Alex Renda
Alex Renda
PhD Student, MIT
Verified email at - Homepage
Cited by
Cited by
Comparing rewinding and fine-tuning in neural network pruning
A Renda, J Frankle, M Carbin
International Conference on Learning Representations, 2020
Ithemal: Accurate, portable and fast basic block throughput estimation using deep neural networks
C Mendis, A Renda, S Amarasinghe, M Carbin
International Conference on Machine Learning, 2019
Difftune: Optimizing cpu simulator parameters with learned differentiable surrogates
A Renda, Y Chen, C Mendis, M Carbin
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
BHive: A benchmark suite and measurement framework for validating x86-64 basic block performance models
Y Chen, A Brahmakshatriya, C Mendis, A Renda, E Atkinson, O Sıkora, ...
2019 IEEE International Symposium on Workload Characterization (IISWC), 167-177, 2019
TIRAMISU: A polyhedral compiler for dense and sparse deep learning
R Baghdadi, AN Debbagh, K Abdous, FZ Benhamida, A Renda, ...
arXiv preprint arXiv:2005.04091, 2020
Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression
Y Ding, A Renda, A Pervaiz, M Carbin, H Hoffmann
arXiv preprint arXiv:2204.04831, 2022
Programming Language Support for Natural Language Interaction
A Renda, H Goldstein, S Bird, C Quirk, A Sampson
2018 SysML conference, 2018
Programming with neural surrogates of programs
A Renda, Y Ding, M Carbin
Proceedings of the 2021 ACM SIGPLAN International Symposium on New Ideas …, 2021
Fast Binarized Neural Network Training with Partial Pre-training
A Renda, JW Fromm
Abstractions for AI-Based User Interfaces and Systems
A Renda, H Goldstein, S Bird, C Quirk, A Sampson
arXiv preprint arXiv:1709.04991, 2017
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