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ORCIDSai Manoj Pudukotai Dinakarrao
Sai Manoj P. D. – Sai Manoj PD
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2020 – today
- 2024
[j40]Pavlos Zouridakis
, Sai Manoj Pudukotai Dinakarrao:
Performance- and Energy-Aware Gait-Based User Authentication With Intermittent Computation for IoT Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 600-612 (2024)- [j39]Sathwika Bavikadi, Purab Ranjan Sutradhar, Mark A. Indovina, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
ReApprox-PIM: Reconfigurable Approximate Lookup-Table (LUT)-Based Processing-in-Memory (PIM) Machine Learning Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(8): 2288-2300 (2024) - [j38]Purab Ranjan Sutradhar, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly:
3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications. IEEE Trans. Emerg. Top. Comput. 12(1): 60-72 (2024) - [c107]Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks. ASPDAC 2024: 368-373 - [c106]Venkat Nitin Patnala, Sai Manoj Pudukotai Dinakarrao, Guru Venkataramani, Jie Chen, Preet Derasari, Milos Doroslovacki, Fan Yao, Hongyu Fang, Meron Demissie, Todd M. Austin, Lauren Biernacki, Saket Upadhyay, Arnabjyoti Kalita, Ashish Venkat:
Special Session: Detecting and Defending Vulnerabilities in Heterogeneous and Monolithic Systems: Current Strategies and Future Directions. CASES 2024: 5-14 - [c105]Raghul Saravanan, Sai Manoj Pudukotai Dinakarrao:
The Fuzz Odyssey: A Survey on Hardware Fuzzing Frameworks for Hardware Design Verification. ACM Great Lakes Symposium on VLSI 2024: 192-197 - [c104]Raghul Saravanan, Sai Manoj Pudukotai Dinakarrao:
Exploring Coverage Metrics in Hardware Fuzzing: A Comprehensive Analysis. ACM Great Lakes Symposium on VLSI 2024: 240-245 - [c103]Sreenitha Kasarapu, Dipkamal Bhusal, Nidhi Rastogi, Sai Manoj Pudukotai Dinakarrao:
Comprehensive Analysis of Consistency and Robustness of Machine Learning Models in Malware Detection. ACM Great Lakes Symposium on VLSI 2024: 477-482 - [c102]Sanket Shukla, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao:
Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications. ACM Great Lakes Symposium on VLSI 2024: 633-638 - [c101]Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Energy Harvesting-Supported Efficient Low-Power ML Processing with Adaptive Checkpointing and Intermittent Computing. ISLPED 2024: 1-6 - [c100]Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Bring it On: Kinetic Energy Harvesting to Spark Machine Learning Computations in IoTs. ISQED 2024: 1-6 - [c99]Pavlos Zouridakis, Sai Manoj Pudukotai Dinakarrao:
Dynamic Exit Selection for Comprehensive and Energy Efficient Gait-Based User Authentication on IoT Devices. ISVLSI 2024: 234-239 - [c98]Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
Reconfigurable Processing-in-Memory Architecture for Data Intensive Applications. VLSID 2024: 222-227 - [c97]Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao:
Processing-in-Memory Architecture with Precision-Scaling for Malware Detection. VLSID 2024: 529-534 - [i13]Raghul Saravanan, Sai Manoj Pudukotai Dinakarrao:
The Emergence of Hardware Fuzzing: A Critical Review of its Significance. CoRR abs/2403.12812 (2024) - [i12]Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Generative AI-Based Effective Malware Detection for Embedded Computing Systems. CoRR abs/2404.02344 (2024) - [i11]Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization. CoRR abs/2404.08808 (2024) - [i10]Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao:
Empowering Malware Detection Efficiency within Processing-in-Memory Architecture. CoRR abs/2404.08818 (2024) - [i9]Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security. CoRR abs/2404.10012 (2024) - 2023
- [j37]Sayed Aresh Beheshti-Shirazi, Najmeh Nazari, Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Setareh Rafatirad, Houman Homayoun, Avesta Sasan, Sai Manoj P. D.:
Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization. IEEE Access 11: 87869-87886 (2023) - [j36]Amir Hosein Afandizadeh Zargari, Marzieh Ashrafiamiri, Minjun Seo, Sai Manoj Pudukotai Dinakarrao, Mohammed E. Fouda, Fadi J. Kurdahi:
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering. Inf. 14(12): 656 (2023) - [j35]Rakibul Hassan, Xingyu Meng, Kanad Basu, Sai Manoj Pudukotai Dinakarrao:
Circuit Topology-Aware Vaccination-Based Hardware Trojan Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(9): 2852-2862 (2023) - [j34]Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Resource- and Workload-Aware Model Parallelism-Inspired Novel Malware Detection for IoT Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4618-4628 (2023) - [j33]Abhijitt Dhavlle, M. Meraj Ahmed, Naseef Mansoor, Kanad Basu, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
Defense Against On-Chip Trojans Enabling Traffic Analysis Attacks Based on Machine Learning and Data Augmentation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4681-4694 (2023) - [j32]Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Anirudh Srikanth, Tyler Sheaves, Sayed Arash Beheshti-Shirazi, Sai Manoj PD, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Soheil Salehi:
Hardware Trojan Detection Using Machine Learning: A Tutorial. ACM Trans. Embed. Comput. Syst. 22(3): 46:1-46:26 (2023) - [c96]Katherine Mercado, Sathwika Bavikadi, Sai Manoj P. D.:
Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications. CISS 2023: 1-6 - [c95]Nima Kavand, Armin Darjani, Jens Trommer, Giulio Galderisi, Thomas Mikolajick, Nicolai Müller, Amir Moradi, Chongzhou Fang, Ning Miao, Han Wang, Sai Manoj P. D., Houman Homayoun, Benjamin Hettwer, Luca Parrini, Akash Kumar:
Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches. CODES+ISSS 2023: 8-17 - [c94]Najmeh Nazari, Chongzhou Fang, Sai Manoj P. D., Houman Homayoun:
Don't Cross Me! Cross-layer System Security. DAC 2023: 1-2 - [c93]Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. DATE 2023: 1-6 - [c92]Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark A. Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
FlutPIM: : A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications. ACM Great Lakes Symposium on VLSI 2023: 207-211 - [c91]Raghul Saravanan, Sathwika Bavikadi, Shubham Rai, Akash Kumar, Sai Manoj Pudukotai Dinakarrao:
Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications. ISCAS 2023: 1-5 - [c90]Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
Heterogeneous Multi-Functional Look-Up-Table-based Processing-in-Memory Architecture for Deep Learning Acceleration. ISQED 2023: 1-8 - [c89]Rakibul Hassan, Charan Bandi, Meng-Tien Tsai, Shahriar Golchin, Sai Manoj P. D., Setareh Rafatirad, Soheil Salehi:
Automated Supervised Topic Modeling Framework for Hardware Weaknesses. ISQED 2023: 1-8 - [c88]Kevin Immanuel Gubbi, Inderpreet Kaur, Abdallah Hashem, Sai Manoj P. D., Houman Homayoun, Avesta Sasan, Soheil Salehi:
Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators. MWSCAS 2023: 821-825 - 2022
- [j31]Abhishek Vashist, Maojia Patrick Li, Amlan Ganguly, Sai Manoj P. D., Clark Hochgraf, Raymond W. Ptucha, Andres Kwasinski, Michael E. Kuhl:
KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware. IEEE Consumer Electron. Mag. 11(4): 65-77 (2022) - [j30]Sai Manoj Pudukotai Dinakarrao, Arun Joseph, Amlan Ganguly, Anand Haridass, Vijay Janappa Reddi:
Guest Editors' Introduction: Special Issue on Benchmarking Machine Learning Systems and Applications. IEEE Des. Test 39(3): 5-7 (2022) - [j29]Sathwika Bavikadi, Abhijitt Dhavlle, Amlan Ganguly, Anand Haridass, Hagar Hendy, Cory E. Merkel, Vijay Janapa Reddi, Purab Ranjan Sutradhar, Arun Joseph, Sai Manoj Pudukotai Dinakarrao:
A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms. IEEE Des. Test 39(3): 91-116 (2022) - [j28]Abhijitt Dhavlle, Setareh Rafatirad, Khaled N. Khasawneh, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Imitating Functional Operations for Mitigating Side-Channel Leakage. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 868-881 (2022) - [j27]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Neural Network-Based Cognitive Obfuscation Toward Enhanced Logic Locking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4587-4599 (2022) - [j26]Gaurav Kolhe, Tyler David Sheaves, Sai Manoj P. D., Hamid Mahmoodi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Breaking the Design and Security Trade-off of Look-up-table-based Obfuscation. ACM Trans. Design Autom. Electr. Syst. 27(6): 56:1-56:29 (2022) - [j25]Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark Connolly, Savankumar Prajapati, Mark A. Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Look-up-Table Based Processing-in-Memory Architecture With Programmable Precision-Scaling for Deep Learning Applications. IEEE Trans. Parallel Distributed Syst. 33(2): 263-275 (2022) - [c87]Gaurav Kolhe, Tyler David Sheaves, Kevin Immanuel Gubbi, Soheil Salehi, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Houman Homayoun:
LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking. DAC 2022: 85-90 - [c86]Gaurav Kolhe, Tyler Sheaves, Kevin Immanuel Gubbi, Tejas Kadale, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Hamid Mahmoodi, Houman Homayoun:
Silicon validation of LUT-based logic-locked IP cores. DAC 2022: 1189-1194 - [c85]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
CR-Spectre: Defense-Aware ROP Injected Code-Reuse Based Dynamic Spectre. DATE 2022: 508-513 - [c84]Sathwika Bavikadi, Purab Ranjan Sutradhar, Mark A. Indovina, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
POLAR: Performance-aware On-device Learning Capable Programmable Processing-in-Memory Architecture for Low-Power ML Applications. DSD 2022: 889-898 - [c83]Sai Manoj Pudukotai Dinakarrao:
Session details: Session 7A: Special Session - 3: Machine Learning-Aided Computer-Aided Design. ACM Great Lakes Symposium on VLSI 2022 - [c82]Sanket Shukla, Gaurav Kolhe, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D.:
RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. ACM Great Lakes Symposium on VLSI 2022: 153-157 - [c81]Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Sayed Aresh Beheshti-Shirazi, Ali Mirzaeian, Xiaojie Guo, Sai Manoj P. D., Houman Homayoun, Ioannis Savidis, Liang Zhao, Avesta Sasan:
RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis. ACM Great Lakes Symposium on VLSI 2022: 493-500 - [c80]Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj P. D.:
CAD-FSL: Code-Aware Data Generation based Few-Shot Learning for Efficient Malware Detection. ACM Great Lakes Symposium on VLSI 2022: 507-512 - [c79]Kevin Immanuel Gubbi, Sayed Aresh Beheshti-Shirazi, Tyler David Sheaves, Soheil Salehi, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Survey of Machine Learning for Electronic Design Automation. ACM Great Lakes Symposium on VLSI 2022: 513-518 - [c78]Sanket Shukla, Abhijitt Dhavlle, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad:
Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. ICCD 2022: 259-262 - [c77]Abhishek Vashist, Sharan Vidash Vidya Shanmugham, Amlan Ganguly, Sai Manoj P. D.:
DQN Based Exit Selection in Multi-Exit Deep Neural Networks for Applications Targeting Situation Awareness. ICCE 2022: 1-6 - [c76]Pavlos Zouridakis, Sai Manoj Pudukotai Dinakarrao:
Performance-aware Lightweight Dynamic Early-Exit-based Gait Authentication. ISCAS 2022: 1-5 - [c75]Ali Mirzaeian, Zhi Tian, Sai Manoj P. D., Banafsheh S. Latibari, Ioannis Savidis, Houman Homayoun, Avesta Sasan:
Adaptive-Gravity: A Defense Against Adversarial Samples. ISQED 2022: 96-101 - [c74]Shiyi Liu, Sathwika Bavikadi, Tanmoy Sen, Haiying Shen, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao, Brian L. Smith:
Accelerating Adversarial Attack using Process-in-Memory Architecture. MSN 2022: 325-330 - [c73]Soheil Salehi, Tyler David Sheaves, Kevin Immanuel Gubbi, Sayed Arash Beheshti, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Tinoosh Mohsenin, Houman Homayoun:
Neuromorphic-Enabled Security for IoT. NEWCAS 2022: 153-157 - [c72]Prangon Das, Purab Ranjan Sutradhar, Mark A. Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Implementation and Evaluation of Deep Neural Networks in Commercially Available Processing in Memory Hardware. SOCC 2022: 1-6 - [c71]Sunanda Roy, Angelos Stavrou, Brian L. Mark, Kai Zeng, Sai Manoj P. D., Khaled N. Khasawneh:
Characterization of AES Implementations on Microprocessor-based IoT Devices. WCNC 2022: 55-60 - [i8]Ali Mirzaeian, Zhi Tian, Sai Manoj P. D., Banafsheh S. Latibari, Ioannis Savidis, Houman Homayoun, Avesta Sasan:
Adaptive-Gravity: A Defense Against Adversarial Samples. CoRR abs/2204.03694 (2022) - [i7]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking. CoRR abs/2209.05799 (2022) - 2021
- [j24]Sai Manoj Pudukotai Dinakarrao, Hantao Huang, Hao Yu:
Energy-Efficient and Error-Resilient Cognitive I/O for 3-D-Integrated Manycore Microprocessors. IEEE Des. Test 38(6): 88-95 (2021) - [j23]Han Wang, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Enabling Micro AI for Securing Edge Devices at Hardware Level. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 803-815 (2021) - [j22]Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao:
Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data 4: 608286 (2021) - [j21]Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep graph transformation for attributed, directed, and signed networks. Knowl. Inf. Syst. 63(6): 1305-1337 (2021) - [j20]M. Meraj Ahmed, Amlan Ganguly, Abhishek Vashist, Sai Manoj Pudukotai Dinakarrao:
AWARe-Wi: A jamming-aware reconfigurable wireless interconnection using adversarial learning for multichip systems. Sustain. Comput. Informatics Syst. 29(Part): 100470 (2021) - [j19]Sai Manoj Pudukotai Dinakarrao:
Self-aware power management for multi-core microprocessors. Sustain. Comput. Informatics Syst. 29(Part): 100480 (2021) - [j18]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Tinoosh Mohsenin, Setareh Rafatirad, Houman Homayoun:
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 18:1-18:24 (2021) - [c70]Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
uPIM: Performance-aware Online Learning Capable Processing-in-Memory. AICAS 2021: 1-4 - [c69]Sreenitha Kasarapu, Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Demography-aware COVID-19 Confinement with Game Theory. AICAS 2021: 1-4 - [c68]Han Wang, Soheil Salehi, Hossein Sayadi, Avesta Sasan, Tinoosh Mohsenin, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. AICAS 2021: 1-4 - [c67]Gaurav Kolhe, Soheil Salehi, Tyler David Sheaves, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan:
Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks. DAC 2021: 229-234 - [c66]Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad:
On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. DAC 2021: 967-972 - [c65]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Cognitive SAT to SAT-Hard Clause Translation-based Logic Obfuscation. DATE 2021: 1172-1177 - [c64]Abhijitt Dhavlle, Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. DATE 2021: 1769-1774 - [c63]Sayed Aresh Beheshti-Shirazi, Ashkan Vakil, Sai Manoj P. D., Ioannis Savidis, Houman Homayoun, Avesta Sasan:
A Reinforced Learning Solution for Clock Skew Engineering to Reduce Peak Current and IR Drop. ACM Great Lakes Symposium on VLSI 2021: 181-187 - [c62]Neha Nagarkar, Khaled N. Khasawneh, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Energy-Efficient and Adversarially Robust Machine Learning with Selective Dynamic Band Filtering. ACM Great Lakes Symposium on VLSI 2021: 195-200 - [c61]Siddharth Barve, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao, Rashmi Jha:
Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures. ACM Great Lakes Symposium on VLSI 2021: 201-206 - [c60]Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Performance-aware Malware Epidemic Confinement in Large-Scale IoT Networks. ICC 2021: 1-6 - [c59]Purab Ranjan Sutradhar, Kanad Basu, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
An Ultra-efficient Look-up Table based Programmable Processing in Memory Architecture for Data Encryption. ICCD 2021: 252-259 - [c58]M. Meraj Ahmed, Abhijitt Dhavlle, Naseef Mansoor, Sai Manoj Pudukotai Dinakarrao, Kanad Basu, Amlan Ganguly:
What Can a Remote Access Hardware Trojan do to a Network-on-Chip? ISCAS 2021: 1-5 - [c57]Abhijitt Dhavlle, Rakibul Hassan, Manideep Mittapalli, Sai Manoj Pudukotai Dinakarrao:
Design of Hardware Trojans and its Impact on CPS Systems: A Comprehensive Survey. ISCAS 2021: 1-5 - [c56]Xingyu Meng, Rakibul Hassan, Sai Manoj Pudukotai Dinakarrao, Kanad Basu:
Can Overclocking Detect Hardware Trojans? ISCAS 2021: 1-5 - [c55]Han Wang, Hossein Sayadi, Avesta Sasan, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization. ISQED 2021: 79-84 - [c54]Ali Mirzaeian, Sai Manoj P. D., Ashkan Vakil, Houman Homayoun, Avesta Sasan:
Conditional Classification: A Solution for Computational Energy Reduction. ISQED 2021: 325-330 - [c53]Charan Bandi, Soheil Salehi, Rakibul Hassan, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad:
Ontology-Driven Framework for Trend Analysis of Vulnerabilities and Impacts in IoT Hardware. ICSC 2021: 211-214 - [c52]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Power Swapper: Approximate Functional Block Assisted Cryptosystem Security. SoCC 2021: 101-105 - [i6]Amir Hosein Afandizadeh Zargari, Marzieh Ashrafiamiri, Minjun Seo, Sai Manoj Pudukotai Dinakarrao, Mohammed E. Fouda, Fadi J. Kurdahi:
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering. CoRR abs/2110.11459 (2021) - 2020
- [j17]Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun:
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. IEEE Access 8: 138508-138528 (2020) - [j16]Purab Ranjan Sutradhar, Mark Connolly, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly:
pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning. IEEE Comput. Archit. Lett. 19(2): 118-121 (2020) - [j15]Santiago Pagani, Sai Manoj P. D., Axel Jantsch, Jörg Henkel:
Machine Learning for Power, Energy, and Thermal Management on Multicore Processors: A Survey. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 101-116 (2020) - [c51]M. Meraj Ahmed, Abhijitt Dhavlle, Naseef Mansoor, Purab Ranjan Sutradhar, Sai Manoj Pudukotai Dinakarrao, Kanad Basu, Amlan Ganguly:
Defense Against on-Chip Trojans Enabling Traffic Analysis Attacks. AsianHOST 2020: 1-6 - [c50]M. Meraj Ahmed, Abhishek Vashist, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Architecting a Secure Wireless Interconnect for Multichip Communication: An ML Approach. AsianHOST 2020: 1-6 - [c49]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao:
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE 2020: 358-363 - [c48]Sathwika Bavikadi, Purab Ranjan Sutradhar, Khaled N. Khasawneh, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
A Review of In-Memory Computing Architectures for Machine Learning Applications. ACM Great Lakes Symposium on VLSI 2020: 89-94 - [c47]Claudio Canella, Sai Manoj Pudukotai Dinakarrao, Daniel Gruss, Khaled N. Khasawneh:
Evolution of Defenses against Transient-Execution Attacks. ACM Great Lakes Symposium on VLSI 2020: 169-174 - [c46]Abhijitt Dhavlle, Sai Manoj Pudukotai Dinakarrao:
A Comprehensive Review of ML-based Time-Series and Signal Processing Techniques and their Hardware Implementations. IGSC (Workshops) 2020: 1-8 - [c45]Abhishek Vashist, Darshan Ramesh Bhanushali, Robert Relyea, Clark Hochgraf, Amlan Ganguly, Sai Manoj P. D., Raymond W. Ptucha, Andres Kwasinski, Michael E. Kuhl:
Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling. ICCE 2020: 1-6 - [c44]Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan:
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. ISQED 2020: 27-32 - [c43]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
SATConda: SAT to SAT-Hard Clause Translator. ISQED 2020: 155-160 - [c42]Abhijitt Dhavlle, Raj Mehta, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Entropy-Shield: Side-Channel Entropy Maximization for Timing-based Side-Channel Attacks. ISQED 2020: 161-166 - [c41]Marzieh Ashrafiamiri, Sai Manoj Pudukotai Dinakarrao, Amir Hosein Afandizadeh Zargari, Minjun Seo, Fadi J. Kurdahi, Houman Homayoun:
R2AD: Randomization and Reconstructor-based Adversarial Defense on Deep Neural Network. MLCAD 2020: 21-26 - [c40]Shervin Roshanisefat, Hadi Mardani Kamali, Kimia Zamiri Azar, Sai Manoj Pudukotai Dinakarrao, Naghmeh Karimi, Houman Homayoun, Avesta Sasan:
DFSSD: Deep Faults and Shallow State Duality, A Provably Strong Obfuscation Solution for Circuits with Restricted Access to Scan Chain. VTS 2020: 1-6 - [i5]Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan:
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. CoRR abs/2001.06099 (2020) - [i4]Shervin Roshanisefat, Hadi Mardani Kamali, Kimia Zamiri Azar, Sai Manoj Pudukotai Dinakarrao, Naghmeh Karimi, Houman Homayoun, Avesta Sasan:
DFSSD: Deep Faults and Shallow State Duality, A Provably Strong Obfuscation Solution for Circuits with Restricted Access to Scan Chain. CoRR abs/2002.07857 (2020) - [i3]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. CoRR abs/2003.09945 (2020)
2010 – 2019
- 2019
- [j14]Sai Manoj Pudukotai Dinakarrao, Axel Jantsch, Muhammad Shafique:
Computer-aided Arrhythmia Diagnosis with Bio-signal Processing: A Survey of Trends and Techniques. ACM Comput. Surv. 52(2): 23:1-23:37 (2019) - [j13]Sai Manoj Pudukotai Dinakarrao, Arun Joseph, Anand Haridass, Muhammad Shafique, Jörg Henkel, Houman Homayoun:
Application and Thermal-reliability-aware Reinforcement Learning Based Multi-core Power Management. ACM J. Emerg. Technol. Comput. Syst. 15(4): 33:1-33:19 (2019) - [j12]Abhishek Vashist, Andrew Keats, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Unified Testing and Security Framework for Wireless Network-on-Chip Enabled Multi-Core Chips. ACM Trans. Embed. Comput. Syst. 18(5s): 75:1-75:20 (2019) - [j11]Abhishek Vashist, Andrew Keats, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Securing a Wireless Network-on-Chip Against Jamming-Based Denial-of-Service and Eavesdropping Attacks. IEEE Trans. Very Large Scale Integr. Syst. 27(12): 2781-2791 (2019) - [c39]Abhijitt Dhavlle, Sahil Bhat, Setareh Rafatirad, Houman Homayoun, Sai Manoj P. D.:
Sequence-Crafter: Side-Channel Entropy Minimization to Thwart Timing-based Side-Channel Attacks. CASES (work in progress) 2019: 1-2 - [c38]Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
SAT to SAT-Hard Clause Translator. CASES (work in progress) 2019: 1-2 - [c37]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. CASES (work in progress) 2019: 1-2 - [c36]Sai Manoj Pudukotai Dinakarrao, Sairaj Amberkar, Sahil Bhat, Abhijitt Dhavlle, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Adversarial Attack on Microarchitectural Events based Malware Detectors. DAC 2019: 164 - [c35]Hossein Sayadi, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. DATE 2019: 728-733 - [c34]Sai Manoj Pudukotai Dinakarrao, Hossein Sayadi, Hosein Mohammadi Makrani, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun:
Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks. DATE 2019: 776-781 - [c33]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. FPL 2019: 397-403 - [c32]Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad, Hamid Mahmoodi, Avesta Sasan, Houman Homayoun:
On Custom LUT-based Obfuscation. ACM Great Lakes Symposium on VLSI 2019: 477-482 - [c31]Martin Lechner, Axel Jantsch, Sai Manoj Pudukotai Dinakarrao:
ResCoNN: Resource-Efficient FPGA-Accelerated CNN for Traffic Sign Classification. IGSC 2019: 1-6 - [c30]Gaurav Kolhe, Hadi Mardani Kamali, Miklesh Naicker, Tyler David Sheaves, Hamid Mahmoodi, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad, Avesta Sasan:
Security and Complexity Analysis of LUT-based Obfuscation: From Blueprint to Reality. ICCAD 2019: 1-8 - [c29]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. ICDM 2019: 250-259 - [c28]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. ICMLA 2019: 406-409 - [c27]Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad:
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. ICTAI 2019: 590-597 - [c26]Abhishek Vashist, Andrew Keats, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Securing a Wireless Network-on-Chip Against Jamming Based Denial-of-Service Attacks. ISVLSI 2019: 320-325 - [i2]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu:
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. CoRR abs/1902.05357 (2019) - [i1]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. CoRR abs/1907.12952 (2019) - 2018
- [j10]Dongjun Xu, Ningmei Yu, Hantao Huang, Sai Manoj Pudukotai Dinakarrao, Hao Yu:
Q-Learning-Based Voltage-Swing Tuning and Compensation for 2.5-D Memory-Logic Integration. IEEE Des. Test 35(2): 91-99 (2018) - [j9]Sai Manoj P. D., Axel Jantsch, Muhammad Shafique:
SmartDPM: Machine Learning-Based Dynamic Power Management for Multi-Core Microprocessors. J. Low Power Electron. 14(4): 460-474 (2018) - [j8]Matthias Wess, Sai Manoj Pudukotai Dinakarrao, Axel Jantsch:
Weighted Quantization-Regularization in DNNs for Weight Memory Minimization Toward HW Implementation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2929-2939 (2018) - [c25]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads. ASAP 2018: 1-8 - [c24]Ferdinand Brasser, Lucas Davi, Abhijitt Dhavlle, Tommaso Frassetto, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Ahmad-Reza Sadeghi, Avesta Sasan, Hossein Sayadi, Shaza Zeitouni, Houman Homayoun:
Advances and throwbacks in hardware-assisted security: special session. CASES 2018: 15:1-15:10 - [c23]Hossein Sayadi, Sai Manoj P. D., Amir Houmansadr, Setareh Rafatirad, Houman Homayoun:
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. CF 2018: 212-215 - [c22]Hossein Sayadi, Nisarg Patel, Sai Manoj P. D., Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification. DAC 2018: 1:1-1:6 - [c21]Jakob Stangl, Thomas Lorünser, Sai Manoj Pudukotai Dinakarrao:
A fast and resource efficient FPGA implementation of secret sharing for storage applications. DATE 2018: 654-659 - [c20]Sai Manoj Pudukotai Dinakarrao, Axel Jantsch:
ADDHard: Arrhythmia Detection with Digital Hardware by Learning ECG Signal. ACM Great Lakes Symposium on VLSI 2018: 495-498 - [c19]Sai Manoj P. D., Sairaj Amberkar, Setareh Rafatirad, Houman Homayoun:
Efficient utilization of adversarial training towards robust machine learners and its analysis. ICCAD 2018: 78 - [c18]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Houman Homayoun:
A comprehensive memory analysis of data intensive workloads on server class architecture. MEMSYS 2018: 19-30 - [c17]Hossein Sayadi, Hosein Mohammadi Makrani, Onkar Randive, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Houman Homayoun:
Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices. TrustCom/BigDataSE 2018: 1685-1688 - 2017
- [j7]Sai Manoj P. D., Jie Lin, Shikai Zhu, Yingying Yin, Xu Liu, Xiwei Huang, Chongshen Song, Wenqi Zhang, Mei Yan, Zhiyi Yu, Hao Yu:
A Scalable Network-on-Chip Microprocessor With 2.5D Integrated Memory and Accelerator. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(6): 1432-1443 (2017) - [c16]Matthias Wess, Sai Manoj P. D., Axel Jantsch:
Neural network based ECG anomaly detection on FPGA and trade-off analysis. ISCAS 2017: 1-4 - [c15]Nima Taherinejad, Muhammad Ali Shami, Sai Manoj P. D.:
Self-aware sensing and attention-based data collection in Multi-Processor System-on-Chips. NEWCAS 2017: 81-84 - 2016
- [j6]Sai Manoj P. D., Hao Yu, Hantao Huang, Dongjun Xu:
A Q-Learning Based Self-Adaptive I/O Communication for 2.5D Integrated Many-Core Microprocessor and Memory. IEEE Trans. Computers 65(4): 1185-1196 (2016) - [j5]Leibin Ni, Sai Manoj P. D., Yang Song, Chenjie Gu, Hao Yu:
A Zonotoped Macromodeling for Eye-Diagram Verification of High-Speed I/O Links With Jitter and Parameter Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(6): 1040-1051 (2016) - [c14]Nima Taherinejad, Sai Manoj P. D., Michael Rathmair, Axel Jantsch:
Fully digital write-in scheme for multi-bit memristive storage. CCE 2016: 1-6 - 2015
- [j4]Dongjun Xu, Sai Manoj P. D., Kanwen Wang, Hao Yu, Ningmei Yu, Mingbin Yu:
A 2.5-D Memory-Logic Integration With Data-Pattern-Aware Memory Controller. IEEE Des. Test 32(4): 49-58 (2015) - [j3]Sai Manoj P. D., Hao Yu, Kanwen Wang:
3D Many-Core Microprocessor Power Management by Space-Time Multiplexing Based Demand-Supply Matching. IEEE Trans. Computers 64(11): 3022-3036 (2015) - [c13]Jie Lin, Shikai Zhu, Zhiyi Yu, Dongjun Xu, Sai Manoj P. D., Hao Yu:
A scalable and reconfigurable 2.5D integrated multicore processor on silicon interposer. CICC 2015: 1-4 - [c12]Nima Taherinejad, Sai Manoj P. D., Axel Jantsch:
Memristors' Potential for Multi-bit Storage and Pattern Learning. EMS 2015: 450-455 - [c11]Sai Manoj P. D., Kanwen Wang, Hantao Huang, Hao Yu:
Smart I/Os: a data-pattern aware 2.5D interconnect with space-time multiplexing. SLIP 2015: 1-6 - 2014
- [j2]Yang Song, Hao Yu, Sai Manoj Pudukotai Dinakarrao:
Reachability-Based Robustness Verification and Optimization of SRAM Dynamic Stability Under Process Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(4): 585-598 (2014) - [c10]Yang Song, Sai Manoj Pudukotai Dinakarrao, Hao Yu:
A robustness optimization of SRAM dynamic stability by sensitivity-based reachability analysis. ASP-DAC 2014: 461-466 - [c9]Yang Song, Sai Manoj Pudukotai Dinakarrao, Hao Yu:
Zonotope-based nonlinear model order reduction for fast performance bound analysis of analog circuits with multiple-interval-valued parameter variations. DATE 2014: 1-6 - [c8]Sih-Sian Wu, Kanwen Wang, Sai Manoj Pudukotai Dinakarrao, Tsung-Yi Ho, Mingbin Yu, Hao Yu:
A thermal resilient integration of many-core microprocessors and main memory by 2.5D TSI I/Os. DATE 2014: 1-4 - [c7]Hantao Huang, Sai Manoj Pudukotai Dinakarrao, Dongjun Xu, Hao Yu, Zhigang Hao:
Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5D I/Os for many-core microprocessor and memory communication. ICCAD 2014: 224-229 - [c6]Sai Manoj Pudukotai Dinakarrao, Hao Yu, Chenjie Gu, Cheng Zhuo:
A zonotoped macromodeling for reachability verification of eye-diagram in high-speed I/O links with jitter. ICCAD 2014: 696-701 - [c5]Dongjun Xu, Sai Manoj Pudukotai Dinakarrao, Hantao Huang, Ningmei Yu, Hao Yu:
An energy-efficient 2.5D through-silicon interposer I/O with self-adaptive adjustment of output-voltage swing. ISLPED 2014: 93-98 - 2013
- [j1]Sai Manoj Pudukotai Dinakarrao, Hao Yu, Yang Shang, Chuan Seng Tan, Sung Kyu Lim:
Reliable 3-D Clock-Tree Synthesis Considering Nonlinear Capacitive TSV Model With Electrical-Thermal-Mechanical Coupling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(11): 1734-1747 (2013) - [c4]Jiacheng Wang, Shunli Ma, Sai Manoj Pudukotai Dinakarrao, Mingbin Yu, Roshan Weerasekera, Hao Yu:
High-speed and low-power 2.5D I/O circuits for memory-logic-integration by through-silicon interposer. 3DIC 2013: 1-4 - [c3]Sai Manoj Pudukotai Dinakarrao, Kanwen Wang, Hao Yu:
Peak power reduction and workload balancing by space-time multiplexing based demand-supply matching for 3D thousand-core microprocessor. DAC 2013: 175:1-175:6 - [c2]Sai Manoj Pudukotai Dinakarrao, Hao Yu:
Cyber-physical management for heterogeneously integrated 3D thousand-core on-chip microprocessor. ISCAS 2013: 533-536 - [c1]Yang Song, Hao Yu, Sai Manoj Pudukotai Dinakarrao, Guoyong Shi:
SRAM dynamic stability verification by reachability analysis with consideration of threshold voltage variation. ISPD 2013: 43-49
Coauthor Index
[i12] [j37] [j32] [c95] [c94] [c93] [c88] [j28] [j27] [j26] [c87] [c86] [c85] [c82] [c81] [c80] [c79] [c78] [c75] [c73] [i8] [i7] [j23] [j22] [j21] [j18] [c69] [c68] [c67] [c65] [c64] [c63] [c62] [c60] [c55] [c54] [c53] [c52] [j17] [c49] [c44] [c43] [c42] [c41] [c40] [i5] [i4] [i3] [j13] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c30] [c29] [i2] [i1] [c25] [c24] [c23] [c22] [c19] [c18] [c17]
[j37] [j32] [c93] [c89] [j28] [j27] [j26] [c87] [c86] [c85] [c82] [c79] [c78] [c73] [i7] [j23] [j22] [j18] [c69] [c68] [c67] [c66] [c65] [c64] [c62] [c60] [c55] [c53] [c52] [j17] [c49] [c43] [c42] [i3] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [c27] [i2] [i1] [c25] [c24] [c23] [c22] [c19] [c18] [c17]
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