Saeed Maleki
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
11
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | MSCCL++: Rethinking GPU Communication Abstractions for AI Inference. | Changho Hwang, Peng Cheng, Roshan Dathathri, Abhinav Jangda, Saeed Maleki, Madan Musuvathi, Olli Saarikivi, Aashaka Shah, Ziyue Yang, Binyang Li, Caio Rocha, Qinghua Zhou, Mahdieh Ghazimirsaeed, Sreevatsa Anantharamu, Jithin Jose |
| 2026 | NSDI | ForestColl: Throughput-Optimal Collective Communications on Heterogeneous Network Fabrics. | Liangyu Zhao, Saeed Maleki, Yuanhong Wang, Zezhou Wang, Ziyue Yang, Hossein Pourreza, Arvind Krishnamurthy |
| 2024 | CGO | A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. | Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi |
| 2024 | EuroSys | Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation. | Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, Sa Wang |
| 2024 | HPCA | Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. | Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang |
| 2024 | ISCA | Splitwise: Efficient Generative LLM Inference Using Phase Splitting. | Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, igo Goiri, Saeed Maleki, Ricardo Bianchini |
| 2024 | OSDI | nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. | Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou |
| 2023 | ASPLOS | MSCCLang: Microsoft Collective Communication Language. | Meghan Cowan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, Yifan Xiong |
| 2023 | NSDI | TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches. | Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi |
| 2022 | ASPLOS | Breaking the computation and communication abstraction barrier in distributed machine learning workloads. | Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi |
| 2021 | PPoPP | Synthesizing optimal collective algorithms. | Zixian Cai, Zhengyang Liu, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi |
| 2019 | PLDI | CHET: an optimizing compiler for fully-homomorphic neural-network inferencing. | Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz |
| 2016 | ICASSP | Parallelizing WFST speech decoders. | Charith Mendis, Jasha Droppo, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Geoffrey Zweig |
| 2016 | ICS | DSMR: A Parallel Algorithm for Single-Source Shortest Path Problem. | Saeed Maleki, Donald Nguyen, Andrew Lenharth, Mara Jess Garzarn, David A. Padua, Keshav Pingali |
| 2016 | PPoPP | DSMR: a shared and distributed memory algorithm for single-source shortest path problem. | Saeed Maleki, Donald Nguyen, Andrew Lenharth, Mara Jess Garzarn, David A. Padua, Keshav Pingali |
| 2014 | PPoPP | Parallelizing dynamic programming through rank convergence. | Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz |