5 citations · 9 across the 5 of their papers we have counts for
5 papers
FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference
Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen
In many machine learning applications, e.g., tree-based ensembles, floating point numbers are extensively utilized due to their expressiveness. Nowadays performing data analysis on…
Renovation of EdgeCloudSim: An Efficient Discrete-Event Approach
Raphael Freymann, Junjie Shi, Jian-Jia Chen +1
Due to the growing popularity of the Internet of Things, edge computing concept has been widely studied to relieve the load on the original cloud and networks while improving the s…
Bit Error Tolerance Metrics for Binarized Neural Networks
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen +5
To reduce the resource demand of neural network (NN) inference systems, it has been proposed to use approximate memory, in which the supply voltage and the timing parameters are tu…
SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory
Christian Hakert, Kuan-Hsun Chen, Paul R. Genssler +5
Several emerging technologies for byte-addressable non-volatile memory (NVM) have been considered to replace DRAM as the main memory in computer systems during the last years. The…
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen +6
Non-volatile memory, such as resistive RAM (RRAM), is an emerging energy-efficient storage, especially for low-power machine learning models on the edge. It is reported, however, t…