Stateless Clustering Using OSCAR and PERCEUS. - Abhishek Kulkarni; Andrew Lumsdaine (HPCS, 2008)

The design and implementation of a multi-level content-addressable checkpoint file system. - Abhishek Kulkarni; Adam Manzanares; Latchesar Ionkov; Michael Lang 003; Andrew Lumsdaine (HiPC, 2012)

A meta-scheduler for the par-monad: composable scheduling for the heterogeneous cloud. - Adam Foltzer; Abhishek Kulkarni; Rebecca Swords; Sajith Sasidharan; Eric Jiang; Ryan Newton (ICFP, 2012)

Optimizing latency and throughput for spawning processes on massively multicore processors. - Abhishek Kulkarni; Andrew Lumsdaine; Michael Lang 003; Latchesar Ionkov (ROSS@ICS, 2012)

Embrace, defend, extend: a methodology for embedding preexisting DSLs. - Abhishek Kulkarni; Ryan R. Newton (FPCDSL@ICFP, 2013)

Performance Modeling of Gyrokinetic Toroidal Simulations for a Many-Tasking Runtime System. - Matthew Anderson 003; Maciej Brodowicz; Abhishek Kulkarni; Thomas L. Sterling (PMBS@SC, 2013)

Using simulation to explore distributed key-value stores for extreme-scale system services. - Ke Wang 012; Abhishek Kulkarni; Michael Lang 003; Dorian C. Arnold; Ioan Raicu (SC, 2013)

Optimizing process creation and execution on multi-core architectures. - Abhishek Kulkarni; Latchesar Ionkov; Michael Lang 003; Andrew Lumsdaine (Int. J. High Perform. Comput. Appl., 2013)

Towards Exascale Co-design in a Runtime System. - Thomas L. Sterling; Matthew Anderson 003; P. Kevin Bohan; Maciej Brodowicz; Abhishek Kulkarni; Bo Zhang (EASC, 2014)

Dynamic Adaptation for Elastic System Services Using Virtual Servers. - Abhishek Kulkarni; Hugh Greenberg; Michael Lang 003; Andrew Lumsdaine (HiPC, 2015)

Efficient communication and collection with compact normal forms. - Edward Z. Yang; Giovanni Campagna; Ömer S. Agacan; Ahmed El-Hassany; Abhishek Kulkarni; Ryan R. Newton (ICFP, 2015)

Concurrent Cilk: Lazy Promotion from Tasks to Threads in C/C++. - Christopher S. Zakian; Timothy A. K. Zakian; Abhishek Kulkarni; Buddhika Chamith; Ryan R. Newton (LCPC, 2015)

Network-Managed Virtual Global Address Space for Message-driven Runtimes. - Abhishek Kulkarni; Luke Dalessandro; Ezra Kissel; Andrew Lumsdaine; Thomas L. Sterling; D. Martin Swany (HPDC, 2016)

Exploring the Design Tradeoffs for Extreme-Scale High-Performance Computing System Software. - Ke Wang 012; Abhishek Kulkarni; Michael Lang 003; Dorian C. Arnold; Ioan Raicu (IEEE Trans. Parallel Distributed Syst., 2016)

Efficiently decoding the 3D toric codes and welded codes on cubic lattices. - Abhishek Kulkarni; Pradeep Kiran Sarvepalli (CoRR, 2018)

Preliminary Study on Indoor Localization using Smartphone-Based IEEE 802.11mc. - Abhishek Kulkarni; Alvin Lim (CoNEXT Companion, 2019)

Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix. - Chaitanya Chinni; Abhishek Kulkarni; Dheeraj M. Pai; Kaushik Mitra; Pradeep Kiran Sarvepalli (ITW, 2019)

A Comparative Study of Asynchronous Many-Tasking Runtimes: Cilk, Charm++, ParalleX and AM++. - Abhishek Kulkarni; Andrew Lumsdaine (CoRR, 2019)

Predictive data locality optimization for higher-order tensor computations. - Tharindu Rusira Patabandi; Anand Venkat; Abhishek Kulkarni; Pushkar Ratnalikar; Mary W. Hall; Justin Gottschlich (MAPS@PLDI, 2021)

Resilient and Reliable Communication for First Responders with Ad-Hoc Network and MPTCP. - Yue Cui; Alvin Lim; Yufei Yan; Abhishek Kulkarni; Tianhang Lan (NaNA, 2022)

Automaton-Guided Curriculum Generation for Reinforcement Learning Agents. - Yash Shukla; Abhishek Kulkarni; Robert Wright; Alvaro Velasquez; Jivko Sinapov (ICAPS, 2023)

Everyday-Inspired Movies: Towards the Design of Movie Recommender Systems based on Everyday Life through Personal Social Media. - Abhishek Kulkarni; Larry Powell; Shaina Murphy; Nanjie Rao; Sharon Lynn Chu (INTERACT (3), 2023)

Towards an Adaptable Curriculum-Driven Block-based Learning Environment. - Christina Gardner-McCune; Yerika Jimenez; David Magda; Abhishek Kulkarni; Sharon Lynn Chu (SIGCSE (2), 2023)

Supporting End-to-End Coding and Use of Arduinos in a Formal Classroom Environment. - David Magda; Christina Gardner-McCune; Abhishek Kulkarni; Yerika Jimenez; Sharon Lynn Chu (VL/HCC, 2023)

Towards Lesson Planning Interfaces for Integration of Students' Out-of-Classroom Experiences. - Abhishek Kulkarni; Shaina Murphy; Cecelia Albright; Sharon Lynn Chu (ICALT, 2024)

Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents. - Yash Shukla; Tanushree Burman; Abhishek Kulkarni; Robert Wright; Alvaro Velasquez; Jivko Sinapov (ICAPS, 2024)

From Connections to Conversions: Enhanced Product Knowledge Graph Embeddings for E-commerce Recommendations. - Abhishek Kulkarni; Sumit Kumar Dutta; Sivaram Prasad Mudunuri; Kamiya Motwani; Rahul Ghosh (ICDM (Workshops), 2024)

The Integration of Computational Thinking and Making in the Classroom. - David Magda; Christina Gardner-McCune; Yerika Jimenez; Sharon Lynn Chu; Abhishek Kulkarni (SIGCSE (1), 2024)

Investigating Situated Learning Theory Through an Augmented Reality Mobile Assistant for Everyday STEM Learning. - Abhishek Kulkarni; Cecelia Albright; Pratik Kamble; Sharon Lynn Chu (VR Workshops, 2024)

Knowledge-based Context-aware Group Recommender System for Point of Interest recommendation. - Nargis Pervin; Abhishek Kulkarni; Ayush Adarsh; Shreya Som (Decis. Support Syst., 2025)

Deploying computation-based Making projects in authentic public school classrooms at scale: Lessons learned. - Abhishek Kulkarni; David Magda; Rebecca Ward; Yerika Jimenez; Monica Hernandez; Ting Liu; Christina Gardner-McCune; Francis K. H. Quek; Rebecca J. Schlegel; Sharon Lynn Chu (Int. J. Child Comput. Interact., 2025)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. - Luyi Ma; Wanjia Zhang; Kai Zhao; Abhishek Kulkarni; Lalitesh Morishetti; Anjana Ganesh; Ashish Ranjan; Aashika Padmanabhan; Jianpeng Xu; Jason Cho 001; Praveenkumar Kanumala; Kaushiki Nag; et al. (CoRR, 2025)