| 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 | 178 | 2019 |
| 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 | 111 | 2019 |
| 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 | 91* | 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 | 65 | 2021 |
| 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 | 55 | 2019 |
| An effective fusion and tile size model for optimizing image processing pipelines A Jangda, U Bondhugula ACM SIGPLAN Notices 53 (1), 261-275, 2018 | 48 | 2018 |
| 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 | 31 | 2022 |
| 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 | 24 | 2022 |
| 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 | 17 | 2015 |
| Unbounded superoptimization A Jangda, G Yorsh Proceedings of the 2017 ACM SIGPLAN International Symposium on New Ideas …, 2017 | 14 | 2017 |
| 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 | 12 | 2023 |
| FastCollect: offloading generational garbage collection to integrated GPUs Abhinav, R Nasre Proceedings of the International Conference on Compilers, Architectures and …, 2016 | 9 | 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 | 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 | 5 | 2020 |
| Predicting variable types in dynamically typed programming languages A Jangda, G Anand arXiv preprint arXiv:1901.05138, 2019 | 5 | 2019 |
| 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 | 3 | 2016 |
| 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 | 2 | 2017 |
| Kivy cookbook H Solis Packt Publishing Ltd, 2015 | 2 | 2015 |
| 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 |
Arjun GuhaNortheastern University在 northeastern.edu 的电子邮件经过验证
