MD5与SHA算法一样,利用他们可以计算某段数据的唯一hash值,常用做校验码。而MD5比SHA算法性能高。在我参加的一个项目中,主要用MD5码值来去重,因此对计算性能要求较高。网上有对MD5算法并行化方法,能保证计算结果与线性计算法一样。由于我只需要唯一标记,并不要求它与线性MD5计算结果一样,所以,我通过分片多线程计算的方法实现提速,也充分利用了多核CPU的并行计算优势。
依据:
B = (b1,b2,b3,b4...bn)--->(m1,m2,m3...mn)----+--->M---->(md5) result = 16 bytes
C#代码:
class SafeQueue<T> { // A queue that is protected by Monitor. private Queue<T> m_inputQueue = new Queue<T>(); // Lock the queue and add an element. public void Enqueue(T qValue) { // Request the lock, and block until it is obtained. Monitor.Enter(m_inputQueue); try { // When the lock is obtained, add an element. m_inputQueue.Enqueue(qValue); } finally { // Ensure that the lock is released. Monitor.Exit(m_inputQueue); } } // Try to add an element to the queue: Add the element to the queue // only if the lock is immediately available. public bool TryEnqueue(T qValue) { // Request the lock. if (Monitor.TryEnter(m_inputQueue)) { try { m_inputQueue.Enqueue(qValue); } finally { // Ensure that the lock is released. Monitor.Exit(m_inputQueue); } return true; } else { return false; } } // Try to add an element to the queue: Add the element to the queue // only if the lock becomes available during the specified time // interval. public bool TryEnqueue(T qValue, int waitTime) { // Request the lock. if (Monitor.TryEnter(m_inputQueue, waitTime)) { try { m_inputQueue.Enqueue(qValue); } finally { // Ensure that the lock is released. Monitor.Exit(m_inputQueue); } return true; } else { return false; } } // Lock the queue and dequeue an element. public T Dequeue() { T retval; // Request the lock, and block until it is obtained. Monitor.Enter(m_inputQueue); try { // When the lock is obtained, dequeue an element. retval = m_inputQueue.Dequeue(); } finally { // Ensure that the lock is released. Monitor.Exit(m_inputQueue); } return retval; } // Delete all elements that equal the given object. public int Remove(T qValue) { int removedCt = 0; // Wait until the lock is available and lock the queue. Monitor.Enter(m_inputQueue); try { int counter = m_inputQueue.Count; while (counter > 0) // Check each element. { T elem = m_inputQueue.Dequeue(); if (!elem.Equals(qValue)) { m_inputQueue.Enqueue(elem); } else { // Keep a count of items removed. removedCt += 1; } counter = counter - 1; } } finally { // Ensure that the lock is released. Monitor.Exit(m_inputQueue); } return removedCt; } // Print all queue elements. public string PrintAllElements() { StringBuilder output = new StringBuilder(); // Lock the queue. Monitor.Enter(m_inputQueue); try { foreach( T elem in m_inputQueue ) { // Print the next element. output.AppendLine(elem.ToString()); } } finally { // Ensure that the lock is released. Monitor.Exit(m_inputQueue); } return output.ToString(); } } //任务节点 public class TaskItem { public int idx_; public byte[] data_; public TaskItem( int idx, byte[] data ) { this.idx_ = idx; this.data_ = data; } } //工作线程 public class WorkThread { SafeQueue<TaskItem> packet_; AutoResetEvent notifyEvt_; ManualResetEvent finishEvt_; Thread thread_; HashTable result_; public WorkThread() { .... thread_ = new Thread( new ThreadStart( this.DoWork ) ); } public void Start() { thread_.Start(); } //主线程调用:异步添加任务节点 public void AddDataPacket( TaskItem data ) { packet_.Enqueue( data ); notifyEvt_.Set(); } //主线程调用:等待收集计算结果 public Hashtable Finish() { Hashtable rs = new Hashtable( result_ ); finishEvt_.WaitOne(); finishEvt_.Reset(); result_.clear(); return rs; } //线程执行函数 public void DoWork() { TaskItem var; while(true) { notifyEvt_.WaitOne(); while(true) { if( packet_.Count > 0 ) { //这里取出值错误 var = packet_.Dequeue(); } if( var == null ) break; //task finish if( var.Idx == -1 ) { .... this.finishEvt_.Set(); } } } } } public class Md5Hasher { public void main() { WorkThread[] test=new WorkThread[5]; for( int i=0; i<100; ++i ) { //这里输入数据 test[i%5].AddDataPacket( ... ); } } }