Spark: Low latency, massively parallel processing framework
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December 27, 2013
While Hadoop fits well in most batch processing workload, and is the primary choice of big data processing today, it is not optimized for ot...
Showing posts with label parallel processing. Show all posts
Showing posts with label parallel processing. Show all posts
Friday, December 27, 2013
Sunday, August 29, 2010
Designing algorithms for Map Reduce
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August 29, 2010
Since the emerging of Hadoop implementation, I have been trying to morph existing algorithms from various areas into the map/reduce model. ...
Thursday, November 5, 2009
What Hadoop is good at
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November 05, 2009
Hadoop is getting more popular these days. Lets look at what it is good at and what not. The Map/Reduce Programming model Map/Reduce offers...
Tuesday, November 25, 2008
Hadoop Map/Reduce Implementation
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November 25, 2008
In my previous post, I talk about the methodology of transforming a sequential algorithm into parallel. After that, we can implement the pa...
Tuesday, June 10, 2008
Exploring Erlang with Map/Reduce
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June 10, 2008
Under the category of "Concurrent Oriented Programming", Erlang has got some good attention recently due to some declared success ...
Sunday, May 25, 2008
Parallel data processing language for Map/Reduce
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May 25, 2008
In my previous post , I introduce Map/Reduce model as a powerful model for parallelism . However, although Map/Reduce is simple, powerful a...
Monday, April 28, 2008
Parallelism with Map/Reduce
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April 28, 2008
We explore the Map/Reduce approach to turn sequential algorithm into parallel Map/Reduce Overview Since the "reduce" operation ne...
Tuesday, April 15, 2008
Parallelizing Algorithms
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April 15, 2008
The growth of a single CPU has been limited by physical factors such as clock rate, generated heat, power ... etc. Current trend is moving ...
