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.

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Core Capabilities

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.

The Latest

LLVM Virtual Developers’ Meeting Oct 6-8, 2020

The LLVM Developers’ Meeting gathers developers and users of LLVM, Clang, and related subprojects to learn the latest in novel compiler & toolchain technology through technical talks, BoFs, posters, networking and more.    Reservoir Labs is proud to sponsor this

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Recent Publications

MACH-B: Fast Multipole Method Approaches in Particle Accelerator Simulations for the Computational and Intensity Frontiers

The MACH-B (Multipole Accelerator Codes for Hadron Beams) project is developing a Fast Multipole Method [1–7] (FMM)-based tool for higher fidelity modeling of particle accelerators for high-energy physics within the next generation of Fermilab’s Synergia simulation package [8]. MACH-B incorporates (1) highly-scalable, high-performance and generally-applicable FMM-based algorithms [5–7, 9] to

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On the Bottleneck Structure of Congestion-Controlled Networks

In this paper, we introduce the Theory of Bottleneck Ordering, a mathematical framework that reveals the bottleneck structure of data networks. This theoretical framework provides insights into the inherent topological properties of a network at least in three areas: (1) It identifies the regions of influence of each bottleneck; (2)

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