External polyphase merge sort - poor performanceRacing Java Arrays.sort with NON recursive Merge Sort...
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External polyphase merge sort - poor performance
Racing Java Arrays.sort with NON recursive Merge Sort implementationConcurrent task processing queueEfficient Multithreaded File Processessing in JavaFile-based fixed-record merge sortExternal bottom up merge sort too slowParallel integer tree sort algorithm in JavaMemory/performance of merge sort codeParsing shorts from binary file and finding the closest and furthest pointsNode comparison using priority queue for Dijkstra's Shortest Path AlgorithmBottom-up singly linked list merge sort in C++
$begingroup$
I have implemented external polyphase merge sort which is useful to sort large files that do not fit into main memory. My implementation uses Priority queue as an internal data structure used to extract the smallest element when needed. For example:
int min_file;
FileRecord fr = queue.poll();
buff_writer.write(fr.getValue());
min_file = fr.getFileIndex(); //used to read from file from where min was taken
The algorithm (see link below) works as expected but it is very slow. The first - distribution phase works just fine without any performance issues. The problem must be somewhere in the second - merge phase. I have already removed/fixed some minor performance issues but the major issue is obviously still present.
More info about the algorithm itself can be found here and my implementation is available here (readme file and sample input file attached as well).
Thank you very much for the code review and suggestions.
java mergesort
New contributor
$endgroup$
add a comment |
$begingroup$
I have implemented external polyphase merge sort which is useful to sort large files that do not fit into main memory. My implementation uses Priority queue as an internal data structure used to extract the smallest element when needed. For example:
int min_file;
FileRecord fr = queue.poll();
buff_writer.write(fr.getValue());
min_file = fr.getFileIndex(); //used to read from file from where min was taken
The algorithm (see link below) works as expected but it is very slow. The first - distribution phase works just fine without any performance issues. The problem must be somewhere in the second - merge phase. I have already removed/fixed some minor performance issues but the major issue is obviously still present.
More info about the algorithm itself can be found here and my implementation is available here (readme file and sample input file attached as well).
Thank you very much for the code review and suggestions.
java mergesort
New contributor
$endgroup$
add a comment |
$begingroup$
I have implemented external polyphase merge sort which is useful to sort large files that do not fit into main memory. My implementation uses Priority queue as an internal data structure used to extract the smallest element when needed. For example:
int min_file;
FileRecord fr = queue.poll();
buff_writer.write(fr.getValue());
min_file = fr.getFileIndex(); //used to read from file from where min was taken
The algorithm (see link below) works as expected but it is very slow. The first - distribution phase works just fine without any performance issues. The problem must be somewhere in the second - merge phase. I have already removed/fixed some minor performance issues but the major issue is obviously still present.
More info about the algorithm itself can be found here and my implementation is available here (readme file and sample input file attached as well).
Thank you very much for the code review and suggestions.
java mergesort
New contributor
$endgroup$
I have implemented external polyphase merge sort which is useful to sort large files that do not fit into main memory. My implementation uses Priority queue as an internal data structure used to extract the smallest element when needed. For example:
int min_file;
FileRecord fr = queue.poll();
buff_writer.write(fr.getValue());
min_file = fr.getFileIndex(); //used to read from file from where min was taken
The algorithm (see link below) works as expected but it is very slow. The first - distribution phase works just fine without any performance issues. The problem must be somewhere in the second - merge phase. I have already removed/fixed some minor performance issues but the major issue is obviously still present.
More info about the algorithm itself can be found here and my implementation is available here (readme file and sample input file attached as well).
Thank you very much for the code review and suggestions.
java mergesort
java mergesort
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henrichhenrich
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