Sid Sankhe

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sid@manifoldtrading.com
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Hello! I am currently a researcher at Manifold Trading where I work on a wide variety of systems. Previously, I was an undergraduate studying Computer Science (with a focus on systems) and Statistics at the University of Pennsylvania Engineering and Wharton Schools.

I’m particularly interested in next generation data-intensive systems and spend a fair bit of time thinking about and researching them. To that end, I’ve been very fortunate to work closely with Prof. Boon Thau Loo, Prof. Vincent Liu and Prof. Qizhen Zhang at the University of Pennsylvania Distributed Systems Lab and the University of Toronto Far Data Lab.

Publications

PD3: Prefetching Data with DPUs for Disaggregated Memory
Sidharth Sankhe, F. Zhang, U. Chonee, S. Lim, J. Hu, J. Li and Q. Zhang
NSDI 2026 | To Appear

DAG of DAGs: Order-Fairness Made Practical
H. Nagda, Sidharth Sankhe, S. Sinha, K. Attarha, M. J. Amiri and B. T. Loo
SIGMOD 2026 | paper

Multiplexed Heterogeneous LLM Serving via Stage-Aligned Parallelism
T. Luo, K. Ng, Z. P. Khor, Sidharth Sankhe, B. T. Loo and V. Liu
SoCC 2025 | paper

Optimizing Data-Intensive Systems in Disaggregated Data Centers with Teleport
Q. Zhang, X. Chen, Sidharth Sankhe, Z. Zheng, K. Zhong, S. Angel, A. Chen, V. Liu and B. T. Loo
SIGMOD 2022 | paper

Teaching

Head Teaching Assistant, Operating Systems CIS 380, Penn
Teaching Assistant, Graduate Operating Systems CIS 548, Penn
Teaching Assistant, Graduate Distributed Systems CIS 505, Penn
Teaching Assistant, Graduate Networked Systems CIS 553, Penn
Teaching Assistant, Advanced Algorithms CIS 320, Penn
Teaching Assistant, Mathematical Foundations of CS CIS 160, Penn
Teaching Assistant, Programming Languages and Tech. CIS 120, Penn

(Last update: Dec. 15, 2025)