[hpc-announce] Subject: Supercomputing Spotlights: by Hatem Ltaief, December 11, 2024

[Erin Carson]

Solving Big Problems with Little Numbers
Presenter: Hatem Ltaief, KAUST
Wednesday, December 11, 2024, 3:00-3:40 pm UTC (30 min talk + 10 min 
questions)
7 am PST / 9 am CST / 10 am EST / 3 pm UTC / 4 pm CET / 12 am JST
Participation is free, but registration is required
Registration link: 
https://urldefense.us/v3/__https://siam.zoom.us/webinar/register/WN_Tgb2dUwqRUeiQ0r7tUriqA__;!!G_uCfscf7eWS!Y48nEzltX5FGmA4-h1KSbvblxBGSesUDdc8oKABQxKnKnyeAJ98VWr_sCE5HlK1JlSndSVeJv_Fo7WDqYYRsMMC5umUQ-eQ$ 


Supercomputing Spotlights is a new webinar series featuring short 
presentations that highlight the impact and successes of 
high-performance computing (HPC) throughout our world. Presentations, 
emphasizing achievements and opportunities in HPC, are intended for the 
broad international community, especially students and newcomers to the 
field. Supercomputing Spotlights is an outreach initiative of 
SIAG/Supercomputing (https://urldefense.us/v3/__https://siag-sc.org__;!!G_uCfscf7eWS!Y48nEzltX5FGmA4-h1KSbvblxBGSesUDdc8oKABQxKnKnyeAJ98VWr_sCE5HlK1JlSndSVeJv_Fo7WDqYYRsMMC59h4A0nw$ ) …  Join us!

Abstract: The future of simulations lies in leveraging hardware features 
designed for the AI market, particularly in low-precision computations. 
Modern NVIDIA GPUs exemplify this trend, offering significant 
performance gains through low-precision computations, resulting in 
reduced elapsed time, smaller memory footprints, and energy savings. We 
harness these capabilities to develop fast mixed-precision linear 
algebra algorithms. Our adaptive precision conversion strategy 
dynamically adjusts computation accuracy, maintaining high precision 
only where necessary within the matrix operator, while still meeting 
application-worthy precision requirements. This talk will illustrate how 
these algorithms revolutionize computational efficiency for geospatial 
statisticians, bioinformaticians, and geophysicists, having significant 
implications for environmental computational statistics, genome-wide 
association studies in computational biology, and seismic imaging for 
CO2 sequestration.

Bio: Hatem holds the position of Principal Research Scientist at KAUST 
where he is also advising several KAUST students in their MS and PhD 
research. His research interests include parallel numerical algorithms. 
parallel programming models, mixed-precision computations, low-rank 
matrix approximations, performance optimizations for manycore 
architectures, and high performance computing. He has contributed to the 
integration of numerical algorithms into mainstream vendors' scientific 
libraries such as NVIDIA cuBLAS and HPE/Cray LibSci. He has been 
collaborating with domain scientists, i.e., astronomers, statisticians, 
computational chemists, bioinformaticians, and geophysicists on 
leveraging their applications to meet the challenges at exascale. He 
received best paper awards at EuroPar, ACM PASC, and IEEE ISC 
conferences. He was an ACM Gordon Bell Finalist (shared) in 2022, 2023, 
and 2024, and an ACM Gordon Bell Finalist for climate modeling (shared) 
in 2024.

Best regards,
The SIAG/SC officers for 2024-2025
Ulrike Meier Yang (chair)
Rio Yokota (vice chair)
Hartwig Anzt (program director)
Erin Carson (secretary)