communication

Circle Piping to and from 2 Python Subprocesses

邮差的信 提交于 2021-02-19 03:53:08
问题 I needed help regarding the subprocess module. This question might sound repeated, and I have seen a number of articles related to it in a number of ways. But even so I am unable to solve my problem. It goes as follows: I have a C program 2.c it's contents are as follows: #include<stdio.h> int main() { int a; scanf("%d",&a); while(1) { if(a==0) //Specific case for the first input { printf("%d\n",(a+1)); break; } scanf("%d",&a); printf("%d\n",a); } return 0; } I need to write a python script

Containers communication with python requests

心不动则不痛 提交于 2021-02-07 07:11:15
问题 Here is my architecture : I have two containers (A and B) running on the same host with their own network. docker-compose : version : '3' services: A: build: ./docker_A ports: - "8090:8090" networks: - my_network B: build: ./docker_B ports: - "8070:8070" networks: - my_network networks: my_network: driver : bridge Container b is running a bottle server : @get('/') def hello(): return {"say":"Hello world"} run(host='0.0.0.0', port=8070, debug=True) docker inspect package_name_my_network

MPI communication complexity

霸气de小男生 提交于 2021-02-07 03:59:37
问题 I'm studying the communication complexity of a parallel implementation of Quicksort in MPI and I've found something like this in a book: "A single process gathers p regular samples from each of the other p-1 processes. Since relatively few values are being passed, message latency is likely to be the dominant term of this step. Hence the communication complexity of the gather is O(log p)" (O is actually a theta and p is the number of processors). The same affirmation is made for the broadcast

MPI communication complexity

会有一股神秘感。 提交于 2021-02-07 03:57:14
问题 I'm studying the communication complexity of a parallel implementation of Quicksort in MPI and I've found something like this in a book: "A single process gathers p regular samples from each of the other p-1 processes. Since relatively few values are being passed, message latency is likely to be the dominant term of this step. Hence the communication complexity of the gather is O(log p)" (O is actually a theta and p is the number of processors). The same affirmation is made for the broadcast

Passing Data between Java and C++ [closed]

三世轮回 提交于 2020-12-26 05:14:43
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 25 days ago . Improve this question I am working on developing an application in which I have an application layer in Java and one service which is nothing but a plugin in C++. I need to call native code APIs from the application layer which will be called through the JNI layer which is