The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 07, 2025

Filed:

Feb. 24, 2023
Applicant:

Oracle International Corporation, Redwood City, CA (US);

Inventors:

Iraklis Psaroudakis, Zurich, CH;

Stefan Kaestle, Zurich, CH;

Daniel J. Goodman, Bagillt, GB;

Jean-Pierre Lozi, Zurich, CH;

Matthias Grimmer, Aurolzmünster, AT;

Timothy L. Harris, Cambridge, GB;

Assignee:

Oracle International Corporation, Redwood City, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/455 (2018.01); G06F 9/54 (2006.01); G06F 16/27 (2019.01);
U.S. Cl.
CPC ...
G06F 16/27 (2019.01); G06F 9/45516 (2013.01); G06F 9/45558 (2013.01); G06F 9/54 (2013.01); G06F 2009/4557 (2013.01); G06F 2009/45583 (2013.01); G06F 2009/45595 (2013.01);
Abstract

Adaptive data collections may include various type of data arrays, sets, bags, maps, and other data structures. A simple interface for each adaptive collection may provide access via a unified API to adaptive implementations of the collection. A single adaptive data collection may include multiple, different adaptive implementations. A system configured to implement adaptive data collections may include the ability to adaptively select between various implementations, either manually or automatically, and to map a given workload to differing hardware configurations. Additionally, hardware resource needs of different configurations may be predicted from a small number of workload measurements. Adaptive data collections may provide language interoperability, such as by leveraging runtime compilation to build adaptive data collections and to compile and optimize implementation code and user code together. Adaptive data collections may also provide language-independent such that implementation code may be written once and subsequently used from multiple programming languages.


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