Difference between revisions of "Scan"
(Added pack) |
|||
Line 20: | Line 20: | ||
[[File:Hillis-Steele_Prefix_Sum.svg]] | [[File:Hillis-Steele_Prefix_Sum.svg]] | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
==(Optional) Work-efficient Blelloch Scan== | ==(Optional) Work-efficient Blelloch Scan== | ||
Line 81: | Line 63: | ||
{{Parallel|public int[] sumScan(int[] data)}} | {{Parallel|public int[] sumScan(int[] data)}} | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
==(Optional) Blelloch Work Efficient Scan== | ==(Optional) Blelloch Work Efficient Scan== | ||
Line 97: | Line 73: | ||
===Required=== | ===Required=== | ||
{{TestSuite|ScanTestSuite|scan.studio}} | {{TestSuite|ScanTestSuite|scan.studio}} | ||
− | |||
===Optional Work Efficient=== | ===Optional Work Efficient=== | ||
{{TestSuite|WorkEfficientScanTestSuite|scan.challenge}} | {{TestSuite|WorkEfficientScanTestSuite|scan.challenge}} |
Revision as of 16:08, 25 May 2018
Contents
Motivation
Scan, also known as parallel prefix, is a fundamental and useful operation in parallel programming. We will gain experience in building Hillis & Steele scan with an optional work efficient Blellock scan.
Further, the dependencies in scan:
make it seem to have little hope for parallelism. However, simple yet clever approaches can achieve critical path lengths.
While we will simply implement prefix sum, scan can be used for other associative operations.
Background
Hillis-Steele Prefix Sum
(Optional) Work-efficient Blelloch Scan
Code To Investigate
class ArraysHolder
class PowersOfTwoLessThan implements Iterable<Integer>
Code To Implement
Sequential Scan
class: | SequentialScan.java | |
methods: | sumScan | |
package: | scan.studio | |
source folder: | student/src/main/java |
method: public int[] sumScan(int[] data)
(sequential implementation only)
Default Arrays Holder
One of the downsides to parallel scan requires memory. For our scans we add the additional requirement that we will not mutate the incoming array parameter. We could create log(n) arrays, one for each level but that would be wasteful. If we create two array buffers and switch which is the source to read from and which is the destination to write from at each power of two level of the scan, we should be good to go.
The table below shows which array will be passed back for each offset if nextSrcAndDst
used appropriately from a parallel scan.
1 | 2 | 4 | 8 | 16 | |
---|---|---|---|---|---|
src: | data | a | b | a | b |
dst: | a | b | a | b | a |
NOTE: think about which array is the correct one to return from your scan method given how you write your code.
class: | DefaultArraysHolder.java | |
methods: | getSrc getDst nextSrcAndDst size |
|
package: | scan.studio | |
source folder: | student/src/main/java |
Hillis and Steele Parallel Scan
class: | ParallelScan.java | |
methods: | sumScan | |
package: | scan.studio | |
source folder: | student/src/main/java |
method: public int[] sumScan(int[] data)
(parallel implementation required)
(Optional) Blelloch Work Efficient Scan
class: | WorkEfficientScan.java | |
methods: | sumScan | |
package: | scan.challenge | |
source folder: | student/src/main/java |
method: public int[] sumScan(int[] data)
(parallel implementation required)
Testing Your Solution
Correctness
Required
class: | ScanTestSuite.java | |
package: | scan.studio | |
source folder: | testing/src/test/java |
Optional Work Efficient
class: | WorkEfficientScanTestSuite.java | |
package: | scan.challenge | |
source folder: | testing/src/test/java |