Reduced complexity single and multiple constant multiplication in floating point precision

The purpose of these studies is to develop an effective structure and internal functional blocks of a digital computing device – an adder, that performs addition and subtraction operations on floating- point numbers presented in IEEE Std 754TM-2008 format. To improve the characteristics of the adder, the circuit uses conveying, that is, division into levels, each of which performs a specific action on numbers. This allows you to perform addition / subtraction operations on several numbers at the same time, which increas- es the performance of calculations, and also makes the adder suitable for use in modern synchronous cir- cuits. Each block of the conveyor structure of the adder on FPGA is synthesized as a separate project of a digital functional unit, and thus, the overall task is divided into separate subtasks, which facilitates experi- mental testing and phased debugging of the entire device. Experimental studies were performed using EDA Quartus II. The developed circuit was modeled on FPGAs of the Stratix III and Cyclone III family. An ana- logue of the developed circuit was a functionally similar device from Altera. A comparative analysis is made and reasoned conclusions are drawn that the performance improvement is achieved due to the conveyor structure of the adder. Implementation of arithmetic over the floating-point numbers on programmable logic integrated cir- cuits, in particular on FPGA, has such advantages as flexibility of use and low production costs, and also provides the opportunity to solve problems for which there are no ready-made solutions in the form of stand- ard devices presented on the market. The developed adder has a wide scope, since most modern computing devices need to process floating-point numbers. The proposed conveyor model of the adder is quite simple to implement on the FPGA and can be an alternative to using built-in multipliers and processor cores in cases where the complex functionality of these devices is redundant for a specific task.

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Floating Point Operations in PipeRench CGRA

International Journal of Scientific Research ◽

10.15373/22778179/nov2012/24 ◽

2012 ◽

Vol 1 (6) ◽

pp. 67-68

Author(s):

M. Somasekhar M. Somasekhar ◽

Keyword(s):

Floating Point

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ILP-Based Bitwidth-Aware Subexpression Sharing for Area Minimization in Multiple Constant Multiplication

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e97.a.931 ◽

2014 ◽

Vol E97.A (4) ◽

pp. 931-939

Author(s):

Bu-Ching LIN ◽

Juinn-Dar HUANG ◽

Jing-Yang JOU

Keyword(s):

Area Minimization ◽

Constant Multiplication

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Medicinal Chemistry Database GDBMedChem

10.26434/chemrxiv.7770809.v1 ◽

2019 ◽

Author(s):

Mahendra Awale ◽

Finton Sirockin ◽

Nikolaus Stiefl ◽

Jean-Louis Reymond

Keyword(s):

Small Molecules ◽

Natural Product ◽

Medicinal Chemistry ◽

3D Visualization ◽

Molecular Size ◽

Similarity Searching ◽

Complex Molecules ◽

Synthetic Accessibility ◽

Simple Chemical ◽

Reduced Complexity

<div>The generated database GDB17 enumerates 166.4 billion possible molecules up to 17 atoms of C, N, O, S and halogens following simple chemical stability and synthetic feasibility rules, however medicinal chemistry criteria are not taken into account. Here we applied rules inspired by medicinal chemistry to exclude problematic functional groups and complex molecules from GDB17, and sampled the resulting subset evenly across molecular size, stereochemistry and polarity to form GDBMedChem as a compact collection of 10 million small molecules.</div><div><br></div><div>This collection has reduced complexity and better synthetic accessibility than the entire GDB17 but retains higher sp 3 - carbon fraction and natural product likeness scores compared to known drugs. GDBMedChem molecules are more diverse and very different from known molecules in terms of substructures and represent an unprecedented source of diversity for drug design. GDBMedChem is available for 3D-visualization, similarity searching and for download at http://gdb.unibe.ch.</div>

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