| Article # 
			15_2019 47 
			p. 
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          submitted on 21th
			Feb 2019 displayed on 
			website on 30th 
			Sept    
			2019   Anastasia 
			Korzhavina, Vladimir KnyazkovHigh-precision computations using residue-interval arithmetic on 
			FPGAs
 The problem of round-off errors arises in a large number of 
			issues in various fields of knowledge, including computational 
			mathematics, mathematical physics, biochemistry, quantum mechanics, 
			mathematical programming. Today, experts place particular emphasis 
			on accuracy, fault tolerance, stability, and reproducibility of 
			computation results of numerical models when solving a wide range of 
			industrial and scientific problems, such as: mathematical modeling 
			and structural designs of aircrafts, cars, ships; process modeling 
			and computations for solving large-scale problems in the field of 
			nuclear physics, aerodynamics, gas, and hydrodynamics; problems on 
			reliable predictive modeling of climatic processes and forecasting 
			of global changes in the atmosphere and water environments; faithful 
			modeling of chemical processes and synthesis of pharmaceuticals, 
			etc. Floating-point arithmetic is the dominant choice for most 
			scientific applications. However, there are a lot of unsolvable with 
			double-precision arithmetic problems. A vast number of 
			floating-point arithmetic operations would be required to solve such 
			problems. Each operation carries round-off errors leading to 
			uncontrolled round-off errors and, consequently, incorrect results. 
			Many modeling and simulation problems need to increase the accuracy 
			of number representation to 100-1000 decimal digits or more to 
			obtain reliable results. In this regard, arbitrary-precision 
			arithmetic is becoming ever important. With this arithmetic, one can 
			use numbers, whose arbitrary precision is many times greater than 
			the word length of the conventional system. The paper proposes a new 
			way of representing integers and floats for computations in 
			super-large ranges – hybrid residue-positional interval logarithmic 
			number representation for performing high-precision and reliable 
			calculations in super-large numerical ranges.
			(in Russian).
 
 Key words: residue arithmetic, hybrid number systems, the 
			interval logarithmic number evaluation, high-precision computations, 
			long numbers.
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