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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
OSDI’25
Published:
My random murmur about OSDI’25
Use Magic-Trace to profile your program
Published:
Tired of manually timing function invocations in the code, or using perf tool or FlameGraph? Give Magic-Trace a try!
publications
Medley: A Membership Service for IoT Networks
IEEE Transactions on Network and Service Management, 2022
Rui Yang, Jiangran Wang, Jiyu Hu, Shichu Zhu, Yifei Li, Indranil Gupta
Rethinking Erasure-Coding Libraries in the Age of Optimized Machine Learning
Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File System, HotStorage '24, 2024
Jiyu Hu, Jack Kosaian, K. V. Rashmi
LazyLog: A New Shared Log Abstraction for Low-Latency Applications
Proceedings of the 30th Symposium on Operating Systems Principles, SOSP '24, 2024
Xuhao Luo, Shreesha G. Bhat*, Jiyu Hu*, Ramnatthan Alagappan, Aishwarya Ganesan
Best Paper Award
Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering
Proceedings of the 19th USENIX Conference on Operating Systems Design and Implementation, OSDI '25, 2025
Shreesha G. Bhat, Tony Hong, Xuhao Luo, Jiyu Hu, Aishwarya Ganesan, Ramnatthan Alagappan
LazyLog: A New Shared Log Abstraction and Design for Modern Low-Latency Applications
ACM Transactions on Computer Systems, TOCS, 2025
Xuhao Luo, Shreesha G. Bhat*, Jiyu Hu*, Ramnatthan Alagappan, Aishwarya Ganesan
MEGALON: Efficient Data Sharing for Partly Coherent CXL Memory
Proceedings of the 20th USENIX Symposium on Operating Systems Design and Implementation, OSDI '26, 2026
Jiyu Hu, Seokjoo Cho*, Landon Johnson*, Kiran Hombal, Shreesha G. Bhat, Marcos K. Aguilera, Ramnatthan Alagappan, Aishwarya Ganesan
(To Appear)
Disk-Based LSMs: An Unexpectedly Good Index for Partly Coherent CXL Memory
Proceedings of the 32th Symposium on Operating Systems Principles, SOSP '26, 2026
Kiran Hombal, Jiyu Hu, Marcos K. Aguilera, Aishwarya Ganesan, Ramnatthan Alagappan,
(To Appear)
talks
Rethinking Erasure Coding Libraries in the Age of Optimized Machine Learning
Published:
PDL Retreat’22 for details