On the effect of parity-check weights in iterative decoding. - Nandakishore Santhi; Alexander Vardy (ISIT, 2004)

Minimum Distance of Codes and Their Branching Program Complexity. - Nandakishore Santhi; Alexander Vardy (ISIT, 2006)

Analog Codes on Graphs - Nandakishore Santhi; Alexander Vardy (CoRR, 2006)

On an Improvement over Rényi's Equivocation Bound - Nandakishore Santhi; Alexander Vardy (CoRR, 2006)

Graphical models for coding and computation. - Nandakishore Santhi (2006)

On Algebraic Decoding of q-ary Reed-Muller and Product Reed-Solomon Codes. - Nandakishore Santhi (ISIT, 2007)

Sparse representations for codes and the hardness of decoding LDPC codes. - Nandakishore Santhi (ISIT, 2008)

CyberSim: Geographic, temporal, and organizational dynamics of malware propagation. - Nandakishore Santhi; Guanhua Yan; Stephan J. Eidenbenz (WSC, 2010)

Understanding Cascading Failures in Power Grids - Sachin Kadloor; Nandakishore Santhi (CoRR, 2010)

Detecting and Mitigating Abnormal Events in Large Scale Networks: Budget Constrained Placement on Smart Grids. - Nandakishore Santhi; Feng Pan (HICSS, 2011)

Optimization principles for arithmetic functions in hardware-software co-design. - Vladimir Delengov; Yuan Li; Jennifer Thompson; Lukas Kroc; Nandakishore Santhi; Stephan J. Eidenbenz (WSC, 2012)

Simian integrated framework for parallel discrete event simulation on GPUs. - Guillaume Chapuis; Stephan J. Eidenbenz; Nandakishore Santhi; Eunjung Park (WSC, 2015)

Parameterized benchmarking of parallel discrete event simulation systems: communication, computation, and memory. - Eunjung Park; Stephan J. Eidenbenz; Nandakishore Santhi; Guillaume Chapuis; Bradley W. Settlemyer (WSC, 2015)

The simian concept: parallel discrete event simulation with interpreted languages and just-in-time compilation. - Nandakishore Santhi; Stephan J. Eidenbenz; Jason Liu 001 (WSC, 2015)

An Integrated Interconnection Network Model for Large-Scale Performance Prediction. - Kishwar Ahmed; Mohammad Obaida; Jason Liu 001; Stephan J. Eidenbenz; Nandakishore Santhi; Guillaume Chapuis (SIGSIM-PADS, 2016)

Discrete event performance prediction of speculatively parallel temperature-accelerated dynamics. - Richard J. Zamora; Arthur F. Voter; Danny Perez; Nandakishore Santhi; Susan M. Mniszewski; Sunil Thulasidasan; Stephan J. Eidenbenz (Simul., 2016)

GPU Performance Prediction Through Parallel Discrete Event Simulation and Common Sense. - Guillaume Chapuis; Stephan J. Eidenbenz; Nandakishore Santhi (EAI Endorsed Trans. Ubiquitous Environ., 2016)

AMM: Scalable Memory Reuse Model to Predict the Performance of Physics Codes. - Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz; Sunil Thulasidasan (CLUSTER, 2017)

A Probabilistic Monte Carlo Framework for Branch Prediction. - Bhargava Kalla; Nandakishore Santhi; Abdel-Hameed A. Badawy; Gopinath Chennupati; Stephan J. Eidenbenz (CLUSTER, 2017)

Probabilistic Monte Carlo simulations for static branch prediction. - Bhargava Kalla; Nandakishore Santhi; Abdel-Hameed A. Badawy; Gopinath Chennupati; Stephan J. Eidenbenz (IPCCC, 2017)

A Scalable Analytical Memory Model for CPU Performance Prediction. - Gopinath Chennupati; Nandakishore Santhi; Robert F. Bird; Sunil Thulasidasan; Abdel-Hameed A. Badawy; Satyajayant Misra; Stephan J. Eidenbenz (PMBS@SC, 2017)

An analytical memory hierarchy model for performance prediction. - Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz; Sunil Thulasidasan (WSC, 2017)

Accelerator Codesign as Non-Linear Optimization. - Nirmal Prajapati; Sanjay V. Rajopadhye; Hristo N. Djidjev; Nandakishore Santhi; Tobias Grosser; Rumen Andonov (CoRR, 2017)

Synthesis of Parallel Programs on Multi-Cores. - Gopinath Chennupati; R. Muhammad Atif Azad; Conor Ryan; Stephan J. Eidenbenz; Nandakishore Santhi (Handbook of Grammatical Evolution, 2018)

PPT-GPU: performance prediction toolkit for GPUs identifying the impact of caches: extended abstract. - Yehia Arafa; Abdel-Hameed A. Badawy; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz (MEMSYS, 2018)

Parallel Application Performance Prediction Using Analysis Based Models and HPC Simulations. - Mohammad Abu Obaida; Jason Liu 001; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz (SIGSIM-PADS, 2018)

Just-in-Time Parallel simulation. - Christopher Hannon; Dong Jin; Nandakishore Santhi; Stephan J. Eidenbenz; Jason Liu 001 (WSC, 2018)

Quantum Algorithm Implementations for Beginners. - Patrick J. Coles; Stephan J. Eidenbenz; Scott Pakin; Adetokunbo Adedoyin; John Ambrosiano; Petr M. Anisimov; William Casper; Gopinath Chennupati; Carleton Coffrin; Hristo N. Djidjev; David Gunter; Satish Karra; et al. (CoRR, 2018)

POSTER: GPUs Pipeline Latency Analysis. - Yehia Arafa; Abdel-Hameed A. Badawy; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz (ASAP, 2019)

Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs. - Yehia Arafa; Abdel-Hameed A. Badawy; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz (HPEC, 2019)

GPUs Cache Performance Estimation using Reuse Distance Analysis. - Yehia Arafa; Gopinath Chennupati; Atanu Barai; Abdel-Hameed A. Badawy; Nandakishore Santhi; Stephan J. Eidenbenz (IPCCC, 2019)

Scalable Performance Prediction of Codes with Memory Hierarchy and Pipelines. - Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz (SIGSIM-PADS, 2019)

PPT-GPU: Scalable GPU Performance Modeling. - Yehia Arafa; Abdel-Hameed A. Badawy; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz (IEEE Comput. Archit. Lett., 2019)

Instructions' Latencies Characterization for NVIDIA GPGPUs. - Yehia Arafa; Abdel-Hameed A. Badawy; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz (CoRR, 2019)

Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance. - Atanu Barai; Gopinath Chennupati; Nandakishore Santhi; Abdel-Hameed A. Badawy; Stephan J. Eidenbenz (CoRR, 2019)

Verified instruction-level energy consumption measurement for NVIDIA GPUs. - Yehia Arafa; Ammar ElWazir; Abdelrahman Elkanishy; Youssef Aly; Ayatelrahman Elsayed; Abdel-Hameed A. Badawy; Gopinath Chennupati; Stephan J. Eidenbenz; Nandakishore Santhi (CF, 2020)

Fast, accurate, and scalable memory modeling of GPGPUs using reuse profiles. - Yehia Arafa; Abdel-Hameed A. Badawy; Gopinath Chennupati; Atanu Barai; Nandakishore Santhi; Stephan J. Eidenbenz (ICS, 2020)

NVIDIA GPGPUs Instructions Energy Consumption. - Yehia Arafa; Ammar ElWazir; Abdelrahman Elkanishy; Youssef Aly; Ayatelrahman Elsayed; Abdel-Hameed A. Badawy; Gopinath Chennupati; Stephan J. Eidenbenz; Nandakishore Santhi (ISPASS, 2020)

PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace. - Atanu Barai; Gopinath Chennupati; Nandakishore Santhi; Abdel-Hameed A. Badawy; Yehia Arafa; Stephan J. Eidenbenz (MEMSYS, 2020)

Code Characterization With Graph Convolutions and Capsule Networks. - Poornima Haridas; Gopinath Chennupati; Nandakishore Santhi; Phillip Romero; Stephan J. Eidenbenz (IEEE Access, 2020)

Optimization Approach to Accelerator Codesign. - Nirmal Prajapati; Sanjay V. Rajopadhye; Hristo N. Djidjev; Nandakishore Santhi; Tobias Grosser; Rumen Andonov (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Load-Aware Dynamic Time Synchronization in Parallel Discrete Event Simulation. - Ali Eker; Yehia Arafa; Abdel-Hameed A. Badawy; Nandakishore Santhi; Stephan J. Eidenbenz; Dmitry Ponomarev 001 (SIGSIM-PADS, 2021)

Hybrid, scalable, trace-driven performance modeling of GPGPUs. - Yehia Arafa; Abdel-Hameed A. Badawy; Ammar ElWazir; Atanu Barai; Ali Eker; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz (SC, 2021)

Machine Learning-enabled Scalable Performance Prediction of Scientific Codes. - Gopinath Chennupati; Nandakishore Santhi; Phillip Romero; Stephan J. Eidenbenz (ACM Trans. Model. Comput. Simul., 2021)

Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis. - Hamdy Abdelkhalik; Yehia Arafa; Nandakishore Santhi; Abdel-Hameed A. Badawy (HPEC, 2022)

Quantum Netlist Compiler (QNC). - Shamminuj Aktar; Abdel-Hameed A. Badawy; Nandakishore Santhi (HPEC, 2022)

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. - Shamminuj Aktar; Hamdy Abdelkhalik; Nazmul Haque Turja; Yehia Arafa; Atanu Barai; Nishant Panda; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz; Abdel-Hameed A. Badawy (CoRR, 2022)

PPT-Multicore: performance prediction of OpenMP applications using reuse profiles and analytical modeling. - Atanu Barai; Yehia Arafa; Abdel-Hameed A. Badawy; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz (J. Supercomput., 2022)

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. - Hamdy Abdelkhalik; Shamminuj Aktar; Yehia Arafa; Atanu Barai; Gopinath Chennupati; Nandakishore Santhi; Nishant Panda; Nirmal Prajapati; Nazmul Haque Turja; Stephan J. Eidenbenz; Abdel-Hameed A. Badawy (ICPADS, 2023)

Modeling and Characterizing Shared and Local Memories of the Ampere GPUs. - Hamdy Abdelkhalik; Yehia Arafa; Nandakishore Santhi; Nirmal Prajapati; Abdel-Hameed A. Badawy (MEMSYS, 2023)

LLVM Static Analysis for Program Characterization and Memory Reuse Profile Estimation. - Atanu Barai; Nandakishore Santhi; Abdur Razzak; Stephan J. Eidenbenz; Abdel-Hameed A. Badawy (MEMSYS, 2023)

BB-CVXOPT: Basic Block Execution Count Estimation and Extrapolation Using Constrained Convex Optimization. - Youssef Aly; Atanu Barai; Nandakishore Santhi; Abdel-Hameed A. Badawy (HPEC, 2024)

Comparison of Vectorization Capabilities of Different Compilers for X86 and ARM CPUs. - Nazmus Sakib; Tarun Prabhu; Nandakishore Santhi; John Shalf; Abdel-Hameed A. Badawy (HPEC, 2024)

Static Reuse Profile Estimation for Array Applications. - Abdur Razzak; Atanu Barai; Nandakishore Santhi; Abdel-Hameed A. Badawy (MEMSYS, 2024)

Generative Discrete Event Process Simulation for Hidden Markov Models to Predict Competitor Time-to-Market. - Nandakishore Santhi; Stephan J. Eidenbenz; Brian Key; George Tompkins (SIGSIM-PADS, 2025)

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations. - Atanu Barai; Stephan J. Eidenbenz; Nandakishore Santhi (CoRR, 2025)