Rachit Rajat

According to our database, Rachit Rajat authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training.

Jonghytun Lee, Yongqin Wang, Rachit Rajat, Murali Annavaram

CoRR, January, 2025

PIGEON: A High Throughput Framework for Private Inference of Neural Networks using Secure Multiparty Computation.

Christopher Harth-Kitzerow, Yongqin Wang, Rachit Rajat, Georg Carle, Murali Annavaram

Proc. Priv. Enhancing Technol., 2025

2024

PIGEON: A Framework for Private Inference of Neural Networks.

Christopher Harth-Kitzerow, Yongqin Wang, Rachit Rajat, Georg Carle, Murali Annavaram

IACR Cryptol. ePrint Arch., 2024

Fastrack: Fast IO for Secure ML using GPU TEEs.

Yongqin Wang, Rachit Rajat, Jonghyun Lee, Tingting Tang, Murali Annavaram

CoRR, 2024

MPC-Pipe: an Efficient Pipeline Scheme for Semi-honest MPC Machine Learning.

Yongqin Wang, Rachit Rajat, Murali Annavaram

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables.

Rachit Rajat, Yongqin Wang, Murali Annavaram

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference.

Yongqin Wang, Rachit Rajat, Murali Annavaram

CoRR, 2022

PageORAM: An Efficient DRAM Page Aware ORAM Strategy.

Rachit Rajat, Yongqin Wang, Murali Annavaram

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2021

Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training.

Rachit Rajat, Yongqin Wang, Murali Annavaram

CoRR, 2021

2020

QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators.

Yuan Meng, Sanmukh R. Kuppannagari, Rachit Rajat, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019

IP Cores for Graph Kernels on FPGAs.

Sanmukh R. Kuppannagari, Rachit Rajat, Rajgopal Kannan, Aravind Dasu, Viktor K. Prasanna

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

A Flexible Design Automation Tool for Accelerating Quantized Spectral CNNs.

Rachit Rajat, Hanqing Zeng, Viktor K. Prasanna

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019