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pro vyhledávání: '"Meech, James T."'
This article presents an electron tunneling noise programmable random variate accelerator for accelerating the sampling stage of Monte Carlo simulations. We used the LiteX framework to generate a FemtoRV imfc RISC-V instruction set soft processor and
Externí odkaz:
http://arxiv.org/abs/2403.16421
Autor:
Meech, James T.
We present a new high-level synthesis methodology for using large language model tools to generate hardware designs. The methodology uses exclusively open-source tools excluding the large language model. As a case study, we use our methodology to gen
Externí odkaz:
http://arxiv.org/abs/2311.03489
Most modern computing tasks have digital electronic input and output data. Due to these constraints imposed by real-world use cases of computer systems, any analog computing accelerator, whether analog electronic or optical, must perform an analog-to
Externí odkaz:
http://arxiv.org/abs/2308.01719
Autor:
Meech, James T.
Computing accelerators must significantly improve at least one metric such as: cost, speed, or efficiency for customers to find them useful. They must do this for at least one application that large numbers of users care about to become a commercial
Externí odkaz:
http://arxiv.org/abs/2304.01012
Sensors with digital outputs require software conversion routines to transform the unitless analogue-to-digital converter samples to physical quantities with correct units. These conversion routines are computationally complex given the limited compu
Externí odkaz:
http://arxiv.org/abs/2108.11374
This article presents an algorithm for reducing measurement uncertainty of one physical quantity when given oversampled measurements of two physical quantities with correlated noise. The algorithm assumes that the aleatoric measurement uncertainty in
Externí odkaz:
http://arxiv.org/abs/2101.02067
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