Követés
Muhammad Haseeb
Muhammad Haseeb
Senior Software Engineer, NVIDIA
E-mail megerősítve itt: nvidia.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Methods for proteogenomics data analysis, challenges, and scalability bottlenecks: a survey
MU Tariq, M Haseeb, M Aledhari, R Razzak, RM Parizi, F Saeed
Ieee Access 9, 5497-5516, 2020
302020
Evaluating Performance and Portability of a core bioinformatics kernel on multiple vendor GPUs
M Haseeb, N Ding, J Deslippe, M Awan
2021 International workshop on performance, portability and productivity in …, 2021
222021
High performance computing framework for tera-scale database search of mass spectrometry data
M Haseeb, F Saeed
Nature computational science 1 (8), 550-561, 2021
152021
Communication lower-bounds for distributed-memory computations for mass spectrometry based omics data
F Saeed, M Haseeb, SS Iyengar
Journal of Parallel and Distributed Computing 161, 37-47, 2021
102021
Efficient shared peak counting in database peptide search using compact data structure for fragment-ion index
M Haseeb, F Saeed
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
8*2019
LBE: A Computational Load Balancing Algorithm for Speeding up Parallel Peptide Search in Mass-Spectrometry based Proteomics
M Haseeb, F Afzali, F Saeed
33rd IEEE International Parallel and Distributed Processing Symposium, 2019
82019
Evaluating the Performance of One-sided Communication on CPUs and GPUs
N Ding, M Haseeb, T Groves, S Williams
Proceedings of the SC'23 Workshops of The International Conference on High …, 2023
12023
TANGO: A GPU optimized traceback approach for sequence alignment algorithms
LA Lindsey, M Haseeb, H Sundar, M Awan
Proceedings of the SC'23 Workshops of The International Conference on High …, 2023
12023
GPU-acceleration of the distributed-memory database peptide search of mass spectrometry data
M Haseeb, F Saeed
Scientific Reports 13 (1), 18713, 2023
12023
High-Performance Algorithms for Mass Spectrometry-Based Omics
F Saeed, M Haseeb, S Kumar
Springer, 2022
12022
That’s right, the same C++ STL asynchronous parallel code runs on CPUs & GPUs
M Haseeb, W Wei, J Deslippe, B Cook
2023
Systems and Methods for Peptide Identification
FS M Haseeb
US Patent 11,309,061, 2022
2022
Methods and systems for compressing data
F Saeed, M Haseeb
US Patent 10,810,180, 2020
2020
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