Thuwal, Saudi Arabia 23955 | 0544700705 | samar.aseeri@kaust.edu.sa

SAMAR ASEERI

PROFESSIONAL

SUMMARY

Dedicated Computational Scientist with experience in achieving tangible results and

cross-team collaboration. Proactive and excited to partner with like-minded individuals

to achieve goals.

EXPERIENCE

COMPUTATIONAL SCIENTIST 10/2010 to Current

King Abdullah University ofScience and Technology, Saudi Arabia, Thuwal

• Before joining KAUST, she was trained in supercomputing at IBM's Thomas J Watson

Research Center in Yorktown Heights, NY

• She provided support to the Shaheen user community at the KAUST Supercomputing

Laboratory (KSL) and is currently focusing on research at KAUST's Extreme Computing

Research Center (ECRC).

CORE

QUALIFICATIONS

• Knowledge of: FFT

library packages

(2dcomp&fft, FFTE,

FFTK), OpenFOAM CFD

software and

performance tools such

as Scalasc, TAU, Extrae.

Python, Fortran and C

programming languages

and linux/unix

commands. OpenMPI

and OpenMP

parallelization libraries,

Visualization Tools

(Paraview and Visit).

Experiance with HPC

platforms CPU, GPU,

ARM and AMD.

Numerical methods for

solving PDE's such FVM

and Spectral Method.

• Communication skills: I

have prepared and

delivered outreach

presentations to engage

people in high-

performance computing,

such as WEP lectures

and KAUST SC'22 booth

talk, and contributed to

the KAUST Open

Research Week 2021

with a lecture about a

tool on Shaheen II. I also

write blog articles about

venues I have organized.

• Research Management: I

have led initiatives to

form HPC communities

for FFT in the Exascale

era and for

benchmarking in the data

center. I have also

managed research

endeavors starting from

an idea, proposing

collaborators, distributing

tasks and writing and

submitting papers.

EDUCATION

Umm Al-Qura University, Makkah, Saudi Arabia

Bachelor, Master and Ph.D, Applied Mathematics, 2009

• Member of SIAM, ACM and IEEE

ACCOMPLISHMENTS

• WEBSITES

http://www.fft.report/index.html,

https://parallel.computer,

http://parallelbenchmark.com/

• SIAM BLOGS

https://sinews.siam.org/About-the-

Author/samar-aseeri

INTERESTS

I am interested in the broad area of high-performance computing. My current research

interests are Fast Fourier Transform (FFT) library algorithms, benchmarks and its

implementations; Scalable Performance Tools; Parallel Hardware Benchmarking; and

application performance analysis.

CONFERENCES AND

VENUE OUTREACH

• HPBench Special Session at HPCS conference. During years: 2014, 2015, 2016, 2017,

2018, 2019 and the Virtual 2020 Session

• HPCS 2020, Virtual - Run a Special Session

• HPCS 2019, Dublin - Run a Special Session

• HPCS 2018, Orleans - Run a Special Session

• HPCS 2017, Genoa - Run a Special Session

• HPCS 2016, Innsbruck - Run a Special Session

• HPC Asia 2021, Virtual - Present a paper

• HPC Asia 2019, Guangzhou - Chair a Workshop

• HiPC 2018, Bengaluru - Chair a Workshop

• IXPUG Middle East Conference 2018, KAUST - Present a lightning talk

• SC 2018, Dallas - Present a lightning talk and help in KAUST Booth

• SC 2017, Denver - Run a BoF and help in the KAUST booth

• SC'22 - Give a KAUST Booth talk and to attend

• ISC'22 - Attend

• ISC 2019, Frankfurt - Attend

• ISC 2018, Frankfurt - Run a BoF

• ISC 2017, Frankfort - Attend

• PPoPP 2022, Virtual - Chair a workshop

• PPoPP 2021, Virtual - Chair a workshop

• PPoPP 2020, San Diego - Chair a Workshop

• PPoPP 2022, Virtual - Mini-symposium

• SIAM Parallel Processing 2022, Virtual - Mini-symposium

• SIAM Parallel Processing 2020 - Workshop at HPC PPoPP 2020

• SIAM Parallel Processing 2020 Seattle - Organize a two-part mini-symposium and give

a talk

• SIAM PP 2020, Tokyo - Organize a mini-symposium and give a presentation

• SIAM CSE 2021, Virtual - Organize a one-part mini-symposium and give a talk

• SIAM CSE 2019, Spokane - Organize a two-part mini-symposium and give a talk and

present a poster

• Mini-symposium at SIAM CSE19

• Mini-symposium at SIAM Parallel Processing 2020

• Mini-symposium at SIAM CSE21 (Virtual)

• Mini-symposium at SIAM Parallel Processing 2022 (Virtual)

• Workshop at HPC PPoPP 2020

• Workshop at HPC PPoPP 2021 (Virtual)

• Workshop at HPC PPoPP 2022 (Virtual)

• CUG 2021, Virtual - Run a BoF

• CUG 2019, Montreal - Attend

• Birds of Feather at CUG 2021 (Virtual)

• ICPE 2019 Mumbai - Paper presentation

• BenchCouncil 2019 and SC'19, Denver - Present a paper and help in KAUST Booth

• SpringSim 2015, Alexandria (Virginia) - Present a paper

• M3HPCST 2015, Ghaziabad - Give an invited talk

CERTIFICATION

• Chair of HPBench special session at HPCS IEEE conference since 2014

• PC member for Project Poster at ISC19

• PC member for Posters at WHPC Summit20

• PC member for ESM2 Workshop at SC'20, SC'21 and SC'22

• Hosted guests of KAUST-ECRC and KAUST-PSE in 2018 and 2019

• Mentored Liem Radita Tapaning Hestl for Women in HPC workshop at ISC 2017

• Co-mentored a High School student for the SRSI program at KAUST

• Contributed to the KVL two-day workshop: HPC Visualization with ParaView, Apr 23-24,

2014

• Attended training courses on PRACE, Cray XC30, OpenFOAM Programming, and VI-HPS

Tuning Workshop in Germany

• Visited HPC centers including Barcelona Supercomputing Center, Jülich Research

Center, and UCSD Supercomputer Center

• Experience in Shaheen I at KAUST, Stampede at TACC, Mira at ANL, K computer at

RIKEN, SANAM at KACST, and Titan at ORNL

• Currently have access to Shaheen II and Ibex at KAUST, Fugaku at RIKEN, Jureca at JSC,

and Isambard ARM in Bristol

• Organized more than 15 technical meetings

RESEARCH PAPERS

• Rogowski, M., Aseeri, S. A., Keyes, D. E., & Dalcin, L. (2022). MPI4py.futures: MPI-based

asynchronous task execution for Python. IEEE Transactions on Parallel and Distributed

Systems, 1-12. DOI: https://doi.org/10.1109/tpds.2022.3225481

• Leu, B., Aseeri, S., & Muite, B. (2021, January). A Comparison of Parallel Profiling Tools

for Programs utilizing the FFT. In Proceedings of the IXPUG'21 Workshop at

HPCAsia'21.DOI: http://dx.doi.org/10.1145/3440722.3440881.

• Aseeri, S., Chatterjee, A., Verma, M., & Keyes, D. (2021). A scheduling policy to improve

10% of communication time in parallel FFT. In Proceedings of CUG 2020. Concurrency

and Computation: Practice and Experience (CCPE) (to appear). DOI:

https://onlinelibrary.wiley.com/doi/10.1002/cpe.6508

• Muite, B. K., & Aseeri, S. (2020). Benchmarking solvers for the one-dimensional cubic

nonlinear Klein Gordon equation on a single core. In W. Gao, J. Zhan, G. Fox, X. Lu, & D.

Stanzione (Eds.), Bench 2019: Benchmarking, Measuring, and Optimizing (pp. 172-184).

Springer. DOI: https://link.springer.com/chapter/10.1007/978-3-030-49556-5_18.

• Aseeri, S., & Muite, B. K. (2020). Benchmarking in the datacenter (BID) 2020: workshop

summary. In Proceedings of the Workshop on Benchmarking in the Datacenter (BID

'20) (Article 1). ACM. DOI: https://doi.org/10.1145/3380868.3398198.

• Aseeri, S., Muite, B. K., & Takahashi, D. (2019). Reproducibility in Benchmarking Parallel

Fast Fourier Transform based Applications. In Companion of the 2019 ACM/SPEC

International Conference on Performance Engineering - ICPE'19 (pp. 5-8). ACM. DOI:

https://dl.acm.org/doi/10.1145/3302541.3313105.

• Aseeri, S., et al. (2015, April). Solving the Klein-Gordon equation using Fourier spectral

methods: A benchmark test for computer performance. In Proceedings of the 23rd

High Performance Computing Symposium (HPC 2015) (pp. 1-8). ACM.Rogowski, M.,

Aseeri, S. A., Keyes, D. E., & Dalcin, L. (2022). MPI4py.futures: MPI-based asynchronous

task execution for Python. IEEE Transactions on Parallel and Distributed Systems, 1-12.

DOI: https://dl.acm.org/doi/10.5555/2872599.2872622 .