Patents by Inventor Juan José Alonso

Juan José Alonso has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240095090
    Abstract: A cloud-based framework dynamically utilizes a distributed pool of accelerators to parallelize calculations of physical simulation (physics) solver code partitioned across multiple accelerators and compute nodes of one or more virtual data centers in a virtualized computing environment. Multi-level partitioning logic of the framework partitions an input data set of the physics solver code into code groups configured to run on the accelerators using a “hardware agnostic” software layer that abstracts differences in processing architectures to allow targeting of different types of accelerators. A predictive scheduler interacts with the multi-level partitioning logic to locate and predictively reserve the accelerators within the pool, dynamically access and utilize the accelerators when needed, and then promptly release them upon completion of the calculations.
    Type: Application
    Filed: June 17, 2022
    Publication date: March 21, 2024
    Inventors: Yasushi Saito, Thomas D. Economon, Michael Thomas Mara, Jason Ansel Lango, Juan José Alonso
  • Publication number: 20230409663
    Abstract: An automatic differentiation (AD) technique and implementation processes multi-physics solver code entirely on graphics processing units (GPUs) to automatically differentiate one or more outputs of the code with respect to one or more inputs. The technique provides a “factory” framework that ingests arbitrarily complex solver code to produce a version of the code that is automatically differentiated (AD code) and mapped to the GPUs. The technique provides a derivative of the solver code output with respect to the inputs that enables analysis of the output of the computed solver code with initially provided inputs coherent with sensitivity analysis of that output as the inputs are changed. The adjoint information derived from solver code execution (AD code) computed by the AD technique may also be used to estimate one or more estimates of the numerical error in a solution to the physical simulation.
    Type: Application
    Filed: June 20, 2023
    Publication date: December 21, 2023
    Inventors: Klaus Leppkes, Michael Thomas Mara, Juan José Alonso
  • Publication number: 20230410428
    Abstract: A technique manages graphics processing units (GPUs), as well as associated algorithm advancements, to improve and effectively hide computational costs of adaptive mesh refinement (AMR). A cloud-based framework dynamically utilizes a distributed pool of the GPUs to parallelize computations of physical simulation software (solver) partitioned across multiple GPUs. A highly parallelized and distributed architecture of the framework provides a hybrid approach that operates partly on GPUs, e.g., to perform the solver computations, and partly on general-purpose processing units (CPUs) to accelerate portions of AMR and mesh processing of an AMR module. In an illustrative embodiment, the technique leverages the GPUs to perform as much of the AMR module processing (e.g., algorithms that rely on fixed topology) that can be naturally and efficiently implemented on the GPUs, while maintaining those portions of processing that do not naturally map onto the GPUs (e.g., algorithms with dynamic topology changes) on CPUs.
    Type: Application
    Filed: June 20, 2023
    Publication date: December 21, 2023
    Inventors: Adrien Loseille, Michael Thomas Mara, Dries Kimpe, Juan José Alonso
  • Patent number: 7324302
    Abstract: A system, method, and apparatus for solving flow-induced track misregistration (TMR) problems in hard disk drives (HDD) are directed to breaking up large-scale eddies, and straightening air flows with honeycomb structures, woven wire screens, and guide vanes or holes. In addition, boundary layer manipulation techniques are applied to the airflow in the HDD, such as boundary layer suction with slots or holes, and wall damping techniques, such as an open honeycomb seal and Helmholtz resonators. These flow-conditioning solutions reduce the turbulence intensity throughout the HDD to reduce TMR. These solutions achieve these goals while minimizing increases in the running torque needed to overcome their inherent rotational drag.
    Type: Grant
    Filed: March 3, 2004
    Date of Patent: January 29, 2008
    Assignee: Hitachi Global Storage Technologies Netherlands BV
    Inventors: Juan Jose Alonso, Andre Sirilutporn Chan, Ferdinand Hendriks
  • Patent number: 7177116
    Abstract: A system, method, and apparatus for solving flow-induced track misregistration (TMR) problems in hard disk drives (HDD). Boundary layer manipulation techniques are applied to the airflow in the HDD, such as boundary layer suction with slots or holes, and wall damping techniques, such as an open honeycomb seal and Helmholtz resonators. These flow-conditioning solutions reduce the turbulence intensity throughout the HDD to reduce TMR. These solutions achieve these goals while minimizing increases in the running torque needed to overcome their inherent rotational drag.
    Type: Grant
    Filed: March 3, 2004
    Date of Patent: February 13, 2007
    Assignee: Hitachi Global Storage Technologies Netherlands BV
    Inventors: Juan Jose Alonso, Andre Sirilutporn Chan, Ferdinand Hendriks