Muaaz Gul Awan

According to our database, Muaaz Gul Awan authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Evaluating the Potential of Disaggregated Memory Systems for HPC applications.

Nan Ding, Pieter Maris, Hai Ah Nam, Taylor L. Groves, Muaaz Gul Awan, LeAnn Lindsey, Christopher S. Daley, Oguz Selvitopi, Leonid Oliker, Nicholas J. Wright, Samuel Williams

CoRR, 2023

TANGO: A GPU optimized traceback approach for sequence alignment algorithms.

LeAnn Lindsey, Muhammad Haseeb, Hari Sundar, Muaaz Gul Awan

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Designing Efficient SIMD Kernels for High Performance Sequence Alignment.

Doru-Thom Popovici, Muaaz Gul Awan, Giulia Guidi, Rob Egan, Steven A. Hofmeyr, Leonid Oliker, Katherine A. Yelick

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Instruction Roofline: An insightful visual performance model for GPUs.

Nan Ding, Muaaz G. Awan, Samuel Williams

Concurr. Comput. Pract. Exp., 2022

Extreme-Scale Many-against-Many Protein Similarity Search.

Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Muaaz G. Awan, Georgios A. Pavlopoulos, Ariful Azad, Nikos Kyrpides, Leonid Oliker, Katherine A. Yelick, Aydin Buluç

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Benchmarking mass spectrometry based proteomics algorithms using a simulated database.

Muaaz Gul Awan, Abdullah Gul Awan, Fahad Saeed

Netw. Model. Anal. Health Informatics Bioinform., 2021

Accelerating large scale <i>de novo</i> metagenome assembly using GPUs.

Muaaz Gul Awan, Steven A. Hofmeyr, Rob Egan, Nan Ding, Aydin Buluç, Jack Deslippe, Leonid Oliker, Katherine A. Yelick

Proceedings of the International Conference for High Performance Computing, 2021

Evaluating Performance and Portability of a core bioinformatics kernel on multiple vendor GPUs.

Muhammad Haseeb, Nan Ding, Jack Deslippe, Muaaz Gul Awan

Proceedings of the International Workshop on Performance, 2021

2020

The Parallelism Motifs of Genomic Data Analysis.

Katherine A. Yelick, Aydin Buluç, Muaaz G. Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven A. Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker

CoRR, 2020

ADEPT: a domain independent sequence alignment strategy for gpu architectures.

Muaaz G. Awan, Jack Deslippe, Aydin Buluç, Oguz Selvitopi, Steven A. Hofmeyr, Leonid Oliker, Katherine A. Yelick

BMC Bioinform., 2020

Timemory: Modular Performance Analysis for HPC.

Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahulkumar Gayatri, Leonid Oliker, Yunsong Wang, Charlene Yang, Samuel Williams

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.

Muaaz Gul Awan, Taban Eslami, Fahad Saeed

Comput. Biol. Medicine, 2018

2017

GPU-PCC: A GPU Based Technique to Compute Pairwise Pearson's Correlation Coefficients for Big fMRI Data.

Taban Eslami, Muaaz Gul Awan, Fahad Saeed

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.

Muaaz Gul Awan, Fahad Saeed

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.

Muaaz Gul Awan, Fahad Saeed

Bioinform., 2016

GPU-ArraySort: A Parallel, In-Place Algorithm for Sorting Large Number of Arrays.

Muaaz Gul Awan, Fahad Saeed

Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016