2008 International Conference on Field-Programmable Technology 2008
DOI: 10.1109/fpt.2008.4762411
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Extending Booth algorithm to multiplications of three numbers on FPGAs

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Cited by 3 publications
(6 citation statements)
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“…By this we assume that all the TAI operations have the two properties of (a) fast circuits and (b) partition to pipeline stages that are needed for modern CPUs. (see Ben Asher and Stein [2] for an extension of Booth technique to handle MUL3).…”
Section: Using Three Argument Instructionsmentioning
confidence: 97%
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“…By this we assume that all the TAI operations have the two properties of (a) fast circuits and (b) partition to pipeline stages that are needed for modern CPUs. (see Ben Asher and Stein [2] for an extension of Booth technique to handle MUL3).…”
Section: Using Three Argument Instructionsmentioning
confidence: 97%
“…For example, HR can transform a chain of additions to a binary tree of additions thus reducing its critical path to log of the original length. 2 VLIW scheduling is the problem of determining a minimal sequence of VLIW instructions (wide instructions that executes several operations in parallel) that, when executed, evaluates a given AC. Obviously the critical path of the AC bounds from bellow the number of VLIW instructions needed to evaluate it.…”
Section: Introductionmentioning
confidence: 99%
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“…Thus there is a need to find a practical algorithm for multiplying three integers. The proposed RM algorithm uses a general scheme for three numbers multiplication (EBooth) proposed in [1]. This is an extension of the well known Booth algorithm for 2-mull.…”
Section: Introductionmentioning
confidence: 99%
“…For example, multiplying y by 01111100 will produce two addends (adding y shifted to the MSB, and subtracting y shifted left twice) rather than producing five addends, adding y shifted left twice to sixth times each, consecutively. In this work we use the EBooth scheme [1] as a basis to develop a practical algorithm for multiplying three integers on the RM. This is due to the use of simple operations rather then using the Chinese Reminder theorem (used in [8]) or Radar Transform in a multidimensional space (used in [3]), which implies complexity of O(1) yet hidden large constants, as mentioned above.…”
Section: Introductionmentioning
confidence: 99%