Aarati Kakaraparthy

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Iterative Deepening

Top Venues

Proc. VLDB Endow.

Publications

Aarati Kakaraparthy, Jignesh M. Patel
SplitDF: Splitting Dataframes for Memory-Efficient Data Analysis. Proc. VLDB Endow. 17 (9) (2024)
Aarati Kakaraparthy, Jignesh M. Patel
Fine-Grained Hardware Profiling - Are You Using the Right Tools? SIGMOD Rec. 53 (2) (2024)
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 (2022)
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) (2022)
Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek Narasayya
Tenant Placement in Over-subscribed Database-as-a-Service Clusters. Proc. VLDB Endow. 15 (11) (2022)
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)
Aarati Kakaraparthy, Jignesh M. Patel, Kwanghyun Park, Brian Kroth
Optimizing Databases by Learning Hidden Parameters of Solid State Drives. Proc. VLDB Endow. 13 (4) (2019)
Aarati Kakaraparthy, Abhay Venkatesh, Amar Phanishayee, Shivaram Venkataraman
The Case for Unifying Data Loading in Machine Learning Clusters. HotCloud (2019)