Full spectrum 3D forward simulations and inverse methods
Designed for full spectrum three-dimensional forward simulations and inversion, particularly Extremely Low Frequency (ELF) & Very Low Frequency (VLF) electromagnetic (EM) waves, PARFAITE’s improved performance provides superresolution images quickly.
PARFAITE is based on new patented algorithm advances to perform this forward simulation and inversion in linear time, making problems that would otherwise be intractable, feasible in low-power, low-footprint form factors. PARFAITE can provide quantitative resolution estimates that are measurably better than current state-of-the-art.
PARFAITE’s unique framework is highly versatile and can treat a broad array of complex three-dimensional structures, including earth, water, and buildings.
PARFAITE’s imaging and localization techniques achieve resolution levels significantly beyond any existing low-frequency techniques.
PARFAITE provides full spectrum forward simulations and inversion needed to image, localize and interpret scattering at low frequencies. Coupled with new approaches for transmitting and receiving low frequency signals, PARFAITE opens up decisive new capabilities in defense and science.
PARFAITE relies on state-of-the-art algorithms and software implementation. Large-scale problems can be solved in minutes on a small workstation without the need for expensive resources.
On October 27-28, the 13th Annual Concurrent Collections (CnC) Workshop will be held at the SUNY Global Center in NYC, emphasizing parallel programming models for mainstream programmers that philosophically differs from other approaches. The morning of Thursday, October 28, Reservoir
Dr. Harper Langston, Technical Lead, Algorithms & Sensors, presents a poster, “Fast Multipole Method (FMM)-based Particle Accelerator Simulations in the Context of Tune Depression Studies,” at the 18th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2021).
This year at the High Performance Extreme Computing Conference (HPEC), happening virtually from September 20- 24, Reservoir Labs presents four research papers: Knowledge-guided Tensor Decomposition for Baselining and Anomaly Detection (in collaboration with UMD’s Laboratory for Physical Sciences) An All-at-Once
As part of the MACH-B (Multipole Accelerator Codes for Hadron Beams) project, Reservoir Labs has developed a\ Fast Multipole Method (FMM [1–7])-based tool for higher fidelity modeling of particle accelerators for high-energy physics within Fermilab’s Synergia [8, 9] simulation pack- age. We present results from our implementations with a focus
Reservoir Labs, through a project titled MACH- B (Multipole Accelerator Codes for Hadron Beams), is developing a Fast Multipole Method [1]–[7] (FMM)-based tool for higher fidelity modeling of particle accelerators for high-energy physics with an initial focus on the next generation of Fermi- lab’s Synergia simulation package [8]. MACH-B incorporates
The ever increasing demands placed upon machine performance have resulted in the need for more comprehensive particle accelerator modeling. Computer simulations are key to the success of particle accelerators. Many aspects of particle accelerators rely on computer modeling at some point, sometimes requiring complex simulation tools and massively parallel supercomputing.
632 Broadway, Suite 803
New York, New York 10012
