Nandakishore Santhi

ORCID

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 42

Top Venues

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Atanu Barai, Nandakishore Santhi, Abdur Razzak, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
LLVM Static Analysis for Program Characterization and Memory Reuse Profile Estimation. MEMSYS (2023)
Atanu Barai, Nandakishore Santhi, Abdur Razzak, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
LLVM Static Analysis for Program Characterization and Memory Reuse Profile Estimation. CoRR (2023)
Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi, Nirmal Prajapati, Abdel-Hameed A. Badawy
Modeling and Characterizing Shared and Local Memories of the Ampere GPUs. MEMSYS (2023)
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
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. ICPADS (2023)
Shamminuj Aktar, Abdel-Hameed A. Badawy, Nandakishore Santhi
Quantum Netlist Compiler (QNC). HPEC (2022)
Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi, Abdel-Hameed A. Badawy
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis. CoRR (2022)
Shamminuj Aktar, Hamdy Abdelkhalik, Nazmul Haque Turja, Yehia Arafa, Atanu Barai, Nishant Panda, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. CoRR (2022)
Atanu Barai, Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
PPT-Multicore: performance prediction of OpenMP applications using reuse profiles and analytical modeling. J. Supercomput. 78 (2) (2022)
Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi, Abdel-Hameed A. Badawy
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis. HPEC (2022)
Ali Eker, Yehia Arafa, Abdel-Hameed A. Badawy, Nandakishore Santhi, Stephan J. Eidenbenz, Dmitry V. Ponomarev
Load-Aware Dynamic Time Synchronization in Parallel Discrete Event Simulation. SIGSIM-PADS (2021)
Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz
Machine Learning-enabled Scalable Performance Prediction of Scientific Codes. ACM Trans. Model. Comput. Simul. 31 (2) (2021)
Yehia Arafa, Abdel-Hameed A. Badawy, Ammar ElWazir, Atanu Barai, Ali Eker, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Hybrid, scalable, trace-driven performance modeling of GPGPUs. SC (2021)
Atanu Barai, Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling. CoRR (2021)
Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Yehia Arafa, Stephan J. Eidenbenz
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace. CoRR (2021)
Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi
Verified instruction-level energy consumption measurement for NVIDIA GPUs. CF (2020)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Atanu Barai, Nandakishore Santhi, Stephan J. Eidenbenz
Fast, accurate, and scalable memory modeling of GPGPUs using reuse profiles. ICS (2020)
Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs. CoRR (2020)
Nirmal Prajapati, Sanjay V. Rajopadhye, Hristo N. Djidjev, Nandakishore Santhi, Tobias Grosser, Rumen Andonov
Optimization Approach to Accelerator Codesign. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (6) (2020)
Poornima Haridas, Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz
Code Characterization With Graph Convolutions and Capsule Networks. IEEE Access 8 (2020)
Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz
Machine Learning Enabled Scalable Performance Prediction of Scientific Codes. CoRR (2020)
Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Yehia Arafa, Stephan J. Eidenbenz
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace. MEMSYS (2020)
Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi
NVIDIA GPGPUs Instructions Energy Consumption. ISPASS (2020)
Yehia Arafa, Gopinath Chennupati, Atanu Barai, Abdel-Hameed A. Badawy, Nandakishore Santhi, Stephan J. Eidenbenz
GPUs Cache Performance Estimation using Reuse Distance Analysis. IPCCC (2019)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
POSTER: GPUs Pipeline Latency Analysis. ASAP (2019)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Instructions' Latencies Characterization for NVIDIA GPGPUs. CoRR (2019)
Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance. CoRR (2019)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs. HPEC (2019)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
PPT-GPU: Scalable GPU Performance Modeling. IEEE Comput. Archit. Lett. 18 (2019)
Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Scalable Performance Prediction of Codes with Memory Hierarchy and Pipelines. SIGSIM-PADS (2019)
Mohammad Abu Obaida, Jason Liu, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Parallel Application Performance Prediction Using Analysis Based Models and HPC Simulations. SIGSIM-PADS (2018)
Christopher Hannon, Dong Jin, Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu
Just-in-Time Parallel simulation. WSC (2018)
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, Nathan Lemons, Shizeng Lin, Andrey Y. Lokhov, Alexander Malyzhenkov, David Dennis Lee Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu
Quantum Algorithm Implementations for Beginners. CoRR (2018)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
PPT-GPU: performance prediction toolkit for GPUs identifying the impact of caches: extended abstract. MEMSYS (2018)
Nirmal Prajapati, Sanjay V. Rajopadhye, Hristo N. Djidjev, Nandakishore Santhi, Tobias Grosser, Rumen Andonov
Accelerator Codesign as Non-Linear Optimization. CoRR (2017)
Bhargava Kalla, Nandakishore Santhi, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz
A Probabilistic Monte Carlo Framework for Branch Prediction. CLUSTER (2017)
Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan
An analytical memory hierarchy model for performance prediction. WSC (2017)
Bhargava Kalla, Nandakishore Santhi, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz
Probabilistic Monte Carlo simulations for static branch prediction. IPCCC (2017)
Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan
AMM: Scalable Memory Reuse Model to Predict the Performance of Physics Codes. CLUSTER (2017)
Gopinath Chennupati, Nandakishore Santhi, Robert F. Bird, Sunil Thulasidasan, Abdel-Hameed A. Badawy, Satyajayant Misra, Stephan J. Eidenbenz
A Scalable Analytical Memory Model for CPU Performance Prediction. PMBS@SC (2017)
Richard J. Zamora, Arthur F. Voter, Danny Perez, Nandakishore Santhi, Susan M. Mniszewski, Sunil Thulasidasan, Stephan J. Eidenbenz
Discrete event performance prediction of speculatively parallel temperature-accelerated dynamics. Simul. 92 (12) (2016)
Kishwar Ahmed, Mohammad Obaida, Jason Liu, Stephan J. Eidenbenz, Nandakishore Santhi, Guillaume Chapuis
An Integrated Interconnection Network Model for Large-Scale Performance Prediction. SIGSIM-PADS (2016)
Guillaume Chapuis, Stephan J. Eidenbenz, Nandakishore Santhi
GPU Performance Prediction Through Parallel Discrete Event Simulation and Common Sense. EAI Endorsed Trans. Ubiquitous Environ. 3 (10) (2016)
Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu
The simian concept: parallel discrete event simulation with interpreted languages and just-in-time compilation. WSC (2015)
Guillaume Chapuis, Stephan J. Eidenbenz, Nandakishore Santhi, Eunjung Park
Simian integrated framework for parallel discrete event simulation on GPUs. WSC (2015)
Eunjung Park, Stephan J. Eidenbenz, Nandakishore Santhi, Guillaume Chapuis, Bradley W. Settlemyer
Parameterized benchmarking of parallel discrete event simulation systems: communication, computation, and memory. WSC (2015)
Vladimir Delengov, Yuan Li, Jennifer Thompson, Lukas Kroc, Nandakishore Santhi, Stephan J. Eidenbenz
Optimization principles for arithmetic functions in hardware-software co-design. WSC (2012)
Nandakishore Santhi, Feng Pan
Detecting and Mitigating Abnormal Events in Large Scale Networks: Budget Constrained Placement on Smart Grids. HICSS (2011)
Sachin Kadloor, Nandakishore Santhi
Understanding Cascading Failures in Power Grids CoRR (2010)
Nandakishore Santhi, Guanhua Yan, Stephan J. Eidenbenz
CyberSim: Geographic, temporal, and organizational dynamics of malware propagation. WSC (2010)
Nandakishore Santhi
Sparse representations for codes and the hardness of decoding LDPC codes. ISIT (2008)
Nandakishore Santhi
On Algebraic Decoding of $q$-ary Reed-Muller and Product-Reed-Solomon Codes CoRR (2007)
Nandakishore Santhi
On Algebraic Decoding of q-ary Reed-Muller and Product Reed-Solomon Codes. ISIT (2007)
Nandakishore Santhi, Alexander Vardy
Analog Codes on Graphs CoRR (2006)
Nandakishore Santhi, Alexander Vardy
Minimum Distance of Codes and Their Branching Program Complexity. ISIT (2006)
Nandakishore Santhi, Alexander Vardy
On an Improvement over Rényi's Equivocation Bound CoRR (2006)
Nandakishore Santhi, Alexander Vardy
On the effect of parity-check weights in iterative decoding. ISIT (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nandakishore Santhi