Vikram S. Mailthody

According to our database, Vikram S. Mailthody authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu

Proc. VLDB Endow., February, 2024

2023

CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs.

Jeongmin Brian Park, Zaid Qureshi, Vikram S. Mailthody, Andrew Gacek, Shunfan Shao, Mohammad Almasri, Isaac Gelado, Jinjun Xiong, Chris J. Newburn, I-Hsin Chung, Michael Garland, Nikolay Sakharnykh, Wen-Mei W. Hwu

CoRR, 2023

IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research.

Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FSSD: FPGA-Based Emulator for SSDs.

Luyang Yu, Yizhen Lu, Meghna Mandava, Edward Richter, Vikram Sharma Mailthody, Seungwon Min, Wen-Mei W. Hwu, Deming Chen

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture.

Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage.

Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu

CoRR, 2022

2021

Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19.

Vikram Sharma Mailthody, James Wei, Nicholas Chen, Mohammad Behnia, Ruihao Yao, Qihao Wang, Vedant Agrawal, Churan He, Lijian Wang, Leihao Chen, Amit Agarwal, Edward Richter, Wen-Mei Hwu, Christopher W. Fletcher, Jinjun Xiong, Andrew Miller, Sanjay Patel

CoRR, 2021

Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs.

Jinyang Li, Runyu Ma, Vikram Sharma Mailthody, Colin Samplawski, Benjamin M. Marlin, Songqing Chen, Shuochao Yao, Tarek F. Abdelzaher

Proceedings of the 2021 IEEE Military Communications Conference, 2021

2020

EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs.

Seungwon Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-Mei Hwu

Proc. VLDB Endow., 2020

Tearing Down the Memory Wall.

Zaid Qureshi, Vikram Sharma Mailthody, Seungwon Min, I-Hsin Chung, Jinjun Xiong, Wen-Mei W. Hwu

CoRR, 2020

Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020.

Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-mei W. Hwu

CoRR, 2020

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

Hyoungwook Nam, Seung Byum Seo, Vikram Sharma Mailthody, Noor Michael, Lan Li

CoRR, 2020

At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation.

Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-Mei Hwu

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

DeepStore: In-Storage Acceleration for Intelligent Queries.

Vikram Sharma Mailthody, Zaid Qureshi, Weixin Liang, Ziyan Feng, Simon Garcia De Gonzalo, Youjie Li, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei Hwu

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

Update on Triangle Counting on GPU.

Carl Pearson, Mohammad Almasri, Omer Anjum, Vikram S. Mailthody, Zaid Qureshi, Rakesh Nagi, Jinjun Xiong, Wen-Mei W. Hwu

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Update on k-truss Decomposition on GPU.

Mohammad Almasri, Omer Anjum, Carl Pearson, Zaid Qureshi, Vikram S. Mailthody, Rakesh Nagi, Jinjun Xiong, Wen-Mei W. Hwu

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

FlatFlash: Exploiting the Byte-Accessibility of SSDs within a Unified Memory-Storage Hierarchy.

Ahmed H. M. O. Abulila, Vikram Sharma Mailthody, Zaid Qureshi, Jian Huang, Nam Sung Kim, Jinjun Xiong, Wen-Mei W. Hwu

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition.

Vikram S. Mailthody, Ketan Date, Zaid Qureshi, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Triangle Counting and Truss Decomposition using FPGA.

Sitao Huang, Mohamed El-Hadedy, Cong Hao, Qin Li, Vikram S. Mailthody, Ketan Date, Jinjun Xiong, Deming Chen, Rakesh Nagi, Wen-Mei Hwu

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018