Sanchit Misra

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All published works

Action	Title	Year	Authors
+ PDF Chat	Generative Active Learning for the Search of Small-molecule Protein Binders	2024	Maksym Korablyov Chenghao Liu Moksh Jain Almer M. van der Sloot Eric Jolicoeur Edward Ruediger Andrei Cristian Nica Emmanuel Bengio Kostiantyn Lapchevskyi Daniel J. St‐Cyr
+	DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing	2023	Yangtian Zhan Zuobai Zhang Bozitao Zhong Sanchit Misra J. Tang
+	PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design	2023	Chuanrui Wang Bozitao Zhong Zuobai Zhang Narendra Kumar Chaudhary Sanchit Misra J. Tang
+ PDF Chat	Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads	2022	Evangelos Georganas Dhiraj Kalamkar Sasikanth Avancha Menachem Adelman Deepti Aggarwal Cristina Anderson Alexander Breuer Jeremy Bruestle Narendra Chaudhary Abhisek Kundu
+	Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs	2022	Narendra Kumar Chaudhary Alexander Pivovar P. Yakovlev Andrey Gorshkov Sanchit Misra
+	DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling	2022	Vasimuddin Md Ramanarayan Mohanty Sanchit Misra Sasikanth Avancha
+ PDF Chat	Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads	2021	Evangelos Georganas Dhiraj D. Kalamkar Sasikanth Avancha Menachem Adelman Cristina Anderson Alexander Breuer Jeremy Bruestle Narendra Chaudhary Abhisek Kundu Denise Kutnick
+ PDF Chat	Tensor processing primitives	2021	Evangelos Georganas Dhiraj Kalamkar Sasikanth Avancha Menachem Adelman Cristina Anderson Alexander Breuer Jeremy Bruestle Narendra Chaudhary Abhisek Kundu Denise Kutnick
+ PDF Chat	Tensor processing primitives	2021	Evangelos Georganas Dhiraj Kalamkar Sasikanth Avancha Menachem Adelman Cristina Anderson Alexander Breuer Jeremy Bruestle Narendra Chaudhary Abhisek Kundu Denise Kutnick
+	DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks.	2021	Vasimuddin Sanchit Misra Guixiang Ma Ramanarayan Mohanty Evangelos Georganas Alexander Heinecke Dhiraj Kalamkar Nesreen K. Ahmed Sasikanth Avancha
+	Efficient and Generic 1D Dilated Convolution Layer for Deep Learning	2021	Narendra Chaudhary Sanchit Misra Dhiraj Kalamkar Alexander Heinecke Evangelos Georganas Barukh Ziv Menachem Adelman Bharat Kaul
+	DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks	2021	Vasimuddin Md Sanchit Misra Guixiang Ma Ramanarayan Mohanty Evangelos Georganas Alexander Heinecke Dhiraj Kalamkar Nesreen K. Ahmed Sasikanth Avancha
+ PDF Chat	Benchmarking learned indexes	2020	Ryan Marcus Andreas Kipf Alexander van Renen Mihail Stoian Sanchit Misra Alfons Kemper Thomas Neumann Tim Kraska
+	Benchmarking Learned Indexes	2020	Ryan Marcus Andreas Kipf Alexander van Renen Mihail Stoian Sanchit Misra Alfons Kemper Thomas Neumann Tim Kraska
+	Deep Graph Library Optimizations for Intel(R) x86 Architecture	2020	Sasikanth Avancha Vasimuddin Sanchit Misra Ramanarayan Mohanty
+	Benchmarking Learned Indexes	2020	Ryan Marcus Andreas Kipf Alexander van Renen Mihail Stoian Sanchit Misra Alfons Kemper Thomas Neumann Tim Kraska
+ PDF Chat	Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems	2019	Md. Vasimuddin Sanchit Misra Heng Li Srinivas Aluru
+	LISA: Towards Learned DNA Sequence Search	2019	Darryl Ho Jialin Ding Sanchit Misra Nesime Tatbul Vikram Nathan Md Vasimuddin Tim Kraska
+	Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems	2019	Vasimuddin Md Sanchit Misra Heng Li Srinivas Aluru

Common Coauthors

Coauthor	Papers Together
Sasikanth Avancha	9
Ramanarayan Mohanty	8
Dhiraj D. Kalamkar	7
Alexander Heinecke	7
Evangelos Georganas	7
Vasimuddin Md	5
Narendra Chaudhary	5
Menachem Adelman	5
Barukh Ziv	5
Hans Pabst	4
Frank Laub	4
Cristina Anderson	4
Abhisek Kundu	4
Alexander Breuer	4
Vasimuddin	4
Denise Kutnick	4
Jeremy Bruestle	4
Tim Kraska	4
Mihail Stoian	3
Ryan Marcus	3
Andreas Kipf	3
Alexander van Renen	3
Thomas Neumann	3
Alfons Kemper	3
Srinivas Aluru	2
Guixiang Ma	2
Bharat Kaul	2
Nesreen K. Ahmed	2
Zuobai Zhang	2
Heng Li	2
J. Tang	2
Bozitao Zhong	2
Narendra Kumar Chaudhary	2
Andrey Gorshkov	1
Victor Ion Butoi	1
Mike Tyers	1
Hadi Nekoei	1
Darryl Ho	1
Chuanrui Wang	1
Maksym Korablyov	1
Doina Precup	1
Stanisław Jastrzȩbski	1
Pierre‐Luc Bacon	1
Andrei Cristian Nica	1
Alexander Pivovar	1
Brooks Paige	1
Md. Vasimuddin	1
Prateek Gupta	1
Almer M. van der Sloot	1
Vikram Nathan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations	2020	Thomas D. Kühne Marcella Iannuzzi Mauro Del Ben Vladimir V. Rybkin Patrick Seewald Frederick Stein Teodoro Laino Rustam Z. Khaliullin Ole Schütt Florian Schiffmann	4
+	The number of registers required for evaluating arithmetic expressions	1979	Philippe Flajolet Jean -Claude Raoult Jean Vuillemin	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	4
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	4
+	Deep Graph Library Optimizations for Intel(R) x86 Architecture	2020	Sasikanth Avancha Vasimuddin Sanchit Misra Ramanarayan Mohanty	4
+	Instance Normalization: The Missing Ingredient for Fast Stylization	2016	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	3
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	3
+	Deep Learning Recommendation Model for Personalization and Recommendation Systems	2019	Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman Jongsoo Park Xiaodong Wang Udit Gupta Carole-Jean Wu Alisson G. Azzolini	3
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	3
+	PyFR: An open source framework for solving advection–diffusion type problems on streaming architectures using the flux reconstruction approach	2014	Freddie Witherden A.M. Farrington Peter Vincent	3
+ PDF Chat	The Case for Learned Index Structures	2018	Tim Kraska Alex Beutel Ed H. Jay B. Dean Neoklis Polyzotis	3
+ PDF Chat	The Deep Learning Compiler: A Comprehensive Survey	2020	Mingzhen Li Yi Liu Xiaoyan Liu Qingxiao Sun Xin You Hailong Yang Zhongzhi Luan Lin Gan Guangwen Yang Depei Qian	3
+ PDF Chat	Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset	2017	João Carreira Andrew Zisserman	3
+ PDF Chat	Optimizing Deep Learning Recommender Systems Training on CPU Cluster Architectures	2020	Dhiraj Kalamkar Evangelos Georganas Sudarshan Srinivasan Jianping Chen Mikhail Shiryaev Alexander Heinecke	3
+	Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions	2018	Nicolas Vasilache Oleksandr Zinenko Theodoros Theodoridis Priya Goyal Zachary DeVito William S. Moses Sven Verdoolaege Andrew Adams Albert Cohen	3
+	Stripe: Tensor Compilation via the Nested Polyhedral Model	2019	Tim Zerrell Jeremy Bruestle	3
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+ PDF Chat	LSM-based storage techniques: a survey	2019	Chen Luo Michael J. Carey	2
+	A Survey of Deep Learning for Scientific Discovery	2020	Maithra Raghu Eric W. Schmidt	2
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+	Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM	2013	Heng Li	2
+ PDF Chat	DBCSR: A Blocked Sparse Tensor Algebra Library	2020	Ilia Sivkov Patrick Seewald Alfio Lazzaro Jürg Hutter	2
+	ALEX: An Updatable Adaptive Learned Index	2020	Jialin Ding Umar Farooq Minhas Jia Yu Chi Wang Jaeyoung Do Yinan Li Hantian Zhang Badrish Chandramouli Johannes Gehrke Donald Kossmann	2
+ PDF Chat	The PGM-index	2020	Paolo Ferragina Giorgio Vinciguerra	2
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan D. Cohen John C. Tran Bryan Catanzaro Evan Shelhamer	2
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	2
+	Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks.	2013	Dong Yu Michael L. Seltzer Jinyu Li Jui-Ting Huang Frank Seide	2
+ PDF Chat	Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures	2018	Evangelos Georganas Sasikanth Avancha Kunal Banerjee Dhiraj Kalamkar Greg Henry Hans Pabst Alexander Heinecke	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Deep learning for computational chemistry	2017	Garrett B. Goh Nathan O. Hodas Abhinav Vishnu	2
+ PDF Chat	Exploring single-sample SNP and INDEL calling with whole-genome <i>de novo</i> assembly	2012	Heng Li	2
+	SOSD: A Benchmark for Learned Indexes	2019	Andreas Kipf Ryan Marcus Alexander van Renen Mihail Stoian Alfons Kemper Tim Kraska Thomas Neumann	2
+	Ansor: Generating high-performance tensor programs for deep learning	2020	Lianmin Zheng Chengfan Jia Minmin Sun Wu Zhao Cody Hao Yu Ameer Haj-Ali Yida Wang Jun Yang Danyang Zhuo Koushik Sen	2
+	Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs	2019	Minjie Wang Lingfan Yu Da Zheng Quan Gan Yu Gai Zihao Ye Mufei Li Jinjing Zhou Qi Huang Chao Ma	1
+	A Survey of Deep Learning for Scientific Discovery	2020	Maithra Raghu Eric J. Schmidt	1
+ PDF Chat	Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions	2020	Samuel Kriman Stanislav Beliaev Boris Ginsburg Jocelyn Huang Oleksii Kuchaiev Vitaly Lavrukhin R. Bret Leary Jason Li Yang Zhang	1
+	Measuring the Algorithmic Efficiency of Neural Networks	2020	Danny Hernandez T. B. Brown	1
+	Reducing Communication in Graph Neural Network Training	2020	Alok Ranjan Tripathy Katherine Yelick Aydın Buluç	1
+	RadixSpline: A Single-Pass Learned Index	2020	Andreas Kipf Ryan Marcus Alexander van Renen Mihail Stoian Alfons Kemper Tim Kraska Thomas Neumann	1
+	The Computational Limits of Deep Learning	2023	Neil Thompson Kristjan Greenewald Keeheon Lee Gabriel F. Manso	1
+	FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems	2020	Yuwei Hu Zihao Ye Minjie Wang Jiali Yu Da Zheng Mu Li Zheng Zhang Zhiru Zhang Yida Wang	1
+	Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks	2019	Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li Xiang Song Jinjing Zhou Chao Ma Lingfan Yu Yu Gai	1
+	Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification	2020	Yunsheng Shi Zhengjie Huang Wenjin Wang Hui Zhong Shikun Feng Yu Sun	1
+	A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems	2020	Guixiang Ma Yao Xiao Theodore L. Willke Nesreen K. Ahmed Shahin Nazarian Paul Bogdan	1
+	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs	2020	Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis	1
+ PDF Chat	PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition	2020	Qiuqiang Kong Yin Cao Turab Iqbal Yuxuan Wang Wenwu Wang Mark D. Plumbley	1
+	Open Graph Benchmark: Datasets for Machine Learning on Graphs	2020	Weihua Hu Matthias Fey Marinka Žitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta Jure Leskovec	1