73 results about "Parallel channel" patented technology

The invention discloses a big language model reasoning optimization method and system based on dynamic video memory compression and memory isomerism, and intelligent management of video memory resources is realized by integrating a dynamic compression strategy of KV Cache and a memory parallel architecture. The method comprises the following steps: 1) analyzing the spatial-temporal characteristics of the KV Cache in real time, adaptively selecting a quantization compression algorithm, a rarefaction algorithm or a low-rank decomposition algorithm, performing hierarchical storage based on attention head importance scores, keeping high precision of a core head, and implementing low-bit quantization on a secondary head; (2) the compressed inactive data are divided into a plurality of data blocks to be stored in a system memory, a parallel data channel group is established according to the number of physical channels, the compressed blocks are concurrently read through multiple channels during loading, and parallel decompression of a sparse matrix is accelerated through a GPU tensor core; and 3) constructing a KV Cache multiplexing mechanism and a parallel channel, and parallelizing a compression / decompression process and model calculation by adopting a hardware acceleration compression and asynchronous pipeline mechanism.

The invention belongs to the field of intelligent traffic systems, and relates to a multi-mode space-time traffic flow modeling method supporting large-scale road network real-time prediction, and the method comprises the steps: firstly designing a space-time prediction framework facing a dynamic traffic network, and then carrying out the training to obtain a final prediction model; the space-time prediction framework comprises a data embedding layer, a space-time coding module and a deep modeling and output module based on an expert hybrid mechanism; the data embedding layer comprises two parallel channels of time embedding and spectral domain space embedding and a time-space data fusion module; the space-time coding module comprises a block-level sparse time attention module, a space attention-message passing module and a weighted fusion layer which are parallel; the deep modeling and output module based on the expert hybrid mechanism comprises an MoE dynamic expert modeling module, a full-connection mapping module, a jump connection layer and an output layer; according to the design, the response speed, the prediction precision and the cross-regional adaptive capacity of the model in a high-heterogeneity scene are improved.

The invention relates to the field of target detection, in particular to a UMFNet-YOLO-based joint detection algorithm under a low-light condition, which adopts a multi-scale decomposition and high-frequency-low-frequency feature collaborative enhancement strategy, separates image details from global features through high / low-pass filtering, realizes multi-resolution feature complementation in combination with dynamic weight distribution, and improves the detection accuracy. Target contour and texture information degraded in severe weather can be effectively recovered; a parallel channel compression and spatial semantic enhancement module is designed, rain and fog noise interference is suppressed through cross-dimensional adaptive feature screening, and significance expression of a key target is enhanced; an image enhancement network UMFNet is cascaded with YOLOv8, and strong correlation between feature expression and a detection task is ensured by synchronously optimizing an enhancement module and detecting network parameters through back propagation. Compared with a baseline YOLOv8 detector, the method has the advantages that the average precision (mAP50) is obviously improved, and the method is obviously superior to a traditional enhancement-detection separation scheme. The method can be applied to robust target detection scenes in complex environments such as automatic driving and security monitoring.

The provided is an anti-radiation low-latency chip for neural network inference acceleration. The following steps are included: deploying a neural network inference acceleration chip at a frontend of a detector, using a streaming architecture to correspond each pipeline stage to each major neural network layer, balancing a limited on-chip memory resource and support for a large-sized input, and constructing layer parallelism, channel parallelism, and convolution kernel parallelism. This application proposes to deploy an anti-radiation, low-latency, and efficient chip for convolutional neural network (CNN) inference acceleration is deployed at the frontend of the detector to improve an intelligence level of future detector hardware. To this end, a fine-grained streaming architecture, and fine-grained storage management, flexible compression and quantization, and anti-radiation digital chip design technologies are proposed to achieve a high throughput and a low on-chip memory consumption while achieving anti-radiation and low-latency inference.

The invention discloses a dual-mode communication method and system based on link redundancy check and dynamic hybrid routing, and relates to the technical field of electricity meter reading, and the method comprises the steps: constructing a dual-link parallel channel through HPLC and HRF, and carrying out data synchronization and consistency comparison; when the link is abnormal, dynamically electing an agent coordination node and constructing a cross-protocol mixed link; and optimizing communication path selection and interference suppression by using an intelligent routing algorithm and a noise recognition mechanism. According to the method provided by the invention, the reliability and data transmission efficiency of a communication system are remarkably improved through double-link redundancy check and a hybrid link dynamic reconstruction mechanism. And a parallel acquisition and path optimization method is adopted, so that the meter reading time is shortened, the link switching delay is reduced, and the real-time performance and the resource utilization rate are enhanced. The system has good environment adaptability and can cope with topological changes caused by a complex power grid structure and distributed energy access.

The present invention discloses a dual-mode communication method and system based on link redundancy check and dynamic hybrid routing, which relates to the technical field of electricity metering, including building a dual-link parallel channel through HPLC and HRF to perform data synchronization and consistency comparison; when the link is abnormal, dynamically electing an agent coordination node and building a cross-protocol hybrid link; and optimizing communication path selection and interference suppression using an intelligent routing algorithm and a noise identification mechanism. The method of the present invention significantly improves the reliability and data transmission efficiency of the communication system through a dual-link redundancy check and a hybrid link dynamic reconstruction mechanism. The parallel collection and path optimization method is adopted to shorten the meter reading time, reduce the link switching delay, and enhance the real-time performance and resource utilization. The system has good environmental adaptability and can cope with the topology changes brought about by complex power grid structures and distributed energy access.

The invention provides an instant image printing task scheduling method and system based on dynamic queue management, and relates to the technical field of task scheduling, and the method comprises the steps: deploying a three-level distributed architecture, and sensing the multi-dimensional attributes of production data and video data in real time; based on the system load threshold value and the real-time requirement, the dynamic priority of the data is calculated through a multi-factor weighting formula, and priority factors comprise data freshness, event emergency degree and transmission stability; dynamically recombining the data queue, and dividing the data queue into a real-time analysis pool, a quasi-real-time buffer pool and a background processing pool; adaptive data preprocessing is executed, wherein format standardization, redundancy compression and noise filtering are included; constructing a parallel channel and transmitting data through the optimal path; sHA-256 feature code verification and full link resource recovery are carried out; the system comprises a distributed state sensing module and the like. According to the method, the real-time performance of multi-source data fusion is improved, key events can be processed preferentially, and the factory monitoring efficiency and the resource utilization rate are improved.

The invention discloses an image compression method based on a JPEG-LS (Joint Photographic Experts Group-Least Squares) parallel optimization algorithm, which comprises the following steps: calculating local gradient values of to-be-coded data and then merging to obtain a context index Q value, the to-be-coded data being a prediction error of a current pixel; grouping the data to be coded according to the context index Q value; if the to-be-coded number contained in the key group affects the parallelism degree, a controllable distortion value is introduced into the pixel value of the to-be-coded data by using an equalization algorithm, and the group serial number corresponding to the data in the key group is corrected; deploying processing units of parallel channels with the number equal to that of the groups, and scheduling the grouped data to be coded to the processing units to realize pipeline processing; integrating each group of data into coded and compressed data through code stream splicing; the image compression method based on the JPEG-LS parallel optimization algorithm is used for image compression, the system data size is low, and the satellite-ground transmission bandwidth pressure is small.

The invention relates to the technical field of power load power prediction, and provides a power load power prediction method and system for a sewage plant and a medium, and the method comprises the steps: obtaining the feature data of the sewage plant, including meteorological data, date, water quality data and historical power load power data; the constructed load prediction model comprises a feature extraction layer, an attention fusion layer, a GRU layer and a full connection layer; the feature extraction layer is provided with three parallel CNN channels and an attention fusion layer, and each channel sequentially comprises a plurality of convolution modules. Wherein the first channel inputs meteorological data and date, the second channel inputs water quality data, and the third channel inputs historical power load power data. The output of the three channels enters the GRU layer after being processed by the attention fusion layer, and the output of the three channels passes through the full connection layer to obtain a predicted value of the power load power of the sewage plant. According to the method, multi-type feature information can be effectively fused, and the accuracy of power load power prediction of the sewage plant is improved.

The invention belongs to the technical field of cryptography and secure multi-party computing, and provides a homomorphic encryption multiplication triple generation method and system based on the Chinese remainder theorem.A data application party and a data provider generate private random vectors respectively, and the private random vectors are decomposed into a plurality of component matrixes by means of the Chinese remainder theorem; the data provider executes ciphertext multiplication and addition operation in the corresponding parallel channels according to the number of the component matrixes, the ciphertext of each channel is calculated based on a BFV homomorphic encryption algorithm, and the ciphertext result is sent to the data application party; and the two parties decrypt each ciphertext by using the private key to obtain a plaintext component matrix, reconstruct through the Chinese remainder theorem to obtain a plaintext vector, and calculate a local triad component based on the plaintext vector to generate a triad, and the triad meets the multi-party multiplication constraint. According to the method, the Chinese remainder theorem and the homomorphic encryption algorithm are ingeniously combined, efficient and extensible multiplication triple generation is achieved, and the efficiency and space limitation in the prior art is broken through.

The application provides a method for obtaining a multispectral image through single exposure, an endoscope system and electronic equipment. The method comprises the following steps: obtaining an original image within a single exposure time, wherein the original image is obtained by sequentially imaging a light signal on a main light path of the endoscope system through a lens array and a continuous variable filter; dividing the original image into a plurality of sub-images corresponding to different channels in the lens array, wherein different sub-images correspond to different wave bands and different channel response coefficients; and performing normalization correction on the corresponding sub-images according to the wave bands and the channel response coefficients, so as to eliminate the response difference between different channels and obtain a sequence image of multiple wave bands. Through multiple parallel channels, a plurality of sub-images with different spectral responses are obtained within a single exposure, and the rapid acquisition of multispectral information of an endoscope is realized.

The present disclosure relates to the technical field of graphic processor, and discloses a memory management device and method of multiple parallel channels, electronic equipment, storage medium and computer program product. The device comprises a plurality of parameter stream generators and a target cache shared by the plurality of parameter stream generators. Any parameter stream generator is configured to send a data read request to the target cache, the data read request being used to obtain reference data corresponding to an effective primitive currently required to be processed by the parameter stream generator. The target cache is configured to determine the reference data corresponding to the effective primitive currently required to be processed by the parameter stream generator in response to the data read request of any parameter stream generator, and return the reference data to the parameter stream generator. The present disclosure can perform unified cache management, improve the overall hit rate of data read requests, reduce the interaction times with external storage devices, and improve processing performance.

The invention provides a hybrid private chain and alliance chain-based Internet of Things data security sharing method and system, and belongs to the technical field of block chains, Internet of Things and cloud computing, and the method comprises the steps: deploying a private chain, and taking an alliance chain as a mutual trust coordination layer to achieve registration anchoring and interoperation of multi-chain data; a parallel HTLC channel and a dynamic time lock mechanism guarantee atomic exchange and efficient transmission of cross-chain data, and meanwhile, safe and credible data sharing is realized in combination with multi-party threshold notarization and zero-knowledge proof; the intelligent gateway layer provides protocol adaptation, format conversion, machine learning caching and intelligent access control, and optimizes a data publishing and prefetching process; the light client only reserves a block head and a Merkle index, and incremental verification and multi-path synchronization are carried out; the homomorphic encryption and parallel zero-knowledge proof framework gives consideration to data privacy and on-chain auditing performance, and it is ensured that limiting value judgment and compliance auditing are carried out in a ciphertext state. According to the method, credible, efficient and auditable data cross-chain sharing is realized.

The embodiments of the present application relate to the field of data transmission and provide a data transmission method, apparatus, communication system, computing device, chip, product and storage medium. The method includes: a transmitting end sends the first to Nth sub-data packets in parallel through M channels. The first to Nth sub-data packets are obtained by splitting the first data micro-slice, and M and N are positive integers. The receiving end may not receive the correct sub-data packet and sends a first retransmission indication identifier, which instructs the transmitting end to retransmit the first data micro-slice. The transmitting end sends a first retransmission identifier based on the first retransmission indication identifier and sends the first to Nth sub-data packets in parallel again through M channels. The first retransmission identifier indicates that the first to Nth sub-data packets are retransmitted data. Therefore, the receiving end can receive the retransmitted sub-data packets after receiving the first retransmission identifier. There is no need to always receive and merge the sub-data packets received through parallel channels. This saves computing resources at the receiving end.

The present invention belongs to the field of intelligent transportation systems and relates to a multimodal spatiotemporal traffic flow modeling method that supports real-time prediction of large-scale road networks. The method first designs a spatiotemporal prediction framework for dynamic traffic networks and then performs training to obtain the final prediction model. The spatiotemporal prediction framework includes a data embedding layer, a spatiotemporal coding module, and a deep modeling and output module based on an expert mixture mechanism. The data embedding layer includes two parallel channels, namely time embedding and spectral-domain spatial embedding, and a spatiotemporal data fusion module. The spatiotemporal coding module includes a parallel block-level sparse temporal attention module and a spatial attention-message passing module and a weighted fusion layer. The deep modeling and output module based on the expert mixture mechanism includes a MoE dynamic expert modeling module, a fully connected mapping module, a skip connection layer, and an output layer. This design improves the model's response speed, prediction accuracy, and cross-regional adaptability in highly heterogeneous scenarios.

One or more embodiments of the specification provide a retrieval enhancement generation method, device, equipment and storage medium. The method uses multiple parallel channels to retrieve query requests from multiple dimensions respectively; then, according to the time sequence of the return recall content of each channel, the recall content of each channel is pre-filled, wherein the pre-filled result of each channel is stored in the cache device, and the pre-filled result of the channel is obtained according to the pre-filled result cached by the previous channel returning the recall content; finally, according to the pre-filled result of the channel returning the recall content last, the output result of the large language model is obtained. Since the pre-filling is performed according to the time sequence of the return recall content of the channel, the waiting time in the retrieval enhancement generation request process is reduced, and the pre-filled result of the current channel is calculated according to the pre-filled result cached by the previous channel returning the recall content, avoiding repeated calculation in the pre-filling stage.

The invention relates to the field of semiconductor manufacturing, and provides a substrate clamping state detection method and system, and the method comprises the steps: a master station transmits a set value to a slave station; after the main station confirms that the substrate reaches the bearing table, the clamping assembly is controlled to clamp the outer edge of the substrate; in each acquisition period, the slave station acquires an acquisition value output by an analog quantity sensing module located at the outer edge of the substrate through N parallel channels; the slave station transmits the acquired value to the master station; the slave station compares the collected value with a set value based on a specified judgment method to obtain a judgment result; when the judgment result is not the over-clamping state and the fragment state, the slave station continues to execute the next collection period; when the judgment result is the over-clamping state or the fragment state, the clamping assembly is controlled to reset after a preset time period; the master station obtains the judgment result and calculates the difference value between the collection value and the set value; controlling the rotating speed of the bearing platform or updating the set value according to the difference value. The method is used for improving the data acquisition and processing speed when the clamping state of the substrate is detected.

A memory device comprises a plurality of backend interfaces that are each configured to connect to a respective media device (e.g., DDR, LPDDR DRAM), a plurality of reliability, availability and serviceability (RAS) channel datapaths with each RAS channel datapath connected to one or more backend interfaces, one or more caches that are each connected to at least one RAS channel datapath, and control circuitry. The control circuitry is configured to: in response to receiving a memory access request for a memory location, search a cache of the one or more caches for the requested memory location; and when, in response to the search, the requested memory location is not found in the cache, obtain the requested memory location from a media device connected to the at least one RAS channel datapath. Corresponding methods are also described.

The invention discloses a microfluidic large-scale manufacturing method and microfluidic large-scale manufacturing equipment for monodisperse double emulsions, and relates to the technical field of microfluidics. Flow parameters are decoupled through a multi-interface collaborative pinch-off mechanism in a stepped emulsification microfluidic unit; therefore, the influence of non-uniform distribution of fluid in a parallel stepped emulsification microfluidic network on the monodispersity of liquid drops is avoided, and large-scale manufacturing of the monodisperse double emulsion is realized through parallel connection and modular integration of a plurality of stepped emulsification microfluidic units. According to the micro-fluidic large-scale manufacturing method and equipment for the monodisperse double emulsion, the problem that the monodispersity of liquid drops is reduced due to non-uniform flow resistance distribution in parallel channels can be avoided, parallel mass production of the double emulsion with 1000 channels can be realized through parallelism of 100 stepped emulsification micro-fluidic units and integration of 10 modules, and the production cost is reduced. And the manufacturing flux can reach 1.8 L / h.

The invention provides a fractional order differential analog-to-digital conversion device for neural peak potential acquisition. Firstly, a fractional order difference operator is designed to calculate any fractional order increment code, nerve peak potential sparsity can be more effectively utilized, the nerve peak potential compression ratio is remarkably improved, meanwhile, higher flexibility is achieved, the difference order is adjustable, and the method can adapt to more nerve peak potential collection application scenes. Secondly, a fractional order buffer module is designed, and any fractional order increment coding value can be generated in a simple and efficient mode. And finally, a serialized bit stream generator is designed, the fractional order incremental data collected by a plurality of parallel channels can be subjected to serialized packaging, the expandability is very high, the method can be suitable for multi-channel collection, and the method can be reliably connected with a subsequent synchronous clock wireless transmission system. The overhead and delay of synchronous-asynchronous interface coordination are avoided, and the nerve peak potential acquisition efficiency is further improved.

The present invention discloses a multi-channel optical time delay measurement method based on compressive sensing, which is used to simultaneously measure the optical time delays of S reflection points at different positions or S parallel channels in the optical link to be measured, where S is an integer greater than or equal to 3. The method includes the following steps: S1. Intensity modulate an incoherent optical carrier with a microwave swept-frequency signal composed of M frequency points randomly selected from a frequency range with N frequency points to obtain a detection optical signal that is sparse in frequency, where M << N; S2. Let the detection optical signal pass through the optical link to be measured and then perform photoelectric conversion to obtain a microwave signal with sparse frequency carrying time delay information; S3. Use the compressive sensing method to calculate the optical time delay. The present invention also discloses a multi-channel optical time delay measurement device based on compressive sensing. Compared with the prior art, the present invention has the advantages of fast measurement speed, high measurement accuracy, and simple structure.

The invention relates to a Micro LED optical module based on the MOSAIC technology, which comprises a core light-emitting layer, a driving and control layer and an optical and packaging layer, and is characterized in that the core light-emitting layer adopts a Micro LED matrix, and the Micro LED matrix comprises 400 2Gbps / channels; according to the Micro LED optical module, the Mosaic technology is adopted, 400 Micro LEDs of 2Gbps / channels are adopted for parallel transmission, a traditional high-speed channel is replaced, a single optical fiber can integrate thousands of fiber cores to independently transmit signals, the working voltage of the Micro LED optical module only needs hundreds of millivolts, a single array can accommodate 400 channels, the power consumption of a single transceiver is reduced to 10.6 watts, a WaS framework is adopted in the Mosaic technology, a large number of parallel channels are utilized, and the power consumption of the Micro LED optical module is reduced. Each channel operates at a relatively low 2 Gbps data rate.

A system and method securely and selectively provide visibility along a communication path in end-to-end communications, while ensuring security of the transmission, and while further ensuring that unauthorized persons cannot view network packets. A separate parallel channel is used to provide visibility into data in transit to authorized parties, without revealing such data to unauthorized parties. In at least one embodiment, the separate parallel channel is implemented using a secure group messaging platform. In addition, all needed equipment is integrated in the end-to-end connection across layers and protocols into the secure messaging group. Secure, scalable messaging groups can be based on a ratchet tree protocol so as to guarantee forward as well as post-compromise security.

The utility model discloses an optical communication parallel optical lens and an optical communication device, through an optical lens main body provided with a slot, a first optical fiber parallel channel and a second optical fiber parallel channel are formed on the inner wall of the bottom, far away from a notch, in the slot; the first optical fiber parallel channel is used for being in butt joint with a plurality of TX optical fibers in an optical fiber connector, and the second optical fiber parallel channel is used for being in butt joint with a plurality of RX optical fibers in the optical fiber connector. According to the technical scheme, the first optical fiber parallel channel and the second optical fiber parallel channel are arranged and can be in reliable butt joint with a plurality of TX optical fibers and RX optical fibers in the optical fiber connector respectively, the connection mode of multiple paths of optical signals is simplified, and the butt joint efficiency is improved. Besides, the optical fiber parallel channel design not only provides an independent guide path for a plurality of optical fibers, but also can avoid alignment errors in a traditional butt joint mode, thereby effectively reducing insertion loss and deviation of optical signal transmission, and ensuring transmission quality.

This invention proposes an integer-order differential analog-to-digital converter (ADC) for intracranial neural potential acquisition. First, an integer-order differential operator is designed to calculate arbitrary integer-order incremental codes, which more effectively utilizes the sparsity of intracranial neural potentials, significantly improving the compression rate of intracranial neural potentials. It also offers greater flexibility, with adjustable differential order, adapting to a wider range of intracranial neural potential acquisition applications. Second, a multi-level buffer matrix module is designed to generate arbitrary integer-order incremental code values ​​in a concise and efficient manner. Finally, a serialized bitstream generator is designed to serialize and package integer-order incremental data acquired from multiple parallel channels. This not only offers high scalability but also allows for reliable interfacing with subsequent synchronous clock wireless transmission systems, avoiding the overhead and latency of synchronous-asynchronous interface coordination, further improving signal acquisition efficiency.

A system comprised of customized nanoscopic projectiles directed to target cells. Projectiles are metered into a central force accelerator, comprised of hundreds to thousands of concurrent channels. Asperities of the channels' surface, transferring momentum from the central force accelerator to the projectiles, are atomic level asperities. Projectiles penetrate to target cells, deliver chemicals, without using the organism's circulatory system, resulting in cells being altered; killed if cancerous, modified by genetic materials contained in projectiles, and enhanced in performance by projectiles loaded with content to assist in cellular purposes.

The invention discloses a bidirectional converter equipment control method based on train operation state information, and relates to the technical field of train operation control, the train operation state information and the current position data of a train are acquired in real time and uploaded to a central server for load calculation, and the total load of a power supply interval is obtained. And according to the total load of the power supply section, the working condition of the train in the power supply section is judged, and meanwhile, the working mode of the bidirectional converter equipment is dynamically adjusted based on the total load of the power supply section. And training and building a bidirectional converter equipment control parallel channel based on the train working condition and the working mode of the power supply interval, performing control parameter analysis on the total load of the power supply interval to obtain a bidirectional converter equipment control strategy parameter, and performing power supply cooperative closed-loop control based on the bidirectional converter equipment control strategy parameter. The technical problems of low electric energy recovery rate and poor harmonic suppression capability of a power grid in the actual operation process of bidirectional converter equipment in the prior art are solved.

The invention relates to a radioactive waste control release measurement data acquisition and wireless transmission system and method, and the system comprises a signal acquisition module which measures a radiation pulse in a radioactive waste control release process, and processes the radiation pulse into an analog pulse signal; a plurality of parallel channels are arranged in the signal processing module, the analog pulse signals are processed at the same time through the parallel channels, digital pulse signals are output, and a high-speed counter is arranged in each parallel channel; the data transmission module is connected with the signal processing module through an SPI (Serial Peripheral Interface) and uploads the digital pulse signal to a remote network platform through an integrated wireless module; and the upper system and the control module are connected to a remote network platform through a wireless module and are used for storing and analyzing the digital pulse signals and determining the control releasing operation of the radioactive wastes. A plurality of parallel channels are arranged to process a plurality of analog pulse signals at the same time, a data transmission module is arranged to achieve transmission in multiple modes, and the technical effects of high-speed pulse signal processing and large-scale parallel measurement supporting are achieved.

The invention discloses an MT ferrule multichannel parallel optical transmission system and an automatic alignment method, and the method comprises the steps: collecting the end face array structure information of an MT ferrule, carrying out the optical fiber arrangement topology analysis and channel space coordinate mapping based on the end face array structure information, and forming a channel space reference map; analyzing the signal feature code of each parallel channel, performing channel state attribute deconstruction according to the signal feature code, generating a channel identity label library, and setting a multi-dimensional alignment anchor point matrix according to the channel space reference map and the channel identity label library; performing offset detection and analysis on the real-time channel transmission state of each parallel channel, generating a coupling offset field, performing adjustment action serialization arrangement processing according to the coupling offset field, and generating a precision calibration instruction chain; displacement trend prediction and mechanical stability evaluation are carried out according to the end face array structure information and the working condition data, a pre-judgment precision calibration instruction chain is formed, and the alignment efficiency, the dynamic stability and the signal transmission consistency of multi-channel transmission are effectively improved.

An example system for testing a device under test (DUT) that includes a first core and a second core. The system includes parallel channels for connecting to a number of pins on the DUT. The channel is for transmitting test data to the DUT and for receiving measurement data from the DUT based on the test data. The measurement data includes time division multiplexed (TDM) data including contiguous data packets received over the channel from the DUT as part of the bitstream. Each data packet includes a first number of bits from the first core and a second number of bits from the second core. Circuitry associated with the channel is configured to compare the measurement data to expected data and determine a pass / fail state of the first core and the second core based on the comparison.