Deepstore: In-storage acceleration for intelligent queries VS Mailthody, Z Qureshi, W Liang, Z Feng, SG De Gonzalo, Y Li, H Franke, ... Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 74 | 2019 |
Flatflash: Exploiting the byte-accessibility of ssds within a unified memory-storage hierarchy A Abulila, VS Mailthody, Z Qureshi, J Huang, NS Kim, J Xiong, W Hwu Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 73 | 2019 |
EMOGI: Efficient memory-access for out-of-memory graph-traversal in GPUs SW Min, VS Mailthody, Z Qureshi, J Xiong, E Ebrahimi, W Hwu arXiv preprint arXiv:2006.06890, 2020 | 47 | 2020 |
Collaborative (CPU+ GPU) algorithms for triangle counting and truss decomposition VS Mailthody, K Date, Z Qureshi, C Pearson, R Nagi, J Xiong, W Hwu 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018 | 36 | 2018 |
Update on k-truss decomposition on gpu M Almasri, O Anjum, C Pearson, Z Qureshi, VS Mailthody, R Nagi, J Xiong, ... 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019 | 32 | 2019 |
Update on triangle counting on GPU C Pearson, M Almasri, O Anjum, VS Mailthody, Z Qureshi, R Nagi, J Xiong, ... 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019 | 20 | 2019 |
GPU-initiated on-demand high-throughput storage access in the BaM system architecture Z Qureshi, VS Mailthody, I Gelado, S Min, A Masood, J Park, J Xiong, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 13 | 2023 |
Tearing down the memory wall Z Qureshi, VS Mailthody, SW Min, I Chung, J Xiong, W Hwu arXiv preprint arXiv:2008.10169, 2020 | 12 | 2020 |
BaM: A case for enabling fine-grain high throughput GPU-orchestrated access to storage Z Qureshi, VS Mailthody, I Gelado, SW Min, A Masood, J Park, J Xiong, ... arXiv preprint arXiv:2203.04910, 2022 | 11 | 2022 |
Infrastructure to Enable and Exploit GPU Orchestrated High-Throughput Storage Access on GPUs Z Qureshi Ph. D. dissertation, University of Illinois Urbana-Champaign, 2022 | 5 | 2022 |
Accelerating sampling and aggregation operations in gnn frameworks with gpu initiated direct storage accesses JB Park, VS Mailthody, Z Qureshi, W Hwu arXiv preprint arXiv:2306.16384, 2023 | 4 | 2023 |
Crash recoverability for graphics processing units (GPU) in a computing environment IH Chung, Z Qureshi, JJ Xiong, H Franke US Patent 11,016,861, 2021 | 3 | 2021 |
GMT: GPU Orchestrated Memory Tiering for the Big Data Era CH Chang, J Han, A Sivasubramaniam, V Sharma Mailthody, Z Qureshi, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | | 2024 |
CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs J Park, Z Qureshi, V Mailthody, A Gacek, S Shao, M AlMasri, I Gelado, ... arXiv preprint arXiv:2307.03760, 2023 | | 2023 |
Infrastructure to enable and exploit GPU orchestrated high-throughput storage access Z Qureshi University of Illinois at Urbana-Champaign, 2022 | | 2022 |
FlatFlash system for byte granularity accessibility of memory in a unified memory-storage hierarchy A Abulila, VS MAILTHODY, Z Qureshi, J Huang, S Nam, JJ Xiong, W Hwu US Patent 11,074,189, 2021 | | 2021 |
Providing direct data access between accelerators and storage in a computing environment, wherein the direct data access is independent of host CPU and the host CPU transfers … Z Qureshi, IH Chung, W Hwu, JJ Xiong US Patent 11,048,447, 2021 | | 2021 |