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Alexander M Griessing

from San Jose, CA
Age ~51

Alexander Griessing Phones & Addresses

  • San Jose, CA
  • Sunnyvale, CA
  • Santa Clara, CA
  • 513 Porpoise Bay Ter APT C, Sunnyvale, CA 94089 (408) 591-7690

Work

Position: Production Occupations

Education

Degree: High school graduate or higher

Emails

Publications

Us Patents

Overflow Detection System For Multiplication

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US Patent:
20040167954, Aug 26, 2004
Filed:
Feb 21, 2003
Appl. No.:
10/370054
Inventors:
Alexander Griessing - Sunnyvale CA, US
Assignee:
INFINEON TECHNOLOGIES NORTH AMERICA CORP. - San Jose CA
International Classification:
G06F007/38
US Classification:
708/552000
Abstract:
A math device has a multiplier and an overflow detector. The multiplier multiplies an n-bit input with an m-bit input and produces a reduced width output without producing an intervening data file having a width greater than or equal to n+m. The overflow detector determines if the reduced width output eliminates non-redundant bits. According to a second aspect, the overflow detector determines when the product of the m-bit input and the n-bit input would exceed o-bits, where o

New Arithmetic Logic Unit With Merged Circuitry For Comparison, Minimum/Maximum Selection And Saturation For Signed And Unsigned Numbers

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US Patent:
20040205094, Oct 14, 2004
Filed:
Apr 9, 2003
Appl. No.:
10/411409
Inventors:
Alexander Griessing - Sunnyvale CA, US
Assignee:
Infineon Technologies North America Corp.
International Classification:
G06F007/00
US Classification:
708/200000
Abstract:
A saturation-capable arithmetic logic unit (ALU) includes a general-purpose comparator coupled to receive a data value and a saturation threshold value during a saturation operation. Using the general-purpose comparator of the ALU for saturation minimizes circuit area without adversely affecting microprocessor performance. In an unsigned saturation operation, the data value is replaced with the threshold value when the data value is greater than the threshold value. In a signed saturation operation, positive data values are compared with an upper threshold value and negative data values are compared with a lower threshold value. In this manner, the data value need only be compared to either the upper or lower threshold value, rather than both. If the data value falls outside the bounds set by the upper and lower threshold values, the data value is replaced with the nearest threshold value.
Alexander M Griessing from San Jose, CA, age ~51 Get Report