Abstract:
Provided is a method for a plurality of processing elements to filter a plurality of pixel blocks in a plurality of picture partitions for a single frame image. The method for filtering pixel blocks includes: checking the status of a second boundary pixel block adjacent to a picture partition boundary, the second boundary pixel block being one of a plurality of pixel blocks in a second picture partition and neighboring a first boundary pixel block in a first picture partition, the first boundary pixel block neighboring the picture partition boundary; selecting a filtering area for the first boundary pixel block based on the status of the second boundary pixel block; and filtering the filtering area for the first boundary pixel block.
Abstract:
Disclosed is an interface system including a first neuron cluster that outputs a first neuron signal including a first neuron request and first neuron data by performing a first arithmetic operation, and a first interface circuit that stores the first neuron data and outputs a first response, in response to the first neuron request. The first neuron cluster outputs a second neuron signal including a second neuron request and second neuron data by performing a second arithmetic operation, in response to the first response. Before the first data is transmitted to a second neuron cluster different from the first neuron cluster, the first interface circuit outputs the first response in response to a fact that the first neuron data is stored.
Abstract:
Disclosed is an SoC including a CPU that generates a first function signal including a first command for a first soft float function while not having a floating point operation function, a system bus, and a soft float function circuit that receives the first function signal from the CPU through the system bus, and performs a first floating point operation corresponding to the first soft float function based on the first command.
Abstract:
Disclosed are a spike neural network apparatus based on a multi-encoding and an operating method thereof. The method of operating a spike neural network (SNN) apparatus that performs a multi-encoding, includes receiving an input signal by an encoding module, performing a rate coding and a temporal coding on the received input signal by the encoding module, generating an SNN input signal based on the performance result of the rate coding and the temporal coding, and transmitting the generated SNN input signal to a neuromorphic chip that performs a spike neural network (SNN) operation.
Abstract:
Disclosed is a network-on-chip including a first data converter that receives first image data and second image data from at least one image sensor and encodes one image data among the first image data and the second image data, into first data, based on whether the first image data is identical to the second image data and a second data converter that receives non-image data from at least one non-image sensor and encodes the received non-image data into second data. The network-on-chip outputs the first data and the second data to transmit the first data and the second data to an external server at a burst length.
Abstract:
Provided is a system-on-chip. A central controller is configured to, in response to a request from a host, generate a first signal for requesting error information related to an error from a design of an IP. A local controller is configured to generate a second signal including the error information of the target IP if the request from the host is determined to be for the target IP based on the first signal.
Abstract:
Provided is a display device including a display panel, a power delivery network (PDN), an image controller, and a PDN controller. The display panel may include a plurality of sub-panels. The PDN may be controlled by a control signal, respectively deliver voltages determined by the control signal to the plurality of sub-panels, and generate state information for determining the control signal. The image controller may receive to store frame image data, determine a number of frames to be integrated according to a window size, and integrate the frame image data of frames in the determined number into one image to generate integrated image data. The PDN controller may generate the control signal and a size adjusting signal based on the state information and the integrated image data, provide the generated control signal to the PDN, and may provide the generated size adjusting signal to the image controller. The size adjusting signal may adjust the window size.
Abstract:
Provided is a cache memory. The cache memory includes a first to Nth level-1 caches configured to correspond to first to Nth cores, respectively, a level-2 sharing cache configured to be shared by the first to Nth level-1 caches, and a coherence controller configured to receive an address from each of the first to Nth cores and allocate at least a partial area in an area of the level-2 sharing cache to one of the first to Nth level-1 caches based on the received address.
Abstract:
Provided is an operating method of a cache memory device includes receiving an address from an external device, reading an entry corresponding to at least a portion of the received address among a plurality of entries that are included in the cache memory, performing error detection on additional information that is included in the read entry, and performing a recovery operation on the entry based on a result of error detection and the additional information. The entry includes the additional information and a cache line corresponding to the additional information, and the additional information includes a tag, valid bit, and dirty bit that correspond to the cache line.
Abstract:
The present invention provides a fast prediction mode determination method of a video encoder that may remove an unnecessary operation of an encoder by selectively terminating early or omitting a splitting process and a pruning process based on a probability distribution of rate-distortion values, and thereby enables the encoder to quickly determine a prediction mode. The present invention may include a method that may adaptively change a termination and omission determination criterion of the splitting process and the pruning process based on a characteristic of an input image. When using the method provided by the present invention, reliability regarding the termination and omission determination of the splitting process and the pruning process may be set and thus, it is possible to adjust the tradeoff between a decrease in an operation amount and a quality degradation of the encoder.