Name
Title | ||
|---|---|---|
AI Tax in Mobile SoCs: End-to-end Performance Analysis of Machine Learning in Smartphones |
Abstract | ||
|---|---|---|
Mobile software is becoming increasingly feature rich, commonly being accessorized with the powerful decision making capabilities of machine learning (ML). To keep up with the consequently higher power and performance demands, system and hardware architects add specialized hardware units onto their system-on-chips (SoCs) coupled with frameworks to delegate compute optimally. While these SoC innova... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISPASS51385.2021.00027 | 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) |
Keywords | DocType | ISBN |
Computational modeling,Pipelines,Finance,Machine learning,Benchmark testing,Software,Hardware | Conference | 978-1-7281-8643-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Buch | 1 | 0 | 0.34 |
| Zahra Azad | 2 | 5 | 1.10 |
| Ajay Joshi | 3 | 792 | 56.02 |
| Vijay Janapa Reddi | 4 | 2931 | 140.26 |