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odd numbered processes sending then receiving while the even processes receive and then send The sends are blocking sends, but this version of the ring test still is deadlock-free since each send always has a posted receive *******************************************************************/ #define IS_ODD(x) ((x)%2) /* test for an odd int */ #include "mpih" ring( double *x, /* message to shift around the ring */ double *incoming, /* buffer to hold incoming message */ int buff_count, /* size of message */ int num_procs, /* total number of processes */a int num_shifts, /* numb of times to shift message */ int my_ID) /* process id number */ { int next; /* process id of the next process */ int prev; /* process id of the prev process */ int i; MPI_Status stat; /******************************************************************* ** In this ring method, odd processes snd/rcv and even processes rcv/snd ******************************************************************/ next = (my_ID +1 )%num_procs; prev = ((my_ID==0) (num_procs-1):(my_ID-1)); if( IS_ODD(my_ID) ){ for(i=0;i<num_shifts; i++){ MPI_Send (x, buff_count, MPI_DOUBLE, next, 3, MPI_COMM_WORLD); MPI_Recv (incoming, buff_count, MPI_DOUBLE, prev, 3, MPI_COMM_WORLD, &stat); }

mathfrexp(x) mathfsum(i) mathhypot(x, y) mathisinf(x) mathisnan(x) mathldexp(m, e) mathlog(x, b) mathlog10(x) mathlog1p(x) mathmodf(x)

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You will notice the PRIMARY KEY statement following the definition of the sku column That statement adds a PK to the table on the sku column, something that is simple and quick However, this method has one inherent problem When SQL Server creates a PK in the database, every PK has a name associated with it Using this method, we don t specify a name, so SQL Server makes one up In this case it was PK_Products_30242045 The name is based on the table name and some random numbers On the surface, this doesn t seem to be a big problem, but what if you later need to delete the PK from this table If you have proper change control in your environment, then you will create a script to drop the key and you will drop the key from a quality assurance server first Once tests confirm that nothing else will break when this key

Table 26 The Math Module s Functions and Constants #2

} else{ for(i=0;i<num_shifts; i++){ MPI_Recv (incoming, buff_count, MPI_DOUBLE, prev, 3, MPI_COMM_WORLD, &stat); MPI_Send (x, buff_count, MPI_DOUBLE, next, 3, MPI_COMM_WORLD); } } }

Syntax mathpi mathpow(x, y) mathradians(d) mathsin(x) mathsinh(x) mathsqrt(x) mathtan(x) mathtanh(x) mathtrunc(x)

The constant ; approximately 3141 592 653 589 793 1 Returns xy as a float Converts float d from degrees to radians Returns the sine of x in radians Returns the hyperbolic sine of x in radians Returns x Returns the tangent of x in radians Returns the hyperbolic tangent of x in radians Returns the whole part of x as an int; same as int(x)

The total runtime for an MPI program is given by the time required by the slowest processor So to report a single number for the time, we need to determine the maximum of the times taken by each processors We do this with a single call to MPI_Reduce() with MPI_MAX

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This requires us to import the sys module The sysfloat_info object has many attributes; sysfloat_infoepsilon is effectively the smallest difference that the machine can distinguish between two oating-point numbers On one of the author s 32-bit machines it is just over 0000 000 000 000 000 2 (Epsilon is the traditional name for this number) Python floats normally provide reliable accuracy for up to 17 signi cant digits If you type sysfloat_info into IDLE, all its attributes will be displayed; these include the minimum and maximum oating-point numbers the machine can represent And typing help(sysfloat_info) will print some information about the sysfloat_info object Floating-point numbers can be converted to integers using the int() function which returns the whole part and throws away the fractional part, or using round() which accounts for the fractional part, or using mathfloor() or mathceil() which convert down to or up to the nearest integer The floatis_integer() method returns True if a oating-point number s fractional part is 0, and a float s fractional representation can be obtained using the floatas_integer_ratio() method For example, given x = 275, the call xas_integer_ratio() returns (11, 4) Integers can be converted to oatingpoint numbers using float() Floating-point numbers can also be represented as strings in hexadecimal format using the floathex() method Such strings can be converted back to oating-point numbers using the floatfromhex() method For example:

s = 1425hex() # str s == '0x1c800000000000p+3'

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