Sanchit Misra

According to our database, Sanchit Misra authored at least 45 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generative Active Learning for the Search of Small-molecule Protein Binders.

Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio

CoRR, 2024

2023

PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design.

Chuanrui Wang, Bozitao Zhong, Zuobai Zhang, Narendra Chaudhary, Sanchit Misra, Jian Tang

CoRR, 2023

DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing.

Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis.

Yufeng Gu, Arun Subramaniyan, Timothy Dunn, Alireza Khadem, Kuan-Yu Chen, Somnath Paul, Md. Vasimuddin, Sanchit Misra, David T. Blaauw, Satish Narayanasamy, Reetuparna Das

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

Accelerating minimap2 for long-read sequencing applications on modern CPUs.

Saurabh Kalikar, Chirag Jain, Md. Vasimuddin, Sanchit Misra

Nat. Comput. Sci., 2022

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Deepti Aggarwal, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Brian Retford, Barukh Ziv, Alexander Heinecke

Frontiers Appl. Math. Stat., 2022

Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs.

Narendra Chaudhary, Alexander Pivovar, Pavel Yakovlev, Andrey Gorshkov, Sanchit Misra

CoRR, 2022

DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling.

Md. Vasimuddin, Ramanarayan Mohanty, Sanchit Misra, Sasikanth Avancha

CoRR, 2022

Accelerating Deep Learning based Identification of Chromatin Accessibility from noisy ATAC-seq Data.

Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Efficient and Generic 1D Dilated Convolution Layer for Deep Learning.

Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul

CoRR, 2021

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Narendra Chaudhary, Abhisek Kundu, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke

CoRR, 2021

DistGNN: scalable distributed training for large-scale graph neural networks.

Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha

Proceedings of the International Conference for High Performance Computing, 2021

Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke

Proceedings of the International Conference for High Performance Computing, 2021

GenomicsBench: A Benchmark Suite for Genomics.

Arun Subramaniyan, Yufeng Gu, Timothy Dunn, Somnath Paul, Md. Vasimuddin, Sanchit Misra, David T. Blaauw, Satish Narayanasamy, Reetuparna Das

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

2020

Benchmarking Learned Indexes.

Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska

Proc. VLDB Endow., 2020

Deep Graph Library Optimizations for Intel(R) x86 Architecture.

Sasikanth Avancha, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty

CoRR, 2020

The Case for a Learned Sorting Algorithm.

Ani Kristo, Kapil Vaidya, Ugur Çetintemel, Sanchit Misra, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

LISA: Towards Learned DNA Sequence Search.

Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska

CoRR, 2019

Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems.

Md. Vasimuddin, Sanchit Misra, Heng Li, Srinivas Aluru

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Accelerating Sequence Alignment to Graphs.

Chirag Jain, Sanchit Misra, Haowen Zhang, Alexander T. Dilthey, Srinivas Aluru

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

2018

Optimizing high performance distributed memory parallel hash tables for DNA <i>k</i>-mer counting.

Tony C. Pan, Sanchit Misra, Srinivas Aluru

Proceedings of the International Conference for High Performance Computing, 2018

Performance extraction and suitability analysis of multi- and many-core architectures for next generation sequencing secondary analysis.

Sanchit Misra, Tony C. Pan, Kanak Mahadik, George Powley, Priya N. Vaidya, Md. Vasimuddin, Srinivas Aluru

Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017

Eliminating Irregularities of Protein Sequence Search on Multicore Architectures.

Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016

Scaling up Hartree-Fock calculations on Tianhe-2.

Edmond Chow, Xing Liu, Sanchit Misra, Marat Dukhan, Mikhail Smelyanskiy, Jeff R. Hammond, Yunfei Du, Xiangke Liao, Pradeep Dubey

Int. J. High Perform. Comput. Appl., 2016

muBLASTP: database-indexed protein sequence search on multicore CPUs.

Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng

BMC Bioinform., 2016

2015

Parallel Mutual Information Based Construction of Genome-Scale Networks on the Intel®Xeon Phi™ Coprocessor.

Sanchit Misra, Kiran Pamnany, Srinivas Aluru

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Dtree: Dynamic Task Scheduling at Petascale.

Kiran Pamnany, Sanchit Misra, Md. Vasimuddin, Xing Liu, Edmond Chow, Srinivas Aluru

Proceedings of the High Performance Computing - 30th International Conference, 2015

2014

Parallel Bayesian Network Structure Learning for Genome-Scale Gene Networks.

Sanchit Misra, Md. Vasimuddin, Kiran Pamnany, Sriram P. Chockalingam, Yong Dong, Min Xie, Maneesha R. Aluru, Srinivas Aluru

Proceedings of the International Conference for High Performance Computing, 2014

Parallel Mutual Information Based Construction of Whole-Genome Networks on the Intel (R) Xeon Phi (TM) Coprocessor.

Sanchit Misra, Kiran Pamnany, Srinivas Aluru

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2012

Lung cancer survival prediction using ensemble data mining on SEER data.

Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary

Sci. Program., 2012

Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power.

Yuhong Zhang, Sanchit Misra, Ankit Agrawal, Md. Mostofa Ali Patwary, Wei-keng Liao, Zhiguang Qin, Alok N. Choudhary

BMC Bioinform., 2012

2011

Accelerating data mining workloads: current approaches and future challenges in system architecture design.

Alok N. Choudhary, Daniel Honbo, Prabhat Kumar, Berkin Özisikyilmaz, Sanchit Misra, Gokhan Memik

WIREs Data Mining Knowl. Discov., 2011

Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library.

Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N. Choudhary

Concurr. Comput. Pract. Exp., 2011

Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing.

Sanchit Misra, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary

Bioinform., 2011

A lung cancer outcome calculator using ensemble data mining on SEER data.

Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary

Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics, 2011

Efficient pairwise statistical significance estimation for local sequence alignment using GPU.

Yuhong Zhang, Sanchit Misra, Daniel Honbo, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary

Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

Poster: A lung cancer mortality risk calculator based on SEER data.

Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary

Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery.

Ankit Agrawal, Sanchit Misra, Alok N. Choudhary, Karl Bilimoria

Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

2010

FANGS: high speed sequence mapping for next generation sequencers.

Sanchit Misra, Ramanathan Narayanan, Simon Lin, Alok N. Choudhary

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

pFANGS: Parallel high speed sequence mapping for Next Generation 454-roche Sequencing reads.

Sanchit Misra, Ramanathan Narayanan, Wei-keng Liao, Alok N. Choudhary, Simon Lin

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment.

Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N. Choudhary

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

2009

Mining Protein Interactions from Text Using Convolution Kernels.

Ramanathan Narayanan, Sanchit Misra, Simon Lin, Alok N. Choudhary

Proceedings of the New Frontiers in Applied Data Mining, 2009

2008

Temperature-aware test scheduling for multiprocessor systems-on-chip.

David R. Bild, Sanchit Misra, Thidapat Chantem, Prabhat Kumar, Robert P. Dick, Xiaobo Sharon Hu, Li Shang, Alok N. Choudhary

Proceedings of the 2008 International Conference on Computer-Aided Design, 2008

An Efficient FPGA Implementation of Principle Component Analysis based Network Intrusion Detection System.

Abhishek Das, Sanchit Misra, Sumeet Joshi, Joseph Zambreno, Gokhan Memik, Alok N. Choudhary

Proceedings of the Design, Automation and Test in Europe, 2008

High-Performance Distributed Data Mining.

Sanchit Misra, Ramanathan Narayanan, Daniel Honbo, Alok N. Choudhary

Proceedings of the Next Generation of Data Mining., 2008