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 (HPEC, 2018)

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 006; Nam Sung Kim; Jinjun Xiong; Wen-Mei W. Hwu (ASPLOS, 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 (HPEC, 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 (HPEC, 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 006; Wen-Mei Hwu (MICRO, 2019)

Tearing Down the Memory Wall. - Zaid Qureshi; Vikram Sharma Mailthody; Seungwon Min; I-Hsin Chung; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 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)

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; et al. (CoRR, 2022)

GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. - Zaid Qureshi; Vikram Sharma Mailthody; Isaac Gelago; Seungwon Min; Amna Masood; Jeongmin Brian Park; Jinjun Xiong; Chris J. Newburn; Dmitri Vainbrand; I-Hsin Chung; Michael Garland; William J. Dally; et al. (Zenodo, 2022)

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; et al. (ASPLOS (2), 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; et al. (CoRR, 2023)

GMT: GPU Orchestrated Memory Tiering for the Big Data Era. - Chia-Hao Chang; Jihoon Han; Anand Sivasubramaniam; Vikram Sharma Mailthody; Zaid Qureshi; Wen-Mei Hwu (ASPLOS (3), 2024)

LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme. - Jeongmin Brian Park; Kun Wu 002; Vikram Sharma Mailthody; Zaid Qureshi; Scott A. Mahlke; Wen-Mei W. Hwu (CoRR, 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., 2024)