arcstone tcad

Arcstone TCAD

Dr. Guangyi Sun

arcstone@aliyun.comguangyi@nankai.edu.cn

Copyright Arcstone 2016

Dataset：10000 x 10000 x 20Conformal deposition

Features

• Highly efficient volume data compression• Sparse voxel-based data structure

• Super fast morphology operation• Blocked adaptive voxel merging• Parallel tree node iteration and accessing

• Interactive 3D visualization• BVH scheme• LOD control• Bit level voxel encoding• Surface point rendering• Streaming，10000x10000x100,at 20fps，memory <100MB

• Level set method• Physically driven modeling

• Volume of fluid method• Topologically driven modeling

• Highly efficient volume data compression• Sparse voxel-based data structure

• Super fast morphology operation• Blocked adaptive voxel merging• Parallel tree node iteration and accessing

• Interactive 3D visualization• BVH scheme• LOD control• Bit level voxel encoding• Surface point rendering• Streaming，10000x10000x100,at 20fps，memory <100MB

• Level set method• Physically driven modeling

• Volume of fluid method• Topologically driven modeling

Copyright Arcstone 2016

Bulk machiningBulk machining

Si:100umDRIE:50umCVD:8um

Dataset：10000 x 10000 x 100， 1 voxel=1 um

Memory: 1.5-3.2G，time: 150s

Copyright Arcstone 2016

Copyright Arcstone 2016

Copyright Arcstone 2016

Smaller point view showing the surface

DRIE of SiliconDRIE of Silicon

Si:50umDRIE:25um

Dataset：16000 x 16000 x 50， 1 voxel=1 um

Memory: 3.5G，time: 102s

Copyright Arcstone 2016

Copyright Arcstone 2016

Copyright Arcstone 2016

Smaller point view showing the surface

DRIE of silicon and CVDDRIE of silicon and CVD

Si:50umDRIE:25umCVD：8um

Dataset：16000 x 16000 x 60， 1 voxel=1 um

Memory: 4.8G，time: 180s

Copyright Arcstone 2016

Copyright Arcstone 2016

Smaller point view showing the surface

Volume of fluid method

Dataset：4000 x 4000 x 100Dilation radius: 20 voxelsTime: < 5s

Copyright Arcstone 2016

Next•Tree-based fast DDA•Layout compression (2d tree，RLE encoding)•Parallization（boost、tbb、OpenMP）

Copyright Arcstone 2016