/// <summary>
/// A very customisable aggregation routine
/// </summary>
/// <param name="deals"></param>
/// <param name="vectorLength"></param>
/// <returns></returns>
private NArray AggregateValuations(IList <Deal> deals, int vectorLength)
{
object lockObject = new object();
var rangePartitioner = Partitioner.Create(0, deals.Count);
var sum = new NArray(StorageLocation.Host, vectorLength);
var options = new ParallelOptions();// { MaxDegreeOfParallelism = 2 };
Parallel.ForEach(
// input intervals
rangePartitioner,
options,
// local initial partial result
() => new NArray(StorageLocation.Host, vectorLength),
// loop body for each interval
(range, loopState, initialValue) =>
{
var partialSum = initialValue;
for (int i = range.Item1; i < range.Item2; i++)
{
partialSum.Add(
NArray.Evaluate(() =>
{
return(deals[i].Price(0));
}));
}
return(partialSum);
},
// final step of each local context
(localPartialSum) =>
{
// using a lock to enforce serial access to shared result
lock (lockObject)
{
sum.Add(localPartialSum);
}
});
return(sum);
}
public static int Simple_search_optimized(int n)
{
int count = 0;
NArray <int> arr = new NArray <int>();
arr.SingleArray();
for (int i = 2; i <= n; i++)
{
if (prime_optimized(i, arr))
{
arr.Add(i);
count++;
}
}
return(count);
}
/// <summary>
/// A very customisable aggregation routine
/// </summary>
/// <param name="deals"></param>
/// <param name="vectorLength"></param>
/// <returns></returns>
private NArray AggregateValuations(IList<Deal> deals, int vectorLength)
{
object lockObject = new object();
var rangePartitioner = Partitioner.Create(0, deals.Count);
var sum = new NArray(StorageLocation.Host, vectorLength);
var options = new ParallelOptions();// { MaxDegreeOfParallelism = 2 };
Parallel.ForEach(
// input intervals
rangePartitioner,
options,
// local initial partial result
() => new NArray(StorageLocation.Host, vectorLength),
// loop body for each interval
(range, loopState, initialValue) =>
{
var partialSum = initialValue;
for (int i = range.Item1; i < range.Item2; i++)
{
partialSum.Add(
NArray.Evaluate(() =>
{
return deals[i].Price(0);
}));
}
return partialSum;
},
// final step of each local context
(localPartialSum) =>
{
// using a lock to enforce serial access to shared result
lock (lockObject)
{
sum.Add(localPartialSum);
}
});
return sum;
}
