Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nasiri, Nasibeh"'
Autor:
Colangelo, Philip, Nasiri, Nasibeh, Mishra, Asit, Nurvitadhi, Eriko, Margala, Martin, Nealis, Kevin
CNNs have been shown to maintain reasonable classification accuracy when quantized to lower precisions. Quantizing to sub 8-bit activations and weights can result in accuracy falling below an acceptable threshold. Techniques exist for closing the acc
Externí odkaz:
http://arxiv.org/abs/1806.11547
Heterogeneous computing can potentially offer significant performance and performance per watt improvements over homogeneous computing, but the question "what is the ideal mapping of algorithms to architectures?" remains an open one. In the past coup
Externí odkaz:
http://arxiv.org/abs/1605.04582
We introduce SparkCL, an open source unified programming framework based on Java, OpenCL and the Apache Spark framework. The motivation behind this work is to bring unconventional compute cores such as FPGAs/GPUs/APUs/DSPs and future core types into
Externí odkaz:
http://arxiv.org/abs/1505.01120
Publikováno v:
2015 IEEE High Performance Extreme Computing Conference (HPEC); 2015, p1-6, 6p
Publikováno v:
2014 IEEE 57th International Midwest Symposium on Circuits & Systems (MWSCAS); 2014, p889-892, 4p
Publikováno v:
2014 IEEE High Performance Extreme Computing Conference (HPEC); 2014, p1-3, 3p
Publikováno v:
2014 24th International Conference on Field Programmable Logic & Applications (FPL); 2014, p1-2, 2p