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Abhinav Jangda
Abhinav Jangda
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code
A Jangda, B Powers, ED Berger, A Guha
2019 USENIX Annual Technical Conference (USENIX ATC 19), 107-120, 2019
1782019
Formal foundations of serverless computing
A Jangda, D Pinckney, Y Brun, A Guha
Proceedings of the ACM on Programming Languages 3 (OOPSLA), 1-26, 2019
1112019
MultiPL-E: a scalable and polyglot approach to benchmarking neural code generation
F Cassano, J Gouwar, D Nguyen, S Nguyen, L Phipps-Costin, D Pinckney, ...
IEEE Transactions on Software Engineering 49 (7), 3675-3691, 2023
96*2023
Accelerating graph sampling for graph machine learning using GPUs
A Jangda, S Polisetty, A Guha, M Serafini
Proceedings of the sixteenth European conference on computer systems, 311-326, 2021
652021
Swizzle inventor: data movement synthesis for GPU kernels
PM Phothilimthana, AS Elliott, A Wang, A Jangda, B Hagedorn, H Barthels, ...
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
552019
An effective fusion and tile size model for optimizing image processing pipelines
A Jangda, U Bondhugula
ACM SIGPLAN Notices 53 (1), 261-275, 2018
482018
Breaking the computation and communication abstraction barrier in distributed machine learning workloads
A Jangda, J Huang, G Liu, AHN Sabet, S Maleki, Y Miao, M Musuvathi, ...
Proceedings of the 27th ACM International Conference on Architectural …, 2022
322022
Multipl-e: A scalable and extensible approach to benchmarking neural code generation
F Cassano, J Gouwar, D Nguyen, S Nguyen, L Phipps-Costin, D Pinckney, ...
arXiv preprint arXiv:2208.08227, 2022
272022
Adaptive just-in-time code diversification
A Jangda, M Mishra, B De Sutter
Proceedings of the Second ACM Workshop on Moving Target Defense, 49-53, 2015
172015
Unbounded superoptimization
A Jangda, G Yorsh
Proceedings of the 2017 ACM SIGPLAN International Symposium on New Ideas …, 2017
142017
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
F Cassano, J Gouwar, F Lucchetti, C Schlesinger, CJ Anderson, ...
arXiv preprint arXiv:2308.09895, 2023
122023
FastCollect: offloading generational garbage collection to integrated GPUs
Abhinav, R Nasre
Proceedings of the International Conference on Compilers, Architectures and …, 2016
92016
Model-based warp overlapped tiling for image processing programs on GPUs
A Jangda, A Guha
Proceedings of the ACM International Conference on Parallel Architectures …, 2020
7*2020
An effective fusion and tile size model for polymage
A Jangda, U Bondhugula
ACM Transactions on Programming Languages and Systems (TOPLAS) 42 (3), 1-27, 2020
52020
Predicting variable types in dynamically typed programming languages
A Jangda, G Anand
arXiv preprint arXiv:1901.05138, 2019
52019
libmask: Protecting Browser JIT Engines from the Devil in the Constants
M Mishra, B Baudry
2016 14th Annual Conference on Privacy, Security and Trust (PST), 301-308, 2016
32016
RandHeap: Heap Randomization for Mitigating Heap Spray Attacks in Virtual Machines
A Jangda, M Mishra
2017 15th Annual Conference on Privacy, Security and Trust (PST), 169-16909, 2017
22017
Kivy cookbook
H Solis
Packt Publishing Ltd, 2015
22015
Fast Kronecker Matrix-Matrix Multiplication on GPUs
A Jangda, M Yadav
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and …, 2024
2024
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
A Jangda, S Maleki, MM Dehnavi, M Musuvathi, O Saarikivi
2024 IEEE/ACM International Symposium on Code Generation and Optimization …, 2024
2024
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