23 citations · 34 across the 9 of their papers we have counts for
9 papers
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing
Haochen Pan, Ryan Chard, Sicheng Zhou +7
Scientific research increasingly relies on distributed computational resources, storage systems, networks, and instruments, ranging from HPC and cloud systems to edge devices. Even…
Exploring Benchmarks for Self-Driving Labs using Color Matching
Tobias Ginsburg, Kyle Hippe, Ryan Lewis +6
Self Driving Labs (SDLs) that combine automation of experimental procedures with autonomous decision making are gaining popularity as a means of increasing the throughput of scient…
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers
Alexander Brace, Rafael Vescovi, Ryan Chard +4
The Dynamic PicoProbe at Argonne National Laboratory is undergoing upgrades that will enable it to produce up to 100s of GB of data per day. While this data is highly important for…
Towards a Modular Architecture for Science Factories
Rafael Vescovi, Tobias Ginsburg, Kyle Hippe +14
Advances in robotic automation, high-performance computing (HPC), and artificial intelligence (AI) encourage us to conceive of science factories: large, general-purpose computation…
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences
Rafael Vescovi, Ryan Chard, Nickolaus Saint +10
Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s. Online analysis methods are needed to enable the collection of only interesting subset…
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data
Rafael Vescovi, Hanyu Li, Jeffery Kinnison +5
We present a fully modular and scalable software pipeline for processing electron microscope (EM) images of brain slices into 3D visualization of individual neurons and demonstrate…
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping
Wushi Dong, Murat Keceli, Rafael Vescovi +9
Mapping all the neurons in the brain requires automatic reconstruction of entire cells from volume electron microscopy data. The flood-filling network (FFN) architecture has demons…
X-ray tomography of extended objects: a comparison of data acquisition approaches
Ming Du, Rafael Vescovi, Kamel Fezzaa +2
The penetration power of x-rays allows one to image large objects. For example, centimeter-sized specimens can be imaged with micron-level resolution using synchrotron sources. In…
Compact arrangement for femtosecond laser induced generation of broadband hard x-ray pulses
Carlos Giles, Rafael Celestre, Kelin R. Tasca +5
We present a simple apparatus for femtosecond laser induced generation of X-rays. The apparatus consists of a vacuum chamber containing an off-axis parabolic focusing mirror, a ree…