Piotr Luszczek received PhD for sparse direct and iterative methods for linear systems of equations with optimized computational kernels. Subsequently, he worked on out-of-core linear solvers, self-adaptation and autotuning software. He co-designed parallel programming languages in industrial and governmental lab positions. He publishes conferences and journal articles as well as books chapters and patents. The major themes of his research work are performance modeling and evaluation in the context of tuning of parallelizing compilers as well as energy-conscious aspects of heterogeneous and embedded computing. Throughout his professional career, Luszczek is the principal developer of established industry benchmarks: HPL, HPCC, and HPCG.
AI/Machine Learning/Deep Learning
Big Data Analytics
Clouds and Distributed Computing