Optimizing Data Class Iteration

[lofty bough]

@lime stirrup has a question:

neutronom

I have two data classes which have unique values, I’m iterating by x amount to create these

DataClass[50000] DataClasses;

for(int i = 0; i < 50000; i++)
DataClasses[i] = new DataClass(i);

Is there a more optimal solution in doing this? Currently it takes 8-10 seconds

<@&987246399047479336> please have a look, thanks.

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I have two data classes which have unique values, I’m iterating by x amount to create these DataClass[50000] DataClasses; for(int i = 0; i < 50000; i++) DataClasses[i] = new DataClass(i); Is there a more optimal solution in doing this? Currently i

sses[i] = new DataClass();

I want to optimize this iteration process as it takes a significant amount of time to create all the DataClass objects. Is there a more efficient way to initialize these objects?

One way to optimize the initialization of DataClass objects is by using parallel processing. You can utilize Java's parallel streams to create multiple objects simultaneously, taking advantage of multi-core processors. Here's an example of how you can do it:

DataClasses = IntStream.range(0, 50000)
.parallel()
.mapToObj(i -> new DataClass())
.toArray(DataClass[]::new);

By using parallel streams, Java will automatically distribute the workload across multiple threads, making the initialization process faster.

Additionally, you can consider implementing lazy initialization if not all DataClass objects are needed at once. Instead of creating all 50000 objects at once, you can create them on-demand as they are needed.

Lastly, ensure that your DataClass constructor is optimized for performance. Avoid any unnecessary operations or computations in the constructor that could slow down object creation.

By utilizing parallel processing, lazy initialization, and optimizing your constructor, you can significantly improve the efficiency of initializing your DataClass objects.

- AI generated response

[gaunt token]

i doubt it takes so long

ur probably measuring side effects like jvm startup time instead

[ancient tulip]

a solution which compiles and runs will be more optimal

[gaunt token]

50k items is nothing. ur computer can create that array and fill it with data in a few nanoseconds

u can ofc introduce multithreading here trivially. but again, id question ur way of measuring time

[lime stirrup]

lol just typo

[onyx fern]

@lime stirrup like zabu said, there is no way this takes so much time

[lime stirrup]

I done some more debugging and it only occurs when applying annotations for OpenCL

if the class contains just a standard int[]

int[] array = new int[1024];

it does indeed take milliseconds, but if I use

CLTypes.cl_uint

@ArrayLength(1024)
cl_uint[] array;

the time taken to produce is drastically increased 5+ seconds

[onyx fern]

and what does this annotation do? because that's not vanilla java

[lime stirrup]

it's a jocl extension that is used to write structs for use in opencl

[lime stirrup]

I've reverted to not using OpenCL data within Java now anyway

[onyx fern]

why do you not use jwjgl?

[lime stirrup]

lwjgl just ports to opencl too

or vulkan etc

[onyx fern]

yea but it works

[lime stirrup]

I'm not sure whether it would be a beneficial switch, I don't think there's anything different between the two? They both just port to OpenCL & then everything else has to written in a subset of C

I guess the community is more active ( JOCLs is non existent ) but the answers there would also work for me with JOCL