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  2. IBM 704 - Wikipedia

    en.wikipedia.org/wiki/IBM_704

    Designed by John Backus and Gene Amdahl, it was the first mass-produced computer with hardware for floating-point arithmetic. [1] [2] The IBM 704 Manual of operation states: [3] The type 704 Electronic Data-Processing Machine is a large-scale, high-speed electronic calculator controlled by an internally stored program of the single address type.

  3. Honeywell 6000 series - Wikipedia

    en.wikipedia.org/wiki/Honeywell_6000_series

    An eight-bit Exponent Register contained the exponent for floating point operations (the mantissa was in AQ). There were eight eighteen-bit index registers X0 through X7. [10] The 18-bit Base Address Register (BAR) contains the base address and number of 1024-word blocks assigned to the program (the 6180 used segmentation rather than the

  4. Delivery point - Wikipedia

    en.wikipedia.org/wiki/Delivery_point

    In a database, storing the ZIP+4 code in a 10 character field (with the hyphen) allows easy output in the address block, and storing the check digit in a 3-digit field (instead of calculating it) allows automatic checking of the validity of the ZIP+4 and delivery point fields in case one had been changed independently.

  5. ICT 1900 series - Wikipedia

    en.wikipedia.org/wiki/ICT_1900_series

    The large number of optional features in the FP6000 design gave ICT great flexibility in pricing. A notable feature of the series was the hardware support (in all except the smallest processors) for running multiple processes – every process ran in an independent address space, enforced by datum and limit registers. No user process could ...

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  7. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    Since 2 10 = 1024, the complete range of the positive normal floating-point numbers in this format is from 2 −1022 ≈ 2 × 10 −308 to approximately 2 1024 ≈ 2 × 10 308. The number of normal floating-point numbers in a system (B, P, L, U) where B is the base of the system, P is the precision of the significand (in base B),