How can I generate pseudorandom numbers in p3sim assembler











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How can I do it if I want to generate numbers between x and y.Or how could I import the time in miliseconds if I wanted to use that method










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  • seeding a PRNG with the time is a separate question from choosing a PRNG algorithm to generate a (uniform?) distribution of integers over a range. What quality of random numbers do you need? Like cryptographically secure? Good enough for numeric simulations? Or super-simple like a linear congurential generator? I don't know p3, but if it doesn't have divide / modulo then an xorshift+ generator might be the easiest fast PRNG to implement.
    – Peter Cordes
    Nov 18 at 18:37










  • Just super simple hex numbers in a range
    – GSTIG
    Nov 18 at 18:40












  • Hex is a text serialization format for numbers. It has nothing to do with how you generate the binary integer in a register or memory. Anyway, if you want simple, google linear congruential generator and/or xorshift+ and take your pick.
    – Peter Cordes
    Nov 18 at 18:42










  • hex as in hexadecimal.Thanks
    – GSTIG
    Nov 18 at 18:45










  • That's what I was talking about. Numbers in registers are in binary. You can convert a number to / from a hex or decimal ASCII string to print it or read it, but add instructions work on binary numbers.
    – Peter Cordes
    Nov 18 at 18:53















up vote
0
down vote

favorite












How can I do it if I want to generate numbers between x and y.Or how could I import the time in miliseconds if I wanted to use that method










share|improve this question
























  • seeding a PRNG with the time is a separate question from choosing a PRNG algorithm to generate a (uniform?) distribution of integers over a range. What quality of random numbers do you need? Like cryptographically secure? Good enough for numeric simulations? Or super-simple like a linear congurential generator? I don't know p3, but if it doesn't have divide / modulo then an xorshift+ generator might be the easiest fast PRNG to implement.
    – Peter Cordes
    Nov 18 at 18:37










  • Just super simple hex numbers in a range
    – GSTIG
    Nov 18 at 18:40












  • Hex is a text serialization format for numbers. It has nothing to do with how you generate the binary integer in a register or memory. Anyway, if you want simple, google linear congruential generator and/or xorshift+ and take your pick.
    – Peter Cordes
    Nov 18 at 18:42










  • hex as in hexadecimal.Thanks
    – GSTIG
    Nov 18 at 18:45










  • That's what I was talking about. Numbers in registers are in binary. You can convert a number to / from a hex or decimal ASCII string to print it or read it, but add instructions work on binary numbers.
    – Peter Cordes
    Nov 18 at 18:53













up vote
0
down vote

favorite









up vote
0
down vote

favorite











How can I do it if I want to generate numbers between x and y.Or how could I import the time in miliseconds if I wanted to use that method










share|improve this question















How can I do it if I want to generate numbers between x and y.Or how could I import the time in miliseconds if I wanted to use that method







assembly






share|improve this question















share|improve this question













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share|improve this question








edited Nov 19 at 0:40









K.Dᴀᴠɪs

6,017102140




6,017102140










asked Nov 18 at 18:33









GSTIG

1




1












  • seeding a PRNG with the time is a separate question from choosing a PRNG algorithm to generate a (uniform?) distribution of integers over a range. What quality of random numbers do you need? Like cryptographically secure? Good enough for numeric simulations? Or super-simple like a linear congurential generator? I don't know p3, but if it doesn't have divide / modulo then an xorshift+ generator might be the easiest fast PRNG to implement.
    – Peter Cordes
    Nov 18 at 18:37










  • Just super simple hex numbers in a range
    – GSTIG
    Nov 18 at 18:40












  • Hex is a text serialization format for numbers. It has nothing to do with how you generate the binary integer in a register or memory. Anyway, if you want simple, google linear congruential generator and/or xorshift+ and take your pick.
    – Peter Cordes
    Nov 18 at 18:42










  • hex as in hexadecimal.Thanks
    – GSTIG
    Nov 18 at 18:45










  • That's what I was talking about. Numbers in registers are in binary. You can convert a number to / from a hex or decimal ASCII string to print it or read it, but add instructions work on binary numbers.
    – Peter Cordes
    Nov 18 at 18:53


















  • seeding a PRNG with the time is a separate question from choosing a PRNG algorithm to generate a (uniform?) distribution of integers over a range. What quality of random numbers do you need? Like cryptographically secure? Good enough for numeric simulations? Or super-simple like a linear congurential generator? I don't know p3, but if it doesn't have divide / modulo then an xorshift+ generator might be the easiest fast PRNG to implement.
    – Peter Cordes
    Nov 18 at 18:37










  • Just super simple hex numbers in a range
    – GSTIG
    Nov 18 at 18:40












  • Hex is a text serialization format for numbers. It has nothing to do with how you generate the binary integer in a register or memory. Anyway, if you want simple, google linear congruential generator and/or xorshift+ and take your pick.
    – Peter Cordes
    Nov 18 at 18:42










  • hex as in hexadecimal.Thanks
    – GSTIG
    Nov 18 at 18:45










  • That's what I was talking about. Numbers in registers are in binary. You can convert a number to / from a hex or decimal ASCII string to print it or read it, but add instructions work on binary numbers.
    – Peter Cordes
    Nov 18 at 18:53
















seeding a PRNG with the time is a separate question from choosing a PRNG algorithm to generate a (uniform?) distribution of integers over a range. What quality of random numbers do you need? Like cryptographically secure? Good enough for numeric simulations? Or super-simple like a linear congurential generator? I don't know p3, but if it doesn't have divide / modulo then an xorshift+ generator might be the easiest fast PRNG to implement.
– Peter Cordes
Nov 18 at 18:37




seeding a PRNG with the time is a separate question from choosing a PRNG algorithm to generate a (uniform?) distribution of integers over a range. What quality of random numbers do you need? Like cryptographically secure? Good enough for numeric simulations? Or super-simple like a linear congurential generator? I don't know p3, but if it doesn't have divide / modulo then an xorshift+ generator might be the easiest fast PRNG to implement.
– Peter Cordes
Nov 18 at 18:37












Just super simple hex numbers in a range
– GSTIG
Nov 18 at 18:40






Just super simple hex numbers in a range
– GSTIG
Nov 18 at 18:40














Hex is a text serialization format for numbers. It has nothing to do with how you generate the binary integer in a register or memory. Anyway, if you want simple, google linear congruential generator and/or xorshift+ and take your pick.
– Peter Cordes
Nov 18 at 18:42




Hex is a text serialization format for numbers. It has nothing to do with how you generate the binary integer in a register or memory. Anyway, if you want simple, google linear congruential generator and/or xorshift+ and take your pick.
– Peter Cordes
Nov 18 at 18:42












hex as in hexadecimal.Thanks
– GSTIG
Nov 18 at 18:45




hex as in hexadecimal.Thanks
– GSTIG
Nov 18 at 18:45












That's what I was talking about. Numbers in registers are in binary. You can convert a number to / from a hex or decimal ASCII string to print it or read it, but add instructions work on binary numbers.
– Peter Cordes
Nov 18 at 18:53




That's what I was talking about. Numbers in registers are in binary. You can convert a number to / from a hex or decimal ASCII string to print it or read it, but add instructions work on binary numbers.
– Peter Cordes
Nov 18 at 18:53

















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