I added multithreading part to my code .
public class ThreadClassSeqGroups
{
public Dictionary<string, string> seqGroup;
public Dictionary<string, List<SearchAlgorithm.CandidateStr>> completeModels;
public Dictionary<string, List<SearchAlgorithm.CandidateStr>> partialModels;
private Thread nativeThread;
public ThreadClassSeqGroups(Dictionary<string, string> seqs)
{
seqGroup = seqs;
completeModels = new Dictionary<string, List<SearchAlgorithm.CandidateStr>>();
partialModels = new Dictionary<string, List<SearchAlgorithm.CandidateStr>>();
}
public void Run(DescrStrDetail dsd, DescrStrDetail.SortUnit primarySeedSu,
List<ushort> secondarySeedOrder, double partialCutoff)
{
nativeThread = new Thread(() => this._run(dsd, primarySeedSu, secondarySeedOrder, partialCutoff));
nativeThread.Priority = ThreadPriority.Highest;
nativeThread.Start();
}
public void _run(DescrStrDetail dsd, DescrStrDetail.SortUnit primarySeedSu,
List<ushort> secondarySeedOrder, double partialCutoff)
{
int groupSize = this.seqGroup.Count;
int seqCount = 0;
foreach (KeyValuePair<string, string> p in seqGroup)
{
Console.WriteLine("ThreadID {0} (priority:{1}):\t#{2}/{3} SeqName: {4}",
nativeThread.ManagedThreadId, nativeThread.Priority.ToString(), ++seqCount, groupSize, p.Key);
List<SearchAlgorithm.CandidateStr> tmpCompleteModels, tmpPartialModels;
SearchAlgorithm.SearchInBothDirections(
p.Value.ToUpper().Replace('T', 'U'), dsd, primarySeedSu, secondarySeedOrder, partialCutoff,
out tmpCompleteModels, out tmpPartialModels);
completeModels.Add(p.Key, tmpCompleteModels);
partialModels.Add(p.Key, tmpPartialModels);
}
}
public void Join()
{
nativeThread.Join();
}
}
class Program
{
public static int _paramSeqGroupSize = 2000;
static void Main(Dictionary<string, string> rawSeqs)
{
// Split the whole rawSeqs (Dict<name, seq>) into several groups
Dictionary<string, string>[] rawSeqGroups = SplitSeqFasta(rawSeqs, _paramSeqGroupSize);
// Create a thread for each seqGroup and run
var threadSeqGroups = new MultiThreading.ThreadClassSeqGroups[rawSeqGroups.Length];
for (int i = 0; i < rawSeqGroups.Length; i++)
{
threadSeqGroups[i] = new MultiThreading.ThreadClassSeqGroups(rawSeqGroups[i]);
//threadSeqGroups[i].SetPriority();
threadSeqGroups[i].Run(dsd, primarySeedSu, secondarySeedOrder, _paramPartialCutoff);
}
// Merge results from threads after the thread finish
var allCompleteModels = new Dictionary<string, List<SearchAlgorithm.CandidateStr>>();
var allPartialModels = new Dictionary<string, List<SearchAlgorithm.CandidateStr>>();
foreach (MultiThreading.ThreadClassSeqGroups t in threadSeqGroups)
{
t.Join();
foreach (string name in t.completeModels.Keys)
{
allCompleteModels.Add(name, t.completeModels[name]);
}
foreach (string name in t.partialModels.Keys)
{
allPartialModels.Add(name, t.partialModels[name]);
}
}
}
}
However, the speed with multiple threads is much slower than single thread, and the CPU load is generally <10%.
For example:
The input file contain 2500 strings
_paramGroupSize = 3000, main thread + 1 calculation thread cost 200 sec
_paramGroupSize = 400, main thread + 7 calculation threads cost much more time (I killed it after over 10 mins run).
Is there any problem with my implementation? How to speed it up?
Thanks.
What was the code prior to multithreading? It’s hard to tell what this code is doing, and much of the “working” code seems to be hidden in your search algorithm. However, some thoughts:
DescrStrDetailwhich is passed from variabledsdin yourMainmethod to every child thread. However, the declaration of this variable is missing and so its usage/implementation is unknown. If this variable has locks that prevent multiple threads accessing at the same time, then your multiple threads will potentially be locking eachother out of this data, further slowing performance.