Abhinav Jangda

32 papers A* 2A 2B 3C 1Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
MSCCL++: Rethinking GPU Communication Abstractions for AI Inference.
ASPLOS (2)
Changho Hwang, Peng Cheng, Roshan Dathathri, Abhinav Jangda, Saeed Maleki, Madan Musuvathi, Olli Saarikivi, Aashaka Shah, Ziyue Yang, Binyang Li, Caio Rocha, Qinghua Zhou, Mahdieh Ghazimirsaeed, Sreevatsa Anantharamu, Jithin Jose
2025 J jnl
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants.
CoRR
Bozhi You, Irene Wang, Zelal Su Mustafaoglu, Abhinav Jangda, Angélica Moreira, Roshan Dathathri, Divya Mahajan, Keshav Pingali
2025 J jnl
MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications.
CoRR
Aashaka Shah, Abhinav Jangda, Binyang Li, Caio Rocha, Changho Hwang, Jithin Jose, Madan Musuvathi, Olli Saarikivi, Peng Cheng, Qinghua Zhou, Roshan Dathathri, Saeed Maleki, Ziyue Yang
2025 J jnl
PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations.
CoRR
Muhammad Usman Tariq, Abhinav Jangda, Angélica Moreira, Madan Musuvathi, Tyler Sorensen
2025 J jnl
Task Specific Pruning with LLM-Sieve: How Many Parameters Does Your Task Really Need?
CoRR
Waleed Reda, Abhinav Jangda, Krishna Chintalapudi
2024 A conf
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels.
CGO
Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
2024 B conf
Fast Kronecker Matrix-Matrix Multiplication on GPUs.
PPoPP
Abhinav Jangda, Mohit Yadav
2024 J jnl
Fast Kronecker Matrix-Matrix Multiplication on GPUs.
CoRR
Abhinav Jangda, Mohit Yadav
2024 J jnl
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs.
Proc. ACM Program. Lang.
Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Anders Freeman, Carolyn Jane Anderson, Molly Q. Feldman, Michael Greenberg, Abhinav Jangda, Arjun Guha
2023 J jnl
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels.
CoRR
Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
2023 J jnl
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs.
CoRR
Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Carolyn Jane Anderson, Michael Greenberg, Abhinav Jangda, Arjun Guha
2023 J jnl
MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation.
IEEE Trans. Software Eng.
Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda
2022 J jnl
A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages.
CoRR
Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda
2022 A* conf
Breaking the computation and communication abstraction barrier in distributed machine learning workloads.
ASPLOS
Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
2021 A conf
Accelerating graph sampling for graph machine learning using GPUs.
EuroSys
Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini
2021 J jnl
CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning.
CoRR
Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
2020 J jnl
An Effective Fusion and Tile Size Model for PolyMage.
ACM Trans. Program. Lang. Syst.
Abhinav Jangda, Uday Bondhugula
2020 B conf
Model-Based Warp Overlapped Tiling for Image Processing Programs on GPUs.
PACT
Abhinav Jangda, Arjun Guha
2020 J jnl
NextDoor: GPU-Based Graph Sampling for Graph Machine Learning.
CoRR
Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini
2019 J jnl
Formal Foundations of Serverless Computing.
CoRR
Abhinav Jangda, Donald Pinckney, Samuel Baxter, Breanna Devore-McDonald, Joseph Spitzer, Yuriy Brun, Arjun Guha
2019 J jnl
Formal foundations of serverless computing.
Proc. ACM Program. Lang.
Abhinav Jangda, Donald Pinckney, Yuriy Brun, Arjun Guha
2019 J jnl
Mind the Gap: Analyzing the Performance of WebAssembly vs. Native Code.
CoRR
Abhinav Jangda, Bobby Powers, Arjun Guha, Emery D. Berger
2019 J jnl
Model-Based Warp-Level Tiling for Image Processing Programs on GPUs.
CoRR
Abhinav Jangda, Arjun Guha
2019 — conf
Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code.
USENIX ATC
Abhinav Jangda, Bobby Powers, Emery D. Berger, Arjun Guha
2019 J jnl
Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code.
login Usenix Mag.
Abhinav Jangda, Bobby Powers, Emery D. Berger, Arjun Guha
2019 J jnl
Predicting Variable Types in Dynamically Typed Programming Languages.
CoRR
Abhinav Jangda, Gaurav Anand
2019 A* conf
Swizzle Inventor: Data Movement Synthesis for GPU Kernels.
ASPLOS
Phitchaya Mangpo Phothilimthana, Archibald Samuel Elliott, An Wang, Abhinav Jangda, Bastian Hagedorn, Henrik Barthels, Samuel J. Kaufman, Vinod Grover, Emina Torlak, Rastislav Bodík
2018 B conf
An effective fusion and tile size model for optimizing image processing pipelines.
PPoPP
Abhinav Jangda, Uday Bondhugula
2017 C conf
RandHeap: Heap Randomization for Mitigating Heap Spray Attacks in Virtual Machines.
PST
Abhinav Jangda, Mohit Mishra
2017 — conf
Unbounded superoptimization.
Onward!
Abhinav Jangda, Greta Yorsh
2015 — conf
Adaptive Just-In-Time Code Diversification.
MTD@CCS
Abhinav Jangda, Mohit Mishra, Bjorn De Sutter
2015 J jnl
Block-Level Parallelism in Parsing Block Structured Languages.
CoRR
Abhinav Jangda