# SOMALib: Library of Exact and Approximate Activation Functions for Hardware-efficient Neural Network Accelerators

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/somalib-library-of-exact-and-approximate-activation-functions-for-hardware/

## Facts

| Field | Value |
| --- | --- |
| Author Names | H C Prashanth,Madhav Rao |
| Citations | 27 |
| DOI | 10.1109/iccd56317.2022.00114 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4312399146 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Madhav Rao](https://scholariq.org/researchers/madhav-rao/)

## Paper journal

- [2022 IEEE 40th International Conference on Computer Design (ICCD)](https://scholariq.org/journals/2022-ieee-40th-international-conference-on-computer-design-iccd/)

## Paper primary topic

- [Evolutionary Algorithms and Applications](https://scholariq.org/topics/evolutionary-algorithms-and-applications/)

## Paper topics

- [Evolutionary Algorithms and Applications](https://scholariq.org/topics/evolutionary-algorithms-and-applications/)
- [Low-power high-performance VLSI design](https://scholariq.org/topics/low-power-high-performance-vlsi-design/)
- [VLSI and FPGA Design Techniques](https://scholariq.org/topics/vlsi-and-fpga-design-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.