Difference between revisions of "Nucleobase Counting"
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===Count Range=== | ===Count Range=== | ||
{{Sequential|countRangeSequential}} | {{Sequential|countRangeSequential}} | ||
+ | |||
+ | This utility method should count the number of times a particular nucleobase occurs in the array between [min, maxExclusive). | ||
<spoiler show="spoiler" hide="spoiler">Use a for loop to iterate from min to maxExclusive.</spoiler> | <spoiler show="spoiler" hide="spoiler">Use a for loop to iterate from min to maxExclusive.</spoiler> |
Revision as of 21:56, 17 January 2018
Contents
Motivation
- get our feet wet with parallel programming
- gain experience with the async and finish constructs
- take different approaches to splitting up the work
We will solve the problem sequentially, then split the work up into 2 tasks, then coarsen the work n-ways, and finally split up the work in a divide-and-conquer recursive style.
Background
Bioinformatics
For this assignment, you will be writing sequential and parallel code to count nucleobases in a human X chromosome.
DNA is made up of four nucleobases: cytosine, guanine, adenine, and thymine. A strand of DNA can thus be represented as a string of letters representing these nucleobases, for example: “ACCGCATAAAGTCC.” However, DNA sequencing is typically not 100% accurate, so some of the nucleobases are not read with high certainty. These bases can be represented as an “N.” A sequence then might look something like “NCCGCATNAAGTCC.” Your goal is to write code that counts the number of occurrences a particular nucleobase or uncertain reads.
We will be using actual data pulled from the US National Library of Medicine, a database maintained by the National Institute of Health. We have already provided you the code that you need to access the chromosome from the database and check your work. You must implement a sequential solution and three parallel solutions to count the given bases in these sequences.
For some more optional background on DNA and nucleotide bases, please check out
Parallel Programming
Related Videos
- Finish & Async: Lower Upper Split
- With Final: Using Array Slots
- Dealing With Final: IntegerRange
- Coarsening: N-Way Split
- Finish & Async Coarsening: N-Way Split
- Divide and Conquer: Array Sum Example
Mistakes to Avoid
Warning: Do NOT copy the data. We are simply reading the chromosome data, so there is no reason to copy it. |
Code to Implement
class: | MidpointUtils.java | |
methods: | caclulateMidpoint | |
package: | midpoint.assignment | |
source folder: | student/src/main/java |
You will find the starting point for this assignment is in the count folder. In the count.assignment package you will find [NucleobaseCounting.java].
Utility Methods
Midpoint
method: calculateMidpoint
(sequential implementation only)
In this method, you will need to calculate the midpoint between two numbers. This is as simple as finding the average between the two numbers. There is no need to worry about rounding correctly, just drop everything after the decimal point if the midpoint is not automatically an int.
There are at least two correct ways to implement the midpoint:
- Option A:
- Option B:
It is hard to find 1D references for midpoint. Wolfram MathWorld has a breakdown of Midpoint in 2D and 3D. Pick any dimension you like.
Count Range
method: countRangeSequential
(sequential implementation only)
This utility method should count the number of times a particular nucleobase occurs in the array between [min, maxExclusive).
Sequential Solution
method: countSequential
(sequential implementation only)
This solution should be achieved with a simple call to one of the utility methods you wrote.
Parallel Solutions
You need to implement three different parallel solutions to this problem. The first will involve splitting the array into two equal halves, then going through each half of the array in parallel. The second will involve splitting the array into n different pieces, then going through each of those pieces of the array in parallel. The third and final implementation will recursively divide the array until a threshold is reached.
Lower/Upper Split
method: countParallelUpperLowerSplit
(parallel implementation required)
In order to start with then two equal halves solution, please modify the countParallelUpperLowerSplit
method. When you’re ready to begin, delete the return statement and begin implementing your solution! Again, please refer to your notes from lecture for help, as we tackled a very similar problem in class.
Hint: don’t forget the finish block! The format will be very similar to the examples.
Coarsening N-Way Split
method: countParallelNWaySplit
(parallel implementation required)
After you’re finished with that, please modify the countParallelNWaySplit
method for the n different pieces solution. As before, when you’re ready to begin, delete the return statement and begin implementing your solution! Again, please refer to your notes from lecture for help, as we tackled a very similar problem in class.
Hint: make an array to store the results of each task. Split the array into n different chunks, each of which contains 1/n elements. Once each task has summed up the results from its chunk, add the results from each chunk to get your final answer.
Divide and Conquer
method: countParallelDivideAndConquerKernel
(parallel implementation required)
Testing Your Solution
Correctness
class: | CountTestSuite.java | |
package: | count.assignment | |
source folder: | testing/src/test/java |
Launch CountTestSuite.java as a JUnit Test to run all of the tests. CountTestSuite.java is located in src/test/java count.assignment package. You can initiate this via right clicking on CountTestSuite.java and selecting "Run As..." -> "JUnit Test". [screenshot]
Performance
class: | NucleobaseCountTiming.java | |
package: | count.assignment | |
source folder: | src/main/java |
Rubric
As always, please make sure to cite your work appropriately.
Total points: 100
- Correct countRangeSequential (10)
- Correct countSequential (5)
- Correct calculateMidpoint (5)
- Correct and Parallel countParallelLowerUpperSplit (20)
- Correct and Parallel countParallelNWaySplit (25)
- Correct and Parallel countParallelDivideAndConquerKernel (25)
- Clarity and efficiency (10)