Seismic full-waveform inversion (FWI) for imaging Earth's interior was introduced in the late
1970s. Its ultimate goal is to use all of the information in a seismogram to understand the …

The high-performance computing I/O stack has been complex due to multiple software
layers, the inter-dependencies among these layers, and the different performance tuning …

Learn to understand and implement the latest machine learning innovations to improve your
investment performance Machine learning (ML) is changing virtually every aspect of our …

Existing systems for video-based pose estimation and tracking struggle to perform well on
realistic videos with multiple people and often fail to output body-pose trajectories consistent …

We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2
addresses scientific data management needs ranging from scalable I/O in supercomputers …

Building on global adjoint tomography model GLAD-M15, we present transversely isotropic
global model GLAD-M25, which is the result of 10 quasi-Newton tomographic iterations with …

We present the first-generation global tomographic model constructed based on adjoint
tomography, an iterative full-waveform inversion technique. Synthetic seismograms were …

The considerable interest in the high performance computing (HPC) community regarding
analyzing and visualization data without first writing to disk, ie, in situ processing, is due to …

Scientific simulations generate large amounts of floating-point data, which are often not very
compressible using the traditional reduction schemes, such as deduplication or lossless …

We present a high-resolution simulation of the 2004 Sumatra-Andaman earthquake,
including non-linear frictional failure on a megathrustsplay fault system. Our method exploits …