Rohan Yadav

According to our database, Rohan Yadav authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Partitioning Unstructured Sparse Tensor Algebra for Load-Balanced Parallel Execution.

Atharva Chougule, Alexander J. Root, Rubens Lacouture, Bobby Yan, Rohan Yadav, Fredrik Kjolstad

CoRR, April, 2026

2025

Optimal Software Pipelining and Warp Specialization for Tensor Core GPUs.

Rupanshu Soi, Rohan Yadav, Fredrik Kjolstad, Alex Aiken, Maryam Mehri Dehnavi, Michael Garland, Michael Bauer

CoRR, December, 2025

On the Duality of Task and Actor Programming Models.

Rohan Yadav, Joseph Guman, Sean Treichler, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer

CoRR, August, 2025

Mapple: A Domain-Specific Language for Mapping Distributed Heterogeneous Parallel Programs.

Anjiang Wei, Rohan Yadav, Hang Song, Wonchan Lee, Ke Wang, Alex Aiken

CoRR, July, 2025

Task-Based Tensor Computations on Modern GPUs.

Rohan Yadav, Michael Garland, Alex Aiken, Michael Bauer

Proc. ACM Program. Lang., 2025

KDRSolvers: Scalable, Flexible, Task-Oriented Krylov Solvers.

David Kai Zhang, Rohan Yadav, Alex Aiken, Fredrik Kjolstad, Sean Treichler

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces.

Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Composing Distributed Computations Through Task and Kernel Fusion.

Rohan Yadav, Shiv Sundram, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

Automatic Tracing in Task-Based Runtime Systems.

Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Improving Parallel Program Performance Through DSL-Driven Code Generation with LLM Optimizers.

Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken

CoRR, 2024

2023

AutoMap.

Thiago S. F. X. Teixeira, Alexandra Henzinger, Rohan Yadav, Alex Aiken

Dataset, June, 2023

Legate Sparse: Distributed Sparse Computing in Python.

Rohan Yadav, Wonchan Lee, Melih Elibol, Manolis Papadakis, Taylor Lee Patti, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer

Proceedings of the International Conference for High Performance Computing, 2023

Automated Mapping of Task-Based Programs onto Distributed and Heterogeneous Machines.

Thiago S. F. X. Teixeira, Alexandra Henzinger, Rohan Yadav, Alex Aiken

Proceedings of the International Conference for High Performance Computing, 2023

2022

SpDISTAL: Compiling Distributed Sparse Tensor Computations.

Rohan Yadav, Alex Aiken, Fredrik Kjolstad

Proceedings of the SC22: International Conference for High Performance Computing, 2022

DISTAL: the distributed tensor algebra compiler.

Rohan Yadav, Alex Aiken, Fredrik Kjolstad

Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

2021

Compilation of sparse array programming models.

Rawn Henry, Olivia Hsu, Rohan Yadav, Stephen Chou, Kunle Olukotun, Saman P. Amarasinghe, Fredrik Kjolstad

Proc. ACM Program. Lang., 2021

2020

Disentanglement in nested-parallel programs.

Sam Westrick, Rohan Yadav, Matthew Fluet, Umut A. Acar

Proc. ACM Program. Lang., 2020

2019

A Parallel Algorithm for Subgraph Isomorphism (Brief Announcement).

Rohan Yadav, Umut A. Acar

Proceedings of the 31st ACM on Symposium on Parallelism in Algorithms and Architectures, 2019