Gopinath Chennupati

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Federated Self-Learning with Weak Supervision for Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

PPT-Multicore: performance prediction of OpenMP applications using reuse profiles and analytical modeling.

[BibT_eX]

[DOI]

J. Supercomput., 2022

Improved Protein Decoy Selection via Non-Negative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Can Calibration Improve Sample Prioritization?

[BibT_eX]

[DOI]

Ganesh Tata

Gautham Krishna Gudur

Mohammad Emtiyaz Khan

CoRR, 2022

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques.

[BibT_eX]

[DOI]

CoRR, 2022

ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale.

[BibT_eX]

[DOI]

Prahalad Venkataramanan

Zheng Wu

Pankaj Sitpure

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Machine Learning-enabled Scalable Performance Prediction of Scientific Codes.

[BibT_eX]

[DOI]

ACM Trans. Model. Comput. Simul., 2021

Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Access, 2021

Hybrid, scalable, trace-driven performance modeling of GPGPUs.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

An Effective Baseline for Robustness to Distributional Shift.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Distributed non-negative matrix factorization with determination of the number of latent features.

[BibT_eX]

[DOI]

J. Supercomput., 2020

Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports.

[BibT_eX]

[DOI]

Nicolas W. Hengartner

Noah Schaefferkoetter

CoRR, 2020

Decoy selection for protein structure prediction via extreme gradient boosting and ranking.

[BibT_eX]

[DOI]

BMC Bioinform., 2020

Code Characterization With Graph Convolutions and Capsule Networks.

[BibT_eX]

[DOI]

IEEE Access, 2020

An Out of Memory tSVD for Big-Data Factorization.

[BibT_eX]

[DOI]

Hector Carrillo-Cabada

IEEE Access, 2020

PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace.

[BibT_eX]

[DOI]

Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

NVIDIA GPGPUs Instructions Energy Consumption.

[BibT_eX]

[DOI]

Ammar ElWazir

Abdelrahman Elkanishy

Youssef Aly

Ayatelrahman Elsayed

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

Fast, accurate, and scalable memory modeling of GPGPUs using reuse profiles.

[BibT_eX]

[DOI]

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Distributed Non-Negative Tensor Train Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Verified instruction-level energy consumption measurement for NVIDIA GPUs.

[BibT_eX]

[DOI]

Ammar ElWazir

Abdelrahman Elkanishy

Youssef Aly

Ayatelrahman Elsayed

Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

Decoy Selection in Protein Structure Determination via Symmetric Non-negative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance.

[BibT_eX]

[DOI]

CoRR, 2019

Instructions' Latencies Characterization for NVIDIA GPGPUs.

[BibT_eX]

[DOI]

CoRR, 2019

PPT-GPU: Scalable GPU Performance Modeling.

[BibT_eX]

[DOI]

IEEE Comput. Archit. Lett., 2019

Scalable Performance Prediction of Codes with Memory Hierarchy and Pipelines.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2019

On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

GPUs Cache Performance Estimation using Reuse Distance Analysis.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Combating Label Noise in Deep Learning using Abstention.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

POSTER: GPUs Pipeline Latency Analysis.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018

Quantum Algorithm Implementations for Beginners.

[BibT_eX]

[DOI]

CoRR, 2018

Imcsim: Parameterized Performance Prediction for Implicit Monte Carlo codes.

[BibT_eX]

[DOI]

Proceedings of the 2018 Winter Simulation Conference, 2018

Parallel Application Performance Prediction Using Analysis Based Models and HPC Simulations.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2018

PPT-GPU: performance prediction toolkit for GPUs identifying the impact of caches: extended abstract.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Memory Systems, 2018

Improved Decoy Selection via Machine Learning and Ranking.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2018

Synthesis of Parallel Programs on Multi-Cores.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Grammatical Evolution, 2018

2017

An analytical memory hierarchy model for performance prediction.

[BibT_eX]

[DOI]

Proceedings of the 2017 Winter Simulation Conference, 2017

A Scalable Analytical Memory Model for CPU Performance Prediction.

[BibT_eX]

[DOI]

Satyajayant Misra

Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2017

Probabilistic Monte Carlo simulations for static branch prediction.

[BibT_eX]

[DOI]

Bhargava Kalla

Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

A Probabilistic Monte Carlo Framework for Branch Prediction.

[BibT_eX]

[DOI]

Bhargava Kalla

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

AMM: Scalable Memory Reuse Model to Predict the Performance of Physics Codes.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Automatic lock-free parallel programming on multi-core processors.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Automatic Evolution of Parallel Sorting Programs on Multi-cores.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Automatic Evolution of Parallel Recursive Programs.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 18th European Conference, 2015

2014

eAnt-Miner : An Ensemble Ant-Miner to Improve the ACO Classification.

[BibT_eX]

[DOI]

CoRR, 2014

On the efficiency of Multi-core Grammatical Evolution (MCGE) evolving multi-core parallel programs.

[BibT_eX]

[DOI]

Jeannie Fitzgerald

Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Predict the success or failure of an evolutionary algorithm run.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Predict the performance of GE with an ACO based machine learning algorithm.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Multi-core GE: automatic evolution of CPU based multi-core parallel programs.

[BibT_eX]

[DOI]