Question

我在这里找到了这个例子Data Parallelism

GParsPool.withPool() {
    Closure longLastingCalculation = {calculate()}
    Closure fastCalculation = longLastingCalculation.async()
    Future result=fastCalculation()
    //do stuff while calculation performs …
    println result.get()
}

我发现它有点广泛。有没有办法缩短它？
也许：

GParsPool.withPool() {
    Future result = calculate().async()
    //do stuff while calculation performs …
    println result.get()
}

那会有用吗？如果没有，还有另一种方式吗？

Answer 1

认为你需要：

Future result = { calculate() }.async()()

Answer 2

calculate().async()会立即启动calculate方法。我敢打赌

GParsPool.withPool() {
    Future result = {calculate()}.async().call()
    //do stuff while calculation performs …
    println result.get()
}

因为async()返回一个闭包。我不确定({calculate()}.async())()是否有效，我稍后会测试

与GPAR的数据并行

2 个答案: