High-Performance Distributed Data Mining. - Sanchit Misra; Ramanathan Narayanan; Daniel Honbo; Alok N. Choudhary (Next Generation of Data Mining, 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 (DATE, 2008)

Temperature-aware test scheduling for multiprocessor systems-on-chip. - David R. Bild; Sanchit Misra; Thidapat Chantem; Prabhat Kumar 002; Robert P. Dick; Xiaobo Sharon Hu; Li Shang; Alok N. Choudhary (ICCAD, 2008)

Mining Protein Interactions from Text Using Convolution Kernels. - Ramanathan Narayanan; Sanchit Misra; Simon Lin; Alok N. Choudhary (PAKDD Workshops, 2009)

MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment. - Ankit Agrawal 001; Sanchit Misra; Daniel Honbo; Alok N. Choudhary (HPDC, 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 (IPDPS Workshops, 2010)

FANGS: high speed sequence mapping for next generation sequencers. - Sanchit Misra; Ramanathan Narayanan; Simon Lin; Alok N. Choudhary (SAC, 2010)

Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery. - Ankit Agrawal 001; Sanchit Misra; Alok N. Choudhary; Karl Bilimoria (ICCABS, 2011)

Poster: A lung cancer mortality risk calculator based on SEER data. - Ankit Agrawal 001; Sanchit Misra; Ramanathan Narayanan; Lalith Polepeddi; Alok N. Choudhary (ICCABS, 2011)

Efficient pairwise statistical significance estimation for local sequence alignment using GPU. - Yuhong Zhang; Sanchit Misra; Daniel Honbo; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (ICCABS, 2011)

A lung cancer outcome calculator using ensemble data mining on SEER data. - Ankit Agrawal 001; Sanchit Misra; Ramanathan Narayanan; Lalith Polepeddi; Alok N. Choudhary (BIOKDD, 2011)

Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing. - Sanchit Misra; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (Bioinform., 2011)

Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library. - Ankit Agrawal 001; Sanchit Misra; Daniel Honbo; Alok N. Choudhary (Concurr. Comput. Pract. Exp., 2011)

Accelerating data mining workloads: current approaches and future challenges in system architecture design. - Alok N. Choudhary; Daniel Honbo; Prabhat Kumar 002; Berkin Özisikyilmaz; Sanchit Misra; Gokhan Memik (WIREs Data Mining Knowl. Discov., 2011)

Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power. - Yuhong Zhang; Sanchit Misra; Ankit Agrawal 001; Md. Mostofa Ali Patwary; Wei-keng Liao; Zhiguang Qin; Alok N. Choudhary (BMC Bioinform., 2012)

Lung cancer survival prediction using ensemble data mining on SEER data. - Ankit Agrawal 001; Sanchit Misra; Ramanathan Narayanan; Lalith Polepeddi; Alok N. Choudhary (Sci. Program., 2012)

Parallel Mutual Information Based Construction of Whole-Genome Networks on the Intel (R) Xeon Phi (TM) Coprocessor. - Sanchit Misra; Kiran Pamnany; Srinivas Aluru (IPDPS, 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 (SC, 2014)

Dtree: Dynamic Task Scheduling at Petascale. - Kiran Pamnany; Sanchit Misra; Md. Vasimuddin; Xing Liu; Edmond Chow; Srinivas Aluru (ISC, 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)

muBLASTP: database-indexed protein sequence search on multicore CPUs. - Jing Zhang 039; Sanchit Misra; Hao Wang 002; Wu-chun Feng (BMC Bioinform., 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)

Eliminating Irregularities of Protein Sequence Search on Multicore Architectures. - Jing Zhang 039; Sanchit Misra; Hao Wang 002; Wu-chun Feng (IPDPS, 2017)

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 (PACT, 2018)

Optimizing high performance distributed memory parallel hash tables for DNA k-mer counting. - Tony C. Pan; Sanchit Misra; Srinivas Aluru (SC, 2018)

Accelerating Sequence Alignment to Graphs. - Chirag Jain; Sanchit Misra; Haowen Zhang; Alexander T. Dilthey; Srinivas Aluru (IPDPS, 2019)

Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems. - Md. Vasimuddin; Sanchit Misra; Heng Li 002; Srinivas Aluru (IPDPS, 2019)

LISA: Towards Learned DNA Sequence Search. - Darryl Ho; Jialin Ding 001; Sanchit Misra; Nesime Tatbul; Vikram Nathan; Md. Vasimuddin; Tim Kraska (CoRR, 2019)

The Case for a Learned Sorting Algorithm. - Ani Kristo; Kapil Vaidya; Ugur Çetintemel; Sanchit Misra; Tim Kraska (SIGMOD Conference, 2020)

Deep Graph Library Optimizations for Intel(R) x86 Architecture. - Sasikanth Avancha; Md. Vasimuddin; Sanchit Misra; Ramanarayan Mohanty (CoRR, 2020)

Benchmarking Learned Indexes. - Ryan Marcus; Andreas Kipf; Alexander van Renen; Mihail Stoian; Sanchit Misra; Alfons Kemper; Thomas Neumann 001; Tim Kraska (Proc. VLDB Endow., 2020)

GenomicsBench: A Benchmark Suite for Genomics. - Arun Subramaniyan 001; Yufeng Gu; Timothy Dunn; Somnath Paul; Md. Vasimuddin; Sanchit Misra; David T. Blaauw; Satish Narayanasamy; Reetuparna Das (ISPASS, 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; et al. (SC, 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 (SC, 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; et al. (CoRR, 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)

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 (IPDPS Workshops, 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 Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs. - Narendra Chaudhary; Alexander Pivovar; Pavel Yakovlev; Andrey Gorshkov; Sanchit Misra (CoRR, 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; et al. (Frontiers Appl. Math. Stat., 2022)

Accelerating minimap2 for long-read sequencing applications on modern CPUs. - Saurabh Kalikar; Chirag Jain; Md. Vasimuddin; Sanchit Misra (Nat. Comput. Sci., 2022)

DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing. - Yangtian Zhang; Zuobai Zhang; Bozitao Zhong; Sanchit Misra; Jian Tang 005 (NeurIPS, 2023)

PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design. - Chuanrui Wang; Bozitao Zhong; Zuobai Zhang; Narendra Chaudhary; Sanchit Misra; Jian Tang 005 (CoRR, 2023)

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; et al. (CoRR, 2024)

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis. - Yufeng Gu; Arun Subramaniyan 001; Timothy Dunn; Alireza Khadem; Kuan-Yu Chen 001; Somnath Paul; Mohammad Vasimuddin; Sanchit Misra; David T. Blaauw; Satish Narayanasamy; Reetuparna Das (Commun. ACM, 2025)