Whether modifying an existingrnapplication or writing entirely new code, parallel applications can be much more challenging to work with than their sequential counterparts.rnWithout a doubt, the high-level abstractions and APIs commonly usedrntoday greatly simplify the process, but most methods still require manual identification of parallel code sections, as well as consideration of such issues as race conditions and synchronization among parallel tasks. And as the number of CPU cores on a single chip grows,rnthe corresponding applications that take advantage of this hardware will be even more likely to result in parallel programming pain.
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