Results for “global optimization” — Page 83

NASA NTRS1995

Results of an Automated GPS Tracking System in Support of Topex/Poseidon and GPSMet

A fully automated near real-time GPS tracking system has been developed around JPL's GIPSY/OASIS II software. The system produces <25 cm (3D rms) GPS orbits and one-half nanosecond (15 cm) clock estimates. The process starts automatically when a favorable global distribution of ground data from the IGS network (International GPS Service for Geodynamics) becomes available. Ionospherically corrected phase and pseudorange data are optimally combined to remove satellite and ground receiver clock errors, including selective availability. After the GPS orbits are determined within the data arc, they are then propagated with empirically determined dynamic force models. Real-time <2 meter (3D rms) GPS orbits are always available. As a by-product of this process, other calibration estimates such as station clocks, troposphere estimates, and Earth orientation parameters are also produced. For daily arc fits, the process requires 7-8 hours of CPU time on an HP9000/735 workstation.

GPS↗

DOE OSTI2016

WE-H-201-01: The Opportunities and Benefits of Helping LMICs: How Helping Them Can Help You

The desperate need for radiotherapy in low and mid-income countries (LMICs) has been well documented. Roughly 60 % of the worldwide incidence of cancer occurs in these resource-limited settings and the international community alongside governmental and non-profit agencies have begun publishing reports and seeking help from qualified volunteers. However, the focus of several reports has been on how dire the situation is and the magnitude of the problem, leaving most to feel overwhelmed and unsure as to how to help and why to get involved. This session will help to explain the specific ways that Medical Physicists can uniquely assist in this grand effort to help bring radiotherapy to grossly-underserved areas. Not only can these experts fulfill an important purpose, they also can benefit professionally, academically, emotionally and socially from the endeavor. By assisting others worldwide with their skillset, Medical Physicists can end up helping themselves. Learning Objectives: Understand the need for radiotherapy in LMICs. Understand which agencies are seeking Medical Physicists for help in LMICs. Understand the potential research funding mechanisms are available to establish academic collaborations with LMIC researchers/physicians. Understand the potential social and emotional benefits for both the physicist and the LMIC partners when collaborations are made. Understand the potential for collaboration with other high-income scientists that can develop as the physicist partners with other large institutions to assist LMICs. Wil Ngwa - A recent United Nations Study reports that in developing countries more people have access to cell phones than toilets. In Africa, only 63% of the population has access to piped water, yet, 93% of Africans have cell phone service. Today, these cell phones, Skype, WhatsApp and other information and communication technologies (ICTs) connect us in unprecedented ways and are increasingly recognized as powerful, indispensable to global health. Thanks to ICTs, there are growing opportunities for Medical Physicists to reach out beyond the bunker and impact the world far beyond, without even having to travel. These growing opportunities in global health for Medical Physicists, powered by ICTs, will be highlighted in this presentation, illustrated by high impact examples/models across the globe that are improving patient safety and healthcare outcomes, saving lives. Learning Objectives: Published definitions of global health and the emerging field of global radiation oncology Learn about the transformative potential of ICTs in global radiation oncology care, research and education with focus on Medical Physics Learn about high impact examples of ICT-powered global radiation oncology and the increasing opportunities for participation by Medical Physicists. Yakov Pipman - The number and scope of volunteer Medical Physics activities in support of low-to-middle income countries has been increasing gradually. This happens through a variety of formal channels and to some extent through less formal but personal initiatives. A good deal of effort is dedicated by many, but many more could be recruited through a structured framework to volunteer. We will look into typical volunteer activities and how they fit with organizations already involved in advancing Medical Physics in LMIC. We will identify the range of these organizational activities and their scope to reveal areas of further need. We will point to a few key features of MPWB ( http://www.mpwb.org ) as a volunteering and collaborating structure and how members can get involved and contribute to these efforts at the grass roots level. The goal is that scarce resources can thus be channeled to complement rather than compete with those already in place. Learning Objectives: Understand the strengths and limitations of various organizations that support Medical Physics efforts in LMIC. Learn about ways to volunteer and contribute to Global Health through a grass roots organization focused on Medical Physics in LMIC. Perry Sprawls - With the growing capability and complexity of medical imaging methods in all countries of the world, the expanding role of medical physicists includes optimizing imaging procedures with respect to image quality, radiation dose, and other conflicting factors. With access to appropriate educational resources local medical physicists in all countries can provide direct clinical support and educational for other medical professionals. This is being supported through the process of Collaborative Teaching that combines the capabilities and experience of medical physicists in countries spanning the spectrum of economic, technological, and clinical development. The supporting resources are on the web at: http://www.sprawls.org/resources . Learning Objectives: Identify the medical physics educational needs to support effective and optimized medical imaging procedures. Use collaborative teaching resources to enhance the role of medical physicists in all countries of the world.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2016

WE-H-201-03: Enthusiasm and Generosity of Spirit Necessitate a Volunteering Structure to Make Them More Meaningful

The desperate need for radiotherapy in low and mid-income countries (LMICs) has been well documented. Roughly 60 % of the worldwide incidence of cancer occurs in these resource-limited settings and the international community alongside governmental and non-profit agencies have begun publishing reports and seeking help from qualified volunteers. However, the focus of several reports has been on how dire the situation is and the magnitude of the problem, leaving most to feel overwhelmed and unsure as to how to help and why to get involved. This session will help to explain the specific ways that Medical Physicists can uniquely assist in this grand effort to help bring radiotherapy to grossly-underserved areas. Not only can these experts fulfill an important purpose, they also can benefit professionally, academically, emotionally and socially from the endeavor. By assisting others worldwide with their skillset, Medical Physicists can end up helping themselves. Learning Objectives: Understand the need for radiotherapy in LMICs. Understand which agencies are seeking Medical Physicists for help in LMICs. Understand the potential research funding mechanisms are available to establish academic collaborations with LMIC researchers/physicians. Understand the potential social and emotional benefits for both the physicist and the LMIC partners when collaborations are made. Understand the potential for collaboration with other high-income scientists that can develop as the physicist partners with other large institutions to assist LMICs. Wil Ngwa - A recent United Nations Study reports that in developing countries more people have access to cell phones than toilets. In Africa, only 63% of the population has access to piped water, yet, 93% of Africans have cell phone service. Today, these cell phones, Skype, WhatsApp and other information and communication technologies (ICTs) connect us in unprecedented ways and are increasingly recognized as powerful, indispensable to global health. Thanks to ICTs, there are growing opportunities for Medical Physicists to reach out beyond the bunker and impact the world far beyond, without even having to travel. These growing opportunities in global health for Medical Physicists, powered by ICTs, will be highlighted in this presentation, illustrated by high impact examples/models across the globe that are improving patient safety and healthcare outcomes, saving lives. Learning Objectives: Published definitions of global health and the emerging field of global radiation oncology Learn about the transformative potential of ICTs in global radiation oncology care, research and education with focus on Medical Physics Learn about high impact examples of ICT-powered global radiation oncology and the increasing opportunities for participation by Medical Physicists. Yakov Pipman - The number and scope of volunteer Medical Physics activities in support of low-to-middle income countries has been increasing gradually. This happens through a variety of formal channels and to some extent through less formal but personal initiatives. A good deal of effort is dedicated by many, but many more could be recruited through a structured framework to volunteer. We will look into typical volunteer activities and how they fit with organizations already involved in advancing Medical Physics in LMIC. We will identify the range of these organizational activities and their scope to reveal areas of further need. We will point to a few key features of MPWB ( http://www.mpwb.org ) as a volunteering and collaborating structure and how members can get involved and contribute to these efforts at the grass roots level. The goal is that scarce resources can thus be channeled to complement rather than compete with those already in place. Learning Objectives: Understand the strengths and limitations of various organizations that support Medical Physics efforts in LMIC. Learn about ways to volunteer and contribute to Global Health through a grass roots organization focused on Medical Physics in LMIC. Perry Sprawls - With the growing capability and complexity of medical imaging methods in all countries of the world, the expanding role of medical physicists includes optimizing imaging procedures with respect to image quality, radiation dose, and other conflicting factors. With access to appropriate educational resources local medical physicists in all countries can provide direct clinical support and educational for other medical professionals. This is being supported through the process of Collaborative Teaching that combines the capabilities and experience of medical physicists in countries spanning the spectrum of economic, technological, and clinical development. The supporting resources are on the web at: http://www.sprawls.org/resources . Learning Objectives: Identify the medical physics educational needs to support effective and optimized medical imaging procedures. Use collaborative teaching resources to enhance the role of medical physicists in all countries of the world.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2020

Data optimization for large batch distributed training of deep neural networks

Distributed training in deep learning (DL) is common practice as data and models grow. The current practice for distributed training of deep neural networks faces the challenges of communication bottlenecks when operating at scale, and model accuracy deterioration with an increase in global batch size. Present solutions focus on improving message exchange efficiency as well as implementing techniques to tweak batch sizes and models in the training process. The loss of training accuracy typically happens because the loss function gets trapped in a local minima. We observe that the loss landscape minimization is shaped by both the model and training data and propose a data optimization approach that utilizes machine learning to implicitly smooth out the loss landscape resulting in fewer local minima. Our approach filters out data points which are less important to feature learning, enabling us to speed up the training of models on larger batch sizes to improved accuracy.

Gahlot, Shubhankar↗

DOE OSTI2024

Membrane Contactors for Ammonia Recovery from Anaerobic Digester Centrate: Pretreatment and Process Optimization

Haber-Bosch process allows for the production of modern fertilizers and is crucial for meeting increasing demands for agricultural production. The process requires large amounts of natural gas and contributes to global warming. An alternative to the Haber-Bosch process utilizes membrane contactors to recover nitrogen from the anaerobic digester centrate. In previous studies, high recoveries have been achieved, but membrane fouling decreased the performance and required maintenance to clean the membranes. Furthermore, this study investigated the effect of a settling and ultrafiltration system to pretreat centrate from an anaerobic digester to prevent fouling of the membrane contactor system. The system achieved high recoveries of over 90% for 10 cycles without any performance decline. Tests with increasing distillate concentrations of ammonium sulfate up to 165,000 mg/L-N could not identify a significant decline in membrane performance either. This allows for concentration up to crystallization in a single stage.

09 BIOMASS FUELS↗

NASA NTRS1992

Lightning Imaging Sensor (LIS) for the Earth Observing System

Not only are scientific objectives and instrument characteristics given of a calibrated optical LIS for the EOS but also for the Tropical Rainfall Measuring Mission (TRMM) which was designed to acquire and study the distribution and variability of total lightning on a global basis. The LIS can be traced to a lightning mapper sensor planned for flight on the GOES meteorological satellites. The LIS consists of a staring imager optimized to detect and locate lightning. The LIS will detect and locate lightning with storm scale resolution (i.e., 5 to 10 km) over a large region of the Earth's surface along the orbital track of the satellite, mark the time of occurrence of the lightning, and measure the radiant energy. The LIS will have a nearly uniform 90 pct. detection efficiency within the area viewed by the sensor, and will detect intracloud and cloud-to-ground discharges during day and night conditions. Also, the LIS will monitor individual storms and storm systems long enough to obtain a measure of the lightning flashing rate when they are within the field of view of the LIS. The LIS attributes include low cost, low weight and power, low data rate, and important science. The LIS will study the hydrological cycle, general circulation and sea surface temperature variations, along with examinations of the electrical coupling of thunderstorms with the ionosphere and magnetosphere, and observations and modeling of the global electric circuit.

Christian, Hugh J.↗

DOE OSTI2016

WE-H-201-04: Models for Developing Medical Physics Educators and Education Programs in the Developing Countries and the Potential Role of US Universities and Individual Medical Physicists

The desperate need for radiotherapy in low and mid-income countries (LMICs) has been well documented. Roughly 60 % of the worldwide incidence of cancer occurs in these resource-limited settings and the international community alongside governmental and non-profit agencies have begun publishing reports and seeking help from qualified volunteers. However, the focus of several reports has been on how dire the situation is and the magnitude of the problem, leaving most to feel overwhelmed and unsure as to how to help and why to get involved. This session will help to explain the specific ways that Medical Physicists can uniquely assist in this grand effort to help bring radiotherapy to grossly-underserved areas. Not only can these experts fulfill an important purpose, they also can benefit professionally, academically, emotionally and socially from the endeavor. By assisting others worldwide with their skillset, Medical Physicists can end up helping themselves. Learning Objectives: Understand the need for radiotherapy in LMICs. Understand which agencies are seeking Medical Physicists for help in LMICs. Understand the potential research funding mechanisms are available to establish academic collaborations with LMIC researchers/physicians. Understand the potential social and emotional benefits for both the physicist and the LMIC partners when collaborations are made. Understand the potential for collaboration with other high-income scientists that can develop as the physicist partners with other large institutions to assist LMICs. Wil Ngwa - A recent United Nations Study reports that in developing countries more people have access to cell phones than toilets. In Africa, only 63% of the population has access to piped water, yet, 93% of Africans have cell phone service. Today, these cell phones, Skype, WhatsApp and other information and communication technologies (ICTs) connect us in unprecedented ways and are increasingly recognized as powerful, indispensable to global health. Thanks to ICTs, there are growing opportunities for Medical Physicists to reach out beyond the bunker and impact the world far beyond, without even having to travel. These growing opportunities in global health for Medical Physicists, powered by ICTs, will be highlighted in this presentation, illustrated by high impact examples/models across the globe that are improving patient safety and healthcare outcomes, saving lives. Learning Objectives: Published definitions of global health and the emerging field of global radiation oncology Learn about the transformative potential of ICTs in global radiation oncology care, research and education with focus on Medical Physics Learn about high impact examples of ICT-powered global radiation oncology and the increasing opportunities for participation by Medical Physicists. Yakov Pipman - The number and scope of volunteer Medical Physics activities in support of low-to-middle income countries has been increasing gradually. This happens through a variety of formal channels and to some extent through less formal but personal initiatives. A good deal of effort is dedicated by many, but many more could be recruited through a structured framework to volunteer. We will look into typical volunteer activities and how they fit with organizations already involved in advancing Medical Physics in LMIC. We will identify the range of these organizational activities and their scope to reveal areas of further need. We will point to a few key features of MPWB ( http://www.mpwb.org ) as a volunteering and collaborating structure and how members can get involved and contribute to these efforts at the grass roots level. The goal is that scarce resources can thus be channeled to complement rather than compete with those already in place. Learning Objectives: Understand the strengths and limitations of various organizations that support Medical Physics efforts in LMIC. Learn about ways to volunteer and contribute to Global Health through a grass roots organization focused on Medical Physics in LMIC. Perry Sprawls - With the growing capability and complexity of medical imaging methods in all countries of the world, the expanding role of medical physicists includes optimizing imaging procedures with respect to image quality, radiation dose, and other conflicting factors. With access to appropriate educational resources local medical physicists in all countries can provide direct clinical support and educational for other medical professionals. This is being supported through the process of Collaborative Teaching that combines the capabilities and experience of medical physicists in countries spanning the spectrum of economic, technological, and clinical development. The supporting resources are on the web at: http://www.sprawls.org/resources . Learning Objectives: Identify the medical physics educational needs to support effective and optimized medical imaging procedures. Use collaborative teaching resources to enhance the role of medical physicists in all countries of the world.

60 APPLIED LIFE SCIENCES↗

NASA NTRS2017

Joint Assimilation of SMOS Brightness Temperature and GRACE Terrestrial Water Storage Observations for Improved Soil Moisture Estimation

Observations from recent soil moisture missions (e.g. SMOS) have been used in innovative data assimilation studies to provide global high spatial (i.e. 40 km) and temporal resolution (i.e. 3-days) soil moisture profile estimates from microwave brightness temperature observations. In contrast with microwave-based satellite missions that are only sensitive to near-surface soil moisture (0 - 5 cm), the Gravity Recovery and Climate Experiment (GRACE) mission provides accurate measurements of the entire vertically integrated terrestrial water storage column but, it is characterized by low spatial (i.e. 150,000 km2) and temporal (i.e. monthly) resolutions. Data assimilation studies have shown that GRACE-TWS primarily affects (in absolute terms) deeper moisture storages (i.e., groundwater). This work hypothesizes that unprecedented soil water profile accuracy can be obtained through the joint assimilation of GRACE terrestrial water storage and SMOS brightness temperature observations. A particular challenge of the joint assimilation is the use of the two different types of measurements that are relevant for hydrologic processes representing different temporal and spatial scales. The performance of the joint assimilation strongly depends on the chosen assimilation methods, measurement and model error spatial structures. The optimization of the assimilation technique constitutes a fundamental step toward a multi-variate multi-resolution integrative assimilation system aiming to improve our understanding of the global terrestrial water cycle.

Soil Moisture↗

NASA NTRS2020

Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales

Fire emissions of gases and aerosols alter atmospheric composition and have substantial impacts on climate, ecosystem function, and human health. Warming climate and human expansion in fire‐prone landscapes exacerbate fire impacts and call for more effective management tools. Here we developed a global fire forecasting system that predicts monthly emissions using past fire data and climate variables for lead times of 1 to 6 months. Using monthly fire emissions from the Global Fire Emissions Database (GFED) as the prediction target, we fit a statistical time series model, the Autoregressive Integrated Moving Average model with eXogenous variables (ARIMAX), in over 1,300 different fire regions. Optimized parameters were then used to forecast future emissions. The forecast system took into account information about region‐specific seasonality, long‐term trends, recent fire observations, and climate drivers representing both large‐scale climate variability and local fire weather. We cross‐validated the forecast skill of the system with different combinations of predictors and forecast lead times. The reference model, which combined endogenous and exogenous predictors with a 1 month forecast lead time, explained 52% of the variability in the global fire emissions anomaly, considerably exceeding the performance of a reference model that assumed persistent emissions during the forecast period. The system also successfully resolved detailed spatial patterns of fire emissions anomalies in regions with significant fire activity. This study bridges the gap between the efforts of near‐real‐time fire forecasts and seasonal fire outlooks and represents a step toward establishing an operational global fire, smoke, and carbon cycle forecasting system.

vapor pressure↗

NASA NTRS2019

Enhancing GPM Passive and Combined Microwave Algorithms with Dynamic Surface Information for Drizzle Retrieval and Improved Precipitation Detection Over Land

Following the 2014 launch of the Global Precipitation Measurement Mission (GPM), an unprecedented combination of coincident active and passive microwave observations are available for state of the art precipitation retrieval. The GPM Combined Algorithm forms the backbone of this effort, optimizing geophysical variables for agreement with the full suite of multi-spectral information content. These combined retrievals are then utilized, along with a radiative transfer model, as a database applied for retrievals across a constellation of passive microwave radiometers of varying frequencies. By keeping such retrievals related through the transfer standard of the combined algorithm, level 3 products such as the Integrated Multi-satellitE Retrievals for GPM (IMERG) are able to provide consistent global products for users at the higher temporal resolution required for hydrological applications. In initial versions of the combined product, precipitation retrievals are carried out only in the presence of a signal from the active radar. As a result, light precipitation and drizzle below the threshold of DPR sensitivity are not included in any of the products down the chain from the constellation to IMERG. In this work, the effects of enhancing the retrievals with a surface emissivity and non-raining water vapor retrieval using the passive observations are explored. Over both ocean and land, the surface retrieval is used to identify areas with high probability of light precipitation and drizzle which is then quantified using techniques derived from the higher sensitivity CloudSat mission. Results indicate successful inclusion of drizzle in the retrievals that can then be included in the constellation databases, as well as improvement in passive microwave false positive precipitation signals over land in cases where surface scattering was misinterpreted as precipitation signal. The inclusion of the dynamic surface information also creates a more robust, radiometrically consistent retrieval scheme for process studies and hydrologic applications.

Ringerud, Sarah↗

DOE OSTI2022

Itaconic acid production is regulated by LaeA in Aspergillus pseudoterreus

The global regulator LaeA controls secondary metabolism in diverse Aspergillus species. Here we explored its role in regulation of itaconic acid production in Aspergillus pseudoterreus. To understand its role in regulating metabolism, we deleted and overexpressed laeA, and assessed the transcriptome, proteome, and secreted metabolome prior to and during initiation of phosphate limitation induced itaconic acid production. We found that secondary metabolite clusters, including the itaconic acid biosynthetic gene cluster, are regulated by laeA and that laeA is required for high yield production of itaconic acid. Overexpression of laeA improves itaconic acid yield at the expense of biomass by increasing the expression of key biosynthetic pathway enzymes and attenuating the expression of genes involved in phosphate acquisition and scavenging. Increased yield was observed in optimized conditions as well as conditions containing excess nutrients that may be present in inexpensive sugar containing feedstocks such as excess phosphate or complex nutrient sources. This suggests that global regulators of metabolism may be useful targets for engineering metabolic flux that is robust to environmental heterogeneity.

59 BASIC BIOLOGICAL SCIENCES↗

DOE OSTI2016

WE-H-201-02: Emerging Models and Opportunities in Global Health for Medical Physicists Powered by Information and Communication Technologies

The desperate need for radiotherapy in low and mid-income countries (LMICs) has been well documented. Roughly 60 % of the worldwide incidence of cancer occurs in these resource-limited settings and the international community alongside governmental and non-profit agencies have begun publishing reports and seeking help from qualified volunteers. However, the focus of several reports has been on how dire the situation is and the magnitude of the problem, leaving most to feel overwhelmed and unsure as to how to help and why to get involved. This session will help to explain the specific ways that Medical Physicists can uniquely assist in this grand effort to help bring radiotherapy to grossly-underserved areas. Not only can these experts fulfill an important purpose, they also can benefit professionally, academically, emotionally and socially from the endeavor. By assisting others worldwide with their skillset, Medical Physicists can end up helping themselves. Learning Objectives: Understand the need for radiotherapy in LMICs. Understand which agencies are seeking Medical Physicists for help in LMICs. Understand the potential research funding mechanisms are available to establish academic collaborations with LMIC researchers/physicians. Understand the potential social and emotional benefits for both the physicist and the LMIC partners when collaborations are made. Understand the potential for collaboration with other high-income scientists that can develop as the physicist partners with other large institutions to assist LMICs. Wil Ngwa - A recent United Nations Study reports that in developing countries more people have access to cell phones than toilets. In Africa, only 63% of the population has access to piped water, yet, 93% of Africans have cell phone service. Today, these cell phones, Skype, WhatsApp and other information and communication technologies (ICTs) connect us in unprecedented ways and are increasingly recognized as powerful, indispensable to global health. Thanks to ICTs, there are growing opportunities for Medical Physicists to reach out beyond the bunker and impact the world far beyond, without even having to travel. These growing opportunities in global health for Medical Physicists, powered by ICTs, will be highlighted in this presentation, illustrated by high impact examples/models across the globe that are improving patient safety and healthcare outcomes, saving lives. Learning Objectives: Published definitions of global health and the emerging field of global radiation oncology Learn about the transformative potential of ICTs in global radiation oncology care, research and education with focus on Medical Physics Learn about high impact examples of ICT-powered global radiation oncology and the increasing opportunities for participation by Medical Physicists. Yakov Pipman - The number and scope of volunteer Medical Physics activities in support of low-to-middle income countries has been increasing gradually. This happens through a variety of formal channels and to some extent through less formal but personal initiatives. A good deal of effort is dedicated by many, but many more could be recruited through a structured framework to volunteer. We will look into typical volunteer activities and how they fit with organizations already involved in advancing Medical Physics in LMIC. We will identify the range of these organizational activities and their scope to reveal areas of further need. We will point to a few key features of MPWB ( http://www.mpwb.org ) as a volunteering and collaborating structure and how members can get involved and contribute to these efforts at the grass roots level. The goal is that scarce resources can thus be channeled to complement rather than compete with those already in place. Learning Objectives: Understand the strengths and limitations of various organizations that support Medical Physics efforts in LMIC. Learn about ways to volunteer and contribute to Global Health through a grass roots organization focused on Medical Physics in LMIC. Perry Sprawls - With the growing capability and complexity of medical imaging methods in all countries of the world, the expanding role of medical physicists includes optimizing imaging procedures with respect to image quality, radiation dose, and other conflicting factors. With access to appropriate educational resources local medical physicists in all countries can provide direct clinical support and educational for other medical professionals. This is being supported through the process of Collaborative Teaching that combines the capabilities and experience of medical physicists in countries spanning the spectrum of economic, technological, and clinical development. The supporting resources are on the web at: http://www.sprawls.org/resources . Learning Objectives: Identify the medical physics educational needs to support effective and optimized medical imaging procedures. Use collaborative teaching resources to enhance the role of medical physicists in all countries of the world.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2013

SLOAVx: Scalable LOgarithmic AlltoallV Algorithm for Hierarchical Multicore Systems

Scientific applications use collective communication operations in Message Passing Interface (MPI) for global synchronization and data exchanges. Alltoall and AlltoallV are two important collective operations. They are used by MPI jobs to exchange messages among all of MPI processes. AlltoallV is a generalization of Alltoall, supporting messages of varying sizes. However, the existing MPI AlltoallV implementation has linear complexity, i.e., each process has to send messages to all other processes in the job. Such linear complexity can result in sub optimal scalability of MPI applications when they are deployed on millions of cores. To address above challenge, in this paper, we introduce a new Scalable LOgarithmic AlltoallV algorithm, named SLOAV, for MPI AlltoallV collective operation. SLOAV aims to achieve global exchange of small messages of different sizes in a logarithmic number of rounds. Furthermore, given the prevalence of multicore systems with shared memory, we design a hierarchical AlltoallV algorithm based on SLOAV by leveraging the advantages of shared memory, which is referred to as SLOAVx. Compared to SLOAV, SLOAVx significantly reduces the inter-node communication, thus improving the entire system performance and mitigating the impact of message latency. We have implemented and embedded both algorithms in Open MPI. Our evaluation on large-scale computer systems shows that for the 8-byte and 1024-process MPI Alltoallv operation, the SLOAV can reduce the latency by as much as 86.4%, when compared to the state-of-the-art, and SLOAVx can further optimize the SLOAV by up to 83.1% in terms of message latency on multicore systems. In addition, experiments with NAS Parallel Benchmark (NPB) demonstrate that our algorithms are very effective for real-world applications.

Computer Science↗

NASA NTRS1989

Global backscatter assessment

The focus of this effort is the development of a global-scale model of aerosol backscatter for laser atmospheric wind sounder (LAWS) design and performance studies. Background parameters are derived from aerosol data sets with global-scale spatial and/or temporal coverage, using objective statistical decomposition and/or a priori stratification based on supplementary data. Backscatter coefficients at the LAWS design wavelength are derived from background aerosol physical, chemical, and optical data, or from direct backscatter measurements at other wavelengths, using background conversion factors. Direct measurements of aerosol backscatter at 10.6 microns from the Royal Signals and Radar Establishment (RSRE) and the Wave Propagation Laboratory (WPL) were selected. The RSRE backscatter data processing code were optimized under low backscatter conditions, performed detailed analyses of collocated intercomparisons between the two lidars, and assisted in the analysis of the long-term backscatter climatologies from the two lidars. Timely presentation of global backscattering experiment (GLOBE) research results to the global geophysical community is required.

Bowdle, David A.↗

DOE OSTI2023

Optimizing the electron transport chain to sustainably improve photosynthesis

Abstract Genetically improving photosynthesis is a key strategy to boosting crop production to meet the rising demand for food and fuel by a rapidly growing global population in a warming climate. Many components of the photosynthetic apparatus have been targeted for genetic modification for improving photosynthesis. Successful translation of these modifications into increased plant productivity in fluctuating environments will depend on whether the electron transport chain (ETC) can support the increased electron transport rate without risking overreduction and photodamage. At present atmospheric conditions, the ETC appears suboptimal and will likely need to be modified to support proposed photosynthetic improvements and to maintain energy balance. Here, I derive photochemical equations to quantify the transport capacity and the corresponding reduction level based on the kinetics of redox reactions along the ETC. Using these theoretical equations and measurements from diverse C3/C4 species across environments, I identify several strategies that can simultaneously increase the transport capacity and decrease the reduction level of the ETC. These strategies include increasing the abundances of reaction centers, cytochrome b6f complexes, and mobile electron carriers, improving their redox kinetics, and decreasing the fraction of secondary quinone–nonreducing photosystem II reaction centers. I also shed light on several previously unexplained experimental findings regarding the physiological impacts of the abundances of the cytochrome b6f complex and plastoquinone. The model developed, and the insights generated from it facilitate the development of sustainable photosynthetic systems for greater crop yields.

59 BASIC BIOLOGICAL SCIENCES↗

NASA NTRS1981

Optimal spatial filtering and transfer function for SAR ocean wave spectra

The Seasat Synthetic Aperture Radar (SAR) has proved to be an instrument of great utility in the sensing of ocean conditions on a global scale. An analysis of oceanographic and atmospheric aspects of Seasat data has shown that the features observed in the imagery are linked to ocean phenomena such as storm sources and their resulting swell systems. However, there remains one central problem which has not been satisfactorily solved to date. This problem is related to the accurate measurement of wind-generated ocean wave spectra. Investigations addressing this problem are currently being conducted. The problem has two parts, including the accurate measurement of the image spectra and the inference of actual surface wave spectra from these measurements. A description is presented of the progress made towards solving the first part of the problem, taking into account a digital rather than optical computation of the image transforms.

Goldfinger, A. D.↗

NASA NTRS2018

Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review

In this paper we review the use of satellite-based remote sensing in combination with in situ data to inform Earth surface modelling. This involves verification and optimization methods that can handle both random and systematic errors and result in effective model improvement for both surface monitoring and prediction applications. The reasons for diverse remote sensing data and products include (i) their complementary areal and temporal coverage, (ii) their diverse and covariant information content, and (iii) their ability to complement in situ observations, which are often sparse and only locally representative. To improve our understanding of the complex behavior of the Earth system at the surface and sub-surface, we need large volumes of data from high-resolution modelling and remote sensing, since the Earth surface exhibits a high degree of heterogeneity and discontinuities in space and time. The spatial and temporal variability of the biosphere, hydrosphere, cryosphere and anthroposphere calls for an increased use of Earth observation (EO) data attaining volumes previously considered prohibitive. We review data availability and discuss recent examples where satellite remote sensing is used to infer observable surface quantities directly or indirectly, with particular emphasis on key parameters necessary for weather and climate prediction. Coordinated high-resolution remote-sensing and modelling/assimilation capabilities for the Earth surface are required to support an international application-focused effort.

Earth observations↗

DOE OSTI2018

Core microbiomes for sustainable agroecosystems

In an era of ecosystem degradation and climate change, maximizing microbial functions in agroecosystems has become a prerequisite for the future of global agriculture. Furthermore, managing species-rich communities of plant-associated microbiomes remains a major challenge. Here, we propose interdisciplinary research strategies to optimize microbiome functions in agroecosystems. Informatics now allows us to identify members and characteristics of ‘core microbiomes’, which may be deployed to organize otherwise uncontrollable dynamics of resident microbiomes. Integration of microfluidics, robotics and machine learning provides novel ways to capitalize on core microbiomes for increasing resource-efficiency and stress-resistance of agroecosystems.

60 APPLIED LIFE SCIENCES↗