Patents by Inventor Giovanni Cherubini

Giovanni Cherubini 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).

  • Patent number: 11145323
    Abstract: A computer-implemented method, according to one embodiment, includes: receiving a first timestamp in response to a first servo reader detecting a stripe of a first servo burst on the magnetic tape, and receiving a second timestamp in response to a second servo reader detecting a stripe of a second servo burst on the magnetic tape. A third timestamp is received in response to the first servo reader detecting a stripe of a third servo burst on the magnetic tape, while a fourth timestamp is received in response to the second servo reader detecting a stripe of a fourth servo burst on the magnetic tape. The first, second, third, and fourth timestamps are used to determine the skew of the magnetic tape. Further still, the first and third servo bursts are in a same first servo sub-frame, while the second and fourth servo bursts are in a same second servo sub-frame.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: October 12, 2021
    Assignee: International Business Machines Corporation
    Inventors: Nhan Xuan Bui, Simeon Furrer, Giovanni Cherubini, Mark Alfred Lantz
  • Patent number: 11038984
    Abstract: The present invention is notably directed to a computer-implemented method of accessing data by an application. The method comprises detecting an application that is accessing an initial file stored in a storage system; fetching an application model of the detected application, the application model comprising an association between access patterns of the detected application when accessing first files with first metadata information of the said first files; identifying one or more second files stored in the storage system, the identified one or more second files having second metadata information that are similar to the first metadata information; and prefetching the identified one or more second files.
    Type: Grant
    Filed: August 26, 2019
    Date of Patent: June 15, 2021
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Jens Jelitto, Vinodh Venkatesan
  • Patent number: 10971226
    Abstract: The device provides a resistive memory device for storing elements of hyper-dimensional vectors, in particular digital hyper-dimensional, as conductive statuses in components in particular in 2D-memristors, of the resistive memory device, wherein the resistive memory device provides a first crossbar array of the components, wherein the components are memristive 2D components addressable by word-lines and bit-lines, and a peripheral circuit connected to the word-lines and bit-lines and adapted for encoding operations by activating the word-lines and bit-lines sequentially in a predefined manner.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: April 6, 2021
    Assignees: International Business Machines Corporation, ETH ZURICH (EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH)
    Inventors: Manuel Le Gallo-Bourdeau, Kumudu Geethan Karunaratne, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Publication number: 20210034962
    Abstract: Methods and apparatus are provided for memorizing data signals in a spiking neural network. For each data signal, such a method includes supplying metadata relating to the data signal to a machine learning model trained to generate an output signal, indicating a relevance class for a data signal, from input metadata for that data signal. The method includes iteratively supplying the data signal to a sub-assembly of neurons, interconnected via synaptic weights, of a spiking neural network and training the synaptic weights to memorize the data signal in the sub-assembly. The method further comprises assigning neurons of the network to the sub-assembly in dependence on the output signal of the model such that more relevant data signals are memorized by larger sub-assemblies. The data signal memorized by a sub-assembly can be subsequently recalled by activating neurons of that sub-assembly.
    Type: Application
    Filed: August 1, 2019
    Publication date: February 4, 2021
    Inventors: Giovanni Cherubini, Abu Sebastian
  • Patent number: 10861538
    Abstract: A sensor device comprising a computational memory and electronic circuitry. The sensor device is configured to receive an input signal, to compress the input signal into a compressed signal and to compute a reconstructed signal from the compressed signal. The electronic circuitry is configured to perform a reconstruction algorithm to compute the reconstructed signal. The computational memory is configured to compute the compressed signal and partial results of the reconstruction algorithm. A related method and a related design structure may be provided.
    Type: Grant
    Filed: June 4, 2019
    Date of Patent: December 8, 2020
    Assignee: International Business Machines Corporation
    Inventors: Manuel Le Gallo-Bourdeau, Abu Sebastian, Giovanni Cherubini
  • Publication number: 20200381048
    Abstract: A device for hyper-dimensional computing may be provided. The device comprises a resistive memory device for storing elements of hyper-dimensional vectors, in particular digital hyper-dimensional, as conductive statuses in components in particular in 2D-memristors, of the resistive memory device, wherein the resistive memory device comprises a first crossbar array of the components, wherein the components are memristive 2D components addressable by word-lines and bit-lines, and a peripheral circuit connected to the word-lines and bit-lines and adapted for encoding operations by activating the word-lines and bit-lines sequentially in a predefined manner.
    Type: Application
    Filed: May 30, 2019
    Publication date: December 3, 2020
    Inventors: Manuel Le Gallo-Bourdeau, Kumudu Geethan Karunaratne, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Publication number: 20200379673
    Abstract: The invention is notably directed at a device for high-dimensional computing comprising an associative memory module. The associative memory module comprises one or more planar crossbar arrays. The one or more planar crossbar arrays comprise a plurality of resistive memory elements. The device is configured to program profile vector elements of profile hypervectors as conductance states of the resistive memory elements and to apply query vector elements of query hypervectors as read voltages to the one or more crossbar arrays. The device is further configured to perform a distance computation between the profile hypervectors and the query hypervectors by measuring output current signals of the one or more crossbar arrays. The invention further concerns a related method and a related computer program product.
    Type: Application
    Filed: May 30, 2019
    Publication date: December 3, 2020
    Inventors: Manuel Le Gallo-Bourdeau, Kumudu Geethan Karunaratne, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Publication number: 20200380384
    Abstract: A system for hyper-dimensional computing for inference tasks may be provided. The device comprises an item memory for storing hyper-dimensional item vectors, a query transformation unit connected to the item memory, the query transformation unit being adapted for forming a hyper-dimensional query vector from a query input and hyper-dimensional base vectors stored in the item memory, and an associative memory adapted for storing a plurality of hyper-dimensional profile vectors and for determining a distance between the hyper-dimensional query vector and the plurality of hyper-dimensional profile vectors, wherein the item memory and the associative memory are adapted for in-memory computing using memristive devices.
    Type: Application
    Filed: May 30, 2019
    Publication date: December 3, 2020
    Inventors: Kumudu Geethan Karunaratne, Manuel Le Gallo-Bourdeau, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Patent number: 10770102
    Abstract: A tape drive-implemented method, according to one embodiment, includes: using information read from one or more servo bands on a magnetic tape to position a magnetic tape head relative to the magnetic tape. An array of data transducers is positioned along the magnetic tape head, the array extending perpendicular to a direction of travel of the magnetic tape. Moreover, a group of servo readers is positioned at each end of the array of data transducers. A distance between each of the immediately adjacent servo readers in each of the groups of servo readers is less than or equal to one third of a prespecified width of each of the servo bands. Furthermore, the distance between each of the servo readers in each of the groups and the prespecified width are both measured in a direction perpendicular to the direction of travel of the magnetic tape.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: September 8, 2020
    Assignee: International Business Machines Corporation
    Inventors: Nhan X. Bui, Giovanni Cherubini, Simeon Furrer, Mark A. Lantz, Kazuhiro Tsuruta
  • Publication number: 20200272895
    Abstract: A computer-implemented method for answering a cognitive query from sensor input signals may be provided. The method comprises feeding sensor input signals to an input layer of an artificial neural network comprising a plurality of hidden neuron layers and an output neural layer, determining hidden layer output signals from each of the plurality of hidden neuron layers and output signals from the output neural layer, and generating a set of pseudo-random bit sequences by applying a set of mapping functions using the output signals of the output layer and the hidden layer output signals of one of the hidden neuron layers as input data for one mapping function. Furthermore, the method comprises determining a hyper-vector using the set of pseudo-random bit sequences, and storing the hyper-vector in an associative memory, in which a distance between different hyper-vectors is determinable.
    Type: Application
    Filed: February 25, 2019
    Publication date: August 27, 2020
    Inventors: Giovanni Cherubini, Evangelos Stavros Eleftheriou
  • Patent number: 10671303
    Abstract: Predictively selecting subset of disks of a storage system to be spun-up, including providing metadata of data entities stored in the disks of the storage system, estimating the data entity access probabilities for a prediction time window based on the metadata, each data entity access probability being indicative for the probability of access to a certain data entity within the prediction time window, calculating disk access probabilities for a prediction time window based on the estimated probability of access of data entities, each disk access probability being indicative for the probability of access to a certain disk within the prediction time window, estimating the number of disks to be spun-up in a certain prediction time window, dynamically adapting the data entity threshold value and/or the disk access threshold value, selecting a subset of disks to be spun-up in the following prediction time window.
    Type: Grant
    Filed: September 13, 2017
    Date of Patent: June 2, 2020
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Mark A. Lantz, Vinodh Venkatesan
  • Patent number: 10621102
    Abstract: A computer-implemented method is provided for managing digital datasets stored on a multi-tiered storage system that includes several tiers of storage, the datasets likely to be accessed by one or more applications interacting with the storage system. The method includes monitoring an access history of datasets accessed by the one or more applications; and while monitoring the access history: computing probabilities of access, by the one or more applications, of the datasets stored on the storage system according to metadata associated to given datasets as identified in the monitored access history; and based on the computed probabilities of access, selecting one or more of the datasets to be moved across the tiers. Related storage systems and computer program products are also provided.
    Type: Grant
    Filed: March 23, 2017
    Date of Patent: April 14, 2020
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Yusik Kim, Mark A. Lantz, Vinodh Venkatesan
  • Patent number: 10592147
    Abstract: The invention is notably directed to computer-implemented methods and systems for managing datasets in a storage system. In such systems, it is assumed that a (typically small) subset of datasets are labeled with respect to their relevance, so as to be associated with respective relevance values. Essentially, the present methods determine, for each unlabeled dataset of the datasets, a respective probability distribution over a set of relevance values. From this probability distribution, a corresponding relevance value can be obtained. This probability distribution is computed based on distances (or similarities), in terms of metadata values, between said each unlabeled dataset and the labeled datasets. Based on their associated relevance values, datasets can then be efficiently managed in a storage system.
    Type: Grant
    Filed: July 26, 2017
    Date of Patent: March 17, 2020
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Mark A. Lantz, Taras Lehinevych, Vinodh Venkatesan
  • Publication number: 20200082251
    Abstract: Methods and apparatus are provided for implementing propagation of probability distributions of random variables over a factor graph. Such a method includes providing a spiking neural network, having variable nodes interconnected with factor nodes, corresponding to the factor graph. Each of the nodes comprises a set of neurons configured to implement computational functionality of that node. The method further comprises generating, for each of a set of the random variables, at least one spike signal in which the probability of a possible value of that variable is encoded via the occurrence of spikes in the spike signal, and supplying the spike signals for the set of random variables as inputs to the neural network at respective variable nodes. The probability distributions are propagated via the occurrence of spikes in signals propagated through the neural network.
    Type: Application
    Filed: September 6, 2018
    Publication date: March 12, 2020
    Inventors: Giovanni Cherubini, Timoleon Moraitis, Abu Sebastian
  • Patent number: 10587289
    Abstract: Sequence detectors and detection methods are provided for detecting symbol values corresponding to a sequence of input samples obtained from an ISI channel. The sequence detector comprises a branch metric unit (BMU) and a path metric unit (PMU). The BMU, which comprises an initial set of pipeline stages, is adapted to calculate, for each input sample, branch metrics for respective possible transitions between states of a trellis. To calculate these branch metrics, the BMU selects hypothesized input values, each dependent on a possible symbol value for the input sample and L>0 previous symbol values corresponding to possible transitions between states of the trellis. The BMU then calculates differences between the input sample and each hypothesized input value. The BMU compares these differences and selects, as the branch metric for each possible transition, an optimum difference in dependence on a predetermined state in a survivor path through the trellis.
    Type: Grant
    Filed: October 1, 2018
    Date of Patent: March 10, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Giovanni Cherubini, Roy D. Cideciyan, Simeon Furrer, Thomas H. Toifl, Hazar Yueksel
  • Patent number: 10579281
    Abstract: A method for storing a data segment in a storage tier of a storage unit comprising at least two storage tiers includes receiving the data segment to be stored including metadata; receiving metadata of data segments stored in the storage unit; and determining the storage tier to store the received data segment to and a protection level dependent on the metadata received and dependent on the metadata of the received data segment.
    Type: Grant
    Filed: August 18, 2015
    Date of Patent: March 3, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Giovanni Cherubini, Ilias Iliadis, Jens Jelitto, Vinodh Venkatesan
  • Publication number: 20190392303
    Abstract: A computer-implemented method for managing datasets of a storage system is provided, wherein the datasets have respective sets of metadata, the method including: successively feeding first sets of metadata to a spiking neural network (SNN), the first sets of metadata fed corresponding to datasets of the storage system that are labeled with respect to classes they belong to, so as to be associated with class labels, for the SNN to learn representations of said classes in terms of connection weights that weight the metadata fed; successively feeding second sets of metadata to the SNN, the second sets of metadata corresponding to unlabeled datasets of the storage system, for the SNN to infer class labels for the unlabeled datasets, based on the second sets of metadata fed and the representations learned; and managing datasets in the storage system, based on class labels of the datasets, these including the inferred class labels.
    Type: Application
    Filed: June 22, 2018
    Publication date: December 26, 2019
    Inventors: Giovanni Cherubini, Timoleon Moraitis, Abu Sebastian, Vinodh Venkatesan
  • Publication number: 20190379762
    Abstract: The present invention is notably directed to a computer-implemented method of accessing data by an application. The method comprises detecting an application that is accessing an initial file stored in a storage system; fetching an application model of the detected application, the application model comprising an association between access patterns of the detected application when accessing first files with first metadata information of the said first files; identifying one or more second files stored in the storage system, the identified one or more second files having second metadata information that are similar to the first metadata information; and prefetching the identified one or more second files.
    Type: Application
    Filed: August 26, 2019
    Publication date: December 12, 2019
    Inventors: Giovanni Cherubini, Jens Jelitto, Vinodh Venkatesan
  • Patent number: 10424370
    Abstract: A sensor device comprising a computational memory and electronic circuitry. The sensor device is configured to receive an input signal, to compress the input signal into a compressed signal and to compute a reconstructed signal from the compressed signal. The electronic circuitry is configured to perform a reconstruction algorithm to compute the reconstructed signal. The computational memory is configured to compute the compressed signal and partial results of the reconstruction algorithm. A related method and a related design structure may be provided.
    Type: Grant
    Filed: July 10, 2018
    Date of Patent: September 24, 2019
    Assignee: International Business Machines Corporation
    Inventors: Manuel Le Gallo-Bourdeau, Abu Sebastian, Giovanni Cherubini
  • Publication number: 20190287613
    Abstract: A sensor device comprising a computational memory and electronic circuitry. The sensor device is configured to receive an input signal, to compress the input signal into a compressed signal and to compute a reconstructed signal from the compressed signal. The electronic circuitry is configured to perform a reconstruction algorithm to compute the reconstructed signal. The computational memory is configured to compute the compressed signal and partial results of the reconstruction algorithm. A related method and a related design structure may be provided.
    Type: Application
    Filed: June 4, 2019
    Publication date: September 19, 2019
    Inventors: Manuel Le Gallo-Bourdeau, Abu Sebastian, Giovanni Cherubini