Saeed Maleki

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 38

Top Topics

Dynamic Programming

Machine Learning

Total Least Squares

Top Venues

Publications

Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. HPCA (2024)
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
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. OSDI (2024)
Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, Sa Wang
Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation. EuroSys (2024)
Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini
Splitwise: Efficient Generative LLM Inference Using Phase Splitting. ISCA (2024)
Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CGO (2024)
Liangyu Zhao, Saeed Maleki, Ziyue Yang, Hossein Pourreza, Aashaka Shah, Changho Hwang, Arvind Krishnamurthy
ForestColl: Efficient Collective Communications on Heterogeneous Network Fabrics. CoRR (2024)
Behnaz Arzani, Siva Kesava Reddy Kakarla, Miguel Castro, Srikanth Kandula, Saeed Maleki, Luke Marshall
Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem. CoRR (2023)
Meghan Cowan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, Yifan Xiong
MSCCLang: Microsoft Collective Communication Language. ASPLOS (2) (2023)
Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. CoRR (2023)
Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CoRR (2023)
Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. CoRR (2023)
Saeed Maleki
Look-Up mAI GeMM: Increasing AI GeMMs Performance by Nearly 2.5x via msGeMM. CoRR (2023)
Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi
TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches. NSDI (2023)
Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Aashaka Shah, Saeed Maleki, Ricardo Bianchini
Splitwise: Efficient generative LLM inference using phase splitting. CoRR (2023)
Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
Breaking the computation and communication abstraction barrier in distributed machine learning workloads. ASPLOS (2022)
Saeed Maleki, John L. Crassidis, Yang Cheng, Matthias Schmid
Error-Covariance Analysis of Monocular Pose Estimation Using Total Least Squares. CoRR (2022)
Saeed Maleki, Adhiti Raman, Yang Cheng, John L. Crassidis, Matthias Schmid
Optimal Pose Estimation and Covariance Analysis with Simultaneous Localization and Mapping Applications. CoRR (2022)
Meghan Cowan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, Yifan Xiong
MSCCL: Microsoft Collective Communication Library. CoRR (2022)
Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi, Rachee Singh
Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL. CoRR (2021)
Zixian Cai, Zhengyang Liu, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi
Synthesizing optimal collective algorithms. PPoPP (2021)
Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
Distributed Training of Embeddings using Graph Analytics. IPDPS (2021)
Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi, Tianju Xu, Vadim Eksarevskiy, Jaliya Ekanayake, Emad Barsoum
Scaling Distributed Training with Adaptive Summation. MLSys (2021)
Saeed Maleki, John L. Crassidis, Yang Cheng, Matthias Schmid
Total Least Squares for Optimal Pose Estimation. CoRR (2021)
Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning. CoRR (2021)
Zixian Cai, Zhengyang Liu, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi
Synthesizing Optimal Collective Algorithms. CoRR (2020)
Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi, Tianju Xu, Vadim Eksarevskiy, Jaliya Ekanayake, Emad Barsoum
Scaling Distributed Training with Adaptive Summation. CoRR (2020)
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
CHET: an optimizing compiler for fully-homomorphic neural-network inferencing. PLDI (2019)
Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
Distributed Word2Vec using Graph Analytics Frameworks. CoRR (2019)
Zhangxiaowen Gong, Zhi Chen, Justin Josef Szaday, David C. Wong, Zehra Sura, Neftali Watkinson, Saeed Maleki, David A. Padua, Alexander V. Veidenbaum, Alexandru Nicolau, Josep Torrellas
An empirical study of the effect of source-level loop transformations on compiler stability. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs. CoRR (2018)
Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
Semantics-Preserving Parallelization of Stochastic Gradient Descent. IPDPS (2018)
Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
Parallel Stochastic Gradient Descent with Sound Combiners. CoRR (2017)
Zhi Chen, Zhangxiaowen Gong, Justin Josef Szaday, David C. Wong, David A. Padua, Alexandru Nicolau, Alexander V. Veidenbaum, Neftali Watkinson, Zehra Sura, Saeed Maleki, Josep Torrellas, Gerald DeJong
LORE: A loop repository for the evaluation of compilers. IISWC (2017)
Saeed Maleki, Donald Nguyen, Andrew Lenharth, María Jesús Garzarán, David A. Padua, Keshav Pingali
DSMR: A Parallel Algorithm for Single-Source Shortest Path Problem. ICS (2016)
Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
Low-Rank Methods for Parallelizing Dynamic Programming Algorithms. ACM Trans. Parallel Comput. 2 (4) (2016)
Charith Mendis, Jasha Droppo, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Geoffrey Zweig
Parallelizing WFST speech decoders. ICASSP (2016)
Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
Efficient parallelization using rank convergence in dynamic programming algorithms. Commun. ACM 59 (10) (2016)
Saeed Maleki, Donald Nguyen, Andrew Lenharth, María Jesús Garzarán, David A. Padua, Keshav Pingali
DSMR: a shared and distributed memory algorithm for single-source shortest path problem. PPOPP (2016)
Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
Parallelizing dynamic programming through rank convergence. PPOPP (2014)
Saeed Maleki, G. Carl Evans, David A. Padua
Tiled Linear Algebra a System for Parallel Graph Algorithms. LCPC (2014)
Albert Sidelnik, Saeed Maleki, Bradford L. Chamberlain, María Jesús Garzarán, David A. Padua
Performance Portability with the Chapel Language. IPDPS (2012)
Saeed Maleki, Yaoqing Gao, María Jesús Garzarán, Tommy Wong, David A. Padua
An Evaluation of Vectorizing Compilers. PACT (2011)