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ORCIDKarthik Sankaranarayanan
Person information
- affiliation: Microsoft
- affiliation (former): IBM Research, Bangalore, India
- affiliation (former): The Ohio State University, Columbus, USA
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2020 – today
- 2023
[c52]Rajinder Khurmi, Karthik Sankaranarayanan, Glenn Harvel:
A Data-driven Approach to Predict Maintenance Delays for Time-based Maintenance. IEEM 2023: 249-253- 2022
- [c51]Yannis Katsis, Saneem A. Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Mustafa Canim, Michael R. Glass, Alfio Gliozzo, Feifei Pan, Jaydeep Sen, Karthik Sankaranarayanan, Soumen Chakrabarti:
AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry. NAACL-HLT (Industry Papers) 2022: 305-314 - 2021
- [j22]Esther Heid
, Samuel Goldman, Karthik Sankaranarayanan, Connor W. Coley, Christoph Flamm, William H. Green Jr.:
EHreact: Extended Hasse Diagrams for the Extraction and Scoring of Enzymatic Reaction Templates. J. Chem. Inf. Model. 61(10): 4949-4961 (2021) - [c50]Ashish R. Mittal, Diptikalyan Saha, Parag Jain, Jaydeep Sen, Manasa Jammi, Karthik Sankaranarayanan:
Bootstrapping Chatbot Interfaces to Databases. COMAD/CODS 2021: 47-55 - [c49]Jaydeep Sen, Diptikalyan Saha, Ashish R. Mittal, Karthik Sankaranarayanan:
Optimizing Interpretation Generation in Natural Language Query Answering for Real Time End Users. COMAD/CODS 2021: 341-349 - [c48]Saneem A. Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Jaydeep Sen, Mustafa Canim, Soumen Chakrabarti, Alfio Gliozzo, Karthik Sankaranarayanan:
Topic Transferable Table Question Answering. EMNLP (1) 2021: 4159-4172 - [c47]Tejas I. Dhamecha, V. Rudra Murthy, Samarth Bharadwaj, Karthik Sankaranarayanan, Pushpak Bhattacharyya:
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages. EMNLP (1) 2021: 8584-8595 - [c46]Saneem A. Chemmengath, Soumava Paul, Samarth Bharadwaj, Suranjana Samanta, Karthik Sankaranarayanan:
Addressing Target Shift in Zero-shot Learning using Grouped Adversarial Learning. ICCVW 2021: 2368-2377 - [c45]Rajinder Khurmi, Karthik Sankaranarayanan, Glenn Harvel:
Condition Based Maintenance in Nuclear Power Plants: Limitations & Practicality. IEEM 2021: 1137-1141 - [c44]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan:
MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. Interspeech 2021: 2446-2450 - [i22]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham:
Multilingual and code-switching ASR challenges for low resource Indian languages. CoRR abs/2104.00235 (2021) - [i21]Yannis Katsis, Saneem A. Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Mustafa Canim, Michael R. Glass, Alfio Gliozzo, Feifei Pan, Jaydeep Sen, Karthik Sankaranarayanan, Soumen Chakrabarti:
AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry. CoRR abs/2106.12944 (2021) - [i20]Ashish R. Mittal, Samarth Bharadwaj, Shreya Khare, Saneem A. Chemmengath, Karthik Sankaranarayanan, Brian Kingsbury:
Representation based meta-learning for few-shot spoken intent recognition. CoRR abs/2106.15238 (2021) - [i19]Saneem Ahmed Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Jaydeep Sen, Mustafa Canim, Soumen Chakrabarti, Alfio Gliozzo, Karthik Sankaranarayanan:
Topic Transferable Table Question Answering. CoRR abs/2109.07377 (2021) - [i18]Tejas Indulal Dhamecha, V. Rudra Murthy, Samarth Bharadwaj, Karthik Sankaranarayanan, Pushpak Bhattacharyya:
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages. CoRR abs/2109.10534 (2021) - 2020
- [j21]Brandon Laughlin, Karthik Sankaranarayanan, Khalil El-Khatib:
A Service Architecture Using Machine Learning to Contextualize Anomaly Detection. J. Database Manag. 31(1): 64-84 (2020) - [j20]Jaydeep Sen, Chuan Lei, Abdul Quamar, Fatma Özcan, Vasilis Efthymiou, Ayushi Dalmia, Greg Stager, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan:
ATHENA++: Natural Language Querying for Complex Nested SQL Queries. Proc. VLDB Endow. 13(11): 2747-2759 (2020) - [c43]Jaydeep Sen, Tanaya Babtiwale, Kanishk Saxena, Yash Butala, Sumit Bhatia, Karthik Sankaranarayanan:
Schema Aware Semantic Reasoning for Interpreting Natural Language Queries in Enterprise Settings. COLING 2020: 1334-1345 - [c42]Ashish R. Mittal, Samarth Bharadwaj, Shreya Khare, Saneem A. Chemmengath, Karthik Sankaranarayanan, Brian Kingsbury:
Representation Based Meta-Learning for Few-Shot Spoken Intent Recognition. INTERSPEECH 2020: 4283-4287 - [i17]Saneem Ahmed Chemmengath, Samarth Bharadwaj, Soumava Paul, Suranjana Samanta, Karthik Sankaranarayanan:
Addressing target shift in zero-shot learning using grouped adversarial learning. CoRR abs/2003.00845 (2020) - [i16]Karthik Sankaranarayanan, Chit-Kwan Lin, Gautham N. Chinya:
Helper Without Threads: Customized Prefetching for Delinquent Irregular Loads. CoRR abs/2009.00202 (2020) - [i15]Abhijit Mishra, Md. Faisal Mahbub Chowdhury, Sagar Manohar, Dan Gutfreund, Karthik Sankaranarayanan:
Template Controllable keywords-to-text Generation. CoRR abs/2011.03722 (2020)
2010 – 2019
- 2019
- [j19]Anirban Laha, Parag Jain, Abhijit Mishra, Karthik Sankaranarayanan:
Scalable Micro-planned Generation of Discourse from Structured Data. Comput. Linguistics 45(4): 737-763 (2019) - [j18]S. Agrawal, Anush Sankaran, Anirban Laha, Saneem A. Chemmengath, Disha Shrivastava, Karthik Sankaranarayanan:
What is deemed computationally creative? IBM J. Res. Dev. 63(1): 3:1-3:12 (2019) - [j17]Amrita Saha, Ghulam Ahmed Ansari, Abhishek Laddha, Karthik Sankaranarayanan, Soumen Chakrabarti:
Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs. Trans. Assoc. Comput. Linguistics 7: 185-200 (2019) - [c41]Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan:
Unsupervised Controllable Text Formalization. AAAI 2019: 6554-6561 - [c40]Abhijit Mishra, Anirban Laha, Karthik Sankaranarayanan, Parag Jain, Saravanan Krishnan:
Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective. ACL (4) 2019: 43-48 - [c39]Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan:
Unsupervised Neural Text Simplification. ACL (1) 2019: 2058-2068 - [c38]Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish R. Mittal, Karthik Sankaranarayanan:
Unified Semantic Parsing with Weak Supervision. ACL (1) 2019: 4801-4810 - [c37]Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan:
A Modular Architecture for Unsupervised Sarcasm Generation. EMNLP/IJCNLP (1) 2019: 6143-6153 - [c36]Ralph Laite, Miguel Lozano Gonzalez, Karthik Sankaranarayanan:
Terrorist Group Classification of Historic Terrorist Attacks from The Global Terrorism Database. ICCSE 2019: 237-242 - [c35]Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti:
Neural Program Induction for KBQA Without Gold Programs or Query Annotations. IJCAI 2019: 4890-4896 - [c34]Stephen J. Tarsa, Rangeen Basu Roy Chowdhury, Julien Sebot, Gautham N. Chinya, Jayesh Gaur, Karthik Sankaranarayanan, Chit-Kwan Lin, Robert Chappell, Ronak Singhal, Hong Wang:
Post-silicon CPU adaptation made practical using machine learning. ISCA 2019: 14-26 - [c33]Jaydeep Sen, Fatma Ozcan, Abdul Quamar, Greg Stager, Ashish R. Mittal, Manasa Jammi, Chuan Lei, Diptikalyan Saha, Karthik Sankaranarayanan:
Natural Language Querying of Complex Business Intelligence Queries. SIGMOD Conference 2019: 1997-2000 - [c32]Brandon Laughlin, Christopher Collins, Karthik Sankaranarayanan, Khalil El-Khatib:
A Visual Analytics Framework for Adversarial Text Generation. VizSEC 2019: 1-10 - [i14]Priyanka Agrawal, Parag Jain, Ayushi Dalmia, Abhishek Bansal, Ashish R. Mittal, Karthik Sankaranarayanan:
Unified Semantic Parsing with Weak Supervision. CoRR abs/1906.05062 (2019) - [i13]Brandon Laughlin, Christopher Collins, Karthik Sankaranarayanan, Khalil El-Khatib:
A Visual Analytics Framework for Adversarial Text Generation. CoRR abs/1909.11202 (2019) - 2018
- [j16]Chuan Lei, Fatma Özcan, Abdul Quamar, Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan:
Ontology-Based Natural Language Query Interfaces for Data Exploration. IEEE Data Eng. Bull. 41(3): 52-63 (2018) - [j15]Manasa Jammi, Jaydeep Sen, Ashish R. Mittal, Sagar Verma, Vardaan Pahuja, Rema Ananthanarayanan, Pranay Lohia, Hima Karanam, Diptikalyan Saha, Karthik Sankaranarayanan:
Tooling Framework for Instantiating Natural Language Querying System. Proc. VLDB Endow. 11(12): 2014-2017 (2018) - [c31]Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan:
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. AAAI 2018: 696-704 - [c30]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. AAAI 2018: 705-713 - [c29]Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan:
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. ACL (1) 2018: 1683-1693 - [c28]Jaydeep Sen, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan:
Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems. IJCAI 2018: 4331-4337 - [c27]Sultan Basudan, Abdulrahman Alamer, Xiaodong Lin, Karthik Sankaranarayanan:
Efficient Deduplicated Reporting in Fog-Assisted Vehicular Crowdsensing. iThings/GreenCom/CPSCom/SmartData 2018: 463-469 - [c26]Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty:
A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization. NAACL-HLT (2) 2018: 622-627 - [c25]Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M. Khapra:
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. NAACL-HLT 2018: 1539-1550 - [c24]Anirban Laha, Saneem Ahmed Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy:
On Controllable Sparse Alternatives to Softmax. NeurIPS 2018: 6423-6433 - [c23]Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan:
An Ontology based Dialog Interface to Database. SIGMOD Conference 2018: 1749-1752 - [i12]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. CoRR abs/1801.10314 (2018) - [i11]Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M. Khapra:
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. CoRR abs/1804.07789 (2018) - [i10]Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty:
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization. CoRR abs/1804.07790 (2018) - [i9]Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan:
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. CoRR abs/1804.07927 (2018) - [i8]Disha Shrivastava, Abhijit Mishra, Karthik Sankaranarayanan:
Modeling Topical Coherence in Discourse without Supervision. CoRR abs/1809.00410 (2018) - [i7]Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan:
Unsupervised Controllable Text Formalization. CoRR abs/1809.04556 (2018) - [i6]Anirban Laha, Parag Jain, Abhijit Mishra, Karthik Sankaranarayanan:
Scalable Micro-planned Generation of Discourse from Structured Data. CoRR abs/1810.02889 (2018) - [i5]Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan:
Unsupervised Neural Text Simplification. CoRR abs/1810.07931 (2018) - [i4]Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy:
On Controllable Sparse Alternatives to Softmax. CoRR abs/1810.11975 (2018) - 2017
- [j14]Sultan Basudan, Xiaodong Lin, Karthik Sankaranarayanan:
A Privacy-Preserving Vehicular Crowdsensing-Based Road Surface Condition Monitoring System Using Fog Computing. IEEE Internet Things J. 4(3): 772-782 (2017) - [j13]Shreyas Bharadwaj, Laura Chiticariu, Marina Danilevsky, Samarth Dhingra, Samved Divekar, Arnaldo Carreno-Fuentes, Himanshu Gupta, Nitin Gupta, Sang-Don Han, Mauricio A. Hernández, Howard Ho, Parag Jain, Salil Joshi, Hima Karanam, Saravanan Krishnan, Rajasekar Krishnamurthy, Yunyao Li, Satishkumaar Manivannan, Ashish R. Mittal, Fatma Ozcan, Abdul Quamar, Poornima Raman, Diptikalyan Saha, Karthik Sankaranarayanan, Jaydeep Sen, Prithviraj Sen, Shivakumar Vaithyanathan, Mitesh Vasa, Hao Wang, Huaiyu Zhu:
Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. Proc. VLDB Endow. 10(12): 1965-1968 (2017) - [c22]Sultan Basudan, Xiaodong Lin, Karthik Sankaranarayanan:
An Efficient Compromised Node Revocation Scheme in Fog-Assisted Vehicular Crowdsensing. GLOBECOM 2017: 1-6 - [c21]Cameron Chodan, Pejman Mirza-Babaei, Karthik Sankaranarayanan:
Safety Does Not Happen by Accident, Can Gaming Help Improve Occupational Health and Safety in Organizations? HCI (17) 2017: 321-332 - [i3]Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan:
Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations. CoRR abs/1704.00200 (2017) - [i2]Disha Shrivastava, C. G. Saneem Ahmed, Anirban Laha, Karthik Sankaranarayanan:
A Machine Learning Approach for Evaluating Creative Artifacts. CoRR abs/1707.05499 (2017) - [i1]Parag Jain, Priyanka Agrawal, Abhijit Mishra, Mohak Sukhwani, Anirban Laha, Karthik Sankaranarayanan:
Story Generation from Sequence of Independent Short Descriptions. CoRR abs/1707.05501 (2017) - 2016
- [j12]Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq Minhas, Ashish R. Mittal, Fatma Özcan:
ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores. Proc. VLDB Endow. 9(12): 1209-1220 (2016) - [c20]Ralph Laite, Nataliya Portman, Karthik Sankaranarayanan:
Behavioral analysis of agent based service channel design using neural networks. WSC 2016: 3694-3695 - 2015
- [j11]Amit Dhurandhar, Karthik Sankaranarayanan:
Improving classification performance through selective instance completion. Mach. Learn. 100(2-3): 425-447 (2015) - [c19]Karthik Sankaranarayanan, Pejman Mirza-Babaei, Frederico Da Rocha Tomé Filho:
Video games to the rescue: Can game design make software based lab experiments engaging? GEM 2015: 1-4 - 2014
- [j10]Karthik Sankaranarayanan, Carlos Arturo Delgado Alvarez, Ann van Ackere, Erik Reimer Larsen:
The micro-dynamics of queuing: understanding the formation of queues. J. Simulation 8(4): 304-313 (2014) - [c18]Senthil Mani, Karthik Sankaranarayanan, Vibha Singhal Sinha, Premkumar T. Devanbu:
Panning requirement nuggets in stream of software maintenance tickets. SIGSOFT FSE 2014: 678-688 - 2013
- [j9]Karthik Sankaranarayanan, Brett H. Meyer, Wei Huang, Robert J. Ribando, Hossein Haj-Hariri, Mircea R. Stan, Kevin Skadron:
Architectural implications of spatial thermal filtering. Integr. 46(1): 44-56 (2013) - [c17]Karthik Sankaranarayanan, Amit Dhurandhar:
Intelligently querying incomplete instances for improving classification performance. CIKM 2013: 2169-2178 - 2012
- [c16]Karthik Sankaranarayanan, James W. Davis:
One-Class Multiple Instance Learning and Applications to Target Tracking. ACCV (3) 2012: 126-139 - [c15]Karthik Sankaranarayanan, Carlos Arturo Delgado Alvarez, Erik Reimer Larsen, Ann van Ackere:
Study on Queuing Behavior in a Multichannel Service Facility using Experimental Methods. ICORES 2012: 142-149 - [c14]Karthik Sankaranarayanan, James W. Davis:
Segmentation and scene modeling for MIL-based target localization. ICPR 2012: 3325-3328 - 2011
- [j8]Karthik Sankaranarayanan, Brett H. Meyer, Mircea R. Stan, Kevin Skadron:
Thermal benefit of multi-core floorplanning: A limits study. Sustain. Comput. Informatics Syst. 1(4): 286-293 (2011) - [c13]Karthik Sankaranarayanan, James W. Davis:
Object association across PTZ cameras using logistic MIL. CVPR 2011: 3433-3440 - [c12]Carlos Arturo Delgado Alvarez, Ann van Ackere, Karthik Sankaranarayanan, Erik Reimer Larsen:
Modelling Decisions Under Uncertainty In A Behavioural Queuing System. ECMS 2011: 34-40 - [c11]Karthik Sankaranarayanan, Ming-Ching Chang, Nils Krahnstoever:
Tracking gaze direction from far-field surveillance cameras. WACV 2011: 519-526 - 2010
- [c10]Karthik Sankaranarayanan, James W. Davis:
PTZ Camera Modeling and Panoramic View Generation via Focal Plane Mapping. ACCV (2) 2010: 580-593 - [c9]Karthik Sankaranarayanan, James W. Davis:
Learning Directed Intention-driven Activities using Co-Clustering. AVSS 2010: 400-407 - [c8]Karthik Sankaranarayanan, James W. Davis:
Attention-Based Target Localization Using Multiple Instance Learning. ISVC (1) 2010: 381-392
2000 – 2009
- 2008
- [j7]Wei Huang, Karthik Sankaranarayanan, Kevin Skadron, Robert J. Ribando, Mircea R. Stan:
Accurate, Pre-RTL Temperature-Aware Design Using a Parameterized, Geometric Thermal Model. IEEE Trans. Computers 57(9): 1277-1288 (2008) - [c7]Karthik Sankaranarayanan, James W. Davis:
A Fast Linear Registration Framework for Multi-camera GIS Coordination. AVSS 2008: 245-251 - [c6]Wei Huang, Mircea R. Stan, Karthik Sankaranarayanan, Robert J. Ribando, Kevin Skadron:
Many-core design from a thermal perspective. DAC 2008: 746-749 - [c5]Karthik Sankaranarayanan, James W. Davis:
An Efficient Active Camera Model for Video Surveillance. WACV 2008: 1-7 - 2006
- [j6]Wei Huang, Shougata Ghosh, Sivakumar Velusamy, Karthik Sankaranarayanan, Kevin Skadron, Mircea R. Stan:
HotSpot: A Compact Thermal Modeling Methodology for Early-Stage VLSI Design. IEEE Trans. Very Large Scale Integr. Syst. 14(5): 501-513 (2006) - 2005
- [j5]Karthik Sankaranarayanan, Sivakumar Velusamy, Mircea R. Stan, Kevin Skadron:
A Case for Thermal-Aware Floorplanning at the Microarchitectural Level. J. Instr. Level Parallelism 7 (2005) - 2004
- [j4]Kevin Skadron, Mircea R. Stan, Karthik Sankaranarayanan, Wei Huang, Sivakumar Velusamy, David Tarjan:
Temperature-aware microarchitecture: Modeling and implementation. ACM Trans. Archit. Code Optim. 1(1): 94-125 (2004) - [j3]Karthik Sankaranarayanan, Kevin Skadron:
Profile-based adaptation for cache decay. ACM Trans. Archit. Code Optim. 1(3): 305-322 (2004) - [c4]Wei Huang, Mircea R. Stan, Kevin Skadron, Karthik Sankaranarayanan, Shougata Ghosh, Sivakumar Velusamy:
Compact thermal modeling for temperature-aware design. DAC 2004: 878-883 - [c3]Yingmin Li, Dharmesh Parikh, Yan Zhang, Karthik Sankaranarayanan, Mircea R. Stan, Kevin Skadron:
State-Preserving vs. Non-State-Preserving Leakage Control in Caches. DATE 2004: 22-29 - 2003
- [j2]Kevin Skadron, Mircea R. Stan, Wei Huang, Sivakumar Velusamy, Karthik Sankaranarayanan, David Tarjan:
Temperature-Aware Computer Systems: Opportunities and Challenges. IEEE Micro 23(6): 52-61 (2003) - [j1]Mircea R. Stan, Kevin Skadron, Marco Barcella, Wei Huang, Karthik Sankaranarayanan, Sivakumar Velusamy:
HotSpot: a dynamic compact thermal model at the processor-architecture level. Microelectron. J. 34(12): 1153-1165 (2003) - [c2]Kevin Skadron, Mircea R. Stan, Wei Huang, Sivakumar Velusamy, Karthik Sankaranarayanan, David Tarjan:
Temperature-Aware Microarchitecture. ISCA 2003: 2-13 - 2001
- [c1]Ranjani Parthasarathi, Easwaran Raman, Karthik Sankaranarayanan, Lakshmi N. Chakrapani:
A Reconfigurable Co-Processor for Variable Long Precision Arithmetic Using Indian Algorithms. FCCM 2001: 71-80
Coauthor Index
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