What is the translation of " PARALLELIZED " in Chinese?

• 并行化
• 平行

Examples of using Parallelized in English and their translations into Chinese

So it's highly parallelized.
因此，它是高度并行的。

Queries involving aggregate functions such as SUM() and COUNT() can easily be parallelized.
一些聚合函数，比如SUM()和COUNT()，能够很容易的并行执行；.

Data transfer is highly parallelized if there is good bandwidth.
如果有良好的带宽，数据传输是高度平行化的。

With Hofmeyr's help, both these phases have been converted to UPC and parallelized.
在Hofmeyr的帮助下，这两个阶段都被转换为UPC和并行化。

Polkadot calls these data-structures“parallelized” chains, or“parachains.”.
Polkadot将这些数据结构称为“并行化的”链或“伞”。

Even on the biggest vector, this is a very fast operation, once vectorized and parallelized.
即使是最大的vector，一旦向量化和并行化之后，这也是一个非常快速的操作。

Grange Insurance parallelized its rating engine to take better advantage of multicore server hardware.
GrangeInsurance并行化了其评级引擎，以更好地利用多核服务器硬件.

By invoking parallelize method in the driver program, we can create parallelized collections.
通过在驱动程序中调用并行化方法，我们可以创建并行化的集合。

Finally, Elliotte did some handwaving about parallelized execution on multiple cores, and how code like 3.
在最后，Elliotte还提到了一些关于在多核处理器上并行执行的问题，说像3.

Parallelized collections are created by calling SparkContext's parallelize method on an existing Scala collection(a Seq object).
并行化集合是通过调用SparkContext的parallelize方法，在一个已经存在的Scala集合上创建的（一个Seq对象）。

Functional programming languages enable you to create a highly parallelized and highly distributed systems.
函数式编程语言使您能够创建高度并行化和高度分布式的系统。

Some times, the algorithms can easily parallelized and we have a tremendous speedup, others the effort needed doesn't justify the gain.
有时，算法可以很容易地并行化，并且我们有很大的加速，其他所需的努力并不能证明增益。

Functional programming languages enable you to create a highly parallelized and highly distributed systems.
函数式编程语言可以让你创建高度并行化和高度分布式的系统。

High-level constructs- parallel for-loops, special array types, and parallelized numerical algorithms- let you parallelize MATLAB® applications without CUDA or MPI programming.
利用并行for循环、特殊数组类型和并行化数值算法等高级别构造，可以对MATLAB®应用程序进行并行化，而无需进行CUDA或MPI编程。

A human lifetime, then, comprises 2 trillion message-crossing times(and each crossing time is effectively amplified by rich, massively parallelized computational structuring).
人类的一生要发生2万亿次信息传导（并且每一次都会被丰富且大规模平行的计算结构有效放大）。

Through the efforts of some programmers, they can be easily parallelized, sometimes on a large scale on the GPU.
通过一些程序员的努力，它们可以很容易地并行化，有时在GPU上大规模地并行化。

It focuses on running as fast as possible by parallelizing builds.
它着重于通过并行化构建来尽可能快地运行。

Scaling up should be easier with small-scale reactors because you can parallelize.
小规模反应堆的放大应该更容易，因为你可以并行化。

Parallelizing your training onto ten GPUs will slow every iteration down by 10.8 seconds;
将您的训练并行化到10个GPU将使每次迭代减慢10.8秒;

Mongo parallelizes multiple queries but isn't so good at optimizing a single one.
Mongo并行化多个查询，但是并不擅长优化单个查询。

When parallelizing training of a neural network onto many GPUs, you must choose how to distribute different operations onto the different GPUs available to you.
当在多个GPU上并行训练一个神经网络，你必须选择如何将不同的运算分布到不同的GPU上。

These example shows that parallelizing code is not as easy as dividing up the lines between multiple processors and having them be executed.
这个例子表明，并行化的代码不像把代码行分给多个处理器来执行那样容易。

Normally Jest parallelizes test runs across processes but it is hard to debug many processes at the same time.
通常情况下，Jest并行化测试会跨进程执行，但是很难同时调试多个进程。

In contrast, getting the same performance using RDDs would require users to manually consider how to express the computation in a way that parallelizes optimally.
相反，使用RDD获得相同的性能需要用户手动考虑如何以最佳并行化方式表达计算。

Additionally, we can also parallelize SGD on one machine without the need for a large computing cluster.
而且，我们也可以在一台机器上，而无需大量的计算集群来并行化SGD。

High Performance Parallel Optimizer(HPO) offers an improved ability to analyze, optimize, and parallelize more loop nests.
高性能并行优化器（HighPerformanceParallelOptimizer，HPO）提供了改进的功能，可对更多的循环嵌套进行分析、优化和并行化。

Amazon Redshift is an MPP(massively parallel processing) database, where all the compute nodes divide and parallelize the work of ingesting data.
AmazonRedshift是一个MPP（大规模并行处理）架构的数据库，所有的计算节点将摄入数据的工作进行分解和并行化。

Partitions for RDDs produced by parallelize come from the parameter given by the user, or spark. default. parallelism if none is given.
通过parallelize接口生成的RDD的partition个数由用户指定，如果用户没有指定则由参数spark.default.parallelism决定。

The team also developed solutions for parallelizing data input and output(I/O).
该团队还开发了并行数据输入输出（I/O）的解决方案。

The simplest way to create RDDs is to take an existing collection in your program and pass it to SparkContext's parallelize() method.
最简单的创建RDD的方法是将代码中的集合传给SparkContext中的parallelize()方法。