Arun K. Subramaniyan

发表

A Hybrid Bayesian Solution to NASA Uncertainty Quantification Challenge

Ankur Srivastava, Arun K. Subramaniyan, Ankur Srivastava, 2014 .

Probabilistic Tool Validation Framework to Validate Complex Simulations With Sparse Data

Liping Wang, Arun K. Subramaniyan, Natarajan Chennimalai Kumar, 2014 .

Challenges in Uncertainty, Calibration, Validation and Predictability of Engineering Analysis Models

Liping Wang, John Nelson, Gene Wiggs, 2011 .

Analytical global sensitivity analysis with Gaussian processes

Ankur Srivastava, Liping Wang, Arun K. Subramaniyan, 2017, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Hybrid Bayesian Solution to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge

Ankur Srivastava, Liping Wang, Arun K. Subramaniyan, 2015, J. Aerosp. Inf. Syst..

Probabilistic Validation Metrics for Industrial Engineering Analysis Models

Liping Wang, Gulshan Singh, Arun K. Subramaniyan, 2012 .

Calibrating Transient Models With Multiple Responses Using Bayesian Inverse Techniques

Liping Wang, Gene Wiggs, Arun K. Subramaniyan, 2013 .

Quantifying uncertainty of a reacting multiphase flow in a bench-scale fluidized bed gasifier: A Bayesian approach

Aytekin Gel, Mehrdad Shahnam, Arun K. Subramaniyan, 2017 .

Improving High-Dimensional Physics Models Through Bayesian Calibration With Uncertain Data

Liping Wang, Arun K. Subramaniyan, Natarajan Chennimalai Kumar, 2012 .

A Comparative Study on Accuracy and Efficiency of Metamodels for Large Industrial Datasets

Liping Wang, John Nelson, Don Beeson, 2011 .

Fatigue Crack Growth Life Assessment for Industrial Applications using Re-meshing and Bayesian Hybrid Techniques

Felipe A. C. Viana, Balajee Ananthasayanam, Arun K. Subramaniyan, 2016 .

Probabilistic Optimization of Two-Phase Flow Using Bayesian Models

Arun K. Subramaniyan, Kenji Miki, Madhusudan Pai, 2014 .

Efficient Probabilistic Analysis and Design Optimization Using Data Classification Decision Boundaries

Liping Wang, Don Beeson, Arun K. Subramaniyan, 2010 .

Probabilistic Validation of Complex Engineering Simulations With Sparse Data

Liping Wang, Arun K. Subramaniyan, Natarajan Chennimalai Kumar, 2014 .

An efficient framework for rapid life assessment in industrial applications: Fatigue crack growth

Balajee Ananthasayanam, Arun K. Subramaniyan, Adrian Loghin, 2017 .

Validation of a peridynamic model for fatigue cracking

Arun K. Subramaniyan, F. Bobaru, Guanfeng Zhang, 2016 .

Continuum interpretation of virial stress in molecular simulations

Arun K. Subramaniyan, C. Sun, 2008 .

Nonintrusive Uncertainty Quantification of Computational Fluid Dynamics Simulations of a Bench-Scale Fluidized-Bed Gasifier

Aytekin Gel, Jordan Musser, Mehrdad Shahnam, 2016 .

Toughening polymeric composites using nanoclay: Crack tip scale effects on fracture toughness

Arun K. Subramaniyan, C. Sun, 2007 .

Interlaminar Fracture Behavior of Nanoclay Reinforced Glass Fiber Composites

Arun K. Subramaniyan, C. Sun, C. Sun, 2008 .

Multimodal Particle Swarm Optimization: Enhancements and Applications

Genghis Khan, Gene Wiggs, Gulshan Singh, 2012 .

Variance Based Global Sensitivity Analysis for Uncorrelated and Correlated Inputs With Gaussian Processes

Liping Wang, Arun K. Subramaniyan, Ankur Srivastava, 2015 .

The Effect of Grid Resolution and Reaction Models in Simulation of a Fluidized Bed Gasifier Through Nonintrusive Uncertainty Quantification Techniques

Aytekin Gel, Jordan Musser, Mehrdad Shahnam, 2016 .

Engineering molecular mechanics: an efficient static high temperature molecular simulation technique

Arun K. Subramaniyan, C. Sun, 2008, Nanotechnology.

A Reduced Order Modeling Methodology for Steam Turbine Clearance Control Design

Emrah Biyik, Fernando Javier D'Amato, Arun K. Subramaniyan, 2017 .

Nanoscale design of Ni–Al shape memory alloys

Arun K. Subramaniyan, C. Sun, 2009, Nanotechnology.

Uncertainty Quantification Analysis of Both Experimental and CFD Simulation Data of a Bench-scale Fluidized Bed Gasifier

Arun K. Subramaniyan, M. Shahnam, J. Dietiker, 2017 .

Enhancing compressive strength of unidirectional polymeric composites using nanoclay

Arun K. Subramaniyan, C. Sun, 2006 .

A Survey of Bayesian Calibration and Physics-informed Neural Networks in Scientific Modeling

Arun K. Subramaniyan, F. Viana, 2021, Archives of Computational Methods in Engineering.

In-/Near-Memory Computing

Reetuparna Das, Daichi Fujiki, Arun K. Subramaniyan, 2021, Synthesis Lectures on Computer Architecture.

An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates

Mark J. P. Chaisson, Arun K. Subramaniyan, Justin N. Vaughn, 2021, F1000Research.

An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates.

Eric T. Dawson, Daniel L. Cameron, Zev N. Kronenberg, 2021, F1000Research.

Fuzzy set intersection based paired-end short-read alignment

Arun K. Subramaniyan, W. Bolosky, M. Zaharia, 2021, bioRxiv.

GenomicsBench: A Benchmark Suite for Genomics

David Blaauw, Reetuparna Das, Satish Narayanasamy, 2021, 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).

Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks

David Blaauw, Reetuparna Das, Xiaowei Wang, 2018, 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA).

14.2 A Compute SRAM with Bit-Serial Integer/Floating-Point Operations for Programmable In-Memory Vector Acceleration

David Blaauw, Reetuparna Das, Xiaowei Wang, 2019, 2019 IEEE International Solid- State Circuits Conference - (ISSCC).

GenAx: A Genome Sequencing Accelerator

David Blaauw, Reetuparna Das, Satish Narayanasamy, 2018, 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA).

ASPEN: A Scalable In-SRAM Architecture for Pushdown Automata

Reetuparna Das, Kevin Skadron, Arun Subramaniyan, 2018, 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).

A Methodology for Updating Prognostic Models via Kalman Filters

Arun K. Subramaniyan, V. Rajagopalan, 2020 .

Compute Caches

David Blaauw, Reetuparna Das, Satish Narayanasamy, 2017, 2017 IEEE International Symposium on High Performance Computer Architecture (HPCA).

A High-Throughput Pruning-Based Pair-Hidden-Markov-Model Hardware Accelerator for Next-Generation DNA Sequencing

David Blaauw, Reetuparna Das, Satish Narayanasamy, 2021, IEEE Solid-State Circuits Letters.

A 28-nm Compute SRAM With Bit-Serial Logic/Arithmetic Operations for Programmable In-Memory Vector Computing

David Blaauw, Reetuparna Das, Dennis Sylvester, 2020, IEEE Journal of Solid-State Circuits.

A 2.46M reads/s Genome Sequencing Accelerator using a 625 Processing-Element Array

David Blaauw, Reetuparna Das, Satish Narayanasamy, 2020, 2020 IEEE Custom Integrated Circuits Conference (CICC).

Accelerated Seeding for Genome Sequence Alignment with Enumerated Radix Trees

David Blaauw, Reetuparna Das, Satish Narayanasamy, 2021, 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA).

Parallel automata processor

Reetuparna Das, Arun Subramaniyan, Arun K. Subramaniyan, 2017, 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA).

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis

Arun K. Subramaniyan, R. Das, D. Blaauw, 2023, ISCA.

Reduced order modeling for clearance control in turbomachinery

Emrah Biyik, Fernando J. D'Amato, Arun Subramaniyan, 2016, 2016 IEEE Conference on Control Applications (CCA).

17.3 GCUPS Pruning-Based Pair-Hidden-Markov-Model Accelerator for Next-Generation DNA Sequencing

David Blaauw, Satish Narayanasamy, Xiao Wu, 2020, 2020 IEEE Symposium on VLSI Circuits.

Temperature Dependent Effective Embedded Atom Method Potential for Steady State High Temperature Applications

Arun K. Subramaniyan, C. Sun, 2010 .

Soft error-aware architectural exploration for designing reliability adaptive cache hierarchies in multi-cores

Muhammad Shafique, Jörg Henkel, Semeen Rehman, 2017, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017.

Reliability-Aware Adaptations for Shared Last-Level Caches in Multi-Cores

Muhammad Shafique, Jörg Henkel, Semeen Rehman, 2016, ACM Trans. Embed. Comput. Syst..

R2Cache: Reliability-aware reconfigurable last-level cache architecture for multi-cores

Muhammad Shafique, Jörg Henkel, Semeen Rehman, 2015, 2015 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).