先說一個挺有意思的事情，就在OneCoder準備記錄試用過程的時候，給大家截圖下載頁面的時候，發現最新版本變成3.3.4了。於是，我也只好重新下載了：）

想要執行JPPF平行計算任務，需要至少一個Node節點(執行任務的節點)，一個driver節點(排程任務的節點)，和本地呼叫節點

依次分別執行driver包裡的startDriver.bat和node包裡的startNode.bat啟動driver和node
 

然後，開發jppf應用，JPPF在application-template包中提供了任務模版，只需參照文件稍作修改即可：

 public static void
 
 main(String args[]) {
           TaskFlowOne taskOne = new TaskFlowOne();
            try {
                 // create the JPPFClient. This constructor call causes JPPF to read
                 // the configuration file
                 // and connect with one or multiple JPPF drivers.
                 jppfClient
 
 = new JPPFClient();
                 // create a JPPF job
                JPPFJob job = new JPPFJob();
                 // give this job a readable unique id that we can use to monitor and
                 // manage it.
                job.setName( "Template Job Id");
                 // add a task to the job.
 

                job.addTask(taskOne);
                job.setBlocking( true);

                 // Submit the job and wait until the results are returned.
                 // The results are returned as a list of JPPFTask instances,
                 // in the same order as the one in which the tasks where initially
                 // added the job.
                List<JPPFTask> results = jppfClient.submit(job);
                JPPFTask jTask = results.get(0);
                System. out.println(jTask.getResult());
                 // process the results
                TaskFlowTwo taskTwo = new TaskFlowTwo();
                job.addTask(taskTwo);
                job.setBlocking( true);
                List<JPPFTask> resultsTow = jppfClient.submit(job);
                JPPFTask jTaskTow = resultsTow.get(1);
                System. out.println(jTaskTow.getResult());
           } catch (Exception e) {
                e.printStackTrace();
           } finally {
                 if ( jppfClient != null)
                      jppfClient.close();
           }
     }

一個平行計算的任務，就是一個JPPFJob，每個job含有多個task，task之間是並行執行的，如果有多個nod節點，會按照其負載均衡策略分配到多個node上執行。通過client提交(submit)job後，會返回執行結果，為一個JPPFTask列表，列表裡包含你add到job中每個task及其執行結果，作為後續計算處理之用。任務呼叫支援阻塞和非阻塞。

admin-ui中還提供了對節點狀態和資源佔用，任務資訊等監控，總體來說上手很快，很好用：