Abstract: One or more parameters corresponding to a targeted energy characteristic of a computing client device are received. A ratio of types of storage devices allocated to the computing client device is adjusted based on the one or more parameters. A storage volume for the computing client device is provisioned according to the ratio of the types of the storage devices.

Abstract: Systems and methods are disclosed that deploy software code from a dataset into a computing environment. The systems and method collect energy metrics of the software code while executing in the computing environment. The systems and methods determine a sustainability label for the software code based on the energy metrics. The systems and methods assign the sustainability label to the software code to produce a sustainability-based dataset.

Abstract: Ru—Mo sulfide bimetallic catalysts are disclosed for catalytic hydrothermal gasification (CHG) of aqueous streams produced from hydrothermal liquefaction of wet wastes. This catalyst is sulfur resistant and requires less Ru loading compared to the current catalyst, which addresses the most critical challenges for CHG. The CHG process with this catalyst converts the aqueous stream to CH4, H2, CO2, and other light hydrocarbons as well as cleaned water that can be recycled or released into the environment.

Abstract: Computer-implemented methods for managing instances of serverless functions in a cloud computing system are provided. Aspects include obtaining a service level objective for a serverless function, obtaining a command queue length for a graphical processing unit disposed on each of a plurality of compute nodes in the cloud computing system, and obtaining a request queue length of the serverless function. Aspects also include calculating a number of instances of the serverless function to deploy in the cloud computing system, wherein the number of instances is determined based on the service level objective and the request queue length of the serverless function, identifying compute nodes from the plurality of compute nodes to deploy each of the number of instances of the serverless function, and creating an instance of the serverless function on each of the identified compute nodes.

Abstract: Computer-implemented methods for identifying a configuration of a virtual machine and performance selecting an application for execution on the virtual machine are provided. Aspects include executing a plurality of calibration programs on a virtual machine having an unknown configuration and collecting a plurality of performance metrics from the virtual machine during execution of the plurality of calibration programs. Aspects also include inputting the plurality of metrics into a trained machine learning model, receiving, from the trained machine learning model, a predicted configuration of the virtual machine, and executing a version of an application on the virtual machine, wherein the version is determined based at least in part on the predicted configuration.

Abstract: The present disclosure provides a machine learning-based method for measuring bending stiffness of a fabric, comprising: obtaining an image of a fabric to be tested placed on a three-dimensional geometric object; and determining the bending stiffness of the fabric to be tested by inputting the image of the fabric to be tested into a trained deep neural network.

Abstract: Systems and methods are presented to provide a first machine learning model to a collaboration platform. The systems and methods receive a second machine learning model from the collaboration platform that indicates the second machine learning model is based on the first machine learning model. The systems and methods test the second machine learning model using criteria corresponding to the first machine learning model to determine whether the second machine learning model is valid. In turn, the systems and methods publish the second machine learning model to a repository in response to determining that the second machine learning model is valid.

Abstract: Parallel computation methods and systems for multiplying symmetric matrices with vectors are provided. The method may include acquiring a symmetric matrix and a vector; determining a count of a plurality of threads; dividing the symmetric matrix into a symmetric axis region, an upper triangular region, and a lower triangular region; obtaining symmetric axis data by determining a product of the symmetric axis region and the vector; dividing the upper triangular region or the lower triangular region into one or more subregions; for each of the one or more subregions, determining one or more candidate axes parallel to the symmetric axis, and for each of the one or more candidate axes, obtaining two sets of data or four sets of data by performing two multiplication operations on the candidate axis; and obtaining a result of multiplying the symmetric matrix with the vector.

Abstract: A method and a user device for arranging clothing patterns may be provided. A first user instruction may be received. The first user instruction may be used for selecting a first target location from a two-dimensional (2D) clothing pattern and allocating the 2D clothing pattern to a second target location on a three-dimensional (3D) avatar. In response to the first user instruction, the 2D clothing pattern may be represented as a 3D clothing pattern that warps around the 3D avatar at the second target location.

Abstract: A method for arranging clothing patterns implemented on a computing device is provided. The method comprise: determining sewing relationships between clothing patterns to be transformed into a digital garment on a 3D avatar; performing iterations to process the clothing patterns, each of the iterations comprising: selecting one or more clothing patterns to be processed in the iteration from the clothing patterns based on the sewing relationships; and arranging the one or more clothing patterns to warp around the 3D avatar; and generating the digital garment that is worn on the 3D avatar by sewing the arranged clothing patterns corresponding to the iterations based on the sewing relationships.

Abstract: Described are methods and systems for preparing stabilized bio-oil suitable for subsequent hydrotreatment and forming a hydrocarbon product from a stabilized bio-oil. For example, preparing stabilized bio-oil suitable for subsequent hydrotreatment may include filtering bio-oil effective to remove at least a portion of particles having an effective particulate diameter greater than about 10 micrometers; treating the bio-oil effective to remove at least a portion of inorganic species from the bio-oil; and catalytically stabilizing the bio-oil to provide the stabilized bio-oil suitable for subsequent hydrotreatment. Forming a hydrocarbon product from a stabilized bio-oil may include hydrotreating the stabilized bio-oil by, for example, contacting the stabilized bio-oil to a hydrotreatment catalyst in the presence of hydrogen, thereby providing the hydrocarbon product. Also included are stabilized bio-oil and hydrocarbon products derived therefrom.

Abstract: Processes and bi-functional catalysts are disclosed for hydrotreating bio-oils derived from biomass to produce bio-oils containing fuel range hydrocarbons suitable as feedstocks for production of bio-based fuels.

Abstract: Systems and/or methods that factor large-scale repeated content within and/or among images can include devices and components that factor received or acquired images into epitomes that include all the content of the received or acquired images and transform maps that encode how to construct a facsimile or a close approximation of the image by selecting transformed regions from the epitomes. Through use of both the epitomes and the transform maps in conjunction, a facsimile or a close approximation of the input image can be reconstructed and displayed.

Abstract: A system and method for shallow water simulation may provide a framework for solving General Shallow Wave Equations (GSWE) to efficiently simulate 3D fluid effects on arbitrary surfaces using a height field representation. The height field representation may include height columns constructed along surface normals, which may be dependent on a condition of boundary cells adjacent to fluid cells and/or artificial viscosity effects. The framework may provide implicit schemes for solving for the effects of external forces applied to the fluid, including gravity and surface tension, and explicit schemes for solving for advection effects. The system and method may be implemented on general-purpose CPU(s) and/or GPU(s) and may be capable of simulating a variety of fluid effects including: waves, rivulets and streams, drops, and capillary events. In some embodiments, the system and method may achieve real-time fluid control and fluid shape design through user-interaction (e.g., in a graphical painting application).

Abstract: The claimed subject matter provides systems and/or methods that factor large-scale repeated content within and/or among images. The system can include devices and components that factor received or acquired images into epitomes that include all the content of the received or acquired images and transform maps that encode how to construct a facsimile or a close approximation of the image by selecting transformed regions from the epitomes. Though use of both the epitomes and the transform maps in conjunction, a facsimile or a close approximation of the input image can be reconstructed and displayed.

Abstract: A system and method for shallow water simulation may provide a framework for solving General Shallow Wave Equations (GSWE) to efficiently simulate 3D fluid effects on arbitrary surfaces using a height field representation. The height field representation may include height columns constructed along surface normals, which may be dependent on a condition of boundary cells adjacent to fluid cells and/or artificial viscosity effects. The framework may provide implicit schemes for solving for the effects of external forces applied to the fluid, including gravity and surface tension, and explicit schemes for solving for advection effects. The system and method may be implemented on general-purpose CPU(s) and/or GPU(s) and may be capable of simulating a variety of fluid effects including: waves, rivulets and streams, drops, and capillary events. In some embodiments, the system and method may achieve real-time fluid control and fluid shape design through user-interaction (e.g., in a graphical painting application).