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10/12/2022
Can Calibration Improve Sample Prioritization?
Calibration can reduce overconfident predictions of deep neural networks...
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02/16/2022
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
Recent years have seen the adoption of Machine Learning (ML) techniques ...
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05/15/2021
An Effective Baseline for Robustness to Distributional Shift
Refraining from confidently predicting when faced with categories of inp...
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04/11/2021
PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling
We present PPT-Multicore, an analytical model embedded in the Performanc...
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03/19/2021
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace
Performance modeling of parallel applications on multicore processors re...
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10/08/2020
Machine Learning Enabled Scalable Performance Prediction of Scientific Codes
We present the Analytical Memory Model with Pipelines (AMMP) of the Perf...
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10/03/2020
Decoy Selection for Protein Structure Prediction Via Extreme Gradient Boosting and Ranking
Identifying one or more biologically-active/native decoys from millions ...
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09/10/2020
Why I'm not Answering
Safe deployment of deep learning systems in critical real world applicat...
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08/04/2020
Distributed Non-Negative Tensor Train Decomposition
The era of exascale computing opens new venues for innovations and disco...
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02/18/2020
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs
GPUs are prevalent in modern computing systems at all scales. They consu...
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07/29/2019
Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance
Performance modeling of parallel applications on multicore computers rem...
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05/27/2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Mixup zhang2017mixup is a recently proposed method for training deep neu...
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05/27/2019
Combating Label Noise in Deep Learning Using Abstention
We introduce a novel method to combat label noise when training deep neu...
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05/21/2019
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs
The last decade has seen a shift in the computer systems industry where ...
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05/21/2019
Instructions' Latencies Characterization for NVIDIA GPGPUs
The last decade has seen a shift in the computer systems industry where ...
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09/09/2014
