Abstract: With the rapid development of quantum computing technology, traditional public key cryptographic systems face serious threats. Post-quantum cryptographic algorithms have become an important ...
Abstract: Transformers have become the backbone of large language decoder and encoder models, but their compute- and memory-intensive nature makes them inefficient on traditional von Neumann ...
Abstract: Integrated Sensing and Communication (ISAC) has emerged as a promising approach to improve resource efficiency in wireless systems, particularly for radar and communication functions.
If you are interested in performing additional calculations on Promise<T>, you may find this small library useful. Mutex, producer-consumer separation (side-effect operation), signaling (flag control) ...
Abstract: Contemporary GPU architectures integrate specialized computing units for matrix multiplication, named matrix multiplication units (MXUs), to effectively process neural network applications.
Abstract: We propose a hardware-efficient optical matrix processor based on low-rank approximation, utilizing narrowband filters of microring resonators (MRRs) and broadband Mach-Zehnder ...
Abstract: This paper addresses the significant challenge of executing inference tasks involving General Matrix Multiplication (GEMM) in deep neural networks(DNN) on resource-constrained edge systems.
Mathly for Lua is a Lua module that turns Lua into a tiny, portable, free but powerful MATLAB and more. It provides a group of commonly used MATLAB functions and features, including linspace, zeros, ...
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