Muaaz Gul Awan
Orcid: 0000-0003-1233-1862
According to our database1,
Muaaz Gul Awan
authored at least 20 papers
between 2016 and 2024.
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Online presence:
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on orcid.org
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Bibliography
2024
Evolving to Find Optimizations Humans Miss: Using Evolutionary Computation to Improve GPU Code for Bioinformatics Applications.
ACM Trans. Evol. Learn. Optim., December, 2024
Concurr. Comput. Pract. Exp., August, 2024
Performance Modeling and Analysis of a de Bruijn Graph Based Local Assembly Kernel on Multiple Vendor GPUs.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024
Optimizing MILC-Dslash Performance on NVIDIA A100 GPU: Parallel Strategies using SYCL.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024
2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
Concurr. Comput. Pract. Exp., 2022
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the IEEE International Symposium on Workload Characterization, 2022
2021
Benchmarking mass spectrometry based proteomics algorithms using a simulated database.
Netw. Model. Anal. Health Informatics Bioinform., 2021
Proceedings of the International Conference for High Performance Computing, 2021
Evaluating Performance and Portability of a core bioinformatics kernel on multiple vendor GPUs.
Proceedings of the International Workshop on Performance, 2021
2020
BMC Bioinform., 2020
Proceedings of the High Performance Computing - 35th International Conference, 2020
2018
GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data.
Comput. Biol. Medicine, 2018
2017
GPU-PCC: A GPU Based Technique to Compute Pairwise Pearson's Correlation Coefficients for Big fMRI Data.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
An Out-of-Core GPU based Dimensionality Reduction Algorithm for Big Mass Spectrometry Data and Its Application in Bottom-up Proteomics.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
MS-REDUCE: an ultrafast technique for reduction of big mass spectrometry data for high-throughput processing.
Bioinform., 2016
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016