2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2021★ 1 cited
DPUV3INT8: A Compiler View to programmable FPGA Inference Engines
Paolo D'Alberto, Jiangsha Ma, Jintao Li +3
We have a FPGA design, we make it fast, efficient, and tested for a few important examples. Now we must infer a general solution to deploy in the data center. Here, we describe the…
cs.LG2018
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines
Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto +6
Deep learning as a means to inferencing has proliferated thanks to its versatility and ability to approach or exceed human-level accuracy. These computational models have seemingly…
stat.CO2011★ 2 cited
On the Weakenesses of Correlation Measures used for Search Engines' Results (Unsupervised Comparison of Search Engine Rankings)
Paolo D'Alberto, Ali Dasdan
The correlation of the result lists provided by search engines is fundamental and it has deep and multidisciplinary ramifications. Here, we present automatic and unsupervised metho…