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Why is ParallelDo slower than Do?



Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?Internal`Bag inside CompileWhy won't Parallelize speed up my code?ParallelTable 70 times slower on 16 cores than Table on single coreWhy is ParallelMap way slower than MapParallelTable slower than Table in the presence of an Association?How to make the ProgressIndicator for ParallelDo more efficientParallel calculation is 5 times slower than the non-parallel oneParallelTable much slower than Table on RandomReal with arbitrary precisionParallelDo with doubly-indexed iteratorsClearAttributes in ParallelDoWriting to file with ParallelDoParallelDo gives different solution to Eigensystem










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
    Apr 11 at 13:54






  • 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
    Apr 11 at 14:09
















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
    Apr 11 at 13:54






  • 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
    Apr 11 at 14:09














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 Apr 11 at 13:52









corey979

20.9k64382




20.9k64382






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 Apr 11 at 12:25









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
    Apr 11 at 13:54






  • 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
    Apr 11 at 14:09

















  • $begingroup$
    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
    Apr 11 at 13:54






  • 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
    Apr 11 at 14:09
















$begingroup$
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
Apr 11 at 13:54




$begingroup$
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
Apr 11 at 13:54




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
Apr 11 at 14:09





$begingroup$
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
Apr 11 at 14:09











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
    Apr 11 at 12:55







  • 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
    Apr 11 at 13:13











Your Answer








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1 Answer
1






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
    Apr 11 at 12:55







  • 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
    Apr 11 at 13:13















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
    Apr 11 at 12:55







  • 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
    Apr 11 at 13:13













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 Apr 11 at 13:48

























answered Apr 11 at 12:29









Henrik SchumacherHenrik Schumacher

60.3k583169




60.3k583169











  • $begingroup$
    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
    Apr 11 at 12:55







  • 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
    Apr 11 at 13:13
















  • $begingroup$
    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
    Apr 11 at 12:55







  • 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
    Apr 11 at 13:13















$begingroup$
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
Apr 11 at 12:55





$begingroup$
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
Apr 11 at 12:55





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
Apr 11 at 13:13




$begingroup$
@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
Apr 11 at 13:13










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









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











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














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Club Baloncesto Breogán Índice Historia | Pavillón | Nome | O Breogán na cultura popular | Xogadores | Adestradores | Presidentes | Palmarés | Historial | Líderes | Notas | Véxase tamén | Menú de navegacióncbbreogan.galCadroGuía oficial da ACB 2009-10, páxina 201Guía oficial ACB 1992, páxina 183. Editorial DB.É de 6.500 espectadores sentados axeitándose á última normativa"Estudiantes Junior, entre as mellores canteiras"o orixinalHemeroteca El Mundo Deportivo, 16 setembro de 1970, páxina 12Historia do BreogánAlfredo Pérez, o último canoneiroHistoria C.B. BreogánHemeroteca de El Mundo DeportivoJimmy Wright, norteamericano do Breogán deixará Lugo por ameazas de morteResultados de Breogán en 1986-87Resultados de Breogán en 1990-91Ficha de Velimir Perasović en acb.comResultados de Breogán en 1994-95Breogán arrasa al Barça. "El Mundo Deportivo", 27 de setembro de 1999, páxina 58CB Breogán - FC BarcelonaA FEB invita a participar nunha nova Liga EuropeaCharlie Bell na prensa estatalMáximos anotadores 2005Tempada 2005-06 : Tódolos Xogadores da Xornada""Non quero pensar nunha man negra, mais pregúntome que está a pasar""o orixinalRaúl López, orgulloso dos xogadores, presume da boa saúde económica do BreogánJulio González confirma que cesa como presidente del BreogánHomenaxe a Lisardo GómezA tempada do rexurdimento celesteEntrevista a Lisardo GómezEl COB dinamita el Pazo para forzar el quinto (69-73)Cafés Candelas, patrocinador del CB Breogán"Suso Lázare, novo presidente do Breogán"o orixinalCafés Candelas Breogán firma el mayor triunfo de la historiaEl Breogán realizará 17 homenajes por su cincuenta aniversario"O Breogán honra ao seu fundador e primeiro presidente"o orixinalMiguel Giao recibiu a homenaxe do PazoHomenaxe aos primeiros gladiadores celestesO home que nos amosa como ver o Breo co corazónTita Franco será homenaxeada polos #50anosdeBreoJulio Vila recibirá unha homenaxe in memoriam polos #50anosdeBreo"O Breogán homenaxeará aos seus aboados máis veteráns"Pechada ovación a «Capi» Sanmartín e Ricardo «Corazón de González»Homenaxe por décadas de informaciónPaco García volve ao Pazo con motivo do 50 aniversario"Resultados y clasificaciones""O Cafés Candelas Breogán, campión da Copa Princesa""O Cafés Candelas Breogán, equipo ACB"C.B. Breogán"Proxecto social"o orixinal"Centros asociados"o orixinalFicha en imdb.comMario Camus trata la recuperación del amor en 'La vieja música', su última película"Páxina web oficial""Club Baloncesto Breogán""C. B. Breogán S.A.D."eehttp://www.fegaba.com

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Cegueira Índice Epidemioloxía | Deficiencia visual | Tipos de cegueira | Principais causas de cegueira | Tratamento | Técnicas de adaptación e axudas | Vida dos cegos | Primeiros auxilios | Crenzas respecto das persoas cegas | Crenzas das persoas cegas | O neno deficiente visual | Aspectos psicolóxicos da cegueira | Notas | Véxase tamén | Menú de navegación54.054.154.436928256blindnessDicionario da Real Academia GalegaPortal das Palabras"International Standards: Visual Standards — Aspects and Ranges of Vision Loss with Emphasis on Population Surveys.""Visual impairment and blindness""Presentan un plan para previr a cegueira"o orixinalACCDV Associació Catalana de Cecs i Disminuïts Visuals - PMFTrachoma"Effect of gene therapy on visual function in Leber's congenital amaurosis"1844137110.1056/NEJMoa0802268Cans guía - os mellores amigos dos cegosArquivadoEscola de cans guía para cegos en Mortágua, PortugalArquivado"Tecnología para ciegos y deficientes visuales. Recopilación de recursos gratuitos en la Red""Colorino""‘COL.diesis’, escuchar los sonidos del color""COL.diesis: Transforming Colour into Melody and Implementing the Result in a Colour Sensor Device"o orixinal"Sistema de desarrollo de sinestesia color-sonido para invidentes utilizando un protocolo de audio""Enseñanza táctil - geometría y color. Juegos didácticos para niños ciegos y videntes""Sistema Constanz"L'ocupació laboral dels cecs a l'Estat espanyol està pràcticament equiparada a la de les persones amb visió, entrevista amb Pedro ZuritaONCE (Organización Nacional de Cegos de España)Prevención da cegueiraDescrición de deficiencias visuais (Disc@pnet)Braillín, un boneco atractivo para calquera neno, con ou sen discapacidade, que permite familiarizarse co sistema de escritura e lectura brailleAxudas Técnicas36838ID00897494007150-90057129528256DOID:1432HP:0000618D001766C10.597.751.941.162C97109C0155020