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Christoffer Åleskog, Håkan Grahn and Anton Borg
As machine learning and AI continue to rapidly develop, and with the ever-closer end of Moore?s law, new avenues and novel ideas in architecture design are being created and utilized. One avenue is accelerating AI as close to the user as possible, i.e., ...
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Leonid V. Moroz, Volodymyr V. Samotyy and Oleh Y. Horyachyy
Many low-cost platforms that support floating-point arithmetic, such as microcontrollers and field-programmable gate arrays, do not include fast hardware or software methods for calculating the square root and/or reciprocal square root. Typically, such f...
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Konstantin Isupov
Residue number system (RNS) is known for its parallel arithmetic and has been used in recent decades in various important applications, from digital signal processing and deep neural networks to cryptography and high-precision computation. However, compa...
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Varadarajan Rengaraj, Michael Lass, Christian Plessl and Thomas D. Kühne
In scientific computing, the acceleration of atomistic computer simulations by means of custom hardware is finding ever-growing application. A major limitation, however, is that the high efficiency in terms of performance and low power consumption entail...
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John L. Gustafson,Isaac T. Yonemoto
Pág. 71 - 86
A new data type called a posit is designed as a direct drop-in replacement for IEEE Standard 754 floating-point numbers (floats). Unlike earlier forms of universal number (unum) arithmetic, posits do not require interval arithmetic or variable size opera...
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