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A scale factor of 1 ⁄ 10 cannot be used here, because scaling 160 by 1 ⁄ 10 gives 16, which is greater than the greatest value that can be stored in this fixed-point format. However, 1 ⁄ 11 will work as a scale factor, because the maximum scaled value, 160 ⁄ 11 = 14. 54, fits within this range. Given this set:
1.1 × 10 25 bits – entropy increase of 1 mole (18.02 g) of water, on vaporizing at 100 °C at standard pressure; equivalent to an average of 18.90 bits per molecule. [ 24 ] 1.5 × 10 25 bits – information content of 1 mole (20.18 g) of neon gas at 25 °C and 1 atm; equivalent to an average of 25.39 bits per atom.
compare two floats, 1 on NaN fcmpl 95 1001 0101 value1, value2 → result compare two floats, -1 on NaN fconst_0 0b 0000 1011 → 0.0f push 0.0f on the stack fconst_1 0c 0000 1100 → 1.0f push 1.0f on the stack fconst_2 0d 0000 1101 → 2.0f push 2.0f on the stack fdiv 6e 0110 1110 value1, value2 → result divide two floats fload 17 0001 0111
Sign bit: 1 bit; Exponent width: 5 bits; Significand precision: 11 bits (10 explicitly stored) The format is laid out as follows: The format is assumed to have an implicit lead bit with value 1 unless the exponent field is stored with all zeros. Thus, only 10 bits of the significand appear in the memory format but the total precision is 11 bits.
The VisSim company used fx m. b to denote a binary fixed-point value with b total bits and m bits in the integer part; that is, a b-bit integer with scaling factor 1/2 b−m. Thus fx1.16 would mean a 16-bit number with 1 bit in the integer part and 15 in the fraction. [13] The PS2 GS ("Graphics Synthesizer") User's Guide uses the notation s: m ...
Maxim Stepin's hq2x, hq3x, and hq4x are for scale factors of 2:1, 3:1, and 4:1 respectively. Each work by comparing the color value of each pixel to those of its eight immediate neighbors, marking the neighbors as close or distant, and using a pre-generated lookup table to find the proper proportion of input pixels' values for each of the 4, 9 ...
Wireless MMX provides 16 extra 64-bit registers that can be treated as an array of two 32-bit words, four 16-bit halfwords or eight 8-bit bytes. The XScale core can then perform up to eight adds or four MACs in parallel in a single cycle. This capability is used to boost speed in decoding and encoding of multimedia and in playing games.
Java also has a new proposed API for SIMD instructions available in OpenJDK 17 in an incubator module. [16] It also has a safe fallback mechanism on unsupported CPUs to simple loops. Instead of providing an SIMD datatype, compilers can also be hinted to auto-vectorize some loops, potentially taking some assertions about the lack of data dependency.