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en-us2017 Maplesoft, A Division of Waterloo Maple Inc.Maplesoft Document SystemSat, 23 Sep 2017 02:01:11 GMTSat, 23 Sep 2017 02:01:11 GMTThe most recent questions and posts on MaplePrimes tagged with cpuhttp://www.mapleprimes.com/images/mapleprimeswhite.jpgMaplePrimes - Questions and Posts tagged with cpu
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Time data is not being updated. What does that mean?
https://www.mapleprimes.com/questions/220810-Time-Data-Is-Not-Being-Updated-What?ref=Feed:MaplePrimes:Tagged With cpu
<p>In the right bottom corner of the Maple window, there is data on Time, Bytes, and Available. My task is supposed to perform computation, however the Time data reached the value of 33393.1 s (about 9 hours) and is not being updated (the value does not increase) anymore for at least half an hour. Is this normal or does it mean that something is wrong with my computation process? Windows Task Manager indicates that CPU Usage is 100% and mserver uses about 40-50%. The procedure I use (diffalg(04), Rosenfeld-Groebner) is such that I have no idea how much time the task will require.</p>
<p>Thank you</p>
<p>In the right bottom corner of the Maple window, there is data on Time, Bytes, and Available. My task is supposed to perform computation, however the Time data reached the value of 33393.1 s (about 9 hours) and is not being updated (the value does not increase) anymore for at least half an hour. Is this normal or does it mean that something is wrong with my computation process? Windows Task Manager indicates that CPU Usage is 100% and mserver uses about 40-50%. The procedure I use (diffalg(04), Rosenfeld-Groebner) is such that I have no idea how much time the task will require.</p>
<p>Thank you</p>
220810Wed, 11 Jan 2017 08:21:31 ZakhmeteliakhmeteliMaple 2015.0 : comparisons of cpu time between Windows 7 and XP machines
https://www.mapleprimes.com/questions/215069-Maple-20150--Comparisons-Of-Cpu-Time?ref=Feed:MaplePrimes:Tagged With cpu
<p> Hi everybody,</p>
<p>Until recently I was using<strong> Maple 2015.0</strong> on this PC :</p>
<p><strong>Windows XP</strong><strong><br> <strong>2 dual core proc Intel(R) Xeon(R) CPU E3-1225 V2 ; 3.19 GHz</strong><br> <strong>64 bytes,</strong><br> <strong>16 Go RAM</strong></strong></p>
<p>For two days now I am using <strong>Maple 2015.0</strong> on this one</p>
<p><strong>Windows 7</strong><strong><br> <strong>4 dual core proc Intel(R) Xeon(R) CPU 5-2637 V3 ; 3.50 GHz</strong><br> <strong>64 bytes,</strong><br> <strong>64 Go RAM</strong></strong></p>
<p><br> Comparisons of the running times for <strong>exactly the same code</strong>, consisting in <strong>10000 independent Monte Carlo simulations</strong> distributed over all the nodes (resp 4 and 8) give :</p>
<p><strong>Windows XP : 504 sec </strong>(with a variation of the order of +/- 3s for different replicates)</p>
<p><strong>Windows 7 : 343 sec </strong>(with a variation of the order of +/- 3s for different replicates)</p>
<p><br> The expected running time should be 504 * (3.2/3.5) * (4/8) = <strong>230 s</strong><strong><br> </strong>(or 504 * (4/8) = <strong>252 s</strong> if you neglect the acceleration due to the clock rate)<br> <strong>The realized running time (343 s) is thus at least 40% larger than the expected one.</strong><br> <br> <br> Does anybody has already observed this kind of performance loss during<strong> XP -> 7</strong> migration ?<br> Are there some comparisons of cpu times between Windows XP and 7 ?<br> <br> <br> <strong>Thank you all for sharing your own experience.</strong><br> <br><br> <br> postscript : a <strong><span style="text-decoration: underline;">NOTIONAL</span></strong>example of how the computations are distributed is given below<br> <br> NbOfRuns := 10000:<br> <br> # Data is a Matix(NbOfRuns, NbOfCols, …) constructed elsewhere<br> <br> NbOfNodes := Grid:-NumNodes():<br> NbOfRunsPerNode := NbOfRuns / NbOfNodes:<br> for k from 0 to NbOfNodes do<br> FirstData := 1 + k * NbOfRunsPerNode: <br> LastData := (k+1) * NbOfRunsPerNode:<br> Grid:-Run(k+1, MyCode, [Data[FirstData..LastData, ..], …])<br> end do:</p><p> Hi everybody,</p>
<p>Until recently I was using<strong> Maple 2015.0</strong> on this PC :</p>
<p><strong>Windows XP</strong><strong><br /> <strong>2 dual core proc Intel(R) Xeon(R) CPU E3-1225 V2 ; 3.19 GHz</strong><br /> <strong>64 bytes,</strong><br /> <strong>16 Go RAM</strong></strong></p>
<p>For two days now I am using <strong>Maple 2015.0</strong> on this one</p>
<p><strong>Windows 7</strong><strong><br /> <strong>4 dual core proc Intel(R) Xeon(R) CPU 5-2637 V3 ; 3.50 GHz</strong><br /> <strong>64 bytes,</strong><br /> <strong>64 Go RAM</strong></strong></p>
<p><br /> Comparisons of the running times for <strong>exactly the same code</strong>, consisting in <strong>10000 independent Monte Carlo simulations</strong> distributed over all the nodes (resp 4 and 8) give :</p>
<p><strong>Windows XP : 504 sec </strong>(with a variation of the order of +/- 3s for different replicates)</p>
<p><strong>Windows 7 : 343 sec </strong>(with a variation of the order of +/- 3s for different replicates)</p>
<p><br /> The expected running time should be 504 * (3.2/3.5) * (4/8) = <strong>230 s</strong><strong><br /> </strong>(or 504 * (4/8) = <strong>252 s</strong> if you neglect the acceleration due to the clock rate)<br /> <strong>The realized running time (343 s) is thus at least 40% larger than the expected one.</strong><br /> <br /> <br /> Does anybody has already observed this kind of performance loss during<strong> XP -> 7</strong> migration ?<br /> Are there some comparisons of cpu times between Windows XP and 7 ?<br /> <br /> <br /> <strong>Thank you all for sharing your own experience.</strong><br /> <br /><br /> <br /> postscript : a <strong><span style="text-decoration: underline;">NOTIONAL</span></strong>example of how the computations are distributed is given below<br /> <br /> NbOfRuns := 10000:<br /> <br /> # Data is a Matix(NbOfRuns, NbOfCols, …) constructed elsewhere<br /> <br /> NbOfNodes := Grid:-NumNodes():<br /> NbOfRunsPerNode := NbOfRuns / NbOfNodes:<br /> for k from 0 to NbOfNodes do<br /> FirstData := 1 + k * NbOfRunsPerNode: <br /> LastData := (k+1) * NbOfRunsPerNode:<br /> Grid:-Run(k+1, MyCode, [Data[FirstData..LastData, ..], …])<br /> end do:</p>215069Mon, 25 Jul 2016 13:44:01 Zsand15sand15