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Md. Vasimuddin
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2020 – today
- 2023
- [c10]Yufeng Gu
, Arun Subramaniyan
GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis. ISCA 2023: 25:1-25:15 - 2022
- [j2]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) - [j1]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) - [i6]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) - 2021
- [c9]Arun Subramaniyan, Yufeng Gu, Timothy Dunn, Somnath Paul, Md. Vasimuddin, Sanchit Misra, David T. Blaauw, Satish Narayanasamy
GenomicsBench: A Benchmark Suite for Genomics. ISPASS 2021: 1-12 - [c8]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 - [c7]Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed
DistGNN: scalable distributed training for large-scale graph neural networks. SC 2021: 76 - [i5]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) - [i4]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) - 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
- [c6]Md. Vasimuddin, Sanchit Misra, Heng Li, Srinivas Aluru:
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems. IPDPS 2019: 314-324 - [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
- [c5]Sanchit Misra, Tony C. Pan
Performance extraction and suitability analysis of multi- and many-core architectures for next generation sequencing secondary analysis. PACT 2018: 3:1-3:14 - [c4]Md. Vasimuddin, Sriram P. Chockalingam, Srinivas Aluru:
A Parallel Algorithm for Bayesian Network Inference Using Arithmetic Circuits. IPDPS 2018: 34-43 - 2017
- [c3]Md. Vasimuddin, Srinivas Aluru:
Parallel Exact Dynamic Bayesian Network Structure Learning with Application to Gene Networks. HiPC 2017: 42-51 - 2015
- [c2]Kiran Pamnany, Sanchit Misra, Md. Vasimuddin, Xing Liu, Edmond Chow, Srinivas Aluru:
Dtree: Dynamic Task Scheduling at Petascale. ISC 2015: 122-138 - 2014
- [c1]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
Coauthor Index
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