distributed

问题 I have an Erlang application that is getting a little too resource-hungry to stay on one node. I'm in the process of making gen_servers move from one process to another - which turns out to be relatively easy. I'm at the last hurdle: getting the factory process that creates these gen_servers to spawn them on the remote node instead of the local one. The default behavior of start_link is clearly to start locally only, but I don't see any option to change that. It would seem that I'm going to

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . I want to implement distributed version control system with my fellow programmers. They are scattered around. All using different IDEs or no IDEs/ different operating systems too. I'm new to the whole scenario. Also, we have no root permission of our server, so we cannot use the server. How to go about it? What

问题 I am trying to split the execution of a python program to two different machines. I am wondering if there's a way to call the python interpreter on one machine from another. Not running a script on another machine, but rather split the task of execution to two machines. Over the course of the next couple of months, I will be teaching my self distributed programming, and I thought this would be a good way to start. I think the first step is to use one machine to call another machine and send

问题 I am trying to split the execution of a python program to two different machines. I am wondering if there's a way to call the python interpreter on one machine from another. Not running a script on another machine, but rather split the task of execution to two machines. Over the course of the next couple of months, I will be teaching my self distributed programming, and I thought this would be a good way to start. I think the first step is to use one machine to call another machine and send

问题 I have a mac mini on which I do some iphone and other experimental development. It is hideously slow to build some of the larger projects I have tried out (like 3d engines and such). There are some support for distributed builds with distcc and I have a quad core linux box just standing idle beside it. The question is: is it possible to set up a distcc environment on the linux box that would build ordinary mac objective c or c++ projects, or even iphone projects? Has anyone tried/succeeded in

问题 I am a Git newbee with UNIX SCCS and Microsoft Visual SourceSafe experience. I’m just learning Git and it seems to have a huge and painful learning curve. I’ve already seen Git blow away all the data files I hadn’t committed, which concerns me. (How a utility can delete data files without warning is beyond me). Linus Torvalds, in his video on Git, claims that Git is distributed, touts the benefits of distribution, but other than everyone having a copy (clone) of the source, doesn’t really

问题 We have a large high-performance software system which consists of multiple interacting Java processes (not EJBs). Each process can be on the same machine or on a different machine. Certain events are generated in one process, and are then propagated in different ways to other processes for further processing and so on. For benchmarking purposes, we need to create a log of when each event passed through a "checkpoint", eventually combine these logs to obtain a timeline of how each event

问题 I am trying to train model in synchronous distributed fashion for data parallelism. There are 4 gpus in my machine. Each gpu should should run a worker to train on separate non-overlapping subset of the data (between graph replication). The main data file is separated into 16 smaller TFRecord files. Each worker is supposed to process 4 different files. The problem is that training freezes independently and at different times in each worker process. They freeze at some point. One of the 'ps'

问题 I'd really like to convert my org.apache.spark.mllib.linalg.Matrix to org.apache.spark.mllib.linalg.distributed.RowMatrix I can do it as such: val xx = X.computeGramianMatrix() //xx is type org.apache.spark.mllib.linalg.Matrix val xxs = xx.toString() val xxr = xxs.split("\n").map(row => row.replace(" "," ").replace(" "," ").replace(" "," ").replace(" "," ").replace(" ",",").split(",")) val xxp = sc.parallelize(xxr) val xxd = xxp.map(ar => Vectors.dense(ar.map(elm => elm.toDouble))) val xxrm:

问题 I am new to zookeeper and distributed systems, and am learning it myself. From what I understand for now, it seems that ZooKeeper is simply a key-value store whose keys are paths and values are strings, which is nothing different from, say, Redis. (And apparently we can use slash-separated path as keys in redis as well.) So my question is, what is the essential difference between ZooKeeper and other distributed KV store? Why is ZooKeeper using so called "paths" as keys, instead of simple