Kim Hazelwood | DeepAI

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∙ 09/11/2023

Large Language Models for Compiler Optimization

We explore the novel application of Large Language Models to code optimi...

0 Chris Cummins, et al. ∙

∙ 03/02/2023

BenchDirect: A Directed Language Model for Compiler Benchmarks

The exponential increase of hardware-software complexity has made it imp...

0 Foivos Tsimpourlas, et al. ∙

∙ 08/13/2022

BenchPress: A Deep Active Benchmark Generator

We develop BenchPress, the first ML benchmark generator for compilers th...

0 Foivos Tsimpourlas, et al. ∙

∙ 11/23/2021

Caviar: An E-graph Based TRS for Automatic Code Optimization

Term Rewriting Systems (TRSs) are used in compilers to simplify and prov...

0 Smail Kourta, et al. ∙

∙ 10/30/2021

Sustainable AI: Environmental Implications, Challenges and Opportunities

This paper explores the environmental impact of the super-linear growth ...

25 Carole-Jean Wu, et al. ∙

∙ 04/01/2021

Using Python for Model Inference in Deep Learning

Python has become the de-facto language for training deep neural network...

0 Zachary DeVito, et al. ∙

∙ 11/11/2020

Understanding Training Efficiency of Deep Learning Recommendation Models at Scale

The use of GPUs has proliferated for machine learning workflows and is n...

0 Bilge Acun, et al. ∙

∙ 12/30/2019

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing

Personalized recommendation systems leverage deep learning models and ac...

0 Liu Ke, et al. ∙

∙ 10/02/2019

MLPerf Training Benchmark

Machine learning is experiencing an explosion of software and hardware s...

6 Peter Mattson, et al. ∙

∙ 08/13/2019

Exploiting Parallelism Opportunities with Deep Learning Frameworks

State-of-the-art machine learning frameworks support a wide variety of d...

5 Yu Emma Wang, et al. ∙

∙ 06/06/2019

The Architectural Implications of Facebook's DNN-based Personalized Recommendation

The widespread application of deep learning has changed the landscape of...

0 Udit Gupta, et al. ∙

∙ 03/29/2019

SysML: The New Frontier of Machine Learning Systems

Machine learning (ML) techniques are enjoying rapidly increasing adoptio...

0 Alexander Ratner, et al. ∙

∙ 11/24/2018

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications

The application of deep learning techniques resulted in remarkable impro...

0 Jongsoo Park, et al. ∙

∙ 11/14/2018

Bandana: Using Non-volatile Memory for Storing Deep Learning Models

Typical large-scale recommender systems use deep learning models that ar...

0 Assaf Eisenman, et al. ∙

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