Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Neural processing unit"'
Publikováno v:
ETRI Journal, Vol 46, Iss 5, Pp 839-850 (2024)
As computing systems become increasingly larger, high-performance comput-ing (HPC) is gaining importance. In particular, as hyperscale artificial intelli-gence (AI) applications, such as large language models emerge, HPC has become important even in
Externí odkaz:
https://doaj.org/article/d13945cf961545b3becd167f104a2b89
Big data is gaining overwhelming attention since the last decade. Almost all the fields of science and technology have experienced a considerable impact from it. The cloud computing paradigm has been targeted for big data processing and mining in a m
Externí odkaz:
http://arxiv.org/abs/2104.05765
Publikováno v:
IEEE Access, Vol 11, Pp 119898-119932 (2023)
We present a tiny MultiLayer Perceptron (MLP) accelerator named Single Perceptron Linear Vector Processor (SPLVP) that aims at extending the capabilities of limited resources MCUs, enabling inference time speedup and main CPU off-load. It is based on
Externí odkaz:
https://doaj.org/article/ff858d89f383410ca05fd9bc0af7ec09
Autor:
Jaehoon Chung, HyunMi Kim, Kyoungseon Shin, Chun-Gi Lyuh, Yong Cheol Peter Cho, Jinho Han, Youngsu Kwon, Young-Ho Gong, Sung Woo Chung
Publikováno v:
ETRI Journal, Vol 44, Iss 5, Pp 849-858 (2022)
Dynamic voltage frequency scaling (DVFS) has been widely adopted for runtime power management of various processing units. In the case of neural processing units (NPUs), power management of neural network applications is required to adjust the freque
Externí odkaz:
https://doaj.org/article/7019db6b66c447488c26803a9450cb76
Akademický článek
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Autor:
Erez Manor, Shlomo Greenberg
Publikováno v:
IEEE Access, Vol 10, Pp 73484-73493 (2022)
In recent years, the need for the efficient deployment of Neural Networks (NN) on edge devices has been steadily increasing. However, the high computational demand required for Machine Learning (ML) inference on tiny microcontroller-based IoT devices
Externí odkaz:
https://doaj.org/article/236b8f19793441c68de6920ad53884bd
Autor:
Tim Bucher, Hussam Amrouch
Publikováno v:
IEEE Access, Vol 10, Pp 21970-21978 (2022)
The recent renaissance in machine learning is requesting computing power at an ever-increasing rate. In order to meet this demand, tensor processing units (TPU) are becoming popular because they hold the promise to be more efficient in terms of power
Externí odkaz:
https://doaj.org/article/de7d2bb8bf94472a8d007e88d2f3952f
Publikováno v:
Sensors, Vol 23, Iss 12, p 5424 (2023)
Thispaper compares the usability of various Apple MacBook Pro laptops were tested for basic machine learning research applications, including text-based, vision-based, and tabular data. Four tests/benchmarks were conducted using four different MacBoo
Externí odkaz:
https://doaj.org/article/f055ba58f4d94125b2911cf9d45aec66
PIMCaffe: Functional Evaluation of a Machine Learning Framework for In-Memory Neural Processing Unit
Publikováno v:
IEEE Access, Vol 9, Pp 96629-96640 (2021)
The large amount of memory usage in recent machine learning applications imposes a significant system burden with respect to power and processing speed. To cope with such a problem, Processing-In-Memory (PIM) techniques can be applied as an alternati
Externí odkaz:
https://doaj.org/article/8aaad457cb7647cea0c18e6ebc9da8d1
Akademický článek
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