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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
1322019
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
832019
An effective fusion and tile size model for optimizing image processing pipelines
A Jangda, U Bondhugula
ACM SIGPLAN Notices 53 (1), 261-275, 2018
422018
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
392019
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
37*2021
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
152015
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
122022
Unbounded superoptimization
A Jangda, G Yorsh
Proceedings of the 2017 ACM SIGPLAN International Symposium on New Ideas …, 2017
122017
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, 2023
11*2023
FastCollect: offloading generational garbage collection to integrated GPUs
Abhinav, R Nasre
Proceedings of the International Conference on Compilers, Architectures and …, 2016
8*2016
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
6*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
32019
Kivy cookbook
H Solis
Packt Publishing Ltd, 2015
32015
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
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
22016
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
A Jangda, S Maleki, MM Dehnavi, M Musuvathi, O Saarikivi
arXiv preprint arXiv:2305.13450, 2023
2023
Languages and Compilers for Writing Efficient High-Performance Computing Applications
A Jangda
2022
1.1 E cient Execution of Large-Scale Scientific Computation on CPUs and GPUs
A Jangda
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Articles 1–19