DeadSpy: a tool to pinpoint program inefficiencies. - Milind Chabbi; John M. Mellor-Crummey (CGO, 2012)

On the efficacy of GPU-integrated MPI for scientific applications. - Ashwin M. Aji; Lokendra S. Panwar; Feng Ji; Milind Chabbi; Karthik Murthy; Pavan Balaji; Keith R. Bisset; James Dinan; Wu-chun Feng; John M. Mellor-Crummey; Xiaosong Ma; Rajeev Thakur (HPDC, 2013)

Integrating Asynchronous Task Parallelism with MPI. - Sanjay Chatterjee; Sagnak Tasirlar; Zoran Budimlic; Vincent Cavé; Milind Chabbi; Max Grossman; Vivek Sarkar; Yonghong Yan 001 (IPDPS, 2013)

Effective sampling-driven performance tools for GPU-accelerated supercomputers. - Milind Chabbi; Karthik Murthy; Michael W. Fagan; John M. Mellor-Crummey (SC, 2013)

Call Paths for Pin Tools. - Milind Chabbi; Xu Liu 001; John M. Mellor-Crummey (CGO, 2014)

Runtime Value Numbering: A Profiling Technique to Pinpoint Redundant Computations. - Shasha Wen; Xu Liu 001; Milind Chabbi (PACT, 2015)

High performance locks for multi-level NUMA systems. - Milind Chabbi; Michael W. Fagan; John M. Mellor-Crummey (PPoPP, 2015)

Barrier elision for production parallel programs. - Milind Chabbi; Wim Lavrijsen; Wibe de Jong; Koushik Sen; John M. Mellor-Crummey; Costin Iancu (PPoPP, 2015)

Contention-conscious, locality-preserving locks. - Milind Chabbi; John M. Mellor-Crummey (PPoPP, 2016)

Be my guest: MCS lock now welcomes guests. - Tianzheng Wang 001; Milind Chabbi; Hideaki Kimura 001 (PPoPP, 2016)

Correctness of Hierarchical MCS Locks with Timeout. - Milind Chabbi; Abdelhalim Amer; Shasha Wen; Xu Liu 001 (CoRR, 2016)

MPI-ACC: Accelerator-Aware MPI for Scientific Applications. - Ashwin M. Aji; Lokendra S. Panwar; Feng Ji; Karthik Murthy; Milind Chabbi; Pavan Balaji; Keith R. Bisset; James Dinan; Wu-chun Feng; John M. Mellor-Crummey; Xiaosong Ma; Rajeev Thakur (IEEE Trans. Parallel Distributed Syst., 2016)

REDSPY: Exploring Value Locality in Software. - Shasha Wen; Milind Chabbi; Xu Liu 001 (ASPLOS, 2017)

An Efficient Abortable-locking Protocol for Multi-level NUMA Systems. - Milind Chabbi; Abdelhalim Amer; Shasha Wen; Xu Liu 001 (PPoPP, 2017)

Path-Synchronous Performance Monitoring in HPC Interconnection Networks with Source-Code Attribution. - Adarsh Yoga; Milind Chabbi (PMBS@SC, 2017)

Watching for Software Inefficiencies with Witch. - Shasha Wen; Xu Liu 001; John Byrne; Milind Chabbi (ASPLOS, 2018)

Memory-Oriented Distributed Computing at Rack Scale. - Haris Volos 001; Kimberly Keeton; Yupu Zhang; Milind Chabbi; Se Kwon Lee; Mark Lillibridge; Yuvraj Patel; Wei Zhang 052 (SoCC, 2018)

Featherlight on-the-fly false-sharing detection. - Milind Chabbi; Shasha Wen; Xu Liu 001 (PPoPP, 2018)

An Evaluation of Vectorization and Cache Reuse Tradeoffs on Modern CPUs. - Du Shen; Milind Chabbi; Xu Liu 001 (PMAM@PPoPP, 2018)

Lock Contention Management in Multithreaded MPI. - Abdelhalim Amer; Huiwei Lu; Pavan Balaji; Milind Chabbi; Yanjie Wei; Jeff R. Hammond; Satoshi Matsuoka (ACM Trans. Parallel Comput., 2018)

Accelerated Genomics Data Processing using Memory-Driven Computing. - Matthias Becker 003; Hartmut Schultze; Thomas Ulas; Sharad Singhal; Joachim L. Schultze; Milind Chabbi; Stefanie Warnat-Herresthal; Umesh Worlikar; Shobhit Agrawal; Jaydeep Bhat; Jonas Schulte-Schrepping; Kevin E. Bassler; et al. (BIBM, 2019)

Featherlight Reuse-Distance Measurement. - Qingsen Wang; Xu Liu 001; Milind Chabbi (HPCA, 2019)

Redundant loads: a software inefficiency indicator. - Pengfei Su 001; Shasha Wen; Hailong Yang 002; Milind Chabbi; Xu Liu 001 (ICSE, 2019)

Language Modeling at Scale. - Md. Mostofa Ali Patwary; Milind Chabbi; Heewoo Jun; Jiaji Huang; Greg Diamos; Kenneth Church 001 (IPDPS, 2019)

Lightweight hardware transactional memory profiling. - Qingsen Wang; Pengfei Su 001; Milind Chabbi; Xu Liu 001 (PPoPP, 2019)

ComDetective: a lightweight communication detection tool for threads. - Muhammad Aditya Sasongko; Milind Chabbi; Palwisha Akhtar; Didem Unat (SC, 2019)

Pinpointing performance inefficiencies via lightweight variance profiling. - Pengfei Su 001; Shuyin Jiao; Milind Chabbi; Xu Liu 001 (SC, 2019)

Pinpointing performance inefficiencies in Java. - Pengfei Su 001; Qingsen Wang; Milind Chabbi; Xu Liu 001 (ESEC/SIGSOFT FSE, 2019)

Optimization of swift protocols. - Rajkishore Barik; Manu Sridharan; Murali Krishna Ramanathan; Milind Chabbi (Proc. ACM Program. Lang., 2019)

What every scientific programmer should know about compiler optimizations? - Jialiang Tan; Shuyin Jiao; Milind Chabbi; Xu Liu 001 (ICS, 2020)

DrCCTProf: a fine-grained call path profiler for ARM-based clusters. - Qidong Zhao; Xu Liu 001; Milind Chabbi (SC, 2020)

Efficient Abortable-locking Protocol for Multi-level NUMA Systems: Design and Correctness. - Milind Chabbi; Abdelhalim Amer; Xu Liu 001 (ACM Trans. Parallel Comput., 2020)

An Experience with Code-Size Optimization for Production iOS Mobile Applications. - Milind Chabbi; Jin Lin; Raj Barik (CGO, 2021)

Low-Overhead Reuse Distance Profiling Tool for Multicore. - Muhammad Aditya Sasongko; Milind Chabbi; Didem Unat (Euro-Par Workshops, 2021)

Optimistic Concurrency Control for Real-world Go Programs. - Zhizhou Zhang 002; Milind Chabbi; Adam Welc; Timothy Sherwood (USENIX ATC, 2021)

Optimistic Concurrency Control for Real-world Go Programs (Extended Version with Appendix). - Zhizhou Zhang 002; Milind Chabbi; Adam Welc; Timothy Sherwood (CoRR, 2021)

OJXPERF: Featherlight Object Replica Detection for Java Programs. - Bolun Li; Hao Xu 048; Qidong Zhao; Pengfei Su 001; Milind Chabbi; Shuyin Jiao; Xu Liu 001 (ICSE, 2022)

A study of real-world data races in Golang. - Milind Chabbi; Murali Krishna Ramanathan (PLDI, 2022)

CRISP: Critical Path Analysis of Large-Scale Microservice Architectures. - Zhizhou Zhang 002; Murali Krishna Ramanathan; Prithvi Raj; Abhishek Parwal; Timothy Sherwood; Milind Chabbi (USENIX ATC, 2022)

ReuseTracker: Fast Yet Accurate Multicore Reuse Distance Analyzer. - Muhammad Aditya Sasongko; Milind Chabbi; Mandana Bagheri-Marzijarani; Didem Unat (ACM Trans. Archit. Code Optim., 2022)

DJXPerf: Identifying Memory Inefficiencies via Object-Centric Profiling for Java. - Bolun Li; Pengfei Su 001; Milind Chabbi; Shuyin Jiao; Xu Liu 001 (CGO, 2023)

Protecting Locks Against Unbalanced Unlock(). - Vivek Shahare; Milind Chabbi; Nikhil Hegde (SPAA, 2023)

Precise event sampling-based data locality tools for AMD multicore architectures. - Muhammad Aditya Sasongko; Milind Chabbi; Paul H. J. Kelly; Didem Unat (Concurr. Comput. Pract. Exp., 2023)

Precise Event Sampling on AMD Versus Intel: Quantitative and Qualitative Comparison. - Muhammad Aditya Sasongko; Milind Chabbi; Paul H. J. Kelly; Didem Unat (IEEE Trans. Parallel Distributed Syst., 2023)

Unveiling and Vanquishing Goroutine Leaks in Enterprise Microservices: A Dynamic Analysis Approach. - Georgian-Vlad Saioc; Dmitriy Shirchenko; Milind Chabbi (CGO, 2024)

EasyView: Bringing Performance Profiles into Integrated Development Environments. - Qidong Zhao; Milind Chabbi; Xu Liu 001 (CGO, 2024)

The Tale of Errors in Microservices. - I-Ting Angelina Lee; Zhizhou Zhang 002; Abhishek Parwal; Milind Chabbi (Proc. ACM Meas. Anal. Comput. Syst., 2024)

Dynamic Partial Deadlock Detection and Recovery via Garbage Collection. - Georgian-Vlad Saioc; I-Ting Angelina Lee; Anders Møller; Milind Chabbi (ASPLOS (2), 2025)

The Tale of Errors in Microservices: Extended Abstract. - I-Ting Angelina Lee; Zhizhou Zhang 002; Abhishek Parwal; Milind Chabbi (SIGMETRICS (Abstracts), 2025)

DR.FIX: Automatically Fixing Data Races at Industry Scale. - Farnaz Behrang; Zhizhou Zhang 002; Georgian-Vlad Saioc; Peng Liu; Milind Chabbi (Proc. ACM Program. Lang., 2025)