Muaaz Gul Awan

Orcid: 0000-0003-1233-1862

According to our database1, Muaaz Gul Awan authored at least 16 papers between 2016 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Evaluating the potential of disaggregated memory systems for HPC applications.
Concurr. Comput. Pract. Exp., August, 2024

2023
TANGO: A GPU optimized traceback approach for sequence alignment algorithms.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Designing Efficient SIMD Kernels for High Performance Sequence Alignment.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
Instruction Roofline: An insightful visual performance model for GPUs.
Concurr. Comput. Pract. Exp., 2022

Extreme-Scale Many-against-Many Protein Similarity Search.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021
Benchmarking mass spectrometry based proteomics algorithms using a simulated database.
Netw. Model. Anal. Health Informatics Bioinform., 2021

Accelerating large scale <i>de novo</i> metagenome assembly using GPUs.
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
The Parallelism Motifs of Genomic Data Analysis.
CoRR, 2020

ADEPT: a domain independent sequence alignment strategy for gpu architectures.
BMC Bioinform., 2020

Timemory: Modular Performance Analysis for HPC.
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

GPU-ArraySort: A Parallel, In-Place Algorithm for Sorting Large Number of Arrays.
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016


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