Md. Vasimuddin

Orcid: 0000-0001-7615-0388

According to our database1, Md. Vasimuddin authored at least 15 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads.
Frontiers Appl. Math. Stat., 2022

DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling.
CoRR, 2022

2021
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads.
CoRR, 2021

DistGNN: scalable distributed training for large-scale graph neural networks.
Proceedings of the International Conference for High Performance Computing, 2021

Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads.
Proceedings of the International Conference for High Performance Computing, 2021

GenomicsBench: A Benchmark Suite for Genomics.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

2020
Deep Graph Library Optimizations for Intel(R) x86 Architecture.
CoRR, 2020

2019
LISA: Towards Learned DNA Sequence Search.
CoRR, 2019

Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

2018
A Parallel Algorithm for Bayesian Network Inference Using Arithmetic Circuits.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Performance extraction and suitability analysis of multi- and many-core architectures for next generation sequencing secondary analysis.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017
Parallel Exact Dynamic Bayesian Network Structure Learning with Application to Gene Networks.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

2015
Dtree: Dynamic Task Scheduling at Petascale.
Proceedings of the High Performance Computing - 30th International Conference, 2015

2014
Parallel Bayesian Network Structure Learning for Genome-Scale Gene Networks.
Proceedings of the International Conference for High Performance Computing, 2014


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