ABSTRACT: Compact sets have important properties, and their studies have contributed to the development of functional analysis, particularly in the field of compact operators. In this paper, we ...
Abstract: While the Karatsuba algorithm reduces the complexity of large integer multiplication, the extra additions required minimize its benefits for smaller integers of more commonly-used bitwidths.
Abstract: This paper presents a Carbon Nanotube FET-based ternary matrix multiplication using systolic array architecture for applications towards ternary neural networks and image processing ...
ABSTRACT: Important operator characteristics (such boundedness or compactness) for particular classes of operators on particular reproducing kernel Hilbert spaces may be impacted by the behaviour of ...
With persistent fuel scarcity, Nigeria’s oil and gas sector stands at a critical crossroads, grappling with persistent challenges that demand immediate and decisive action. Despite the significant ...
Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Performance metrics like TFLOPS (10^12 floating-point operations per second) and memory bandwidth utilization (GB per second) are crucial for optimizing the matrix multiplication operators's ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback