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Behnam Pourghassemi
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What-if analysis of page load time in web browsers using causal profiling
B Pourghassemi, A Amiri Sani, A Chandramowlishwaran
Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (2 …, 2019
392019
cudacr: An in-kernel application-level checkpoint/restart scheme for cuda-enabled gpus
B Pourghassemi, A Chandramowlishwaran
2017 IEEE International Conference on Cluster Computing (CLUSTER), 725-732, 2017
312017
Unsteady Navier-Stokes computations on GPU architectures
B Mostafazadeh Davani, F Marti, B Pourghassemi, F Liu, ...
23rd AIAA Computational Fluid Dynamics Conference, 4508, 2017
182017
AdPerf: Characterizing the performance of third-party ads
B Pourghassemi, J Bonecutter, Z Li, A Chandramowlishwaran
Proceedings of the ACM on Measurement and Analysis of Computing Systems 5 (1 …, 2021
102021
On the limits of parallelizing convolutional neural networks on gpus
B Pourghassemi, C Zhang, JH Lee, A Chandramowlishwaran
Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and …, 2020
102020
Brief announcement: On the limits of parallelizing convolutional neural networks on gpus
B Pourghassemi, C Zhang, JH Lee, A Chandramowlishwaran
arXiv preprint arXiv:2005.13823, 2020
22020
Only Relative Speed Matters: Virtual Causal Profiling
B Pourghassemi, AA Sani, A Chandramowlishwaran
ACM SIGMETRICS Performance Evaluation Review 48 (3), 7, 2020
22020
Platform for concurrent execution of GPU operations
BP Najafabadi, JH Lee, YS Ki
US Patent 11,620,510, 2023
12023
Scalable dynamic analysis of browsers for privacy and performance
B Pourghassemi
ACM SIGMETRICS Performance Evaluation Review 47 (3), 20-23, 2020
12020
Adaptive Tools for Performance Analysis of Large-Scale Applications
B Pourghassemi
University of California, Irvine, 2021
2021
cudaCR: An In-kernel Application-level Checkpoint/Restart Scheme for CUDA Applications
B Pourghassemi
University of California, Irvine, 2017
2017
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Articles 1–11