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ORCIDSanchit Misra
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2020 – today
- 2024
[i12]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:
Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR abs/2405.01616 (2024)- 2023
- [c25]Yufeng Gu, Arun Subramaniyan, Timothy Dunn, Alireza Khadem, Kuan-Yu Chen, Somnath Paul, Md. Vasimuddin, Sanchit Misra, David T. Blaauw, Satish Narayanasamy, Reetuparna Das:
GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis. ISCA 2023: 25:1-25:15 - [c24]Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang:
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing. NeurIPS 2023 - [i11]Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang:
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing. CoRR abs/2306.01794 (2023) - [i10]Chuanrui Wang, Bozitao Zhong, Zuobai Zhang, Narendra Chaudhary, Sanchit Misra, Jian Tang:
PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design. CoRR abs/2312.00080 (2023) - 2022
- [j11]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:
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads. Frontiers Appl. Math. Stat. 8: 826269 (2022) - [j10]Saurabh Kalikar, Chirag Jain, Md. Vasimuddin, Sanchit Misra:
Accelerating minimap2 for long-read sequencing applications on modern CPUs. Nat. Comput. Sci. 2(2): 78-83 (2022) - [c23]Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul:
Accelerating Deep Learning based Identification of Chromatin Accessibility from noisy ATAC-seq Data. IPDPS Workshops 2022: 176-185 - [i9]Md. Vasimuddin, Ramanarayan Mohanty, Sanchit Misra, Sasikanth Avancha:
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling. CoRR abs/2211.06385 (2022) - [i8]Narendra Chaudhary, Alexander Pivovar, Pavel Yakovlev, Andrey Gorshkov, Sanchit Misra:
Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs. CoRR abs/2212.11506 (2022) - 2021
- [c22]Arun Subramaniyan, Yufeng Gu, Timothy Dunn, Somnath Paul, Md. Vasimuddin, Sanchit Misra, David T. Blaauw, Satish Narayanasamy, Reetuparna Das:
GenomicsBench: A Benchmark Suite for Genomics. ISPASS 2021: 1-12 - [c21]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:
Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads. SC 2021: 14 - [c20]Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: scalable distributed training for large-scale graph neural networks. SC 2021: 76 - [i7]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:
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. CoRR abs/2104.05755 (2021) - [i6]Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR abs/2104.06700 (2021) - [i5]Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul:
Efficient and Generic 1D Dilated Convolution Layer for Deep Learning. CoRR abs/2104.08002 (2021) - 2020
- [j9]Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
Benchmarking Learned Indexes. Proc. VLDB Endow. 14(1): 1-13 (2020) - [c19]Ani Kristo, Kapil Vaidya, Ugur Çetintemel, Sanchit Misra, Tim Kraska:
The Case for a Learned Sorting Algorithm. SIGMOD Conference 2020: 1001-1016 - [i4]Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
Benchmarking Learned Indexes. CoRR abs/2006.12804 (2020) - [i3]Sasikanth Avancha, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty:
Deep Graph Library Optimizations for Intel(R) x86 Architecture. CoRR abs/2007.06354 (2020)
2010 – 2019
- 2019
- [c18]Md. Vasimuddin, Sanchit Misra, Heng Li, Srinivas Aluru:
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems. IPDPS 2019: 314-324 - [c17]Chirag Jain, Sanchit Misra, Haowen Zhang, Alexander T. Dilthey, Srinivas Aluru:
Accelerating Sequence Alignment to Graphs. IPDPS 2019: 451-461 - [i2]Md. Vasimuddin, Sanchit Misra, Heng Li, Srinivas Aluru:
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems. CoRR abs/1907.12931 (2019) - [i1]Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska:
LISA: Towards Learned DNA Sequence Search. CoRR abs/1910.04728 (2019) - 2018
- [c16]Sanchit Misra, Tony C. Pan, Kanak Mahadik, George Powley, Priya N. Vaidya, Md. Vasimuddin, Srinivas Aluru:
Performance extraction and suitability analysis of multi- and many-core architectures for next generation sequencing secondary analysis. PACT 2018: 3:1-3:14 - [c15]Tony C. Pan, Sanchit Misra, Srinivas Aluru:
Optimizing high performance distributed memory parallel hash tables for DNA k-mer counting. SC 2018: 11:1-11:13 - 2017
- [c14]Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng:
Eliminating Irregularities of Protein Sequence Search on Multicore Architectures. IPDPS 2017: 62-71 - 2016
- [j8]Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng:
muBLASTP: database-indexed protein sequence search on multicore CPUs. BMC Bioinform. 17: 443:1-443:14 (2016) - [j7]Edmond Chow, Xing Liu, Sanchit Misra, Marat Dukhan, Mikhail Smelyanskiy, Jeff R. Hammond, Yunfei Du, Xiangke Liao, Pradeep Dubey:
Scaling up Hartree-Fock calculations on Tianhe-2. Int. J. High Perform. Comput. Appl. 30(1): 85-102 (2016) - 2015
- [j6]Sanchit Misra, Kiran Pamnany, Srinivas Aluru:
Parallel Mutual Information Based Construction of Genome-Scale Networks on the Intel®Xeon Phi™ Coprocessor. IEEE ACM Trans. Comput. Biol. Bioinform. 12(5): 1008-1020 (2015) - [c13]Kiran Pamnany, Sanchit Misra, Md. Vasimuddin, Xing Liu, Edmond Chow, Srinivas Aluru:
Dtree: Dynamic Task Scheduling at Petascale. ISC 2015: 122-138 - 2014
- [c12]Sanchit Misra, Kiran Pamnany, Srinivas Aluru:
Parallel Mutual Information Based Construction of Whole-Genome Networks on the Intel (R) Xeon Phi (TM) Coprocessor. IPDPS 2014: 241-250 - [c11]Sanchit Misra, Md. Vasimuddin, Kiran Pamnany, Sriram P. Chockalingam, Yong Dong, Min Xie, Maneesha R. Aluru, Srinivas Aluru:
Parallel Bayesian Network Structure Learning for Genome-Scale Gene Networks. SC 2014: 461-472 - 2012
- [j5]Yuhong Zhang, Sanchit Misra, Ankit Agrawal, Md. Mostofa Ali Patwary, Wei-keng Liao, Zhiguang Qin, Alok N. Choudhary:
Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power. BMC Bioinform. 13(S-5): S3 (2012) - [j4]Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary:
Lung cancer survival prediction using ensemble data mining on SEER data. Sci. Program. 20(1): 29-42 (2012) - 2011
- [j3]Sanchit Misra, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing. Bioinform. 27(2): 189-195 (2011) - [j2]Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N. Choudhary:
Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library. Concurr. Comput. Pract. Exp. 23(17): 2269-2279 (2011) - [j1]Alok N. Choudhary, Daniel Honbo, Prabhat Kumar, Berkin Özisikyilmaz, Sanchit Misra, Gokhan Memik:
Accelerating data mining workloads: current approaches and future challenges in system architecture design. WIREs Data Mining Knowl. Discov. 1(1): 41-54 (2011) - [c10]Yuhong Zhang, Sanchit Misra, Daniel Honbo, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Efficient pairwise statistical significance estimation for local sequence alignment using GPU. ICCABS 2011: 226-231 - [c9]Ankit Agrawal, Sanchit Misra, Alok N. Choudhary, Karl Bilimoria:
Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery. ICCABS 2011: 232 - [c8]Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary:
Poster: A lung cancer mortality risk calculator based on SEER data. ICCABS 2011: 233 - [c7]Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary:
A lung cancer outcome calculator using ensemble data mining on SEER data. BIOKDD 2011: 5:1-5:9 - 2010
- [c6]Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N. Choudhary:
MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment. HPDC 2010: 470-476 - [c5]Sanchit Misra, Ramanathan Narayanan, Wei-keng Liao, Alok N. Choudhary, Simon Lin:
pFANGS: Parallel high speed sequence mapping for Next Generation 454-roche Sequencing reads. IPDPS Workshops 2010: 1-8 - [c4]Sanchit Misra, Ramanathan Narayanan, Simon Lin, Alok N. Choudhary:
FANGS: high speed sequence mapping for next generation sequencers. SAC 2010: 1539-1546
2000 – 2009
- 2009
- [c3]Ramanathan Narayanan, Sanchit Misra, Simon Lin, Alok N. Choudhary:
Mining Protein Interactions from Text Using Convolution Kernels. PAKDD Workshops 2009: 118-129 - 2008
- [c2]Abhishek Das, Sanchit Misra, Sumeet Joshi, Joseph Zambreno, Gokhan Memik, Alok N. Choudhary:
An Efficient FPGA Implementation of Principle Component Analysis based Network Intrusion Detection System. DATE 2008: 1160-1165 - [c1]David R. Bild, Sanchit Misra, Thidapat Chantem, Prabhat Kumar, Robert P. Dick, Xiaobo Sharon Hu, Li Shang, Alok N. Choudhary:
Temperature-aware test scheduling for multiprocessor systems-on-chip. ICCAD 2008: 59-66 - [p1]Sanchit Misra, Ramanathan Narayanan, Daniel Honbo, Alok N. Choudhary:
High-Performance Distributed Data Mining. Next Generation of Data Mining 2008
Coauthor Index
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