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Publication search results
found 83 matches
- 2024
- Brett M. Bode, David King, Celso L. Mendes, William T. Kramer, Saurabh Jha, Roger Ford, Justin Davis, Steven Dramstad:
Blue Waters system and component reliability. Concurr. Comput. Pract. Exp. 36(8) (2024) - Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev:
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. Future Gener. Comput. Syst. 160: 666-710 (2024) - Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow:
SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration. CLOUD 2024: 291-301 - Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam, Jerrold Leichter, Yu Deng, Daby M. Sow:
Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization. AAAI 2024: 22990-22996 - Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. ACL (1) 2024: 15789-15809 - Shengkun Cui, Saurabh Jha, Ziheng Chen, Zbigniew T. Kalbarczvk, Ravishankar K. Iyer:
iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes. DSN 2024: 142-155 - Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz:
Fault Localization Using Interventional Causal Learning for Cloud-Native Applications. DSN-S 2024: 141-147 - Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
When Green Computing Meets Performance and Resilience SLOs. DSN-S 2024: 17-22 - Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
Power-aware Deep Learning Model Serving with μ-Serve. USENIX ATC 2024: 75-93 - Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. CoRR abs/2402.00838 (2024) - Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction. CoRR abs/2404.08509 (2024) - Nishant Saurabh, Pradeep Kumar Mantha, Florian J. Kiwit, Shantenu Jha, André Luckow:
Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications. CoRR abs/2405.07333 (2024) - Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving. CoRR abs/2407.00047 (2024) - 2023
- Navneet Kaur, Sahil Verma, Kavita, N. Z. Jhanjhi, Saurabh Singh, Rania M. Ghoniem, Sayan Kumar Ray:
Enhanced QoS-Aware Routing Protocol for Delay Sensitive Data in Wireless Body Area Networks. IEEE Access 11: 106000-106012 (2023) - Saurabh Adhikari, Tushar Kanti Gangopadhayay, Souvik Pal, D. Akila, Mamoona Humayun, Majed Alfayad, N. Z. Jhanjhi:
A Novel Machine Learning-Based Hand Gesture Recognition Using HCI on IoT Assisted Cloud Platform. Comput. Syst. Sci. Eng. 46(2): 2123-2140 (2023) - Abhishek Kumar Jha, Saurabh Kumar:
'Don't Fool Me, as It Is Your Loss' ? Impact of Deception on Information Privacy. J. Organ. Comput. Electron. Commer. 33(3-4): 117-132 (2023) - Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz:
Fault Injection Based Interventional Causal Learning for Distributed Applications. AAAI 2023: 15738-15744 - Xi Yang, Saurabh Jha, Paulito Palmes, Bekir O. Turkkan, Gerard Vanloo, Chandra Narayanaswami, Larisa Shwartz:
Meta-learning Generalized AIOps Models for Multi-cloud Computer using Digital Twins. CASCON 2023: 206-210 - Saurabh Basu, Suvam Suvabrata Behera, Sandeep Sharma, Anugandula Naveen Kumar, Sumit Kumar Jha, Akshay Dawar, Manish Bhaskar, Achinta Roy, Niraj Kant Kushwaha, Sabyasachi Majumdar, Smriti Sachdev, Pankaj Kumar Dalela:
A Multi-modal Approach Towards Public Alerting and Effective Communication in Disaster Scenarios: Implementation in the Indian Context. ITDRR 2023: 200-216 - Nishant Saurabh, Shantenu Jha, André Luckow:
A Conceptual Architecture for a Quantum-HPC Middleware. QSW 2023: 116-127 - Nishant Saurabh, Shantenu Jha, André Luckow:
A Conceptual Architecture for a Quantum-HPC Middleware. CoRR abs/2308.06608 (2023) - 2022
- R. Durga, E. Poovammal, Kadiyala Ramana, Rutvij H. Jhaveri, Saurabh Singh, Byungun Yoon:
CES Blocks - A Novel Chaotic Encryption Schemes-Based Blockchain System for an IoT Environment. IEEE Access 10: 11354-11371 (2022) - Sanjay Kumar, Pradipta Paul, Pardeep Yadav, Ridhima Kaul, S. S. Maitra, Saurabh Kumar Jha, Ali Chaari:
A multi-targeted approach to identify potential flavonoids against three targets in the SARS-CoV-2 life cycle. Comput. Biol. Medicine 142: 105231 (2022) - Hameed Khan, Kamal K. Kushwah, Muni Raj Maurya, Saurabh Singh, Prashant Jha, Sujeet K. Mahobia, Sanjay Soni, Subham Sahu, Kishor Kumar Sadasivuni:
Machine learning driven intelligent and self adaptive system for traffic management in smart cities. Computing 104(5): 1203-1217 (2022) - Saurabh Jha, Ashok Kumar Mehta:
An evolutionary algorithm based feature selection and fuzzy rule reduction technique for the prediction of skin cancer. Concurr. Comput. Pract. Exp. 34(5) (2022) - Bentolhoda Jafary, Saurabh Jha, Lance Fiondella, Ravishankar K. Iyer:
Data-Driven Application-Oriented Reliability Model of a High-Performance Computing System. IEEE Trans. Reliab. 71(2): 603-615 (2022) - Jesus Rios, Saurabh Jha, Laura Shwartz:
Localizing and Explaining Faults in Microservices Using Distributed Tracing. CLOUD 2022: 489-499 - Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems. DSN 2022: 88-100 - Archit Patke, Haoran Qiu, Saurabh Jha, Srikumar Venugopal, Michele Gazzetti, Christian Pinto, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Evaluating Hardware Memory Disaggregation under Delay and Contention. IPDPS Workshops 2022: 1221-1227 - Saurabh Basu, Suvam Suvabrata Behera, Sandeep Sharma, Anugandula Naveen Kumar, Sumit Kumar Jha, Sabyasachi Majumdar, Niraj Kant Kushwaha, Arun Yadav, Pankaj Kumar Dalela:
COVID-19 Sāvdhān: Harnessing the Telecom Infrastructure for COVID-19 Management. ITDRR 2022: 101-117
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