Abhinav Jangda

According to our database, Abhinav Jangda authored at least 23 papers between 2015 and 2024.

Collaborative distances:

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

2024

Fast Kronecker Matrix-Matrix Multiplication on GPUs.

Abhinav Jangda, Mohit Yadav

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

A Framework for Fine-Grained Synchronization of Dependent GPU Kernels.

Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation.

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

IEEE Trans. Software Eng., July, 2023

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs.

Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Carolyn Jane Anderson, Michael Greenberg, Abhinav Jangda, Arjun Guha

CoRR, 2023

2022

A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages.

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

CoRR, 2022

Breaking the computation and communication abstraction barrier in distributed machine learning workloads.

Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning.

Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi

CoRR, 2021

Accelerating graph sampling for graph machine learning using GPUs.

Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

2020

An Effective Fusion and Tile Size Model for PolyMage.

Abhinav Jangda, Uday Bondhugula

ACM Trans. Program. Lang. Syst., 2020

NextDoor: GPU-Based Graph Sampling for Graph Machine Learning.

Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini

CoRR, 2020

Model-Based Warp Overlapped Tiling for Image Processing Programs on GPUs.

Abhinav Jangda, Arjun Guha

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code.

Abhinav Jangda, Bobby Powers, Emery D. Berger, Arjun Guha

login Usenix Mag., 2019

Formal foundations of serverless computing.

Abhinav Jangda, Donald Pinckney, Yuriy Brun, Arjun Guha

Proc. ACM Program. Lang., 2019

Model-Based Warp-Level Tiling for Image Processing Programs on GPUs.

Abhinav Jangda, Arjun Guha

CoRR, 2019

Formal Foundations of Serverless Computing.

Abhinav Jangda, Donald Pinckney, Samuel Baxter, Breanna Devore-McDonald, Joseph Spitzer, Yuriy Brun, Arjun Guha

CoRR, 2019

Mind the Gap: Analyzing the Performance of WebAssembly vs. Native Code.

Abhinav Jangda, Bobby Powers, Arjun Guha, Emery D. Berger

CoRR, 2019

Predicting Variable Types in Dynamically Typed Programming Languages.

Abhinav Jangda, Gaurav Anand

CoRR, 2019

Swizzle Inventor: Data Movement Synthesis for GPU Kernels.

Phitchaya Mangpo Phothilimthana, Archibald Samuel Elliott, An Wang, Abhinav Jangda, Bastian Hagedorn, Henrik Barthels, Samuel J. Kaufman, Vinod Grover, Emina Torlak, Rastislav Bodík

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

An effective fusion and tile size model for optimizing image processing pipelines.

Abhinav Jangda, Uday Bondhugula

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

2017

RandHeap: Heap Randomization for Mitigating Heap Spray Attacks in Virtual Machines.

Abhinav Jangda, Mohit Mishra

Proceedings of the 15th Annual Conference on Privacy, Security and Trust, 2017

Unbounded superoptimization.

Abhinav Jangda, Greta Yorsh

Proceedings of the 2017 ACM SIGPLAN International Symposium on New Ideas, 2017

2015

Block-Level Parallelism in Parsing Block Structured Languages.

Abhinav Jangda

CoRR, 2015

Adaptive Just-In-Time Code Diversification.

Abhinav Jangda, Mohit Mishra, Bjorn De Sutter

Proceedings of the Second ACM Workshop on Moving Target Defense, 2015