并行速度比较

对内存中的数据做并行运算，

AsParallel(并行化）

就是在集合后加个AsParallel()

性能比较： 并行用了27秒，不用并行用了33秒

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var Elements = EleList.Where(m =>                                         {                                             foreach (var rule in tmpRules)                                             {                                                 rule.Status = false;                                                 if (!rule.Match(m))                                                 {                                                     break;                                                 }                                             }                                             return tmpRules.Where(r => r.Status == false).Count() == 0;                                         }).AsParallel().ToList();

　使用QueueUserWorkItem，速度又有所提升，大概10秒左右　

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var doneEvent = new ManualResetEvent(false); int taskCount = 0;   for (int i = 0; i < filteredEleList.Count; i++) {     int index = i;     Interlocked.Increment(ref taskCount);     matchTmpRules[index] = tmpRules;       ThreadPool.QueueUserWorkItem((object evt) =>     {         try         {             var field = filteredEleList[index];                           foreach (var rule in matchTmpRules[index])             {                 rule.Status = false;                 if (!rule.Match(field))                 {                     break;                 }             }               if(tmpRules.Where(r => r.Status == false).Count() == 0)             {                 tmpElements.Add(field);             }           }         catch (Exception ex)         {             //Logger.Write(ex, "There was an error while trying to match field '" + fields[index].Name + "'.");         }         finally         {             if (Interlocked.Decrement(ref taskCount) == 0)             {                 doneEvent.Set();             }         }     }, null);   } doneEvent.WaitOne();