cluster-computing

I have a project for a client that will consist of managing jobs on a MS Compute Cluster. I will be developing the application outside of their network, and would like a way to develop/debug my app without the need to be on their network. I am developing the app in C#, and all I have so far is the Microsoft Compute Cluster Pack SDK. Maybe this webcast can help you out Event link The webcast was helpful, in that it lead me to the MPI.Net API. MPI.Net will allow me to write an executable that can be launched via mpiexec.exe, and can manage the process of creating and monitoring parallel tasks.

In an clustered environment I have a seed node and node1 and node2. From node1 I want to send a message to an Actor which has been created on node2. The local path to this node on node2 is akka:MyAkkaSystem/user/AnActor. Now I want to send a message from an Actor from node1 to this specific actor by using an ActorSelection like that: var actorSystem = ActorSystem.Create("MyTestSystem"); var c = actorSystem.ActorSelection("/user/ConsoleReceiver"); c.Tell("Hello World"); On node2 the actor has been created like that: var actorSystem = ActorSystem.Create("MyTestSystem"); var r = actorSystem

I've been searching (with little success) for a free/opensource session clustering and replication solution for asp.net. I've run across the usual suspects (indexus sharedcache, memcached), however, each has some limitations. Indexus - Very immature, stubbed session interface implementation. Its otherwise a great caching solution, though. Memcached - Little replication/failover support without going to a db backend. Several SF.Net projects - All aborted in the early stages... nothing that appears to have any traction, and one which seems to have gone all commercial. Microsoft Velocity - Not

Is there a way using TSQL, CMD Script or VB Script to tell: 1) if SQL Server is clustered on the server, and 2) if it is the active node or not? Thanks. Both of these can be found using SELECT * FROM fn_virtualservernodes() If there are no results, it's not clustered. For active node you may try this to check the name of the node on which the clustered SQL Server instance is running on: Select ServerProperty('ComputerNamePhysicalNetBIOS') and for checking if its clustered: SELECT 'IsClustered', SERVERPROPERTY('IsClustered') Also check this article and MSDN . 来源： https://stackoverflow.com

I have read over this article pretty thoroughly and as well have spent a few hours researching the subject of clustering (forking processes) in Node.js. What I can't seem to understand from the article, is what determines which worker process gets request X, if they are all listening on the same port? Is there a way for the master process to channel the requests, or is it just random? There a good explanation here . Long story short, there are 2 different behaviors depending on your node version: node 0.8-0.10 (and 0.12+ on Windows): Each process listens on the port. The OS decides which one

Anyone have any idea which Resource manager is good for PVM? Or should I not have used PVM and instead relied on MPI (or any version of it, such as MPICH-2 [are there any other ones that are better?]). Main reason for using PVM was because the person before me who started this project assumed the use of PVM. However, now that this project is mine (he hasn't done any significant work that relies on PVM) this can be easily changed, preferably to something that is easy to install because installing and setting up PVM was a big hassle. I'm leaning towards SunGridEngine seeing as how I have

I'm familiar with matlabpool , and parfor usage, but I still need to speedup the computation. I have a more powerful computer in my 1GB network. Both computers have R2010b, and have the same code and paths. What is the simplest way to use both computers for parallel computation? Example of the code I use today: --- main.m--- matlabpool('open', 3); % ... x = randn(1e5,1); y = nan(size(x)); parfor k = 1 : length(x) y(k) = myfunc(x(k)); end --- myfunc.m--- function y = myfunc(x) y = x; % some computation return For real cluster computing, you'll need the distributed computing toolbox , as you can

Ok this shouldn't be this hard, I'm trying to run 2 nodes in an elasticsearch cluster and getting an exception when trying to start node-1(node-2 which is master is already started). Using elasticsearch v 5.0.0 for both instances Exception: failed to send join request to master, reason RemoteTransportException can't add node found existing node with the same id but is a different node instance] Node-1 config: node.name: SANNNNN-1 network.host: 10.3.185.250 discovery.zen.ping.unicast.hosts: ["10.3.185.251:9300"] Node-2 config: node.name: SAN-2 network.host: 10.3.185.251 discovery.zen.ping

I just figured out how to send jobs to be processed on machines on the cluster by using Condor . Since we have a lot of machines and not each of those machines are configured the same, I was wondering: Is it possible to tell condor only to dispatch my jobs (python scripts) to machines, that have numpy installed on them since my script depends on this package? Like any other machine attribute, you just need to advertise it in the machine classad, and then have your jobs require it. To advertise it in the machine classad, you can either hard-code it into each machine's condor config file by