Shikhar Tuli | DeepAI

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Featured Co-authors

Rajkumar Buyya
99 publications
Thomas L. Griffiths
79 publications
Niraj K. Jha
38 publications
Shreshth Tuli
33 publications
Nicholas R. Jennings
31 publications
Giuliano Casale
25 publications
Ishita Dasgupta
21 publications
Sukhpal Singh Gill
18 publications
Minxian Xu
15 publications
Manmeet Singh
12 publications
Erin Grant
10 publications

∙ 08/16/2023

BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration

Researchers constantly strive to explore larger and more complex search ...

0 Shikhar Tuli, et al. ∙

∙ 03/27/2023

TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference

Automated co-design of machine learning models and evaluation hardware i...

0 Shikhar Tuli, et al. ∙

∙ 03/24/2023

EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms

Automated design of efficient transformer models has recently attracted ...

0 Shikhar Tuli, et al. ∙

∙ 02/28/2023

AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers

Self-attention-based transformer models have achieved tremendous success...

0 Shikhar Tuli, et al. ∙

∙ 12/07/2022

CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework

Recently, automated co-design of machine learning (ML) models and accele...

0 Shikhar Tuli, et al. ∙

∙ 05/23/2022

FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?

The existence of a plethora of language models makes the problem of sele...

0 Shikhar Tuli, et al. ∙

∙ 10/06/2021

Generative Optimization Networks for Memory Efficient Data Generation

In standard generative deep learning models, such as autoencoders or GAN...

0 Shreshth Tuli, et al. ∙

∙ 05/15/2021

Are Convolutional Neural Networks or Transformers more like human vision?

Modern machine learning models for computer vision exceed humans in accu...

0 Shikhar Tuli, et al. ∙

∙ 05/06/2020

AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices

Recently, the Edge Computing paradigm has gained significant popularity ...

0 Shikhar Tuli, et al. ∙

∙ 10/21/2019

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

Cloud computing plays a critical role in modern society and enables a ra...

0 Sukhpal Singh Gill, et al. ∙

∙ 10/03/2019

APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices

Recently Edge Computing paradigm has gained significant popularity both ...

0 Shreshth Tuli, et al. ∙

∙ 11/29/2018

FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing

The requirement of supporting both latency sensitive and computing inten...

0 Shreshth Tuli, et al. ∙

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