Hello! I’m Arjun, a final-year Ph.D. student in the Computer Science department at the University of California, Merced. I am fortunate to be advised by Prof. Xiaoyi Lu. My interests are in designing efficient networked and storage systems in datacenter environments, focusing on leveraging DPUs/SmartNICs. I have also worked on projects related to storage disaggregation and persistent memory.

News

Publications

1. [HPDC’25] DPU-KV: On the Benefits of DPU Offloading for In-Memory Key-Value Stores at the Edge
   Arjun Kashyap, Yuke Li, and Xiaoyi Lu
   International ACM Symposium on High Performance and Distributed Computing (HPDC), July 2025
   (To appear)
2. [ICS’25] Understanding the Idiosyncrasies of Emerging BlueField DPUs
   Arjun Kashyap, Yuke Li, Darren Ng, and Xiaoyi Lu
   ACM International Conference on Supercomputing (ICS), June 2025
   [Paper]
3. [IPDPS’24] Accelerating Lossy and Lossless Compression on Emerging BlueField DPU Architectures
   Yuke Li, Arjun Kashyap, Weicong Chen, Yanfei Guo, and Xiaoyi Lu
   IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2024
   [Paper]
4. [IPDPS’24] NVMe-oPF: Designing Efficient Priority Schemes for NVMe-over-Fabrics with Multi-Tenancy Support
   Darren Ng, Andrew Lin, Arjun Kashyap, Guanpeng Li, and Xiaoyi Lu
   IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2024
   [Paper]
5. [IEEE Micro’24] Compression Analysis for BlueField-2/3 DPUs: Lossy and Lossless Perspectives
   Yuke Li, Arjun Kashyap, Yanfei Guo, and Xiaoyi Lu
   [Paper]
6. [SC’23] An Early Case Study with Multi-Tenancy Support in SPDK’s NVMe-over-Fabric Designs (Poster)
   Darren Ng, Charles Parkinson, Andrew Lin, Arjun Kashyap, and Xiaoyi Lu
   Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), November 2023
7. [ModSim’23] Early Experiences in Modeling Performance Implications of DPU-Offloaded Computation
   Weicong Chen, Yuke Li, Arjun Kashyap, and Xiaoyi Lu
   Workshop on Modeling & Simulation of Systems and Applications (ModSim), August 2023
8. [HOTI’23] Characterizing Lossy and Lossless Compression on Emerging BlueField DPU Architectures
   Yuke Li, Arjun Kashyap, Yanfei Guo, and Xiaoyi Lu
   IEEE Symposium on High-Performance Interconnects (HOTI), August 2023
   [Paper]

9. [HPDC’22] NVMe-oAF: Towards Adaptive NVMe-oF for IO-Intensive Workloads on HPC Cloud
   Arjun Kashyap and Xiaoyi Lu
   International ACM Symposium on High Performance and Distributed Computing (HPDC), June 2022
   [Paper]

10. [WORDS’21] Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap
    Xiaoyi Lu and Arjun Kashyap
    The Second Workshop On Resource Disaggregation and Serverless (WORDS), April 2021
    [Paper]

11. [VLDB’21] Understanding the Idiosyncrasies of Real Persistent Memory
    Shashank Gugnani, Arjun Kashyap, and Xiaoyi Lu
    International Conference on Very Large Data Bases (VLDB), Aug 2021
    [Paper] [Code]

12. [Bench’20] Impact of Commodity Networks on Storage Disaggregation with NVMe-oF
    Arjun Kashyap, Shashank Gugnani, and Xiaoyi Lu
    International Symposium on Benchmarking, Measuring and Optimizing (Bench), Nov 2020
    [Paper] [Video]