

A system and method for enhancing performance of h-LLMs including providing specialized h-LLMs specialized for different tasks and trained on a training dataset specific to the specific task to be performed by the specialized h-LLM, generating synthetic data by processing input prompts through the h-LLMs to produce synthetic outputs, feeding the synthetic data back to the specialize h-LLMs through a feedback loop process implemented in a cloud container environment, and performing model refinement on the specialized h-LLMs by retraining at least one specialized h-LLM using the synthetic data.

The invention relates to a ship production workshop safety monitoring device and method and computer equipment. According to the application, the video stream, the sound data and the environmental parameters are acquired through the multi-mode monitoring terminal, and the procedure exclusive behavior recognition module performs special illegal behavior recognition, so that precise monitoring of procedures such as welding, coating, hoisting and the like is realized, and the recognition accuracy of the special illegal behaviors is improved. When a suspected illegal behavior is detected, the system automatically triggers the authority face recognition camera to carry out secondary verification of the identity and the operation authority of the person, so that closed-loop control of behavior recognition-identity verification-authority verification is realized, and the safety risk caused by operation of an unauthorized person is effectively avoided. The industrial-grade super computer carries out centralized processing on identification results and sends violation information to the grading early warning module, and the grading early warning module carries out three-stage grading early warning and corresponding processing measures according to violation risk grades, so that automation and timeliness of a response mechanism are realized, and safety management is promoted.

The application relates to a method and system for improving the speed of writing shared main memory critical resources in parallel by a new generation Shenwei many-core processor, which comprises the following steps: a slave core applies for a data space on its private local data memory; critical resource data in the main memory is copied to the respective private local data memory; each slave core performs read-write operation; each slave core initiates a reduction operation through a remote memory access (RMA) channel, wherein the reduction operation refers to performing certain aggregation function operation on the critical resource data in the private local data memory of the plurality of slave cores to obtain a final result; and the critical resource data in the private local data memory after the reduction operation is written back to the main memory through a direct memory access (DMA) channel. The method can effectively improve the speed of reading and writing the shared main memory critical resources by the slave core of the Shenwei many-core processor, and improve the performance and efficiency of the supercomputer.

The application discloses a heterogeneous computing system and a method for evaluating three-dimensional Fourier transform performance of the heterogeneous computing system, and relates to the technical field of supercomputers, wherein the heterogeneous computing system comprises a processor and a programmable logic device comprising a computing unit, an operation unit, a data transposition unit, a processing unit and a control unit; the method comprises generating an initial transformation matrix and an initial coefficient matrix to perform Fourier transform heterogeneous computing, and obtaining final checksum data; based on total time consumption of the Fourier transform heterogeneous computing, total time consumption of three-dimensional Fourier transform of the heterogeneous computing system is determined to generate an evaluation result of three-dimensional Fourier transform performance of the heterogeneous computing system. The method solves the problem of lack of evaluation of computing performance of a supercomputer composed of a CPU and an FPGA in the related art, and achieves the technical effect of accurately evaluating the computing performance of the computing system of the supercomputer composed of the CPU and the FPGA based on the heterogeneous computing system.

The application relates to an equipment manufacturing industry APP development framework and method, which comprises the following: a data model for storing user information and application information data; a user interaction module comprising a visual design submodule and a backend interaction module submodule, which are respectively used for visual page design and sending front-end user operation to the backend and returning operation results to the front end; a user management module for adding, deleting, querying and permission control management of users of the industrial APP; an authentication module for user login verification and application permission verification; an application function module for automatically executing commands from the front end in the backend and then returning the results to the front end; a middleware module comprising a supercomputer resource calling submodule and an industrial internet platform interfacing deployment submodule for providing an interactive API interface, which is used for realizing interaction between the industrial APP and components outside the industrial APP. Compared with the prior art, the application improves the development efficiency of the industrial APP.

The application relates to a big data quality control method, a system, a supercomputer and a computer readable storage medium, wherein the method comprises the following steps: a source data acquisition step of acquiring source data from a plurality of preset data sources; a knowledge graph construction step of constructing a knowledge graph based on the source data through knowledge extraction and data alignment, wherein the knowledge graph comprises entity data, relationship data, triple data and subgraph data; a quality control model construction step of configuring quality control parameters, constructing a quality evaluation dataset based on the quality control parameters and the knowledge graph, constructing a multi-modal end-to-end big data quality control model, training the quality control model by using the quality evaluation dataset, and using the trained quality control model to calculate and output a data confidence value based on input entity data, subgraph data and / or triple data. Through the application, big data quality control based on graph data is realized, and the domain expansion of the quality control method is improved.

The utility model discloses a supercomputer water cooling plate structure relates to water cooling plate field, including bottom frame and mainboard, bottom frame and mainboard are connected through the friction stir welding, the top of mainboard is installed with the mounting block, and the one side of mounting block is provided with the liquid inlet pipe, the both sides of mounting block are provided with the liquid outlet pipe, and the inside of mounting block is provided with two groups of through -hole, the inside of mainboard is provided with solution groove, the top of mainboard is provided with two groups of liquid hole. The utility model solves the higher cost problem of current bottom frame and mainboard when welding, and the bottom frame and mainboard are fixed through the friction stir welding mode, and the working efficiency of this mode is high, stable, low cost and environmental protection, replaces the fixing mode of traditional brazing, and through the solution groove and fin of setting, the coolant enters into the solution groove, and the contact area with liquid can be increased through the fin of setting, thereby better heat dissipation can be carried out, and the water cooling plate main body heat dissipation effect is better.

Systems, computer program products, and methods are described herein an automated system for restarting large scale cluster supercomputers. The present disclosure is configured to receive a request to reboot a supercomputer cluster, wherein the request comprises a sequence of reboot instructions; determine, using a data integrity engine, whether a current state of the supercomputer cluster meets reboot requirements, wherein the reboot requirements are associated with a core logic of the data integrity engine; and execute the sequence of reboot instructions in an instance where the current state of the supercomputer cluster meets the reboot requirements.

The invention belongs to the technical field of fine fluorine chemical industry, and discloses a perfluoroalkane dielectric cooling liquid composition with customizable performance and a selective continuous preparation method thereof. The composition is composed of saturated derivatives of hexafluoropropylene oligomer and can comprise a perfluoro-branched hexane isomer mixture, a perfluoro-branched nonane isomer mixture and a perfluoro-branched alkane higher oligomer mixture with the polymerization degree not lower than 7, and key performance such as the boiling range, the viscosity and the freezing point can be customized by regulating and controlling the proportion of all the components. According to the preparation method, an integrated continuous flow system is adopted, and on-demand production of cooling liquid with different component proportions is realized through the steps of controllable initial oligomerization, selectable controllable chain growth and continuous saturation. The product provided by the invention has excellent comprehensive thermophysical properties, is suitable for immersed cooling of high-heat-flux electronic equipment such as an AI data center and a super computer, and has the advantages of high process platformization degree and good economical efficiency.

The invention relates to a job calculation method and device, a super computer and a medium. Comprising the steps of obtaining a job calculation request submitted by a first user; if it is determined that a first user space of a first user needs to be accessed based on the job computing request, mounting first user data in the first user space into a first storage space of the computing node; and calling the first user data mounted in the first storage space to perform job calculation through the calculation node to obtain a job calculation result corresponding to the job calculation request. Therefore, the user data in the user space is automatically and dynamically mounted on the storage space of the computing node in the super computer according to needs, so that the data is cached and computed, the data transmission process is reduced, automatic data caching and cooperative computing are realized, the operation computing process is simplified, and the complexity is reduced.

The invention discloses a heterogeneous computing system and a three-dimensional Fourier transform performance evaluation method thereof, and relates to the technical field of supercomputers, the heterogeneous computing system comprises a processing device and a programmable logic device comprising a computing unit, an arithmetic unit, a data transposition unit, a processing unit and a control unit, the method comprises the following steps: generating an initial transformation matrix and an initial coefficient matrix, and carrying out Fourier transform heterogeneous calculation to obtain final checksum data; and based on the total time consumption of the Fourier transform heterogeneous calculation, determining the total time consumption of the three-dimensional Fourier transform of the heterogeneous calculation system to generate a three-dimensional Fourier transform performance evaluation result of the heterogeneous calculation system. The problem that the calculation performance of the super computer composed of the CPU and the FPGA is not evaluated in the prior art is solved, and the technical effect of accurately evaluating the calculation performance of the calculation system of the super computer composed of the CPU and the FPGA based on the heterogeneous calculation system is achieved.