Why is ParallelDo slower than Do?












5












$begingroup$


I have problems to write parallel code in mathematica.
Why is



candidates = {};
SetSharedVariable[candidates];

Do[
ParallelDo[

eq = RandomReal + RandomReal;
AppendTo[candidates, eq]

, {j, 1, 1000}]
, {i, 1, 10}]


slower than the non parallel version



candidates = {};
Do[
Do[

eq = RandomReal + RandomReal;
AppendTo[candidates, eq]

, {j, 1, 1000}]
, {i, 1, 10}]


?










share|improve this question









New contributor




Matthias Heller is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$












  • $begingroup$
    I reverted your post to before the edit because it looks like a different question (like Henrik said in his comment). Note, however, that if you ask it in precisely such form it will be likely closed due to not enough info: you need to provide the minimal working example, not through some undefined functions into a piece of code that no one will be able to run and test.
    $endgroup$
    – corey979
    yesterday






  • 1




    $begingroup$
    See here mathematica.stackexchange.com/a/48296/12 I suggest you don't use SetSharedVariable until you get quite fluent in using the parallel tools. It effectively "unparallelizes" your code.
    $endgroup$
    – Szabolcs
    yesterday


















5












$begingroup$


I have problems to write parallel code in mathematica.
Why is



candidates = {};
SetSharedVariable[candidates];

Do[
ParallelDo[

eq = RandomReal + RandomReal;
AppendTo[candidates, eq]

, {j, 1, 1000}]
, {i, 1, 10}]


slower than the non parallel version



candidates = {};
Do[
Do[

eq = RandomReal + RandomReal;
AppendTo[candidates, eq]

, {j, 1, 1000}]
, {i, 1, 10}]


?










share|improve this question









New contributor




Matthias Heller is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$












  • $begingroup$
    I reverted your post to before the edit because it looks like a different question (like Henrik said in his comment). Note, however, that if you ask it in precisely such form it will be likely closed due to not enough info: you need to provide the minimal working example, not through some undefined functions into a piece of code that no one will be able to run and test.
    $endgroup$
    – corey979
    yesterday






  • 1




    $begingroup$
    See here mathematica.stackexchange.com/a/48296/12 I suggest you don't use SetSharedVariable until you get quite fluent in using the parallel tools. It effectively "unparallelizes" your code.
    $endgroup$
    – Szabolcs
    yesterday
















5












5








5


3



$begingroup$


I have problems to write parallel code in mathematica.
Why is



candidates = {};
SetSharedVariable[candidates];

Do[
ParallelDo[

eq = RandomReal + RandomReal;
AppendTo[candidates, eq]

, {j, 1, 1000}]
, {i, 1, 10}]


slower than the non parallel version



candidates = {};
Do[
Do[

eq = RandomReal + RandomReal;
AppendTo[candidates, eq]

, {j, 1, 1000}]
, {i, 1, 10}]


?










share|improve this question









New contributor




Matthias Heller is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




I have problems to write parallel code in mathematica.
Why is



candidates = {};
SetSharedVariable[candidates];

Do[
ParallelDo[

eq = RandomReal + RandomReal;
AppendTo[candidates, eq]

, {j, 1, 1000}]
, {i, 1, 10}]


slower than the non parallel version



candidates = {};
Do[
Do[

eq = RandomReal + RandomReal;
AppendTo[candidates, eq]

, {j, 1, 1000}]
, {i, 1, 10}]


?







parallelization






share|improve this question









New contributor




Matthias Heller is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question









New contributor




Matthias Heller is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this question




share|improve this question








edited yesterday









corey979

20.9k64282




20.9k64282






New contributor




Matthias Heller is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked yesterday









Matthias HellerMatthias Heller

283




283




New contributor




Matthias Heller is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





Matthias Heller is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Matthias Heller is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












  • $begingroup$
    I reverted your post to before the edit because it looks like a different question (like Henrik said in his comment). Note, however, that if you ask it in precisely such form it will be likely closed due to not enough info: you need to provide the minimal working example, not through some undefined functions into a piece of code that no one will be able to run and test.
    $endgroup$
    – corey979
    yesterday






  • 1




    $begingroup$
    See here mathematica.stackexchange.com/a/48296/12 I suggest you don't use SetSharedVariable until you get quite fluent in using the parallel tools. It effectively "unparallelizes" your code.
    $endgroup$
    – Szabolcs
    yesterday




















  • $begingroup$
    I reverted your post to before the edit because it looks like a different question (like Henrik said in his comment). Note, however, that if you ask it in precisely such form it will be likely closed due to not enough info: you need to provide the minimal working example, not through some undefined functions into a piece of code that no one will be able to run and test.
    $endgroup$
    – corey979
    yesterday






  • 1




    $begingroup$
    See here mathematica.stackexchange.com/a/48296/12 I suggest you don't use SetSharedVariable until you get quite fluent in using the parallel tools. It effectively "unparallelizes" your code.
    $endgroup$
    – Szabolcs
    yesterday


















$begingroup$
I reverted your post to before the edit because it looks like a different question (like Henrik said in his comment). Note, however, that if you ask it in precisely such form it will be likely closed due to not enough info: you need to provide the minimal working example, not through some undefined functions into a piece of code that no one will be able to run and test.
$endgroup$
– corey979
yesterday




$begingroup$
I reverted your post to before the edit because it looks like a different question (like Henrik said in his comment). Note, however, that if you ask it in precisely such form it will be likely closed due to not enough info: you need to provide the minimal working example, not through some undefined functions into a piece of code that no one will be able to run and test.
$endgroup$
– corey979
yesterday




1




1




$begingroup$
See here mathematica.stackexchange.com/a/48296/12 I suggest you don't use SetSharedVariable until you get quite fluent in using the parallel tools. It effectively "unparallelizes" your code.
$endgroup$
– Szabolcs
yesterday






$begingroup$
See here mathematica.stackexchange.com/a/48296/12 I suggest you don't use SetSharedVariable until you get quite fluent in using the parallel tools. It effectively "unparallelizes" your code.
$endgroup$
– Szabolcs
yesterday












1 Answer
1






active

oldest

votes


















5












$begingroup$

Because managing write access to shared memory is expensive: Subprocesses have to wait until they are granted write access (because another process uses that ressource).



Moreover, it is in general more efficient to use Parallel only upon the most outer loop construct.



By the way: Using Append and AppendTo are the worst methods to build a list, because they involve a copy of the full list each time another element is appended. Instead of complexity $O(n)$ for a list of $n$ elements, you get an implementation of complexity $O(n^2)$. Better use Table or, if you don't know how long the list is about to get, use Sow and Reap. Internal`Bag is a further option, and it is even compilable.






share|improve this answer











$endgroup$













  • $begingroup$
    Thanks, that actually helped a lot. I just dont understand how to use Sow and Reap to avoid Append To be more specific: instead of ParallelDo I use now ParallelTable: eq = ParallelTable[ FNumeric[ SetPrecision[N[monlistnumeric[[i]] + monlistnumeric[[j]], 20], 10]] , {j, jj}]; FNumeric is a function, that returns either 0 or a value I want to store. I then do eq = DeleteCases[eq, 0]; candidates = Join[candidates, eq]; Is there a more efficient way to do this?
    $endgroup$
    – Matthias Heller
    yesterday








  • 2




    $begingroup$
    @MatthiasHeller, you're welcome. How is this new code related to your post? You should consider a new post with your real problem and all relevant data. I may have a look. In general, depending on the details, there are various ways to perform the computation efficiently; these way might not use Parallel at all, but rather Compiled code.
    $endgroup$
    – Henrik Schumacher
    yesterday












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1 Answer
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active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









5












$begingroup$

Because managing write access to shared memory is expensive: Subprocesses have to wait until they are granted write access (because another process uses that ressource).



Moreover, it is in general more efficient to use Parallel only upon the most outer loop construct.



By the way: Using Append and AppendTo are the worst methods to build a list, because they involve a copy of the full list each time another element is appended. Instead of complexity $O(n)$ for a list of $n$ elements, you get an implementation of complexity $O(n^2)$. Better use Table or, if you don't know how long the list is about to get, use Sow and Reap. Internal`Bag is a further option, and it is even compilable.






share|improve this answer











$endgroup$













  • $begingroup$
    Thanks, that actually helped a lot. I just dont understand how to use Sow and Reap to avoid Append To be more specific: instead of ParallelDo I use now ParallelTable: eq = ParallelTable[ FNumeric[ SetPrecision[N[monlistnumeric[[i]] + monlistnumeric[[j]], 20], 10]] , {j, jj}]; FNumeric is a function, that returns either 0 or a value I want to store. I then do eq = DeleteCases[eq, 0]; candidates = Join[candidates, eq]; Is there a more efficient way to do this?
    $endgroup$
    – Matthias Heller
    yesterday








  • 2




    $begingroup$
    @MatthiasHeller, you're welcome. How is this new code related to your post? You should consider a new post with your real problem and all relevant data. I may have a look. In general, depending on the details, there are various ways to perform the computation efficiently; these way might not use Parallel at all, but rather Compiled code.
    $endgroup$
    – Henrik Schumacher
    yesterday
















5












$begingroup$

Because managing write access to shared memory is expensive: Subprocesses have to wait until they are granted write access (because another process uses that ressource).



Moreover, it is in general more efficient to use Parallel only upon the most outer loop construct.



By the way: Using Append and AppendTo are the worst methods to build a list, because they involve a copy of the full list each time another element is appended. Instead of complexity $O(n)$ for a list of $n$ elements, you get an implementation of complexity $O(n^2)$. Better use Table or, if you don't know how long the list is about to get, use Sow and Reap. Internal`Bag is a further option, and it is even compilable.






share|improve this answer











$endgroup$













  • $begingroup$
    Thanks, that actually helped a lot. I just dont understand how to use Sow and Reap to avoid Append To be more specific: instead of ParallelDo I use now ParallelTable: eq = ParallelTable[ FNumeric[ SetPrecision[N[monlistnumeric[[i]] + monlistnumeric[[j]], 20], 10]] , {j, jj}]; FNumeric is a function, that returns either 0 or a value I want to store. I then do eq = DeleteCases[eq, 0]; candidates = Join[candidates, eq]; Is there a more efficient way to do this?
    $endgroup$
    – Matthias Heller
    yesterday








  • 2




    $begingroup$
    @MatthiasHeller, you're welcome. How is this new code related to your post? You should consider a new post with your real problem and all relevant data. I may have a look. In general, depending on the details, there are various ways to perform the computation efficiently; these way might not use Parallel at all, but rather Compiled code.
    $endgroup$
    – Henrik Schumacher
    yesterday














5












5








5





$begingroup$

Because managing write access to shared memory is expensive: Subprocesses have to wait until they are granted write access (because another process uses that ressource).



Moreover, it is in general more efficient to use Parallel only upon the most outer loop construct.



By the way: Using Append and AppendTo are the worst methods to build a list, because they involve a copy of the full list each time another element is appended. Instead of complexity $O(n)$ for a list of $n$ elements, you get an implementation of complexity $O(n^2)$. Better use Table or, if you don't know how long the list is about to get, use Sow and Reap. Internal`Bag is a further option, and it is even compilable.






share|improve this answer











$endgroup$



Because managing write access to shared memory is expensive: Subprocesses have to wait until they are granted write access (because another process uses that ressource).



Moreover, it is in general more efficient to use Parallel only upon the most outer loop construct.



By the way: Using Append and AppendTo are the worst methods to build a list, because they involve a copy of the full list each time another element is appended. Instead of complexity $O(n)$ for a list of $n$ elements, you get an implementation of complexity $O(n^2)$. Better use Table or, if you don't know how long the list is about to get, use Sow and Reap. Internal`Bag is a further option, and it is even compilable.







share|improve this answer














share|improve this answer



share|improve this answer








edited yesterday

























answered yesterday









Henrik SchumacherHenrik Schumacher

60k582168




60k582168












  • $begingroup$
    Thanks, that actually helped a lot. I just dont understand how to use Sow and Reap to avoid Append To be more specific: instead of ParallelDo I use now ParallelTable: eq = ParallelTable[ FNumeric[ SetPrecision[N[monlistnumeric[[i]] + monlistnumeric[[j]], 20], 10]] , {j, jj}]; FNumeric is a function, that returns either 0 or a value I want to store. I then do eq = DeleteCases[eq, 0]; candidates = Join[candidates, eq]; Is there a more efficient way to do this?
    $endgroup$
    – Matthias Heller
    yesterday








  • 2




    $begingroup$
    @MatthiasHeller, you're welcome. How is this new code related to your post? You should consider a new post with your real problem and all relevant data. I may have a look. In general, depending on the details, there are various ways to perform the computation efficiently; these way might not use Parallel at all, but rather Compiled code.
    $endgroup$
    – Henrik Schumacher
    yesterday


















  • $begingroup$
    Thanks, that actually helped a lot. I just dont understand how to use Sow and Reap to avoid Append To be more specific: instead of ParallelDo I use now ParallelTable: eq = ParallelTable[ FNumeric[ SetPrecision[N[monlistnumeric[[i]] + monlistnumeric[[j]], 20], 10]] , {j, jj}]; FNumeric is a function, that returns either 0 or a value I want to store. I then do eq = DeleteCases[eq, 0]; candidates = Join[candidates, eq]; Is there a more efficient way to do this?
    $endgroup$
    – Matthias Heller
    yesterday








  • 2




    $begingroup$
    @MatthiasHeller, you're welcome. How is this new code related to your post? You should consider a new post with your real problem and all relevant data. I may have a look. In general, depending on the details, there are various ways to perform the computation efficiently; these way might not use Parallel at all, but rather Compiled code.
    $endgroup$
    – Henrik Schumacher
    yesterday
















$begingroup$
Thanks, that actually helped a lot. I just dont understand how to use Sow and Reap to avoid Append To be more specific: instead of ParallelDo I use now ParallelTable: eq = ParallelTable[ FNumeric[ SetPrecision[N[monlistnumeric[[i]] + monlistnumeric[[j]], 20], 10]] , {j, jj}]; FNumeric is a function, that returns either 0 or a value I want to store. I then do eq = DeleteCases[eq, 0]; candidates = Join[candidates, eq]; Is there a more efficient way to do this?
$endgroup$
– Matthias Heller
yesterday






$begingroup$
Thanks, that actually helped a lot. I just dont understand how to use Sow and Reap to avoid Append To be more specific: instead of ParallelDo I use now ParallelTable: eq = ParallelTable[ FNumeric[ SetPrecision[N[monlistnumeric[[i]] + monlistnumeric[[j]], 20], 10]] , {j, jj}]; FNumeric is a function, that returns either 0 or a value I want to store. I then do eq = DeleteCases[eq, 0]; candidates = Join[candidates, eq]; Is there a more efficient way to do this?
$endgroup$
– Matthias Heller
yesterday






2




2




$begingroup$
@MatthiasHeller, you're welcome. How is this new code related to your post? You should consider a new post with your real problem and all relevant data. I may have a look. In general, depending on the details, there are various ways to perform the computation efficiently; these way might not use Parallel at all, but rather Compiled code.
$endgroup$
– Henrik Schumacher
yesterday




$begingroup$
@MatthiasHeller, you're welcome. How is this new code related to your post? You should consider a new post with your real problem and all relevant data. I may have a look. In general, depending on the details, there are various ways to perform the computation efficiently; these way might not use Parallel at all, but rather Compiled code.
$endgroup$
– Henrik Schumacher
yesterday










Matthias Heller is a new contributor. Be nice, and check out our Code of Conduct.










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