Patents by Inventor Stephane MANCINI

Stephane MANCINI 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).

  • Method of predicting a datum to be preloaded into a cache memory
    Patent number: 10002079
    Abstract: A datum to be preloaded includes the acquisition of a, so-called “model”, statistical distribution of the deltas of a model access sequence, the construction of a, so-called “observed”, statistical distribution of the deltas of an observed access sequence, the identification in the observed statistical distribution, by comparing it with the model statistical distribution, of the most deficient class, that is to say of the class for which the difference NoDSM?NoDSO is maximal, where NoDSM and NoDSO are the numbers of occurrences of this class that are deduced, respectively, from the model statistical distribution and from the observed statistical distribution, the provision as prediction of the datum to be preloaded into the cache memory, of at least one predicted address where the datum to be preloaded is contained, this predicted address being constructed on the basis of the most deficient class identified.
    Type: Grant
    Filed: December 15, 2016
    Date of Patent: June 19, 2018
    Assignee: Commissariat A L'Energie Atomique et aux Energies Alternatives
    Inventors: Suzanne Lesecq, Henri-Pierre Charles, Stephane Mancini, Lionel Vincent
  • METHOD OF PREDICTING A DATUM TO BE PRELOADED INTO A CACHE MEMORY
    Publication number: 20170168947
    Abstract: A datum to be preloaded includes the acquisition of a, so-called “model”, statistical distribution of the deltas of a model access sequence, the construction of a, so-called “observed”, statistical distribution of the deltas of an observed access sequence, the identification in the observed statistical distribution, by comparing it with the model statistical distribution, of the most deficient class, that is to say of the class for which the difference NoDSM?NoDSO is maximal, where NoDSM and NoDSO are the numbers of occurrences of this class that are deduced, respectively, from the model statistical distribution and from the observed statistical distribution, the provision as prediction of the datum to be preloaded into the cache memory, of at least one predicted address where the datum to be preloaded is contained, this predicted address being constructed on the basis of the most deficient class identified.
    Type: Application
    Filed: December 15, 2016
    Publication date: June 15, 2017
    Applicant: Commissariat a l'energie atomique et aux energies altenatives
    Inventors: Suzanne LESECQ, Henri-Pierre CHARLES, Stephane MANCINI, Lionel VINCENT