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[2020] Total E&P RT USA, LLC. and Rice University All Rights Reserved.

NOTICE: All information contained herein is, and remains the property of Total E&P RT USA, LLC. and Rice University.
The intellectual and technical concepts contained herein are proprietary to Total E&P RT USA, LLC. and Rice University and may be covered by U.S. and Foreign Patents, patents in process, and are protected by trade secret or copyright law.


The code is provided as it is, use it at your own risk and expect no support, the authors are not liable under any circumstances. Feedback is welcome.

contact: [email protected]

Artifact of Minimod Case Study for GPA at CGO2021

This repository provides the artifact for one of the case studies in our paper "GPA: A GPU Performance Advisor Based on Instruction Sampling" (available at https://arxiv.org/abs/2009.04061). This is intended to be used as a git submodule of an umbrella artifact repository (https://github.com/Jokeren/GPA). If you come to this repository directly, please go to its umbrella repository for additional details and instructions.

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gpa-minimod-artifacts's Issues

Question about the parameters in the kernel

I have a few questions about the kernel parameters.

#define N_RADIUS 4
#define N_THREADS_PER_BLOCK_DIM 8

__global__ void target_inner_3d_kernel(

Does N_RADIUS depend on N_THREADS_PER_BLOCK_DIM ?

Can you specify which need to be changed in the kernel when the number of threads per dimension is not the same (e.g. 8,8,4) for the three dimensions ?

Thanks

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