Writing, Benchmarking, and Reproducibility of HPC Research Papers

This talk presents some guidelines for writing an HPC research paper. We will start discussing how to organize and present research ideas.
We then analyze good and bad practices in benchmarking and results presentation with practical and interactive examples. We discuss some common mistakes that might impact the results’ meaningfulness and interpretability. Last, we conclude by discussing how to guarantee the reproducibility of research results.

Speaker

Daniele De Sensi – Sapienza University of Rome & CINI lab HPC-KTT

Daniele De Sensi is a tenure-track Assistant Professor at the Department of Computer Science, Sapienza University of Rome. He was previously an ETH Fellow in the Scalable Parallel Computing Laboratory, ETH Zurich, and a postdoctoral researcher at the University of Pisa, where he received his Ph.D. in 2018.
He co-authored over 40 papers on high-performance networks for HPC systems and data centers, in-network computing, collective operations, parallel and distributed programming, and power-aware computing. He won the Best Reproducibility Advancement Award at SC22 and a Best Paper Honorable Mention at CCS22. He served, among others, on the Program Committee of SC, OSDI, IPDPS, ICPP, HPDC, HiPC, Euro-Par, and PDP.

Event Timeslots (1)

Wed 18 – Programming Models & Tools
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D. De Sensi (Sapienza University of Rome & CINI lab HPC-KTT)