Cekirdekler
Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity). (by tugrul512bit)
ParallelReductionsBenchmark
Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast! (by ashvardanian)
Cekirdekler | ParallelReductionsBenchmark | |
---|---|---|
1 | 2 | |
93 | 60 | |
- | - | |
10.0 | 4.7 | |
almost 2 years ago | 19 days ago | |
C# | C++ | |
GNU General Public License v3.0 only | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Cekirdekler
Posts with mentions or reviews of Cekirdekler.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-25.
ParallelReductionsBenchmark
Posts with mentions or reviews of ParallelReductionsBenchmark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-02.
-
Failing to Reach 204 GB/S DDR4 Bandwidth
For the single threaded version, they have a data hazard on the sums that could be smoothed out with a little loop unrolling and separate variables.
But in the [threaded version](https://github.com/unum-cloud/ParallelReductions/blob/fd16d9...) they have separate slots for an accumulator but it's still in a shared vector, which most likely has the issue I described.