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Abstract: This paper addresses the constrained multi-objective optimization problem of sparse conformal arrays designing. The objective of array synthesis is to find an optimal element arrangement on ...

Abstract: The main purpose of this paper is to review the framework behind direct digital synthesizer phase-locked loops (DDS-PLLs), as well as to provide a set of novel techniques that can be used ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Cyclops is a parallel (distributed-memory) numerical library for multidimensional arrays (tensors) in C++ and Python. Quick documentation links: C++ and Python. Broadly, Cyclops provides tensor ...

The C++ interface provides low level access to the native components of Kompute, enabling for advanced optimizations as well as extension of components. The Python package provides a high level ...

Department of NEUROFARBA, Division of Pharmaceutical and Nutraceutical Sciences, University of Florence, via U. Schiff 6, Sesto F.no, Florence 50019, Italy ...

The Shor's algorithm can find solutions to the discrete logarithm problem on binary elliptic curves in polynomial time. A major challenge in implementing Shor's algorithm is the overhead of ...

Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan ...