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By default, only critical sections that are currently owned will be shown Notice that the owning thread's OS 10 is easily accessible in the output, which can be matched up with thread IDs in a kernel debugging session (ie, with the ! t h re a d s command) or in the output of the - thread listing command You can specify that all locks, regardless of ownership status, be printed with ! loc k s - v Also note that dumping the TEB information for threads with the ! t e b command also lists a count of the current number of locks owned by a particular thread

For example, given some existing sequential code with a few loops in it:

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Displaying the value stored in a byte requires two hexadecimal digits The bottom four bits in a byte are represented by one digit (the least-significant, or rightmost, digit) and the top four bits in the byte are represented by another digit (the most significant, or leftmost, digit) Converting the two digits must be done one at a time, which means that we have to separate the single byte into two 4-bit quantities, which are often called nybbles To split a byte in two, we need to mask out the unwanted half This is done with an AND instruction Note in Byte2Str that the first instruction, MOV DI,AX, copies the value to be converted (which is in AL) into DI You don't need to move AH into DI here, but there is no instruction to move an 8-bit register half such as AL into a 16-bit register such as DI AH comes along for the ride, but we really don't need it The second instruction masks out the high 12 bits of DI using AND This eliminates whatever might have earlier been in free rider AH, as well as the high 4 bits of AL What's left in DI is all we want: the lower 4 bits of what was originally passed to the routine in AL

for ( i nt i = 0 j i < Nj i++) A ( i ) j for ( i nt j = 0 L j j < Mj j ++ ) B ( j ) j List<T> 1st = j forea c h ( T e in 1 s t ) C ( e ) j

P a r a l l e l F or ( 0 , N, i => A ( i j Parallel F o r ( 0 L , M, j = > B ( j j List<T> 1st = j P a r a l l e l Fo r E a c h ( l st , e = > C ( e j

The use of C# 30 lambda syntax makes the transformation from sequential to parallel elegant and helps to minimize the differences Of course, as we discussed in previous chapters, the fact that you can paral lelize a loop such as this doesn't imply that you should Functions A, B, and C, for example, must be able to tolerate being called in parallel In fact, in the extreme, all iterations will be running in parallel In practice, the realized parallelism will be limited by the machine's resources and current activity Each loop API provides an overload that accepts a P a r a l l e lState object as an argument to the action delegate This can be used to voluntarily terminate the loop early, as with the b r e a k statement in ordinary for and forea c h loops

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