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Jonathan Madsen

Senior Member Of Technical Staff at AMD

Jonathan Madsen is currently a member of the Application Performance
Group at Lawrence Berkeley National Lab in the National Energy
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Jonathan Madsen is currently a member of the Application Performance Group at Lawrence Berkeley National Lab in the National Energy Research Scientific Computing Center (NERSC) responsible for improving scientific throughput through optimization and migration of software to new architectures (e.g. GPUs).

Jonathan Madsen is a member of the C++ standards committee and he is currently working on four projects for the DOE's Exascale Computing Project (ECP): Kokkos, GeantX, Exabiome, and Containers for HPC.

He is a developer for the Monte Carlo particle transport code Geant4, which is used in high-energy physics, space radiation, and medical physics, and serve as the Deputy Working Group Coordinator for the Run, Event, and Detector Responses Working Group.

During his time as a post-doc at NERSC, he migrated a tomographic reconstruction code, TomoPy, to offload computations to the GPU and increased the scientific throughput by a factor exceeding 215x on 8 GPUs vs. the Edison supercomputer -- e.g. a reduction of ~6.5 hours to ~110 seconds.

His current focus is heterogeneous high-performance computing using C/C++, Python, MPI, CUDA, HIP, and Kokkos along with the development of generic tool called timemory for performance measurements, portability monitoring, and highly parallelized runtimes.
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Duration 26:54
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Performance Analysis with Timemory

Jonathan Madsen
Senior Member Of Technical Staff at AMD
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SciPy 2021
August 15, 2021, Online, USA
SciPy 2021
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Performance Analysis with Timemory

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