Saeed Maleki - RankMe

47 papers A* 5A 6B 4Misc 2Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	MSCCL++: Rethinking GPU Communication Abstractions for AI Inference. ASPLOS (2) 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
2025	J	`jnl`	MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications. CoRR Aashaka Shah, Abhinav Jangda, Binyang Li, Caio Rocha, Changho Hwang, Jithin Jose, Madan Musuvathi, Olli Saarikivi, Peng Cheng, Qinghua Zhou, Roshan Dathathri, Saeed Maleki, Ziyue Yang
2025	J	`jnl`	Splitwise: Efficient Generative LLM Inference Using Phase Splitting. IEEE Micro Esha Choukse, Pratyush Patel, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Rodrigo Fonseca, Ricardo Bianchini
2024	A	`conf`	A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CGO Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
2024	A	`conf`	Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation. EuroSys Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, Sa Wang
2024	J	`jnl`	Efficient Schedule Construction for Distributed Execution of Large DNN Models. IEEE Trans. Parallel Distributed Syst. Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
2024	J	`jnl`	ForestColl: Efficient Collective Communications on Heterogeneous Network Fabrics. CoRR Liangyu Zhao, Saeed Maleki, Ziyue Yang, Hossein Pourreza, Aashaka Shah, Changho Hwang, Arvind Krishnamurthy
2024	A*	`conf`	Splitwise: Efficient Generative LLM Inference Using Phase Splitting. ISCA Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini
2024	A*	`conf`	Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. HPCA Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
2024	A*	`conf`	nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. OSDI 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	J	`jnl`	A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CoRR Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
2023	J	`jnl`	Look-Up mAI GeMM: Increasing AI GeMMs Performance by Nearly 2.5x via msGeMM. CoRR Saeed Maleki
2023	—	`conf`	MSCCLang: Microsoft Collective Communication Language. ASPLOS (2) Meghan Cowan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, Yifan Xiong
2023	J	`jnl`	Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem. CoRR Behnaz Arzani, Siva Kesava Reddy Kakarla, Miguel Castro, Srikanth Kandula, Saeed Maleki, Luke Marshall
2023	J	`jnl`	Splitwise: Efficient generative LLM inference using phase splitting. CoRR Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Aashaka Shah, Saeed Maleki, Ricardo Bianchini
2023	J	`jnl`	SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. CoRR 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
2023	Misc	`conf`	TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches. NSDI Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi
2023	J	`jnl`	Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. CoRR Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
2022	A*	`conf`	Breaking the computation and communication abstraction barrier in distributed machine learning workloads. ASPLOS Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
2022	J	`jnl`	Error-Covariance Analysis of Monocular Pose Estimation Using Total Least Squares. CoRR Saeed Maleki, John L. Crassidis, Yang Cheng, Matthias Schmid
2022	J	`jnl`	MSCCL: Microsoft Collective Communication Library. CoRR Meghan Cowan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, Yifan Xiong
2022	J	`jnl`	Optimal Pose Estimation and Covariance Analysis with Simultaneous Localization and Mapping Applications. CoRR Saeed Maleki, Adhiti Raman, Yang Cheng, John L. Crassidis, Matthias Schmid
2021	J	`jnl`	CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning. CoRR Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
2021	A	`conf`	Distributed Training of Embeddings using Graph Analytics. IPDPS Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
2021	—	`conf`	Scaling Distributed Training with Adaptive Summation. MLSys Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi, Tianju Xu, Vadim Eksarevskiy, Jaliya Ekanayake, Emad Barsoum
2021	J	`jnl`	Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL. CoRR Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi, Rachee Singh
2021	B	`conf`	Synthesizing optimal collective algorithms. PPoPP Zixian Cai, Zhengyang Liu, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi
2021	J	`jnl`	Total Least Squares for Optimal Pose Estimation. CoRR Saeed Maleki, John L. Crassidis, Yang Cheng, Matthias Schmid
2020	J	`jnl`	Scaling Distributed Training with Adaptive Summation. CoRR Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi, Tianju Xu, Vadim Eksarevskiy, Jaliya Ekanayake, Emad Barsoum
2020	J	`jnl`	Synthesizing Optimal Collective Algorithms. CoRR Zixian Cai, Zhengyang Liu, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi
2019	A*	`conf`	CHET: an optimizing compiler for fully-homomorphic neural-network inferencing. PLDI Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
2019	J	`jnl`	Distributed Word2Vec using Graph Analytics Frameworks. CoRR Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
2018	J	`jnl`	An empirical study of the effect of source-level loop transformations on compiler stability. Proc. ACM Program. Lang. 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
2018	J	`jnl`	CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs. CoRR Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
2018	A	`conf`	Semantics-Preserving Parallelization of Stochastic Gradient Descent. IPDPS Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
2017	—	`conf`	LORE: A loop repository for the evaluation of compilers. IISWC 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
2017	J	`jnl`	Parallel Stochastic Gradient Descent with Sound Combiners. CoRR Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
2016	A	`conf`	DSMR: A Parallel Algorithm for Single-Source Shortest Path Problem. ICS Saeed Maleki, Donald Nguyen, Andrew Lenharth, María Jesús Garzarán, David A. Padua, Keshav Pingali
2016	B	`conf`	DSMR: a shared and distributed memory algorithm for single-source shortest path problem. PPoPP Saeed Maleki, Donald Nguyen, Andrew Lenharth, María Jesús Garzarán, David A. Padua, Keshav Pingali
2016	J	`jnl`	Efficient parallelization using rank convergence in dynamic programming algorithms. Commun. ACM Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
2016	J	`jnl`	Low-Rank Methods for Parallelizing Dynamic Programming Algorithms. ACM Trans. Parallel Comput. Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
2016	Misc	`conf`	Parallelizing WFST speech decoders. ICASSP Charith Mendis, Jasha Droppo, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Geoffrey Zweig
2015	—	`—`	Communication avoiding parallel algorithms for amorphous problems Saeed Maleki
2014	B	`conf`	Parallelizing dynamic programming through rank convergence. PPoPP Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
2014	—	`conf`	Tiled Linear Algebra a System for Parallel Graph Algorithms. LCPC Saeed Maleki, G. Carl Evans, David A. Padua
2012	A	`conf`	Performance Portability with the Chapel Language. IPDPS Albert Sidelnik, Saeed Maleki, Bradford L. Chamberlain, María Jesús Garzarán, David A. Padua
2011	B	`conf`	An Evaluation of Vectorizing Compilers. PACT Saeed Maleki, Yaoqing Gao, María Jesús Garzarán, Tommy Wong, David A. Padua