Aspects of the invention include decoding a base address and an offset to generate a first potential memory address and a second potential memory address. A first cell data associated with the first potential memory address of a first partitioned array and a second cell data associated with a second partitioned array are evaluated. Carry-out bit information is received from a summing operation of the base address and the offset, the operating being performed in parallel to the decoding. The carry-out bit information is used to select either the first cell data or the second cell data.

A two-port ternary content addressable memory (TCAM) and layout pattern thereof, and associated memory device are provided. The two-port TCAM may include a first storage unit, a second storage unit, a set of first search terminals, a set of second search terminals, a first comparison circuit, a second comparison circuit, a first match terminal and a second match terminal, wherein the first comparison circuit is respectively coupled to the first storage unit, the second storage unit, the set of first search terminals and the first match terminal, and the second comparison circuit is respectively coupled to the first storage unit, the second storage unit, the set of second search terminals and the second match terminal. First search data and second search data may be concurrently inputted into the two-port TCAM for determining whether the first search data and the second search data match content data within the two-port TCAM.

A processor-implemented method of processing neural network data includes: setting first limit data by performing a first operation based on first input data and weight data generated from weights included in a filter; comparing the first limit data with an intermediate result of a second operation performed based on second input data and the weight data; and determining whether to perform a subsequent second operation based on a result of the comparing.

A processor-implemented method of processing neural network data includes: setting first limit data by performing a first operation based on first input data and weight data generated from weights included in a filter; comparing the first limit data with an intermediate result of a second operation performed based on second input data and the weight data; and determining whether to perform a subsequent second operation based on a result of the comparing.

A two-port ternary content addressable memory (TCAM) and layout pattern thereof, and associated memory device are provided. The two-port TCAM may include a first storage unit, a second storage unit, a set of first search terminals, a set of second search terminals, a first comparison circuit, a second comparison circuit, a first match terminal and a second match terminal, wherein the first comparison circuit is respectively coupled to the first storage unit, the second storage unit, the set of first search terminals and the first match terminal, and the second comparison circuit is respectively coupled to the first storage unit, the second storage unit, the set of second search terminals and the second match terminal. First search data and second search data may be concurrently inputted into the two-port TCAM for determining whether the first search data and the second search data match content data within the two-port TCAM.

Compressed domain processors configured to perform operations on data compressed in a format that preserves order. The Compressed domain processors may include operations such as addition, subtraction, multiplication, division, sorting, and searching. In some cases, compression engines for compressing the data into the desired formats are provided.

Compressed domain processors configured to perform operations on data compressed in a format that preserves order. The Compressed domain processors may include operations such as addition, subtraction, multiplication, division, sorting, and searching. In some cases, compression engines for compressing the data into the desired formats are provided.

A method of processing numerical data via a processing device is disclosed. The processing device includes a memory and a processor coupled to the memory, and the method includes identifying, via the processor, a highest non-zero bit of first numerical data, the first numerical data being of a first bit count, identifying, via the processor, a second-highest non-zero bit of the first numerical data, and generating, via the processor, a numerical representation of the first numerical data according to the highest non-zero bit and the second-highest non-zero bit. The numerical representation is of a second bit count smaller than the first bit count of the first numerical data.

Hardware logic arranged to normalise (or renormalise) an n-bit input number is described in which at least a proportion of a left shifting operation is performed in parallel with a leading zero count operation. In various embodiments the left shifting and the leading zero count are performed independently. In various other embodiments, a subset of the bits output by a leading zero counter are input to a left shifter and the output from the left shifter is input to a renormalisation block which completes the remainder of the left shifting operation independently of any further input from the leading zero counter.

Hardware logic arranged to normalise (or renormalise) an n-bit input number is described in which at least a proportion of a left shifting operation is performed in parallel with a leading zero count operation. In various embodiments the left shifting and the leading zero count are performed independently. In various other embodiments, a subset of the bits output by a leading zero counter are input to a left shifter and the output from the left shifter is input to a renormalisation block which completes the remainder of the left shifting operation independently of any further input from the leading zero counter.