Alex Renda

18 papers A* 4Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
COMET: Neural Cost Model Explanation Framework.
MLSys
Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh
2024 A* conf
Learning to Compile Programs to Neural Networks.
ICML
Logan Weber, Jesse Michel, Alex Renda, Michael Carbin
2024 J jnl
Learning to Compile Programs to Neural Networks.
CoRR
Logan Weber, Jesse Michel, Alex Renda, Michael Carbin
2023 J jnl
CoMEt: x86 Cost Model Explanation Framework.
CoRR
Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh
2023 J jnl
Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs.
CoRR
Alex Renda, Yi Ding, Michael Carbin
2023 J jnl
Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs.
Proc. ACM Program. Lang.
Alex Renda, Yi Ding, Michael Carbin
2022 J jnl
Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression.
CoRR
Yi Ding, Alex Renda, Ahsan Pervaiz, Michael Carbin, Henry Hoffmann
2022 J jnl
The Effect of Data Dimensionality on Neural Network Prunability.
CoRR
Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin
2021 J jnl
Programming with Neural Surrogates of Programs.
CoRR
Alex Renda, Yi Ding, Michael Carbin
2021 — conf
Programming with neural surrogates of programs.
Onward!
Alex Renda, Yi Ding, Michael Carbin
2020 A* conf
Comparing Rewinding and Fine-tuning in Neural Network Pruning.
ICLR
Alex Renda, Jonathan Frankle, Michael Carbin
2020 J jnl
Comparing Rewinding and Fine-tuning in Neural Network Pruning.
CoRR
Alex Renda, Jonathan Frankle, Michael Carbin
2020 A* conf
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates.
MICRO
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
2020 J jnl
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates.
CoRR
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
2020 J jnl
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning.
CoRR
Riyadh Baghdadi, Abdelkader Nadir Debbagh, Kamel Abdous, Fatima-Zohra Benhamida, Alex Renda, Jonathan Elliott Frankle, Michael Carbin, Saman P. Amarasinghe
2019 — conf
BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models.
IISWC
Yishen Chen, Ajay Brahmakshatriya, Charith Mendis, Alex Renda, Eric Atkinson, Ondrej Sýkora, Saman P. Amarasinghe, Michael Carbin
2019 A* conf
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks.
ICML
Charith Mendis, Alex Renda, Saman P. Amarasinghe, Michael Carbin
2017 J jnl
Abstractions for AI-Based User Interfaces and Systems.
CoRR
Alex Renda, Harrison Goldstein, Sarah Bird, Chris Quirk, Adrian Sampson