Abstract: A memory array includes memory cells arranged in rows and columns where each row includes a word line connected to memory cells of the row and each column includes a bit line connected to memory cells of the column. Each memory cell stores a bit of weight data for an in-memory computation operation. A row controller circuit coupled to the word lines through drive circuits is configured to simultaneously actuate multiple word lines during the in-memory computation operation. A column processing circuit includes a discharge time sensing circuit for each column that generates an analog signal indicative of a time taken during the in-memory computation operation to discharge the bit line from a precharge voltage to a threshold voltage. The analog signals are converted to digital signal and a computation circuitry performs digital signal processing calculations on the digital signals to generate a decision output for the in-memory computation operation.

Abstract: A circuit includes a memory array with SRAM cells connected in rows by word lines and in columns by bit lines. A row controller circuit simultaneously actuates, through a word line driver circuit for each row, word lines in parallel for an in-memory compute operation. A column processing circuit processes analog voltages developed on the bit lines in response to the simultaneous actuation to generate a decision output for the in-memory compute operation. A bit line precharge circuit generates a precharge voltage for application to each pair of bit lines. The precharge voltage has a first voltage level (not greater than a positive supply voltage for the SRAM cells) when the memory array is operating in a data read/write mode. The precharge voltage has a second voltage level (greater than the first voltage level) in advance of the simultaneous actuation of the word lines for the in-memory compute operation.

Abstract: A memory circuit includes an array of memory cells arranged in rows and columns. A word line is connected to the memory cells of each row. A row decoder circuit operates in response to an internal clock and an address to selectively apply a word line signal to one word line and further generate a dummy word line signal. A control circuit includes a clock generator that generates the internal clock which is reset in response to a reset signal. A first delay circuit receives the dummy word line signal and outputs a first delayed dummy word line signal. A second delay circuit receives the dummy word line signal and outputs a second delayed dummy word line signal. A multiplexer circuit selects between the first and second delayed dummy word line signals for output as the reset signal in response to a logic state of a mode control signal.

Abstract: A memory circuit includes an address port, a data input port and a data output port. An upstream shadow logic circuit is coupled to provide address data to the address port of the memory circuit and input data to the data input port of the memory circuit. A downstream shadow logic circuit is coupled to receive output data from the data output port of the memory circuit. The memory circuit includes a bypass path between the address port and the data output port. This bypass path is activated during a testing operation to pass bits of the address data (forming test data) applied by upstream shadow logic circuit from the address port to the data output port.

Abstract: A memory array includes sub-arrays with memory cells arranged in a row-column matrix where each row includes a word line and each sub-array column includes a local bit line. A control circuit supports a first operating mode where only one word line in the memory array is actuated during memory access and a second operating mode where one word line per sub-array is simultaneously actuated during an in-memory computation performed as a function of weight data stored in the memory and applied feature data. Computation circuitry coupling each memory cell to the local bit line for each column of the sub-array logically combines a bit of feature data for the in-memory computation with a bit of weight data to generate a logical output on the local bit line which is charge shared with the global bit line.

Abstract: The memory array of a circuit includes sub-arrays with memory cells arranged in a row-column matrix where each row includes a word line and each sub-array column includes a local bit line. A control circuit supports two modes of circuit operation: a first mode where only one word line in the memory array is actuated during a memory read and a second mode where one word line per sub-array are simultaneously actuated during the memory read. An input/output circuit for each column includes inputs to the local bit lines of the sub-arrays, a column data output coupled to the bit line inputs, and a sub-array data output coupled to each bit line input. In memory computation operations are performed in the second mode as a function of feature data and weight data stored in the memory.

Abstract: The memory array of a memory includes sub-arrays with memory cells arranged in a row-column matrix where each row includes a word line and each sub-array column includes a local bit line. A row decoder circuit supports two modes of memory circuit operation: a first mode where only one word line in the memory array is actuated during a memory read and a second mode where one word line per sub-array are simultaneously actuated during the memory read. An input/output circuit for each column includes inputs to the local bit lines of the sub-arrays, a column data output coupled to the bit line inputs, and a sub-array data output coupled to each bit line input. Both BIST and ATPG testing of the input/output circuit are supported. For BIST testing, multiple data paths between the bit line inputs and the column data output are selectively controlled to provide complete circuit testing.

Abstract: The memory array of a circuit includes sub-arrays with memory cells arranged in a row-column matrix where each row includes a word line and each sub-array column includes a local bit line. A control circuit supports two modes of circuit operation: a first mode where only one word line in the memory array is actuated during a memory read and a second mode where one word line per sub-array are simultaneously actuated during the memory read. An input/output circuit for each column includes inputs to the local bit lines of the sub-arrays, a column data output coupled to the bit line inputs, and a sub-array data output coupled to each bit line input. In memory computation operations are performed in the second mode as a function of feature data and weight data stored in the memory.

Abstract: An array of a memory includes sub-arrays with memory cells arranged in a row-column matrix where each row includes a word line and each sub-array column includes a local bit line. A row decoder supports two modes of memory operation: a first mode where only one word line in the memory array is actuated during a read and a second mode where one word line per sub-array are simultaneously actuated during the read. An input/output circuit for each column includes inputs to the local bit lines of the sub-arrays, a column data output coupled to the bit line inputs, and a sub-array data output coupled to each bit line input. BIST testing of the input/output circuit is supported through data at both the column data output and the sub-array data outputs in order to confirm proper memory operation in support of both the first and second modes of operation.

Abstract: The present embodiments relate to generating input parameters for selecting a forecasting model. An example method includes a computing device receiving a time series comprising a plurality of data points, wherein each data point of the time series comprises a time associated with the data point and a value. The device can identify a first season and a second season from the time series, wherein a length of the first season is a factor of a length of the second season. The device can estimate a Fourier order and a seasonality mode for the first season based at least in part on the length of the first season and the length of the second season. The device can select a forecasting model to forecast a value of a future time step of the time series based at least in part on the Fourier order and the seasonality mode.

Abstract: Techniques are described for providing explanation information for time series-based predictions made using statistical models, such as linear statistical models, examples of which include various Exponential Smoothing models, Autoregressive Integrated Moving Average (ARIMA) models, and others. For a forecast predicted by a statistical model that has been trained upon and/or fit to a set of historical times series data points, an explanation is generated for the forecast, where the explanation for the forecast includes information indicative of the importance or impact or influence of individual time series data points in the set on the forecast. The explanation for the forecast may be output to a user along with the forecast. This enables the user to have some visibility into why the particular forecast was predicted by the statistical model.