Mikhail Smelyanskiy

61 papers A* 7A 21B 1C 2Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Software-hardware co-design for fast and scalable training of deep learning recommendation models. ISCA Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
2022	A	`conf`	Supporting Massive DLRM Inference through Software Defined Memory. ICDCS Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Jens Axboe, Valmiki Rampersad, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Dheevatsa Mudigere, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Krishnakumar Nair, Maxim Naumov, Chris Petersen, Mikhail Smelyanskiy, Vijay Rao
2021	J	`jnl`	FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference. CoRR Daya Shanker Khudia, Jianyu Huang, Protonu Basu, Summer Deng, Haixin Liu, Jongsoo Park, Mikhail Smelyanskiy
2021	J	`jnl`	High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. CoRR Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
2021	J	`jnl`	Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. CoRR Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy
2021	J	`jnl`	Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy
2021	J	`jnl`	Supporting Massive DLRM Inference Through Software Defined Memory. CoRR Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Valmiki Rampersad, Jens Axboe, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov, Chris Peterson, Mikhail Smelyanskiy, Vijay Rao
2020	J	`jnl`	Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems. CoRR Maxim Naumov, John Kim, Dheevatsa Mudigere, Srinivas Sridharan, Xiaodong Wang, Whitney Zhao, Serhat Yilmaz, Changkyu Kim, Hector Yuen, Mustafa Ozdal, Krishnakumar Nair, Isabel Gao, Bor-Yiing Su, Jiyan Yang, Mikhail Smelyanskiy
2020	A*	`conf`	RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. ISCA Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang
2020	A*	`conf`	The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. HPCA Udit Gupta, Carole-Jean Wu, Xiaodong Wang, Maxim Naumov, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Mark Hempstead, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang
2019	J	`jnl`	RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. CoRR Liu Ke, Udit Gupta, Carole-Jean Wu, Benjamin Youngjae Cho, Mark Hempstead, Brandon Reagen, Xuan Zhang, David M. Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang
2019	J	`jnl`	The Architectural Implications of Facebook's DNN-based Personalized Recommendation. CoRR Udit Gupta, Xiaodong Wang, Maxim Naumov, Carole-Jean Wu, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang
2018	J	`jnl`	Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. CoRR Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Shanker Khudia, James Law, Parth Malani, Andrey Malevich, Nadathur Satish, Juan Miguel Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim M. Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy
2017	—	`conf`	Distributed Hessian-Free Optimization for Deep Neural Network. AAAI Workshops Xi He, Dheevatsa Mudigere, Mikhail Smelyanskiy, Martin Takác
2017	—	`conf`	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima. ICLR Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang
2016	A	`conf`	High Performance Parallel Stochastic Gradient Descent in Shared Memory. IPDPS Scott Sallinen, Nadathur Satish, Mikhail Smelyanskiy, Samantika S. Sury, Christopher Ré
2016	A	`conf`	High performance emulation of quantum circuits. SC Thomas Häner, Damian S. Steiger, Mikhail Smelyanskiy, Matthias Troyer
2016	J	`jnl`	Large Scale Distributed Hessian-Free Optimization for Deep Neural Network. CoRR Xi He, Dheevatsa Mudigere, Mikhail Smelyanskiy, Martin Takác
2016	J	`jnl`	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima. CoRR Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang
2016	J	`jnl`	Optimizations in a high-performance conjugate gradient benchmark for IA-based multi- and many-core processors. Int. J. High Perform. Comput. Appl. Jongsoo Park, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Alexander Heinecke, Dhiraj D. Kalamkar, Md. Mostofa Ali Patwary, Vadim O. Pirogov, Pradeep Dubey, Xing Liu, Carlos Rosales, Cyril Mazauric, Christopher S. Daley
2016	J	`jnl`	Scaling up Hartree-Fock calculations on Tianhe-2. Int. J. High Perform. Comput. Appl. Edmond Chow, Xing Liu, Sanchit Misra, Marat Dukhan, Mikhail Smelyanskiy, Jeff R. Hammond, Yunfei Du, Xiangke Liao, Pradeep Dubey
2016	B	`conf`	Sparso: Context-driven Optimizations of Sparse Linear Algebra. PACT Hongbo Rong, Jongsoo Park, Lingxiang Xiang, Todd A. Anderson, Mikhail Smelyanskiy
2016	J	`jnl`	The BLIS Framework: Experiments in Portability. ACM Trans. Math. Softw. Field G. Van Zee, Tyler M. Smith, Bryan Marker, Tze Meng Low, Robert A. van de Geijn, Francisco D. Igual, Mikhail Smelyanskiy, Xianyi Zhang, Michael Kistler, Vernon Austel, John A. Gunnels, Lee Killough
2016	J	`jnl`	qHiPSTER: The Quantum High Performance Software Testing Environment. CoRR Mikhail Smelyanskiy, Nicolas P. D. Sawaya, Alán Aspuru-Guzik
2015	J	`jnl`	Can traditional programming bridge the ninja performance gap for parallel computing applications? Commun. ACM Nadathur Satish, Changkyu Kim, Jatin Chhugani, Hideki Saito, Rakesh Krishnaiyer, Mikhail Smelyanskiy, Milind Girkar, Pradeep Dubey
2015	A	`conf`	Exploring Shared-Memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems. IPDPS Dheevatsa Mudigere, Srinivas Sridharan, Anand M. Deshpande, Jongsoo Park, Alexander Heinecke, Mikhail Smelyanskiy, Bharat Kaul, Pradeep Dubey, Dinesh K. Kaushik, David E. Keyes
2015	A	`conf`	High-performance algebraic multigrid solver optimized for multi-core based distributed parallel systems. SC Jongsoo Park, Mikhail Smelyanskiy, Ulrike Meier Yang, Dheevatsa Mudigere, Pradeep Dubey
2014	A	`conf`	Anatomy of High-Performance Many-Threaded Matrix Multiplication. IPDPS Tyler M. Smith, Robert A. van de Geijn, Mikhail Smelyanskiy, Jeff R. Hammond, Field G. Van Zee
2014	A	`conf`	Efficient Shared-Memory Implementation of High-Performance Conjugate Gradient Benchmark and its Application to Unstructured Matrices. SC Jongsoo Park, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Alexander Heinecke, Dhiraj D. Kalamkar, Xing Liu, Md. Mostofa Ali Patwary, Yutong Lu, Pradeep Dubey
2014	A	`conf`	Improving Communication Performance and Scalability of Native Applications on Intel Xeon Phi Coprocessor Clusters. IPDPS Karthikeyan Vaidyanathan, Kiran Pamnany, Dhiraj D. Kalamkar, Alexander Heinecke, Mikhail Smelyanskiy, Jongsoo Park, Daehyun Kim, Aniruddha G. Shet, Bharat Kaul, Bálint Joó, Pradeep Dubey
2014	A	`conf`	Lattice QCD with Domain Decomposition on Intel® Xeon Phi Co-Processors. SC Simon Heybrock, Bálint Joó, Dhiraj D. Kalamkar, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Tilo Wettig, Pradeep Dubey
2014	A	`conf`	Petascale High Order Dynamic Rupture Earthquake Simulations on Heterogeneous Supercomputers. SC Alexander Heinecke, Alexander Breuer, Sebastian Rettenberger, Michael Bader, Alice-Agnes Gabriel, Christian Pelties, Arndt Bode, William Barth, Xiangke Liao, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy, Pradeep Dubey
2014	C	`conf`	Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver. ISC Jongsoo Park, Mikhail Smelyanskiy, Narayanan Sundaram, Pradeep Dubey
2013	A	`conf`	Design and Implementation of the Linpack Benchmark for Single and Multi-node Systems Based on Intel® Xeon Phi Coprocessor. IPDPS Alexander Heinecke, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy, Alexander Kobotov, Roman Dubtsov, Greg Henry, Aniruddha G. Shet, George Chrysos, Pradeep Dubey
2013	J	`jnl`	Efficient backprojection-based synthetic aperture radar computation with many-core processors. Sci. Program. Jongsoo Park, Ping Tak Peter Tang, Mikhail Smelyanskiy, Daehyun Kim, Thomas Benson
2013	A	`conf`	Efficient sparse matrix-vector multiplication on x86-based many-core processors. ICS Xing Liu, Mikhail Smelyanskiy, Edmond Chow, Pradeep Dubey
2013	A	`conf`	Exploring SIMD for Molecular Dynamics, Using Intel® Xeon® Processors and Intel® Xeon Phi Coprocessors. IPDPS Simon J. Pennycook, Christopher J. Hughes, Mikhail Smelyanskiy, Stephen A. Jarvis
2013	C	`conf`	Lattice QCD on Intel® Xeon PhiTM Coprocessors. ISC Bálint Joó, Dhiraj D. Kalamkar, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy, Kiran Pamnany, Victor W. Lee, Pradeep Dubey, William A. Watson III
2012	—	`conf`	Analysis and Optimization of Financial Analytics Benchmark on Modern Multi- and Many-core IA-Based Architectures. SC Companion Mikhail Smelyanskiy, Jason Sewall, Dhiraj D. Kalamkar, Nadathur Satish, Pradeep Dubey, Nikita Astafiev, Ilya Burylov, Andrey Nikolaev, Sergey Maidanov, Shuo Li, Sunil Kulkarni, Charles H. Finan, Ekaterina Gonina
2012	A*	`conf`	Can traditional programming bridge the Ninja performance gap for parallel computing applications? ISCA Nadathur Satish, Changkyu Kim, Jatin Chhugani, Hideki Saito, Rakesh Krishnaiyer, Mikhail Smelyanskiy, Milind Girkar, Pradeep Dubey
2012	A	`conf`	Efficient backprojection-based synthetic aperture radar computation with many-core processors. SC Jongsoo Park, Ping Tak Peter Tang, Mikhail Smelyanskiy, Daehyun Kim, Thomas Benson
2012	A	`conf`	High Performance Non-uniform FFT on Modern X86-based Multi-core Systems. IPDPS Dhiraj D. Kalamkar, Joshua D. Trzasko, Srinivas Sridharan, Mikhail Smelyanskiy, Daehyun Kim, Armando Manduca, Yunhong Shu, Matt A. Bernstein, Bharat Kaul, Pradeep Dubey
2012	A	`conf`	Improving the Performance of Dynamical Simulations Via Multiple Right-Hand Sides. IPDPS Xing Liu, Edmond Chow, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy
2012	A	`conf`	Optimization of geometric multigrid for emerging multi- and manycore processors. SC Samuel Williams, Dhiraj D. Kalamkar, Amik Singh, Anand M. Deshpande, Brian van Straalen, Mikhail Smelyanskiy, Ann S. Almgren, Pradeep Dubey, John Shalf, Leonid Oliker
2011	J	`jnl`	Designing and dynamically load balancing hybrid LU for multi/many-core. Comput. Sci. Res. Dev. Michael Deisher, Mikhail Smelyanskiy, Brian Nickerson, Victor W. Lee, Michael Chuvelev, Pradeep Dubey
2011	J	`jnl`	High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures. Int. J. Biomed. Imaging Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca
2011	A	`conf`	High-performance lattice QCD for multi-core based parallel systems using a cache-friendly hybrid threaded-MPI approach. SC Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Jee W. Choi, Bálint Joó, Jatin Chhugani, Michael A. Clark, Pradeep Dubey
2011	—	`ed.`	WHPCF'11, Proceedings of the Fourth Workshop on High Performance Computational Finance, co-located with SC11, Seattle, WA, USA, November 13, 2011 WHPCF@SC Mikhail Smelyanskiy, Matthew Dixon, David Daly, Maria Eleftheriou, José E. Moreira, Kyung Dong Ryu
2010	A*	`conf`	Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU. ISCA Victor W. Lee, Changkyu Kim, Jatin Chhugani, Michael Deisher, Daehyun Kim, Anthony D. Nguyen, Nadathur Satish, Mikhail Smelyanskiy, Srinivas Chennupaty, Per Hammarlund, Ronak Singhal, Pradeep Dubey
2009	J	`jnl`	Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures. IEEE Trans. Vis. Comput. Graph. Mikhail Smelyanskiy, David R. Holmes III, Jatin Chhugani, Alan Larson, Doug Carmean, Dennis P. Hanson, Pradeep Dubey, Kurt Augustine, Daehyun Kim, Alan Kyker, Victor W. Lee, Anthony D. Nguyen, Larry Seiler, Richard A. Robb
2008	J	`jnl`	An algorithm for the fast solution of symmetric linear complementarity problems. Numerische Mathematik José Luis Morales, Jorge Nocedal, Mikhail Smelyanskiy
2008	A*	`conf`	Atomic Vector Operations on Chip Multiprocessors. ISCA Sanjeev Kumar, Daehyun Kim, Mikhail Smelyanskiy, Yen-Kuang Chen, Jatin Chhugani, Christopher J. Hughes, Changkyu Kim, Victor W. Lee, Anthony D. Nguyen
2008	J	`jnl`	Convergence of Recognition, Mining, and Synthesis Workloads and Its Implications. Proc. IEEE Yen-Kuang Chen, Jatin Chhugani, Pradeep Dubey, Christopher J. Hughes, Daehyun Kim, Sanjeev Kumar, Victor W. Lee, Anthony D. Nguyen, Mikhail Smelyanskiy
2007	A	`conf`	Scaling performance of interior-point method on large-scale chip multiprocessor system. SC Mikhail Smelyanskiy, Victor W. Lee, Daehyun Kim, Anthony D. Nguyen, Pradeep Dubey
2004	—	`—`	Hardware/software mechanisms for increasing resource utilization on VLIW/EPIC processors. Mikhail Smelyanskiy
2004	A	`conf`	Probabilistic Predicate-Aware Modulo Scheduling. CGO Mikhail Smelyanskiy, Scott A. Mahlke, Edward S. Davidson
2003	A	`conf`	Predicate-Aware Scheduling: A Technique for Reducing Resource Constraints. CGO Mikhail Smelyanskiy, Scott A. Mahlke, Edward S. Davidson, Hsien-Hsin S. Lee
2003	—	`conf`	Systematic Register Bypass Customization for Application-Specific Processors. ASAP Kevin Fan, Nathan Clark, Michael L. Chu, K. V. Manjunath, Rajiv A. Ravindran, Mikhail Smelyanskiy, Scott A. Mahlke
2001	J	`jnl`	Evaluating the Use of Register Queues in Software Pipelined Loops. IEEE Trans. Computers Gary S. Tyson, Mikhail Smelyanskiy, Edward S. Davidson
2001	A*	`conf`	Stack Value File: Custom Microarchitecture for the Stack. HPCA Hsien-Hsin S. Lee, Mikhail Smelyanskiy, Chris J. Newburn, Gary S. Tyson
2000	—	`conf`	Register Queues: A New Hardware/Software Approach to Efficient Software Pipelining. IEEE PACT Mikhail Smelyanskiy, Gary S. Tyson, Edward S. Davidson