A. Delmas Lascorz, S. Sarify, I. Edo, D. Malone Stuart, O. Mohamed Awad, P. Judd, M. Mahmoud, M. Nikolic, K. Siu, Z. Poulos, A. Moshovos ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning
M. Mahmoud, K. Siu, and A. Moshovos Diffy: a déjà vu-free differential deep neural network accelerator
A. Delmas Lascorz, P. Judd, D. Malone Stuart, Z. Poulos, M. Mahmoud, S. Sharify, M. Nikolic, K. Siu, and A. Moshovos Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks
The following parameters are valid for this architecture:
| Name | Data Type | Description | Valid Options | Default |
|---|---|---|---|---|
| lanes | uint32 | Number of concurrent multiplications per PE | Positive Number | 16 |
| columns | uint32 | Number of columns/windows in the tile | Positive number | 16 |
| rows | uint32 | Number of rows/filters in the tile | Positive number | 16 |
| tiles | uint32 | Number of tiles | Positive number | 16 |
| pe_width | uint32 | PE input bit-width | Positive number | 16 |
| group_size | uint32 | Number of columns per group | Positive number | 1 |
| column_register | uint32 | Number of registers per SIP | Positive number | 0 |
| minor_bit | bool | Calculate also the minor bit for dynamic precisions | True-False | false |
| diffy | bool | Add Differential Convolution on top | True-False | false |
| tactical | bool | Add BitTactical zero weight skipping on top | True-False | false |
| lookahead_h | uint32 | Lookahead value of H | Positive number | 2 |
| lookaside_d | uint32 | Lookaside value of D | Positive number | 5 |
| search_shape | uint32 | Search shape for the scheduler | 'T'-'L' | 'T' |
Example batch files:
- ShapeShifter_example: Performs ShapeShifter simulation and calculates potentials
- ShapeShifterDiffy_example: Performs ShapeShifter Diffy simulation
- BitTacticalP_example: Performs BitTacticalP simulation and calculates potentials