Abhinav Jangda

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Lambda Calculus

Denotational Semantics

Programming Language

Top Venues

Publications

Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CGO (2024)
Abhinav Jangda, Mohit Yadav
Fast Kronecker Matrix-Matrix Multiplication on GPUs. CoRR (2024)
Abhinav Jangda, Mohit Yadav
Fast Kronecker Matrix-Matrix Multiplication on GPUs. PPoPP (2024)
Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CoRR (2023)
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
MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation. IEEE Trans. Software Eng. 49 (7) (2023)
Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Carolyn Jane Anderson, Michael Greenberg, Abhinav Jangda, Arjun Guha
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs. CoRR (2023)
Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
Breaking the computation and communication abstraction barrier in distributed machine learning workloads. ASPLOS (2022)
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
A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages. CoRR (2022)
Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini
Accelerating graph sampling for graph machine learning using GPUs. EuroSys (2021)
Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning. CoRR (2021)
Abhinav Jangda, Uday Bondhugula
An Effective Fusion and Tile Size Model for PolyMage. ACM Trans. Program. Lang. Syst. 42 (3) (2020)
Abhinav Jangda, Arjun Guha
Model-Based Warp Overlapped Tiling for Image Processing Programs on GPUs. PACT (2020)
Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini
NextDoor: GPU-Based Graph Sampling for Graph Machine Learning. CoRR (2020)
Abhinav Jangda, Bobby Powers, Emery D. Berger, Arjun Guha
Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code. login Usenix Mag. 44 (3) (2019)
Abhinav Jangda, Gaurav Anand
Predicting Variable Types in Dynamically Typed Programming Languages. CoRR (2019)
Phitchaya Mangpo Phothilimthana, Archibald Samuel Elliott, An Wang, Abhinav Jangda, Bastian Hagedorn, Henrik Barthels, Samuel J. Kaufman, Vinod Grover, Emina Torlak, Rastislav Bodík
Swizzle Inventor: Data Movement Synthesis for GPU Kernels. ASPLOS (2019)
Abhinav Jangda, Donald Pinckney, Samuel Baxter, Breanna Devore-McDonald, Joseph Spitzer, Yuriy Brun, Arjun Guha
Formal Foundations of Serverless Computing. CoRR (2019)
Abhinav Jangda, Bobby Powers, Arjun Guha, Emery D. Berger
Mind the Gap: Analyzing the Performance of WebAssembly vs. Native Code. CoRR (2019)
Abhinav Jangda, Bobby Powers, Emery D. Berger, Arjun Guha
Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code. USENIX Annual Technical Conference (2019)
Abhinav Jangda, Arjun Guha
Model-Based Warp-Level Tiling for Image Processing Programs on GPUs. CoRR (2019)
Abhinav Jangda, Donald Pinckney, Yuriy Brun, Arjun Guha
Formal foundations of serverless computing. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)
Abhinav Jangda, Uday Bondhugula
An effective fusion and tile size model for optimizing image processing pipelines. PPOPP (2018)
Abhinav Jangda, Mohit Mishra
RandHeap: Heap Randomization for Mitigating Heap Spray Attacks in Virtual Machines. PST (2017)
Abhinav Jangda, Greta Yorsh
Unbounded superoptimization. Onward! (2017)
Abhinav Jangda
Block-Level Parallelism in Parsing Block Structured Languages. CoRR (2015)
Abhinav Jangda, Mohit Mishra, Bjorn De Sutter
Adaptive Just-In-Time Code Diversification. MTD@CCS (2015)