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Publications
Papers
- 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, and Sanjay Patel
Proceedings of NDSS CoronaDef 2021
[paper] [bibtex] [slides] [code] [video]
- I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths
Hyoungwook Nam, Seung Byum Seo, Vikram Sharma Mailthody, Noor Michael, Lan Li
Arxiv June 2020
[paper] [bibtex]
- EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs
Seung Won Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, and Wen-mei Hwu.
Proceedings of VLDB 2020
[paper] [bibtex] [code]
- Tearning Down The Memory Wall
Zaid Qureshi*, Vikram Sharma Mailthody*, Seung Won Min*, I-Hsin Chung, Jinjun Xiong, and Wen-mei Hwu.
TECHCON’20
[paper] [bibtex]
- DeepStore: In-Storage Acceleration for Intelligent Queries
Vikram Sharma Mailthody*, Zaid Qureshi*, Weixin Liang, Ziyan Feng, SimonGarcia de Gonzalo, Youjie Li, Hubertus Franke, Jinjun Xiong, Jian Huang, and Wen-mei Hwu.
MICRO’19 (acceptance rate: 79/344 = 22.9%)
[paper] [slides] [poster] [Lightning Talk] [bibtex]
- FlatFlash: Exploiting the Byte-Accessibility of SSDs Within a Unified Memory-Storage Hierarchy
Ahmed Abulila, Vikram Sharma Mailthody, Zaid Qureshi, Jian Huang, Nam Sung Kim, Jinjun Xiong, and Wen-mei Hwu.
ASPLOS’19 (acceptance rate: 74/350 = 21.1%)
[paper] [slides] [poster] [Lightning Talk] [bibtex]
Competition Papers and Posters
- At-scale Sparse Deep Neural Network with Efficient GPU implementation
Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-mei W Hwu.
HPEC’20 SparseDNN Graph Challenge Championship Award
[short paper] [bibtex] [code]
- Update on k-truss Decomposition on GPU
Mohammad Almasri, Omer Anjum, Carl Pearson, Zaid Qureshi, Vikram Sharma Mailthody, Rakesh Nagi, Jinjun Xiong, Wen-mei Hwu.
HPEC’19 Student Innovation Award
[short paper] [bibtex]
- Update on Triangle Counting on GPU
Carl Pearson, Mohammad Almasri, Omer Anjum, Vikram Sharma Mailthody, Zaid Qureshi, Rakesh Nagi, Jinjun Xiong, Wen-mei Hwu.
HPEC’19 Graph Challenge Honorable Mention
[short paper] [bibtex]
- Collaborative (CPU+ GPU) algorithms for triangle counting and truss decomposition
Vikram Sharma Mailthody, Ketan Date, Zaid Qureshi, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Wen-mei Hwu.
HPEC’18 Graph Challenge Finalist
[short paper] [poster] [bibtex]
- Triangle Counting and Truss Decomposition using FPGA
Sitao Huang, Mohamed El-Hadedy, Cong Hao, Qin Li, Vikram Sharma Mailthody, Ketan Date, Jinjun Xiong, Deming Chen, Rakesh Nagi, Wen-mei Hwu.
HPEC’18 Student Innovation Award
[short paper] [bibtex]
Talks
- Technical Leadership Secrets, BTC WiE GIS’20
- Architecture Implications of Model Parallelism on Large GPT2, NVIDIA’19
- Efficient Triangle Counting on GPUs, Boston, HPEC’18
Patents
- A system and methodology for implementing a Unified Memory-Storage Architecture with Byte-Addressable SSD
Ahmed Abulila, Vikram Sharma Mailthody, Zaid Qureshi, Jian Huang, Nam Sung Kim, Jinjun Xiong, Wen-Mei Hwu
US Patent No: US11074189.
- Systolic array of pipelined processing engines for implementing dynamic programming algorithms
Saurabh Patil, Srajudheen Makkadayil, Rekha Manjunath, Tarjinder Singh, Vikram Sharma Mailthody, Intel Corporation
US Patent No: US11003620.
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