Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze large amounts of data and rapidly generate desired content or identify ...

Abstract: Field-programmable gate arrays (FPGAs) can efficiently implement custom applications via their embedded digital signal processor (DSP) slices, including binary multipliers. An increasing ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

Abstract— Multipliers are crucial components in processors and arithmetic logic units. The performance of microsystems, microcontrollers, and DSP processors is often evaluated based on the number of ...

Abstract: The demand for efficient large integer polynomial multiplications in present day crypto-systems is the need of the hour. Toom-Cook multiplication algorithm being one of the most efficient ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.

This paper provides a method of the process of computation called the cumulative method, it is based upon repeated cumulative process. The cumulative method is being adapted to the purposes of ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

Computer scientists are a demanding bunch. For them, it’s not enough to get the right answer to a problem — the goal, almost always, is to get the answer as efficiently as possible. Take the act of ...