Abstract
Lowering the energy consumption in applications operating on large datasets is one of the main challenges in modern computing. In this context, it is especially important to lower the energy required to transfer data from/to the memory. Usually, this is obtained by applying smart encoding techniques to the data. In this work, we show how to reduce the switching activity in buses and floating-point units by an approximated canonical signed-digit encoder. The precision of the encoding is
programmable and can be chosen depending on the application’s required accuracy.
programmable and can be chosen depending on the application’s required accuracy.
Original language | English |
---|---|
Title of host publication | Proceedings of 53rd Asilomar Conference on Signals, Systems, and Computers |
Number of pages | 5 |
Publisher | IEEE |
Publication date | 2020 |
ISBN (Electronic) | 978-1-7281-4300-2 |
DOIs | |
Publication status | Published - 2020 |
Event | 2019 Asilomar Conference on Signals, Systems, and Computers - Pacific Grove, United States Duration: 3 Nov 2019 → 6 Nov 2019 |
Conference
Conference | 2019 Asilomar Conference on Signals, Systems, and Computers |
---|---|
Country/Territory | United States |
City | Pacific Grove |
Period | 03/11/2019 → 06/11/2019 |