Sanchit Misra

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 31

Top Topics

Benchmark Suite

Neural Network Training

Top Venues

Proc. VLDB Endow.

Publications

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 (2024)
Chuanrui Wang, Bozitao Zhong, Zuobai Zhang, Narendra Chaudhary, Sanchit Misra, Jian Tang
PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design. CoRR (2023)
Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing. CoRR (2023)
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)
Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing. NeurIPS (2023)
Narendra Chaudhary, Alexander Pivovar, Pavel Yakovlev, Andrey Gorshkov, Sanchit Misra
Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs. CoRR (2022)
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)
Md. Vasimuddin, Ramanarayan Mohanty, Sanchit Misra, Sasikanth Avancha
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling. CoRR (2022)
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, Vasimuddin Md, 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 (2022)
Saurabh Kalikar, Chirag Jain, Md. Vasimuddin, Sanchit Misra
Accelerating minimap2 for long-read sequencing applications on modern CPUs. Nat. Comput. Sci. 2 (2) (2022)
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 (2021)
Vasimuddin Md, 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)
Vasimuddin Md, 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 (2021)
Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Narendra Chaudhary, Abhisek Kundu, Vasimuddin Md, 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 (2021)
Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Vasimuddin Md, 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)
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)
Sasikanth Avancha, Vasimuddin Md, Sanchit Misra, Ramanarayan Mohanty
Deep Graph Library Optimizations for Intel(R) x86 Architecture. CoRR (2020)
Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska
Benchmarking Learned Indexes. CoRR (2020)
Ani Kristo, Kapil Vaidya, Ugur Çetintemel, Sanchit Misra, Tim Kraska
The Case for a Learned Sorting Algorithm. SIGMOD Conference (2020)
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) (2020)
Chirag Jain, Sanchit Misra, Haowen Zhang, Alexander T. Dilthey, Srinivas Aluru
Accelerating Sequence Alignment to Graphs. IPDPS (2019)
Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Vasimuddin Md, Tim Kraska
LISA: Towards Learned DNA Sequence Search. CoRR (2019)
Md. Vasimuddin, Sanchit Misra, Heng Li, Srinivas Aluru
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems. IPDPS (2019)
Md. Vasimuddin, Sanchit Misra, Heng Li, Srinivas Aluru
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems. CoRR (2019)
Tony C. Pan, Sanchit Misra, Srinivas Aluru
-mer counting. SC (2018)
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)
Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng
Eliminating Irregularities of Protein Sequence Search on Multicore Architectures. IPDPS (2017)
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) (2016)
Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng
muBLASTP: database-indexed protein sequence search on multicore CPUs. BMC Bioinform. 17 (2016)
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) (2015)
Kiran Pamnany, Sanchit Misra, Md. Vasimuddin, Xing Liu, Edmond Chow, Srinivas Aluru
Dtree: Dynamic Task Scheduling at Petascale. ISC (2015)
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)
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)
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) (2012)
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) (2012)
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) (2011)
Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary
Poster: A lung cancer mortality risk calculator based on SEER data. ICCABS (2011)
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) (2011)
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)
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)
Ankit Agrawal, Sanchit Misra, Alok N. Choudhary, Karl Bilimoria
Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery. ICCABS (2011)
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) (2011)
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)
Sanchit Misra, Ramanathan Narayanan, Simon Lin, Alok N. Choudhary
FANGS: high speed sequence mapping for next generation sequencers. SAC (2010)
Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N. Choudhary
MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment. HPDC (2010)
Ramanathan Narayanan, Sanchit Misra, Simon Lin, Alok N. Choudhary
Mining Protein Interactions from Text Using Convolution Kernels. PAKDD Workshops (2009)
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)
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)