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2020 – today
- 2024
[c35]Abdur Razzak
, Atanu Barai, Nandakishore Santhi, Abdel-Hameed A. Badawy:
Static Reuse Profile Estimation for Array Applications. MEMSYS 2024: 235-244- 2023
- [c34]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: 1975-1982 - [c33]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: 3:1-3:6 - [c32]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: 9:1-9:3 - [i15]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 abs/2311.12883 (2023) - 2022
- [j7]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): 2354-2385 (2022) - [c31]Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi, Abdel-Hameed A. Badawy:
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis. HPEC 2022: 1-8 - [c30]Shamminuj Aktar, Abdel-Hameed A. Badawy, Nandakishore Santhi:
Quantum Netlist Compiler (QNC). HPEC 2022: 1-7 - [i14]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 abs/2202.07798 (2022) - [i13]Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi, Abdel-Hameed A. Badawy:
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis. CoRR abs/2208.11174 (2022) - 2021
- [j6]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): 11:1-11:28 (2021) - [c29]Ali Eker, Yehia Arafa, Abdel-Hameed A. Badawy, Nandakishore Santhi, Stephan J. Eidenbenz, Dmitry Ponomarev:
Load-Aware Dynamic Time Synchronization in Parallel Discrete Event Simulation. SIGSIM-PADS 2021: 95-105 - [c28]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: 53 - [i12]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 abs/2103.10635 (2021) - [i11]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 abs/2104.05102 (2021) - 2020
- [j5]Poornima Haridas, Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz:
Code Characterization With Graph Convolutions and Capsule Networks. IEEE Access 8: 136307-136315 (2020) - [j4]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): 1300-1313 (2020) - [c27]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: 60-70 - [c26]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: 31:1-31:12 - [c25]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: 110-112 - [c24]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: 341-351 - [i10]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 abs/2002.07795 (2020) - [i9]Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz:
Machine Learning Enabled Scalable Performance Prediction of Scientific Codes. CoRR abs/2010.04212 (2020)
2010 – 2019
- 2019
- [j3]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
PPT-GPU: Scalable GPU Performance Modeling. IEEE Comput. Archit. Lett. 18: 55-58 (2019) - [c23]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
POSTER: GPUs Pipeline Latency Analysis. ASAP 2019: 139 - [c22]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs. HPEC 2019: 1-8 - [c21]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: 1-8 - [c20]Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
Scalable Performance Prediction of Codes with Memory Hierarchy and Pipelines. SIGSIM-PADS 2019: 13-24 - [i8]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
Instructions' Latencies Characterization for NVIDIA GPGPUs. CoRR abs/1905.08778 (2019) - [i7]Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz:
Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance. CoRR abs/1907.12666 (2019) - 2018
- [c19]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: 301-302 - [c18]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: 49-59 - [c17]Christopher Hannon, Dong Jin, Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu:
Just-in-Time Parallel simulation. WSC 2018: 640-651 - [p1]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan, Stephan J. Eidenbenz, Nandakishore Santhi:
Synthesis of Parallel Programs on Multi-Cores. Handbook of Grammatical Evolution 2018: 289-315 - [i6]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 abs/1804.03719 (2018) - 2017
- [c16]Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan:
AMM: Scalable Memory Reuse Model to Predict the Performance of Physics Codes. CLUSTER 2017: 649-650 - [c15]Bhargava Kalla, Nandakishore Santhi, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz:
A Probabilistic Monte Carlo Framework for Branch Prediction. CLUSTER 2017: 651-652 - [c14]Bhargava Kalla, Nandakishore Santhi, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz:
Probabilistic Monte Carlo simulations for static branch prediction. IPCCC 2017: 1-4 - [c13]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: 114-135 - [c12]Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan:
An analytical memory hierarchy model for performance prediction. WSC 2017: 908-919 - [i5]Nirmal Prajapati, Sanjay V. Rajopadhye, Hristo N. Djidjev, Nandakishore Santhi, Tobias Grosser, Rumen Andonov:
Accelerator Codesign as Non-Linear Optimization. CoRR abs/1712.04892 (2017) - 2016
- [j2]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): 1065-1086 (2016) - [j1]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): e4 (2016) - [c11]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: 177-187 - 2015
- [c10]Guillaume Chapuis, Stephan J. Eidenbenz, Nandakishore Santhi, Eunjung Park:
Simian integrated framework for parallel discrete event simulation on GPUs. WSC 2015: 1127-1138 - [c9]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: 2836-2847 - [c8]Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu:
The simian concept: parallel discrete event simulation with interpreted languages and just-in-time compilation. WSC 2015: 3013-3024 - 2012
- [c7]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: 337:1-337:2 - 2011
- [c6]Nandakishore Santhi, Feng Pan:
Detecting and Mitigating Abnormal Events in Large Scale Networks: Budget Constrained Placement on Smart Grids. HICSS 2011: 1-6 - 2010
- [c5]Nandakishore Santhi, Guanhua Yan, Stephan J. Eidenbenz:
CyberSim: Geographic, temporal, and organizational dynamics of malware propagation. WSC 2010: 2876-2887 - [i4]Sachin Kadloor, Nandakishore Santhi:
Understanding Cascading Failures in Power Grids. CoRR abs/1011.4098 (2010)
2000 – 2009
- 2008
- [c4]Nandakishore Santhi:
Sparse representations for codes and the hardness of decoding LDPC codes. ISIT 2008: 290-294 - 2007
- [c3]Nandakishore Santhi:
On Algebraic Decoding of q-ary Reed-Muller and Product Reed-Solomon Codes. ISIT 2007: 1351-1355 - [i3]Nandakishore Santhi:
On Algebraic Decoding of $q$-ary Reed-Muller and Product-Reed-Solomon Codes. CoRR abs/0704.2811 (2007) - 2006
- [b1]Nandakishore Santhi:
Graphical models for coding and computation. University of California, San Diego, USA, 2006 - [c2]Nandakishore Santhi, Alexander Vardy:
Minimum Distance of Codes and Their Branching Program Complexity. ISIT 2006: 1490-1494 - [i2]Nandakishore Santhi, Alexander Vardy:
Analog Codes on Graphs. CoRR abs/cs/0608086 (2006) - [i1]Nandakishore Santhi, Alexander Vardy:
On an Improvement over Rényi's Equivocation Bound. CoRR abs/cs/0608087 (2006) - 2004
- [c1]Nandakishore Santhi, Alexander Vardy:
On the effect of parity-check weights in iterative decoding. ISIT 2004: 101
Coauthor Index
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