Most of the time we use normal for/foreach loops to loop the record for bulk inserts/updates
Instead of using simple for/foreach loops, if we use parallel for/foreach loop, it will improve lot of performance.
The syntax of a parallel loop is very similar to the for and foreach loops you already know, but the parallel loop runs faster on a computer that has available cores. Another difference is that, unlike a sequential loop, the order of execution isn’t defined for a parallel loop. Steps often take place at the same time, in parallel. Sometimes, two steps take place in the opposite order than they would if the loop were sequential. The only guarantee is that all of the loop’s iterations will have run by the time the loop finishes.
The Task Parallel Library (TPL) supports data parallelism through the System.Threading.Tasks.Parallel class. This class provides method-based parallel implementations of for and foreach loops (For and For Each in Visual Basic). You write the loop logic for a Parallel.For or Parallel.ForEach loop much as you would write a sequential loop. You do not have to create threads or queue work items. In basic loops, you do not have to take locks. The TPL handles all the low-level work for you. For in-depth information about the use of Parallel.For and Parallel.ForEach , download the document Patterns for Parallel Programming: Understanding and Applying Parallel Patterns with the .NET Framework 4
nice article. For clear example on Bulk create or update on MS CRM given in below link
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