I am Sreeharsha, a computer science PhD student at the University of Waterloo, advised by Prof. Samer Al-Kiswany. My research spans distributed systems, focusing on enabling the next generation of data center workloads by targeting scheduling, low-latency online data storage, efficient offline storage, and system reliability.
During my PhD, I interned with the Liquid Graph database team at LinkedIn. Before this, I worked at AMD for a few years on CPU performance (including the Ryzen series!). I spent a few summers during my undergraduate studies interning at Philips and the Indian Institute of Science.
Updates
- Mar 2025. I've been invited to present our deduplication work at the Wisconsin Systems Seminar.
- Feb 2025. I presented VectorCDC at FAST 2025 in Santa Clara, California.
- Jan 2025. I have been awarded the Cheriton Graduate Scholarship for 2024-2026!
Selected Papers
[1]
VectorCDC: Accelerating Data Deduplication with Vector Instructions
USENIX Conference on File and Storage Technologies (FAST), 2025
Sreeharsha Udayashankar, Abdelrahman Baba and Samer Al-Kiswany
[2]
Draconis: Network-Accelerated Scheduling for Microsecond-Scale Workloads
ACM SIGOPS European Conference on Computer Systems (EuroSys), 2024
Sreeharsha Udayashankar, Ashraf Abdel-Hadi, Ali Mashtizadeh and Samer Al-Kiswany
[3]
LoLKV: The Logless Linearizable Key-Value Storage System
USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2024
Ahmed Alquraan, Sreeharsha Udayashankar, Virendra Marathe, Bernard Wong and Samer Al-Kiswany
+14 more
Selected Patents
[1]
Systems and methods of secure deduplication for encrypted content
US Patent and Trademark Office, June 2023
Best Patent Award for 2023 - Acronis
Samer Al-Kiswany, Sreeharsha Udayashankar, Abdelrahman Baba, Serg Bell and Stanislav Protasov [2]
Systems and methods for performing network-accelerated scheduling
US Patent and Trademark Office, October 2023
Sreeharsha Udayashankar, Samer Al-Kiswany, Serg Bell and Stanislav Protasov [3]
Systems and methods for sequence-based data chunking for deduplication
US Patent and Trademark Office, December 2023
Sreeharsha Udayashankar, Abdelrahman Baba, Samer Al-Kiswany, Serg Bell and Stanislav Protasov+3 more