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 March 26 at 9:00pm CET / 4:00pm ET, Reservoir Labs’ Dr. Benoit Meister presents recent research on “Trading off Latency for Memory Bandwidth in Spatial Architectures using the Polyhedral Model” at the International Conference on HPC & Simulation (HPCS),
On January 20, 2021 at the 11th International Workshop on Polyhedral Compilation Techniques (IMPACT), Reservoir Labs presents its latest paper, “Static Versioning in the Polyhedral Model,” authored by Adithya Dattatri and Dr. Benoit Meister. This workshop is in conjunction
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
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
As the growing availability of computational power slows, there has been an increasing reliance on algorithmic advances. However, faster algorithms alone will not necessarily bridge the gap in allowing computational scientists to study problems at the edge of scientific discovery in the next several decades. Often, it is necessary to
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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