Alex Renda

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Pruning Algorithms

Programming Language Constructs

Top Venues

Proc. ACM Program. Lang.

Publications

Logan Weber, Jesse Michel, Alex Renda, Michael Carbin
Learning to Compile Programs to Neural Networks. CoRR (2024)
Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh
COMET: Neural Cost Model Explanation Framework. MLSys (2024)
Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh
CoMEt: x86 Cost Model Explanation Framework. CoRR (2023)
Alex Renda, Yi Ding, Michael Carbin
Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs. Proc. ACM Program. Lang. 7 (OOPSLA2) (2023)
Alex Renda, Yi Ding, Michael Carbin
Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs. CoRR (2023)
Yi Ding, Alex Renda, Ahsan Pervaiz, Michael Carbin, Henry Hoffmann
Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression. CoRR (2022)
Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin
The Effect of Data Dimensionality on Neural Network Prunability. CoRR (2022)
Alex Renda, Yi Ding, Michael Carbin
Programming with Neural Surrogates of Programs. CoRR (2021)
Alex Renda, Yi Ding, Michael Carbin
Programming with neural surrogates of programs. Onward! (2021)
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates. CoRR (2020)
Riyadh Baghdadi, Abdelkader Nadir Debbagh, Kamel Abdous, Fatima-Zohra Benhamida, Alex Renda, Jonathan Elliott Frankle, Michael Carbin, Saman P. Amarasinghe
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning. CoRR (2020)
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates. MICRO (2020)
Alex Renda, Jonathan Frankle, Michael Carbin
Comparing Rewinding and Fine-tuning in Neural Network Pruning. ICLR (2020)
Alex Renda, Jonathan Frankle, Michael Carbin
Comparing Rewinding and Fine-tuning in Neural Network Pruning. CoRR (2020)
Yishen Chen, Ajay Brahmakshatriya, Charith Mendis, Alex Renda, Eric Atkinson, Ondrej Sýkora, Saman P. Amarasinghe, Michael Carbin
BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models. IISWC (2019)
Charith Mendis, Alex Renda, Saman P. Amarasinghe, Michael Carbin
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks. ICML (2019)
Alex Renda, Harrison Goldstein, Sarah Bird, Chris Quirk, Adrian Sampson
Abstractions for AI-Based User Interfaces and Systems. CoRR (2017)