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I'm currently working in my master thesis (Distributed Multi-GPU k-Nearest-Neighbor algorithm using Locality Sensitive Hashing and SYCL). I've already tested my implementation with ComputeCpp, hipSYCL and oneAPI.
I'm currently working on a table containing possible hardware targets and how each implementation supports those targets.
For example for ComputeCpp:
Intel CPUs: OpenCL (SSE4.1 reuqired)
AMD CPUs: OpenCL
NVIDIA GPUs: CUDA + PTX (experimental)
AMD GPUs: OpenCL + SPIR
Intel GPUs: OpenCL
Intel FPGAs: N/A
Xilinx FPGAs: N/A
Now I'm not sure about the oneAPI support and implementation for each of these hardware targets:
Intel CPUs: OpenCL
AMD CPUs: OpenCL (are AMD CPUs supported?)
NVIDIA GPUs: CUDA + PTX
AMD GPUs: are AMD GPUs supported?
Intel GPUs: OpenCL + SPIR
Intel FPGAs: OpenCL + SPIR
Xilinx FPGAs: are other FPGAs supported too?
Sorry if this is the wrong way to ask such a question.
I would be very happy to receive an answer.
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Hi Marcel,
Thanks for reaching out to us.
As of now, Intel OneAPI targets only Intel Specific Processors and Accelerators. You can find all the supported devices here:
However, there is a Codeplay contribution to dpcpp through which you can target NVIDIA GPU's(only). For more info on how to use it you can refer to this below article:
We also have a detailed OneAPI specification which you can refer: https://spec.oneapi.com/versions/latest/index.html
Please reach out to us if you face any issue or if you have any more questions.
Regards
Prasanth
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Hi Marcel,
We haven't heard back from you. Did you find the answer helpful?
Please reach out to us if you need any more info.
Regards
Prasanth
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Hi Marcel,
We are closing this thread considering your query has been answered.
Please raise a new thread for any further queries.
Any further interaction in this thread will be considered community only
Regards
Prasanth

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