136 citations · 293 across the 18 of their papers we have counts for
4 papers · 1 filter
Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance
Atanu Barai, Gopinath Chennupati, Nandakishore Santhi +2
Performance modeling of parallel applications on multicore computers remains a challenge in computational co-design due to the complex design of multicore processors including priv…
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan, Gopinath Chennupati, Jeff Bilmes +2
Mixup~\cite{zhang2017mixup} is a recently proposed method for training deep neural networks where additional samples are generated during training by convexly combining random pair…
Combating Label Noise in Deep Learning Using Abstention
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff Bilmes +2
We introduce a novel method to combat label noise when training deep neural networks for classification. We propose a loss function that permits abstention during training thereby…
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs
Yehia Arafa, Abdel-Hameed Badawy, Gopinath Chennupati +2
The last decade has seen a shift in the computer systems industry where heterogeneous computing has become prevalent. Graphics Processing Units (GPUs) are now present in supercompu…