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2020 – today
- 2024
[j5]Aarati Kakaraparthy, Jignesh M. Patel:
SplitDF: Splitting Dataframes for Memory-Efficient Data Analysis. Proc. VLDB Endow. 17(9): 2175-2184 (2024)- [j4]Aarati Kakaraparthy, Jignesh M. Patel:
Fine-Grained Hardware Profiling - Are You Using the Right Tools? SIGMOD Rec. 53(2): 38-43 (2024) - 2022
- [j3]Aarati Kakaraparthy, Jignesh M. Patel, Brian Kroth, Kwanghyun Park
:
VIP Hashing - Adapting to Skew in Popularity of Data on the Fly. Proc. VLDB Endow. 15(10): 1978-1990 (2022) - [j2]Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek R. Narasayya:
Tenant Placement in Over-subscribed Database-as-a-Service Clusters. Proc. VLDB Endow. 15(11): 2559-2571 (2022) - [i1]Aarati Kakaraparthy, Jignesh M. Patel, Brian P. Kroth, Kwanghyun Park:
VIP Hashing - Adapting to Skew in Popularity of Data on the Fly (extended version). CoRR abs/2206.12380 (2022) - 2021
- [c2]Zubeyr F. Eryilmaz, Aarati Kakaraparthy, Jignesh M. Patel, Rathijit Sen, Kwanghyun Park:
FPGA for Aggregate Processing: The Good, The Bad, and The Ugly. ICDE 2021: 1044-1055
2010 – 2019
- 2019
- [j1]Aarati Kakaraparthy, Jignesh M. Patel, Kwanghyun Park, Brian Kroth:
Optimizing Databases by Learning Hidden Parameters of Solid State Drives. Proc. VLDB Endow. 13(4): 519-532 (2019) - [c1]Aarati Kakaraparthy, Abhay Venkatesh, Amar Phanishayee, Shivaram Venkataraman:
The Case for Unifying Data Loading in Machine Learning Clusters. HotCloud 2019
Coauthor Index
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