Memristor-based dividers using memristors-as-drivers (MAD) gates. As a result of employing MAD gates in memristor-based dividers, such as binary non-restoring dividers and SRT dividers, the number of delay steps may be less than half than the number of delay steps required in traditional CMOS implementations of dividers. Furthermore, by using MAD gates, memristor-based dividers can be implemented with less complexity (e.g., fewer memristors and drivers). As a result, by the memristor-based dividers using MAD gates, the speed and complexity of a wide variety of arithmetic operations is improved.

Aspects for vector operations in neural network are described herein. The aspects may include a vector caching unit configured to store a first vector and a second vector, wherein the first vector includes one or more first elements and the second vector includes one or more second elements. The aspects may further include one or more adders and a combiner. The one or more adders may be configured to respectively add each of the first elements to a corresponding one of the second elements to generate one or more addition results. The combiner may be configured to combine a combiner configured to combine the one or more addition results into an output vector.

Aspects for vector operations in neural network are described herein. The aspects may include a vector caching unit configured to store a first vector and a second vector, wherein the first vector includes one or more first elements and the second vector includes one or more second elements. The aspects may further include one or more adders and a combiner. The one or more adders may be configured to respectively add each of the first elements to a corresponding one of the second elements to generate one or more addition results. The combiner may be configured to combine a combiner configured to combine the one or more addition results into an output vector.

Aspects for vector operations in neural network are described herein. The aspects may include a vector caching unit configured to store a first vector and a second vector, wherein the first vector includes one or more first elements and the second vector includes one or more second elements. The aspects may further include one or more adders and a combiner. The one or more adders may be configured to respectively add each of the first elements to a corresponding one of the second elements to generate one or more addition results. The combiner may be configured to combine a combiner configured to combine the one or more addition results into an output vector.

Memristor-based multipliers using memristors-as-drivers (MAD) gates. As a result of employing MAD gates in memristor-based multipliers, such as shift-and-add multipliers, Booth multipliers and array multipliers, the number of delay steps may be less than half than the number of delay steps required in traditional CMOS implementations of multipliers. Furthermore, by using MAD gates, memristor-based multipliers can be implemented with less complexity (e.g., fewer memristors and drivers). As a result, by the memristor-based multipliers using MAD gates, the speed and complexity of a wide variety of arithmetic operations is improved.

Memristor-based multipliers using memristors-as-drivers (MAD) gates. As a result of employing MAD gates in memristor-based multipliers, such as shift-and-add multipliers, Booth multipliers and array multipliers, the number of delay steps may be less than half than the number of delay steps required in traditional CMOS implementations of multipliers. Furthermore, by using MAD gates, memristor-based multipliers can be implemented with less complexity (e.g., fewer memristors and drivers). As a result, by the memristor-based multipliers using MAD gates, the speed and complexity of a wide variety of arithmetic operations is improved.

Memristor-based dividers using memristors-as-drivers (MAD) gates. As a result of employing MAD gates in memristor-based dividers, such as binary non-restoring dividers and SRT dividers, the number of delay steps may be less than half than the number of delay steps required in traditional CMOS implementations of dividers. Furthermore, by using MAD gates, memristor-based dividers can be implemented with less complexity (e.g., fewer memristors and drivers). As a result, by the memristor-based dividers using MAD gates, the speed and complexity of a wide variety of arithmetic operations is improved.

Memristor-based dividers using memristors-as-drivers (MAD) gates. As a result of employing MAD gates in memristor-based dividers, such as binary non-restoring dividers and SRT dividers, the number of delay steps may be less than half than the number of delay steps required in traditional CMOS implementations of dividers. Furthermore, by using MAD gates, memristor-based dividers can be implemented with less complexity (e.g., fewer memristors and drivers). As a result, by the memristor-based dividers using MAD gates, the speed and complexity of a wide variety of arithmetic operations is improved.

Provided is a computation method of a memory processor configured to perform an operation between a first vector including first elements and a second vector including second elements, the first elements including respective first bits and the second elements including respective second bits, the method performed by the memory processor including: applying, to single-bit operation gates, the respective first bits and the respective second bits; obtaining bit operation result sum values for the respective first and second elements based on bit operation results obtained using the single-bit operation gates; and obtaining an operation result of the first vector and the second vector based on the bit operation result sum value.

Provided is a computation method of a memory processor configured to perform an operation between a first vector including first elements and a second vector including second elements, the first elements including respective first bits and the second elements including respective second bits, the method performed by the memory processor including: applying, to single-bit operation gates, the respective first bits and the respective second bits; obtaining bit operation result sum values for the respective first and second elements based on bit operation results obtained using the single-bit operation gates; and obtaining an operation result of the first vector and the second vector based on the bit operation result sum value.