Milad Hashemi | DeepAI

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∙ 02/15/2023

Learning Performance-Improving Code Edits

The waning of Moore's Law has shifted the focus of the tech industry tow...

2 Aman Madaan, et al. ∙

∙ 10/13/2022

CUF: Continuous Upsampling Filters

Neural fields have rapidly been adopted for representing 3D signals, but...

0 Cristina Vasconcelos, et al. ∙

∙ 08/09/2022

Learning to Improve Code Efficiency

Improvements in the performance of computing systems, driven by Moore's ...

0 Binghong Chen, et al. ∙

∙ 10/20/2021

Data-Driven Offline Optimization For Architecting Hardware Accelerators

Industry has gradually moved towards application-specific hardware accel...

7 Aviral Kumar, et al. ∙

∙ 02/12/2021

Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks

Most graph neural networks (GNN) perform poorly in graphs where neighbor...

0 Yujun Yan, et al. ∙

∙ 02/08/2021

Oops I Took A Gradient: Scalable Sampling for Discrete Distributions

We propose a general and scalable approximate sampling strategy for prob...

2 Will Grathwohl, et al. ∙

∙ 02/02/2021

Apollo: Transferable Architecture Exploration

The looming end of Moore's Law and ascending use of deep learning drives...

6 Amir Yazdanbakhsh, et al. ∙

∙ 10/08/2020

No MCMC for me: Amortized sampling for fast and stable training of energy-based models

Energy-Based Models (EBMs) present a flexible and appealing way to repre...

6 Will Grathwohl, et al. ∙

∙ 10/05/2020

Learned Hardware/Software Co-Design of Neural Accelerators

The use of deep learning has grown at an exponential rate, giving rise t...

14 Zhan Shi, et al. ∙

∙ 06/29/2020

An Imitation Learning Approach for Cache Replacement

Program execution speed critically depends on increasing cache hits, as ...

8 Evan Zheran Liu, et al. ∙

∙ 06/15/2020

Neural Execution Engines: Learning to Execute Subroutines

A significant effort has been made to train neural networks that replica...

5 Yujun Yan, et al. ∙

∙ 06/17/2019

Learning Execution through Neural Code Fusion

As the performance of computer systems stagnates due to the end of Moore...

1 Zhan Shi, et al. ∙

∙ 03/06/2018

Learning Memory Access Patterns

The explosion in workload complexity and the recent slow-down in Moore's...

0 Milad Hashemi, et al. ∙

∙ 09/01/2016

On-Chip Mechanisms to Reduce Effective Memory Access Latency

This dissertation develops hardware that automatically reduces the effec...

0 Milad Hashemi, et al. ∙

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