161 citations · 217 across the 9 of their papers we have counts for
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cs.LG2022★ 1 cited
Accuracy Booster: Enabling 4-bit Fixed-point Arithmetic for DNN Training
Simla Burcu Harma, Ayan Chakraborty, Nicholas Sperry +3
The unprecedented demand for computing resources to train DNN models has led to a search for minimal numerical encoding. Recent state-of-the-art (SOTA) proposals advocate for multi…
cs.LG2018★ 26 cited
Training DNNs with Hybrid Block Floating Point
Mario Drumond, Tao Lin, Martin Jaggi +1
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing datacenter operators to adopt domain-specific accelerators to train them. These accelerator…