Difference between revisions of "Scan"

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(Code To Investigate)
(Code To Implement)
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{{Sequential|public static int[] sumScanInclusive(SwappableIntArrays swappable)}}
{{Sequential|public static int[] sumScanInclusive(int[] data)}}
{{Warning|Do NOT mutate the data parameter.  Return a new array which contains the sum scan of data.}}
==Hillis and Steele Parallel Scan==
==Hillis and Steele Parallel Scan==
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{{Parallel|public int[] sumScan(int[] data)}}
{{Parallel|public int[] sumScanInclusive(SwappableIntArrays swappable)}}
==(Optional) Blelloch Work Efficient Scan==
==(Optional) Blelloch Work Efficient Scan==

Revision as of 04:36, 1 April 2019


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:

y_i = y_{i-1} + x_i

make it seem to have little hope for parallelism. However, simple yet clever approaches can achieve \log n critical path lengths.

While we will simply implement prefix sum, scan can be used for other associative operations.


Prefix Sum

Hillis-Steele Prefix Sum

Hillis and Steele Algorithm

Data parallel algorithms

Hillis-Steele Prefix Sum.svg

(Optional) Work-efficient Blelloch Scan

Blelloch Algorithm

Scan Primitives for Vector Computers

Prefix Sums and Their Applications

Prefix sum 16.svg

Code To Investigate

class SwappableIntArrays extends AbstractSwappable



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 swap 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.

The Core Questions

  • What are the tasks?
  • What is the data?
  • Is the data mutable?
  • If so, how is it shared?

Code To Implement

Sequential Scan

class: SequentialScan.java Java.png
methods: sumScanInclusive
package: scan.studio
source folder: src/main/java

method: public static int[] sumScanInclusive(int[] data) Sequential.svg (sequential implementation only)

Attention niels epting.svg Warning:Do NOT mutate the data parameter. Return a new array which contains the sum scan of data.

Hillis and Steele Parallel Scan

class: StepEfficientParallelScan.java Java.png
methods: sumScanInclusive
package: scan.studio
source folder: src/main/java

method: public int[] sumScanInclusive(SwappableIntArrays swappable) Parallel.svg (parallel implementation required)

(Optional) Blelloch Work Efficient Scan

class: WorkEfficientParallelScan.java Java.png
methods: sumScanExclusiveInPlace
package: scan.challenge
source folder: src/main/java

method: public static void sumScanExclusiveInPlace(int[] data) Parallel.svg (parallel implementation required)

Testing Your Solution



class: ScanTestSuite.java Junit.png
package: scan.studio
source folder: src/test/java

Optional Work Efficient

class: WorkEfficientScanTestSuite.java Junit.png
package: scan.challenge
source folder: src/test/java