Parallel

hw14/README.md

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+# HW14 - Parallel Programming
+
+This homework is about parallel programming. 
+Here I realize a console utility which allows to read large FASTA files (500МB+) and count number of letters in each sequence. 
+This utility can be run in parallel to reduce time of program execution.
+
+## Data: 
+* Initial data (human genome) can be downloaded via [link](https://ftp.ncbi.nlm.nih.gov/refseq/H_sapiens/annotation/GRCh38_latest/refseq_identifiers/GRCh38_latest_genomic.fna.gz).
+* Downloaded file should be uncompressed and moved into working directory:
+
+                $ gunzip GRCh38_latest_genomic.fna.gz
+
+## Installation and Usage:
+1. Install necessary libraries
+
+                $ pip install -r requirements.txt
+
+2. To show information about program usage execute the following command:
+
+                $ python parallel.py --help
+
+![image](https://user-images.githubusercontent.com/56733786/166161475-dbf0d745-26a4-4376-9806-23a3cf03d6f9.png)
+
+3. Run calculations and measure time in terminal:
+
+                $ time python parallel.py --input INPUT --threads THREADS
+
+4. The same program can be launched in jupyter notebook - file parallel.ipynb
+
+## Results:
+Program was launched with different number of cores and the following results were obtained:
+
+* 1 core:
+
+![image](https://user-images.githubusercontent.com/56733786/166161751-04f71ca4-e818-4be1-9d9f-bdd3c1ed936f.png)
+
+* 2 cores:
+
+![image](https://user-images.githubusercontent.com/56733786/166161767-72f67a58-218d-41af-8966-dbc440403740.png)
+
+* 4 cores:
+
+![image](https://user-images.githubusercontent.com/56733786/166161778-895b7fcb-cd00-49fb-9e53-af19992c5fd0.png)
+
+
+* 8 cores:
+
+![image](https://user-images.githubusercontent.com/56733786/166161798-b7133afd-9960-4550-816e-36d5352ae535.png)
+
+Also time measurements can be found in parallel.ipynb
+
+
+