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nekbench's Introduction

Nek5000

Short Tests Examples
Build Build Status

Nek5000 is a fast and scalable open source CFD solver.

Release Notes

Make sure to read the release notes before using the code.

Getting Started

See here.

Troubleshooting

If you run into problems compiling, installing, or running Nek5000, please send a message to the User's Group mailing list.

Reporting Bugs

Nek5000 is hosted on GitHub and all bugs are reported and tracked through the Issues feature on GitHub. However, GitHub Issues should not be used for common troubleshooting purposes. If you are having trouble installing the code or getting your model to run properly, you should first send a message to the User's Group mailing list. If it turns out your issue really is a bug in the code, an issue will then be created on GitHub. If you want to request that a feature be added to the code, you may create an Issue on GitHub.

Contributing

Our project is hosted on GitHub. If you are planning a large contribution, we encourage you to discuss the concept here on GitHub and interact with us frequently to ensure that your effort is well-directed.

nekbench's People

Contributors

malachitimothyphillips avatar stgeke avatar

Stargazers

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Watchers

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Forkers

kris-rowe malachitimothyphillips luspi pwang234 argonne-lcf zimoliao

nekbench's Issues

bugs in the adv benchmark ?

Dumping the output of the adv benchmark shows that the results are different significantly for each run. Can you reproduce that ?

Thanks

block dimension of the axhelm_v0 cuda kernel

I am confused by the dimension of the CUDA kernel. The cuda code below indicates that it is 2-dimensional (threadIdx.x and threadIdx.y), but in kernelHelp.cpp, it is 1-dimensional "axKernel.setRunDims(Nelements, Nq*Nq);". Thanks.

extern "C" global void axhelm_v0(const int numElements,
const dlong offset,
const dfloat * restrict op,
const dfloat * restrict DofToDofD,
const dfloat lambda,
const dfloat * restrict solIn,
dfloat * restrict solOut){

shared dfloat s_DofToDofD[NUM_DOFS_2D];

dfloat r_q[p_Nq];
dfloat r_Aq[p_Nq];

const unsigned int t = threadIdx.x;
const int blk = threadIdx.y;

Update occa version

The current occa version leads to crash when trying to using nsight compute. The latest occa vesion has this fixed.

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