摘要:
Methods, apparatus, systems and articles of manufacture to determine and apply polarity-based error correction code are disclosed. In some examples, the methods and apparatus create an array by setting a first set of bit locations of a code word to have a first value and setting a second set of bit locations of the code word to have a second value different from the first value. In some examples, when the array satisfies a parity check, the methods and apparatus determine that bit locations having the first value from the array form a polarity-based error correction code.
摘要:
Computers and methods for performing mathematical functions are disclosed. An embodiment of a computer includes an operations level and a driver level. The operations level performs mathematical operations. The driver level includes a first lookup table and a second lookup table, wherein the first lookup table includes first data for calculating at least one mathematical function using a first level of accuracy. The second lookup table includes second data for calculating the at least one mathematical function using a second level of accuracy, wherein the first level of accuracy is greater than the second level of accuracy. A driver executes either the first data or the second data depending on a selected level of accuracy.
摘要:
In described examples, data are stored in a destructive read non-volatile memory (DRNVM). The DRNVM includes an array of DRNVM cells organized as rows of data. The rows of data are subdivided into columns of code word symbols. Each column of code word symbols is encoded to store an error correction code symbol for each column of code word symbols.
摘要:
Computers and methods for performing mathematical functions are disclosed. An embodiment of a computer includes an operations level and a driver level. The operations level performs mathematical operations. The driver level includes a first lookup table and a second lookup table, wherein the first lookup table includes first data for calculating at least one mathematical function using a first level of accuracy. The second lookup table includes second data for calculating the at least one mathematical function using a second level of accuracy, wherein the first level of accuracy is greater than the second level of accuracy. A driver executes either the first data or the second data depending on a selected level of accuracy.
摘要:
Computers and methods for performing mathematical functions are disclosed. An embodiment of a computer includes an operations level and a driver level. The operations level performs mathematical operations. The driver level includes a first lookup table and a second lookup table, wherein the first lookup table includes first data for calculating at least one mathematical function using a first level of accuracy. The second lookup table includes second data for calculating the at least one mathematical function using a second level of accuracy, wherein the first level of accuracy is greater than the second level of accuracy. A driver executes either the first data or the second data depending on a selected level of accuracy.
摘要:
An apparatus for a low energy accelerator processor architecture is disclosed. An example arrangement is an integrated circuit that includes a system bus having a data width N, where N is a positive integer; a central processor unit coupled to the system bus and configured to execute instructions retrieved from a memory; a low energy accelerator processor configured to execute instruction words received on the system bus and having a plurality of execution units including a load store unit, a load coefficient unit, a multiply unit, and a butterfly/adder ALU unit, wherein each of the execution units is configured to perform operations responsive to retrieved instruction words; and a data register file comprising a set of data registers coupled to the plurality of execution units, wherein the registers are coupled to selected ones of the plurality of execution units. Additional methods and apparatus are disclosed.
摘要:
A method of operating a memory circuit (FIGS. 8A and 8B) is disclosed. The method includes writing true data (01) to a plurality of bits (B0, B1). A first data state (0) is written to a signal bit (Bi) indicating the true data. The true data is read and complementary data (10) is written to the plurality of bits. A second data state (1) is written to the signal bit indicating the complementary data.
摘要:
A CRC (cyclic redundancy check) generator circuit (28) generates a first CRC code based on a message. The CRC code is amended to the message, creating a first data packet. Circuitry transforms the first data packet to a second data packet for suitable transmission. Digital receiver circuitry receives the second data packet. A CRC verification circuit compares a received digital CRC code portion of the second data packet to a calculated digital CRC code portion. A message is presented for processing if no error is detected. A CRC-based FEC (forward error correction) circuit receives the message and calculates a digital CRC code from the verification circuit. When an error is detected, the detected error, based on a determination of whether the detected error affects an even number of bits or an odd number of bits, is corrected.
摘要:
A method of operating a memory circuit (FIGS. 8A and 8B) is disclosed. The method includes writing true data (01) to a plurality of bits (B0, B1). A first data state (0) is written to a signal bit (Bi) indicating the true data. The true data is read and complementary data (10) is written to the plurality of bits. A second data state (1) is written to the signal bit indicating the complementary data.
摘要:
A method for disparity cost computation for a stereoscopic image is provided that includes computing path matching costs for external paths of at least some boundary pixels of a tile of a base image of the stereoscopic image, wherein a boundary pixel is a pixel at a boundary between the tile and a neighboring tile in the base image, storing the path matching costs for the external paths, computing path matching costs for pixels in the tile, wherein the stored path matching costs for the external paths of the boundary pixels are used in computing some of the path matching costs of some of the pixels in the tile, and computing aggregated disparity costs for the pixels in the tile, wherein the path matching costs computed for each pixel are used to compute the aggregated disparity costs for the pixel.