Search Results for author: Vikram Sharma Mailthody

Found 4 papers, 4 papers with code

Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses

1 code implementation28 Jun 2023 Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-mei Hwu

To address these issues, we propose the GPU Initiated Direct Storage Access (GIDS) dataloader, to enable GPU-oriented GNN training for large-scale graphs while efficiently utilizing all hardware resources, such as CPU memory, storage, and GPU memory with a hybrid data placement strategy.

Graph Sampling

At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation

1 code implementation28 Jul 2020 Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, JinJun Xiong, Rakesh Nagi, Wen-mei Hwu

This paper presents GPU performance optimization and scaling results for inference models of the Sparse Deep Neural Network Challenge 2020.

I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths

1 code implementation18 Jun 2020 Hyoungwook Nam, Seung Byum Seo, Vikram Sharma Mailthody, Noor Michael, Lan Li

The model inductively generalizes on a variety of algorithmic tasks where state-of-the-art Transformer models fail to do so.

Language Modelling Masked Language Modeling

Cannot find the paper you are looking for? You can Submit a new open access paper.