Difference between revisions of "Iterative Averaging"
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<math>PR(u) = \sum_{v \in B_u} \frac{PR(v)}{L(v)}</math> | <math>PR(u) = \sum_{v \in B_u} \frac{PR(v)}{L(v)}</math> | ||
− | === | + | ===parallel=== |
<nowiki>for (int iteration : new IntegerRange(0, iterationCount)) { | <nowiki>for (int iteration : new IntegerRange(0, iterationCount)) { | ||
forall(slices, (slice) -> { | forall(slices, (slice) -> { | ||
Line 43: | Line 43: | ||
}</nowiki> | }</nowiki> | ||
− | ===phased=== | + | ===parallel phased=== |
<nowiki>Phaser phaser = new Phaser(); | <nowiki>Phaser phaser = new Phaser(); | ||
phaser.bulkRegister(slices.size()); | phaser.bulkRegister(slices.size()); |
Revision as of 17:31, 7 March 2018
Contents
Motivation
X10/Habanero like Phasers have been added to Java since JDK7. We will gain some experience with using Phasers in a parallel for loop context.
Background
- bulkRegister
- arriveAndAwaitAdvance
- arriveAndDeregister (note: not required for this studio, but good to know about.)
Warning: Our use of the forall loop with Phasers does not accurately convey their finicky nature. More than other features, Phasers seem to require more care to get performance improvements. |
Code to Investigate
Sequential Iterative Averaging
class: | SequentialIterativeAverager.java | DEMO: |
methods: | iterativelyAverage | |
package: | iterativeaveraging.demo | |
source folder: | src//java |
method: public void iterativelyAverage(List<Slice<double[]>> slices, double[] a, double[] b, int iterationCount)
(sequential implementation only)
for (int iteration = 0; iteration < iterationCount; iteration++) { double[] arrayPrev = ((iteration & 1) == 0) ? a : b; double[] arrayNext = ((iteration & 1) == 0) ? b : a; for (Slice<double[]> slice : slices) { for (int index = slice.getMinInclusive(); index < slice.getMaxExclusive(); index++) { arrayNext[index] = (arrayPrev[index - 1] + arrayPrev[index + 1]) * 0.5; } } }
PageRank
parallel
for (int iteration : new IntegerRange(0, iterationCount)) { forall(slices, (slice) -> { PageRank[] arrayPrev = ((iteration & 1) == 0) ? a : b; PageRank[] arrayNext = ((iteration & 1) == 0) ? b : a; for (int index = slice.getMinInclusive(); index < slice.getMaxExclusive(); index++) { arrayNext[index] = calculateNextRank(index, arrayPrev); } }); }
parallel phased
Phaser phaser = new Phaser(); phaser.bulkRegister(slices.size()); forall(slices, (slice) -> { for (int iteration : new IntegerRange(0, iterationCount)) { PageRank[] arrayPrev = ((iteration & 1) == 0) ? a : b; PageRank[] arrayNext = ((iteration & 1) == 0) ? b : a; for (int index = slice.getMinInclusive(); index < slice.getMaxExclusive(); index++) { arrayNext[index] = calculateNextRank(index, arrayPrev); } phaser.arriveAndAwaitAdvance(); } // note: arriveAndDeregister not required for this application phaser.arriveAndDeregister(); });
Code to Implement
class: | ForForallIterativeAverager.java | |
methods: | iterativelyAverage | |
package: | iterativeaveraging.studio | |
source folder: | student/src/main/java |
method: public void iterativelyAverage(List<Slice<double[]>> slices, double[] a, double[] b, int iterationCount)
(parallel implementation required)
class: | ForallForPhasedIterativeAverager.java | |
methods: | iterativelyAverage | |
package: | iterativeaveraging.studio | |
source folder: | student/src/main/java |
method: public void iterativelyAverage(List<Slice<double[]>> slices, double[] a, double[] b, int iterationCount)
(parallel implementation required)
Testing Your Solution
Correctness
class: | IterativeAveragingTestSuite.java | |
package: | iterativeaveraging.studio | |
source folder: | testing/src/test/java |
Performance
class: | IterativeAveragingTiming.java | |
package: | iterativeaveraging.studio | |
source folder: | src/main/java |