Part of the confusion here I think comes down to terminology. What GPU people often call cores, aren’t really, and what GPU people often call threads are only in a certain sense. Cores A core, in GPU marketing terms may refer to something like a CPU core, or it may refer to a single lane … Read more
Almost any scientific code — finite differences, finite elements, etc. Which kind of leads to the circular answer, that any distributed program which doesn’t easily map to MapReduce would be better implemented with a more general MPI model. Not sure that’s much help to you, I’ll downvote this answer right after I post it.
In Map-Reduce for Machine Learning on Multicore Chu et al describe “algorithms that fit the Statistical Query model can be written in a certain “summation form,” which allows them to be easily parallelized on multicore computers.” They specifically implement 10 algorithms including e.g. weighted linear regression, k-Means, Naive Bayes, and SVM, using a map-reduce framework. … Read more
I didn’t know how to do this at first, so I spent some time figuring it out. Here are some functions I wrote to pass objects: sendto Send an arbitrary number of variables to specified processes. New variables are created in the Main module on specified processes. The name will be the key of the … Read more
Both CPUs & GPUs provide SIMD with the most standard conceptual unit being 16 bytes/128 bits; for example a Vector of 4 floats (x,y,z,w). Simplifying: CPUs then parallelize more through pipelining future instructions so they proceed faster through a program. Then next step is multiple cores which run independent programs. GPUs on the other hand … Read more
An Iterator is a simple representation of a series of elements that can be iterated over. eg: List<String> list = Arrays.asList(“Apple”, “Banana”, “Orange”); Iterator<String> i = list.iterator(); i.next(); i.forEachRemaining(System.out::println); #output Banana Orange A Spliterator can be used to split given element set into multiple sets so that we can perform some kind of operations/calculations on … Read more
Disclaimer: I wrote the article you referenced in your question above. However I’m a bit confused by the concept of “task”. Is a task an running instance of the component(spout or bolt) ? A executor having multiple tasks actually is saying the same component is executed for multiple times by the executor, am I correct … Read more
The Kotlin standard library has no support for parallel operations. However, since Kotlin uses the standard Java collection classes, you can use the Java 8 stream API to perform parallel operations on Kotlin collections as well. e.g. myCollection.parallelStream() .map { … } .filter { … }
single and critical are two very different things. As you mentioned: single specifies that a section of code should be executed by single thread (not necessarily the master thread) critical specifies that code is executed by one thread at a time So the former will be executed only once while the later will be executed … Read more
As I was about to complete writing this question, I ran parallel –version to report the version, only to find: WARNING: YOU ARE USING –tollef. IF THINGS ARE ACTING WEIRD USE –gnu. It is not clear to me why that flag is set by default. Needless to say, using –gnu worked! Thought I would post … Read more