Comments on: A Cluster In Your Pocket http://www.linux-mag.com/id/7845/ Open Source, Open Standards Sat, 05 Oct 2013 13:48:18 +0000 hourly 1 http://wordpress.org/?v=3.1 By: Sheikh Muhammad Muneeb http://www.linux-mag.com/id/7845/#comment-179955 Sheikh Muhammad Muneeb Wed, 04 Apr 2012 10:03:01 +0000 http://www.linux-mag.com/id/7845/#comment-179955 Nice Article, We have just developed a framework Light Weight MapReduce for heterogeneous devices (smart devices as well as traditional computers) that allow parallel computation. Our major aim to keep this framework as light as possible so, that it could provide results. Fortunately, we are able to complete our work in farther less time then Hadoop on our experimental applications. We will soon be releasing its source code. www.syslab.khi.nu.edu.pk/projects/mrlite Nice Article,
We have just developed a framework Light Weight MapReduce for heterogeneous devices (smart devices as well as traditional computers) that allow parallel computation. Our major aim to keep this framework as light as possible so, that it could provide results. Fortunately, we are able to complete our work in farther less time then Hadoop on our experimental applications.

We will soon be releasing its source code.

http://www.syslab.khi.nu.edu.pk/projects/mrlite

]]> By: Sheikh Muhammad Muneeb http://www.linux-mag.com/id/7845/#comment-179953 Sheikh Muhammad Muneeb Wed, 04 Apr 2012 10:02:39 +0000 http://www.linux-mag.com/id/7845/#comment-179953 Nice Article, We have just developed a framework Light Weight MapReduce for heterogeneous devices (smart devices as well as traditional computers) that allow parallel computation. Our major aim to keep this framework as light as possible so, that it could provide results. Fortunately, we are able to complete our work in farther less time then Hadoop on our experimental applications. We will soon be releasing its source code. www.syslab.khi,nu.edu.pk/projects/mrlite Nice Article,
We have just developed a framework Light Weight MapReduce for heterogeneous devices (smart devices as well as traditional computers) that allow parallel computation. Our major aim to keep this framework as light as possible so, that it could provide results. Fortunately, we are able to complete our work in farther less time then Hadoop on our experimental applications.

We will soon be releasing its source code.

http://www.syslab.khi,nu.edu.pk/projects/mrlite

]]> By: One man http://www.linux-mag.com/id/7845/#comment-164805 One man Wed, 14 Mar 2012 04:59:29 +0000 http://www.linux-mag.com/id/7845/#comment-164805 Hi! Good article. You feel might be some pessimist feeling about this case HPC in smartphone. We hope in the near future smartphones may be as our poket computer (Motorola ATRIX)could compute some paralel task and earn money for our needs (monthly abonent price) ... We hope Thnk you Hi! Good article. You feel might be some pessimist feeling about this case HPC in smartphone. We hope in the near future smartphones may be as our poket computer (Motorola ATRIX)could compute some paralel task and earn money for our needs (monthly abonent price) …
We hope
Thnk you

]]> By: tarekahmed http://www.linux-mag.com/id/7845/#comment-8632 tarekahmed Wed, 30 Nov -0001 00:00:00 +0000 http://www.linux-mag.com/id/7845/#comment-8632 <br />

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