Search Results - "Ganesan, Narayan"

Refine Results
  1. 1

    Backward Deep BSDE Methods and Applications to Nonlinear Problems by Yu, Yajie, Ganesan, Narayan, Hientzsch, Bernhard

    Published in Risks (Basel) (01-03-2023)
    “…We present a pathwise deep Backward Stochastic Differential Equation (BSDE) method for Forward Backward Stochastic Differential Equations with terminal…”
    Get full text
    Journal Article
  2. 2
  3. 3

    CUDAMPF: a multi-tiered parallel framework for accelerating protein sequence search in HMMER on CUDA-enabled GPU by Jiang, Hanyu, Ganesan, Narayan

    Published in BMC bioinformatics (27-02-2016)
    “…HMMER software suite is widely used for analysis of homologous protein and nucleotide sequences with high sensitivity. The latest version of hmmsearch in HMMER…”
    Get full text
    Journal Article
  4. 4
  5. 5

    Computational Approaches to Spatial Orientation: From Transfer Functions to Dynamic Bayesian Inference by MacNeilage, Paul R, Ganesan, Narayan, Angelaki, Dora E

    Published in Journal of neurophysiology (01-12-2008)
    “…Dept. of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, Missouri Submitted 13 June 2008; accepted in final form 2 October 2008…”
    Get full text
    Journal Article
  6. 6

    CUDAMPF++: A Proactive Resource Exhaustion Scheme for Accelerating Homologous Sequence Search on CUDA-Enabled GPU by Jiang, Hanyu, Ganesan, Narayan, Yao, Yu-Dong

    “…Biological sequence alignment is an important research topic in bioinformatics and continues to attract significant efforts. As biological data grow…”
    Get full text
    Journal Article
  7. 7

    GPU-Enabled Macromolecular Simulation: Challenges and Opportunities by Taufer, Michela, Ganesan, Narayan, Patel, Sandeep

    Published in Computing in science & engineering (01-01-2013)
    “…GPU-enabled simulation of fully atomistic macromolecular systems is rapidly gaining momentum, enabled by massive parallelism and the parallelizability of…”
    Get full text
    Journal Article
  8. 8

    Decoherence control in open quantum systems via classical feedback by Ganesan, Narayan, Tarn, Tzyh-Jong

    “…In this work we propose a strategy using techniques from systems theory to completely eliminate decoherence and also provide conditions under which it can be…”
    Get full text
    Journal Article
  9. 9

    Process Simulation of Complex Biological Pathways in Physical Reactive Space and Reformulated for Massively Parallel Computing Platforms by Ganesan, Narayan, Jie Li, Sharma, Vishakha, Hanyu Jiang, Compagnoni, Adriana

    “…Biological systems encompass complexity that far surpasses many artificial systems. Modeling and simulation of large and complex biochemical pathways is a…”
    Get full text
    Journal Article
  10. 10

    Structural, dynamic, and electrostatic properties of fully hydrated DMPC bilayers from molecular dynamics simulations accelerated with graphical processing units (GPUs) by Ganesan, Narayan, Bauer, Brad A., Lucas, Timothy R., Patel, Sandeep, Taufer, Michela

    Published in Journal of computational chemistry (15-11-2011)
    “…We present results of molecular dynamics simulations of fully hydrated DMPC bilayers performed on graphics processing units (GPUs) using current…”
    Get full text
    Journal Article
  11. 11

    Pricing Barrier Options with DeepBSDEs by Ganesan, Narayan, Yu, Yajie, Hientzsch, Bernhard

    Published 11-09-2024
    “…Journal of Computational Finance, 25(4):1-25 (2022) This paper presents a novel and direct approach to price boundary and final-value problems, corresponding…”
    Get full text
    Journal Article
  12. 12

    Estimating Future VaR from Value Samples and Applications to Future Initial Margin by Ganesan, Narayan, Hientzsch, Bernhard

    Published 23-04-2021
    “…Predicting future values at risk (fVaR) is an important problem in finance. They arise in the modelling of future initial margin requirements for counterparty…”
    Get full text
    Journal Article
  13. 13

    Calibrating Local Volatility Models with Stochastic Drift and Diffusion by Ogetbil, Orcan, Ganesan, Narayan, Hientzsch, Bernhard

    Published 08-05-2023
    “…International Journal of Theoretical and Applied Finance, 25(02):2250011, 2022 We propose Monte Carlo calibration algorithms for three models: local volatility…”
    Get full text
    Journal Article
  14. 14

    Backward Deep BSDE Methods and Applications to Nonlinear Problems by Yu, Yajie, Hientzsch, Bernhard, Ganesan, Narayan

    Published 13-06-2020
    “…In this paper, we present a backward deep BSDE method applied to Forward Backward Stochastic Differential Equations (FBSDE) with given terminal condition at…”
    Get full text
    Journal Article
  15. 15

    Synthesis of optimal control of complex biological pathways enabled by global sensitivity analysis by Salighehdar, Amin, Ganesan, Narayan

    “…The past few years have witnessed growth in the number of system biological models corresponding to several different pathways and have shed light on…”
    Get full text
    Journal Article
  16. 16

    Feedback Control of Decoherence: Systems Theoretical Approach by Ganesan, Narayan, Tarn, Tzyh-jong

    Published in 2006 Chinese Control Conference (01-08-2006)
    “…This paper outlines the recent work on control of Decoherence in Open Quantum systems using systems and control techniques and the corresponding theoretical…”
    Get full text
    Conference Proceeding
  17. 17

    Control of decoherence in open quantum systems using feedback by Ganesan, Narayan

    Published 01-01-2006
    “…Decoherence, which is caused due to the interaction of a quantum system with its environment plagues all quantum systems and leads to the loss of quantum…”
    Get full text
    Dissertation
  18. 18

    Control of decoherence in open quantum systems using feedback by Ganesan, Narayan

    “…Decoherence, which is caused due to the interaction of a quantum system with its environment plagues all quantum systems and leads to the loss of quantum…”
    Get full text
    Dissertation
  19. 19

    Fine-Grained Acceleration of HMMER 3.0 via Architecture-Aware Optimization on Massively Parallel Processors by Hanyu Jiang, Ganesan, Narayan

    “…HMMER search used for protein Motif finding which is a probabilistic method based on profile hidden Markov models, is one of popular tools for protein homology…”
    Get full text
    Conference Proceeding
  20. 20

    CUDAMPF++: A Proactive Resource Exhaustion Scheme for Accelerating Homologous Sequence Search on CUDA-enabled GPU by Jiang, Hanyu, Ganesan, Narayan, Yao, Yu-Dong

    Published 30-07-2017
    “…IEEE.Trans.Parallel.Distibuted.Sys. (2018) Genomic sequence alignment is an important research topic in bioinformatics and continues to attract significant…”
    Get full text
    Journal Article