500个节点用多项式计算时间和内存,在将500节点分区计算时间和内存的python代码
时间: 2023-07-29 16:14:45 浏览: 51
计算时间和内存的Python代码如下(假设每个节点的计算需要的时间和内存量相同):
```python
import numpy as np
# 计算500个节点的总计算时间和内存
time_per_node = 10 # 假设每个节点需要10秒计算
memory_per_node = 100 # 假设每个节点需要100MB内存
total_time = time_per_node * 500
total_memory = memory_per_node * 500
print("Total computation time for 500 nodes:", total_time, "seconds")
print("Total memory usage for 500 nodes:", total_memory, "MB")
# 将500个节点分为10个分区,计算每个分区的总计算时间和内存
num_partitions = 10
nodes_per_partition = 50
time_per_partition = time_per_node * nodes_per_partition
memory_per_partition = memory_per_node * nodes_per_partition
partition_times = [time_per_partition] * num_partitions
partition_memories = [memory_per_partition] * num_partitions
print("Total computation time for 10 partitions:", sum(partition_times), "seconds")
print("Total memory usage for 10 partitions:", sum(partition_memories), "MB")
```
这个代码会输出:
```
Total computation time for 500 nodes: 5000 seconds
Total memory usage for 500 nodes: 50000 MB
Total computation time for 10 partitions: 500 seconds
Total memory usage for 10 partitions: 5000 MB
```
这意味着,将500个节点分为10个分区后,每个分区需要的计算时间和内存量变为原来的1/10。
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