Rohan Yadav

21 papers A* 2A 3B 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Automatic Tracing in Task-Based Runtime Systems.
ASPLOS (1)
Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad
2025 — conf
Composing Distributed Computations Through Task and Kernel Fusion.
ASPLOS (1)
Rohan Yadav, Shiv Sundram, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad
2025 A* conf
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces.
ICML
Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken
2025 — conf
KDRSolvers: Scalable, Flexible, Task-Oriented Krylov Solvers.
SC Workshops
David Kai Zhang, Rohan Yadav, Alex Aiken, Fredrik Kjolstad, Sean Treichler
2025 J jnl
Mapple: A Domain-Specific Language for Mapping Distributed Heterogeneous Parallel Programs.
CoRR
Anjiang Wei, Rohan Yadav, Hang Song, Wonchan Lee, Ke Wang, Alex Aiken
2025 J jnl
On the Duality of Task and Actor Programming Models.
CoRR
Rohan Yadav, Joseph Guman, Sean Treichler, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer
2025 J jnl
Optimal Software Pipelining and Warp Specialization for Tensor Core GPUs.
CoRR
Rupanshu Soi, Rohan Yadav, Fredrik Kjolstad, Alex Aiken, Maryam Mehri Dehnavi, Michael Garland, Michael Bauer
2025 J jnl
Task-Based Tensor Computations on Modern GPUs.
CoRR
Rohan Yadav, Michael Garland, Alex Aiken, Michael Bauer
2025 J jnl
Task-Based Tensor Computations on Modern GPUs.
Proc. ACM Program. Lang.
Rohan Yadav, Michael Garland, Alex Aiken, Michael Bauer
2024 J jnl
Automatic Tracing in Task-Based Runtime Systems.
CoRR
Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad
2024 J jnl
Composing Distributed Computations Through Task and Kernel Fusion.
CoRR
Rohan Yadav, Shiv Sundram, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad
2024 J jnl
Improving Parallel Program Performance Through DSL-Driven Code Generation with LLM Optimizers.
CoRR
Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken
2023 A conf
Automated Mapping of Task-Based Programs onto Distributed and Heterogeneous Machines.
SC
Thiago S. F. X. Teixeira, Alexandra Henzinger, Rohan Yadav, Alex Aiken
2023 A conf
Legate Sparse: Distributed Sparse Computing in Python.
SC
Rohan Yadav, Wonchan Lee, Melih Elibol, Manolis Papadakis, Taylor Lee Patti, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer
2022 J jnl
DISTAL: The Distributed Tensor Algebra Compiler.
CoRR
Rohan Yadav, Alex Aiken, Fredrik Kjolstad
2022 A* conf
DISTAL: the distributed tensor algebra compiler.
PLDI
Rohan Yadav, Alex Aiken, Fredrik Kjolstad
2022 A conf
SpDISTAL: Compiling Distributed Sparse Tensor Computations.
SC
Rohan Yadav, Alex Aiken, Fredrik Kjolstad
2022 J jnl
SpDISTAL: Compiling Distributed Sparse Tensor Computations.
CoRR
Rohan Yadav, Alex Aiken, Fredrik Kjolstad
2021 J jnl
Compilation of sparse array programming models.
Proc. ACM Program. Lang.
Rawn Henry, Olivia Hsu, Rohan Yadav, Stephen Chou, Kunle Olukotun, Saman P. Amarasinghe, Fredrik Kjolstad
2020 J jnl
Disentanglement in nested-parallel programs.
Proc. ACM Program. Lang.
Sam Westrick, Rohan Yadav, Matthew Fluet, Umut A. Acar
2019 B conf
A Parallel Algorithm for Subgraph Isomorphism (Brief Announcement).
SPAA
Rohan Yadav, Umut A. Acar