Expand-Map-Reduce: A Elementary Framework for Understanding Quantum Algorithms
Videet Acharya and Kunal Korgaonkar
IEEE International Conference on High-Performance Computing, Data, & Analytics (HIPC), 2024
[Quantum Programming Related] [Position Paper]
Quantum Convolutional Neural Network for Medical Image Classification: A Hybrid Model
Ria Khatoniar, Vishu Vyas, Videet Acharya, Anshul Saxena, Amit Saxena, Rahul Neiwal, Kunal Korgaonkar
https://ieeexplore.ieee.org/document/10545121/
International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
[Quantum Technologies and Algorithms Related] [Conference Paper]
Evaluating Infrastructure as Code: Key Metrics and Performance Benchmarks
Aditya Gupta, Paras Mittal, Kunal Korgaonkar
https://hotinfra24.github.io/
HotInfra Workshop at 30th Symposium of Operating Systems Principles 2024
[Infrastructure as Code and Cloud Computing Related]
Towards Mutable Smart Contracts in a Blockchain
Arnab K. Paul, Aishwarya Parab, Pranay Nandan Varshney, Nirmal Govindaraj, Kunal Korgaonkar
HiPC 2023 Student Research Symposium (HiPC SRS 2023)
Characteristics of Deep Learning Workloads in Industry, Academic Institutions and National Laboratories.
Natasha Meena Joseph, S. Sai Vineet, Kunal Korgaonkar, Arnab K. Paul;
https://dl.acm.org/doi/abs/10.1145/3571306.3571428
International Conference on Distributed Computing and Networking 2023
[Top Systems & Networking Venue]
A Data-Centric Approach for Analyzing Large-Scale Deep Learning Applications.
S. Sai Vineet, Natasha Meena Joseph, Kunal Korgaonkar, Arnab K. Paul;
https://dl.acm.org/doi/abs/10.1145/3571306.3571414
International Conference on Distributed Computing and Networking 2023
The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems;
R. Ronen, A Eliahu, N. Peled, O. Leitersdorf, K. Korgaonkar, A. Chattopadhyay, B. Perach, S. Kvatinsky;
https://dl.acm.org/doi/full/10.1145/3465371
ACM Journal on Emerging Technologies in Computing Systems (JETC) 2022
[Top Journal on Emerging Technologies]
VLSI-SoC: Design Trends
A Calimera, PE Gaillardon, Kunal Korgaonkar, S Kvatinsky, R Reis,
28th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2020
[As Co-Editor]
A Deluge of Processing-in-Memory Frameworks and How Analytical Modeling Could Help!;
K. Korgaonkar, R. Ronen, A. Chattopadhyay, S. Kvatinsky;
http://cseweb.ucsd.edu/~kkorgaon/papers/nvmw-2020-deluge-Of-PIM.pdf
Non-Volatile Memories Workshop (NVMW) 2020
The Bitlet Model: Defining a Litmus Test for the Bitwise Processing-in-Memory Paradigm;
K. Korgaonkar, R. Ronen, A. Chattopadhyay, S. Kvatinsky;
https://software.intel.com/sites/default/files/managed/3b/a6/session3-talk3.pdf
Compilers, Architecture and Tools Conference (CATC) 2019
[Industry Event] [On Invitation]
Vorpal: Vector Clock-Inspired Ordering For Large Persistent Memory Systems;
K. Korgaonkar, J. Izraelevitz, J. Zhao, S. Swanson;
https://dl.acm.org/doi/abs/10.1145/3293611.3331598
ACM’s Principles of Distributed Computing Conference (PODC) 2019
[Top Conference] [Acceptance rate: 29%]
To Cache Or To Bypass? A Fine Balance For Emerging Mem. Tech. Era;
K. Korgaonkar, I. Bhati, H. Liu, J. Gaur, S. Manipatruni, S. Subramoney, T. Karnik, S. Swanson, I. A. Young, H. Wang;
http://cseweb.ucsd.edu/~kkorgaon/papers/nvmw-2019-high-density-caches.pdf
Non-Volatile Memories Workshop (NVMW) 2019
Density Tradeoffs of NVM as a Replacement for SRAM LLCs;
K. Korgaonkar, I. Bhati, H. Liu, J. Gaur, S. Manipatruni, S. Subramoney, T. Karnik, S. Swanson, I. A. Young, H. Wang;
https://ieeexplore.ieee.org/document/8416837
ACM/IEEE’s International Symposium on Computer Architecture (ISCA) 2018
[Top Conference] [Top Journal of Computer Architecture - SIGARCH] [Acceptance rate: 17%]
Granular Computing: Blending Terabit Network with Terabyte Main Memories;
K. Korgaonkar, Shelby Thomas;
http://cseweb.ucsd.edu/~kkorgaon/papers/arm-research-2018-granular-computing.pdf
ARM Industry-Academia Research Summit 2018
[Industry Event] [On Invitation]
Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads;
S. Patil, Y. Kim, K. Korgaonkar, I. Awwal, T. Rosing;
https://link.springer.com/chapter/10.1007/978-3-319-29003-4_4
Springer LNICST’s Mobile Computing, Applications, and Services Conference (MobiCase) 2015
[Top Conference] [Acceptance rate: 37%]
CPU or GPU Bound?: In-Depth Case-Studies of Mobile Gaming Workloads;
K. Korgaonkar, K. Sankaranarayanan, S. Srinivas;
Intel Internal Research Report, 2014 (Confidential)
[Industry Impact] [Intel Internal Technical Report]
Implications of Shared-Data Synchronization Techniques on Multi-Core Energy Efficiency;
Gautham, K. Korgaonkar, Patanjali S., S. Balachandran and V. Kamakoti;
https://www.usenix.org/conference/hotpower12/workshop-program/presentation/gautham
Usenix’s Workshop on Power-Aware Computing and Systems (HotPower) 2012
[Top Usenix Event] [Acceptance rate: 25%]
Size-proportional signature sharing for transactional memory systems;
K. Korgaonkar, Kashyap G. and V. Kamakoti;
http://cseweb.ucsd.edu/~kkorgaon/papers/faspp-2012-sizeprop-signature-for-tm.pdf
Workshop on Future Architecture Support for Parallel Programming (FASPP) 2012
Reconstructing hardware transactional memory for workload optimized systems;
K. Korgaonkar, P. Jain, D. Tomar, K. Garimella and V. Kamakoti;
https://link.springer.com/chapter/10.1007/978-3-642-24151-2_1
Springer LNCS’s Advanced Parallel Processing Technologies Symposium (APPT) 2011
Thread synchronization: from mutual exclusion to transactional memory;
K. Korgaonkar and V. Kamakoti;
https://www.tandfonline.com/doi/abs/10.4103/0256-4602.83551
Institution of Electronics and Telecommunications Engineer (IETE) Review 2011
HTM Design Spaces: Complete Decoupling from Caches;
K. Korgaonkar, G. Kurian, M. Gautam and V. Kamakoti;
https://dl.acm.org/doi/10.1145/1531793.1531809
ACM’s Operating Systems Review (Position Paper) 2009
An Institute of Eminence
