Prosecution Insights
Last updated: October 02, 2026
Application No. 19/016,559

MEMORY DEVICES AND METHODS WHICH MAY FACILITATE TENSOR MEMORY ACCESS

Final Rejection §103
Filed
Jan 10, 2025
Priority
Jul 24, 2018 — continuation of 10/956,315 +2 more
Examiner
ROJAS, MIDYS
Art Unit
2133
Tech Center
2100 — Computer Architecture & Software
Assignee
Micron Technology Inc.
OA Round
2 (Final)
88%
Grant Probability
Favorable
3-4
OA Rounds
11m
Est. Remaining
96%
With Interview

Examiner Intelligence

Grants 88% — above average
88%
Career Allowance Rate
729 granted / 831 resolved
+32.7% vs TC avg
Moderate +8% lift
Without
With
+7.8%
Interview Lift
resolved cases with interview
Typical timeline
2y 8m
Avg Prosecution
16 currently pending
Career history
850
Total Applications
across all art units

Statute-Specific Performance

§101
3.9%
-36.1% vs TC avg
§103
37.6%
-2.4% vs TC avg
§102
28.9%
-11.1% vs TC avg
§112
23.0%
-17.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 831 resolved cases

Office Action

§103
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Information Disclosure Statement The information disclosure statements (IDS) submitted on 1/10/2025 and 2/19/2025 were considered by the examiner. Drawings The drawings received on 1/10/25 have been accepted by the examiner. Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 1-6, 8-16, 18-20 are rejected under 35 U.S.C. 103 as being unpatentable over Jayasena et al. [US 2014/0181427], Applicant Cited Art, in view of Moreau et al. [“A Hardware Software Blueprint for Flexible Deep Learning Specialization”]. Claim 1, Jayasena et al. discloses a system comprising: at least one memory unit [Fig 1 and Abstract]; and at least one processor comprising one or more processor cores [par. 0004-0005], wherein the at least one processor is configured to access the at least one memory unit using an instruction set [par. 0007] comprising a tensor of the at least one memory unit to be accessed, the tensor having at least two dimensions [par. 0030]. Jayasena et al. does not teach by Moreau et al. discloses the instruction set further comprising a submatrix memory command associated with the tensor [see Abstract]. It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to modify the system of Jayasena et al. to include the submatrix memory command associated with a tensor as disclosed by Moreau et al. since doing so minimizes memory bandwidth bottlenecks and reduces CPU instruction overhead. Claim 2, Jayasena et al. in view of Moreau et al. discloses the system of claim 1, wherein the instruction set comprises a length associated with the tensor [par. 0030]. Claim 3, Jayasena et al. in view of Moreau et al. discloses the system of claim 1, wherein the tensor has at least three dimensions [par. 0030]. Claim 4, Jayasena et al. in view of Moreau et al. discloses the system of claim 1, wherein the tensor has at least four dimensions [par. 0030]. Claim 5, Jayasena et al. in view of Moreau et al. discloses the system of claim 1, wherein the instruction set includes a pointer associated with a memory address [start address and element count, par. 0025]. Claim 6, Jayasena et al. in view of Moreau et al. discloses the system of claim 1, wherein the at least one memory unit comprises random-access memory [par. 0005 and 0081]. Claim 8, Jayasena et al. in view of Moreau et al. discloses the system of claim 1, further comprising at least one buffer configured to store data retrieved from the memory unit [par. 0023]. Claim 9, Jayasena et al. in view of Moreau et al. discloses the system of claim 1, wherein the instruction set is configured to be executed according to an instruction pipeline [sequence of memory accesses constitutes a pipeline, par. 0023]. Claim 10, Jayasena et al. in view of Moreau et al. discloses the system of claim 1, wherein the one or more processor cores comprise multiple independent processor cores [multiple processors disclosed, par. 0004-0005]. Claims 11-16 and 18-20 are rejected using the same rationale as claims 1-6 and 8-10 above. Claims 7 and 17 are rejected under 35 U.S.C. 103 as being unpatentable over Jayasena et al. [US 2014/0181427], Applicant Cited Art, in view of in view of Moreau et al. [“A Hardware Software Blueprint for Flexible Deep Learning Specialization”], further in view of Jewett et al. [US 2002/0049825], Applicant Cited Art. Claim 7, Jayasena et al. in view of in view of Moreau et al. discloses the system of claim 1, further comprising conductive lines coupling the at least one memory unit and the at least one processor [memory bus, par. 0071]. Jayasena et al. in view of in view of Moreau et al. does not teach but Jewett et al. discloses the conductive lines provide a sixty four-bit width [par. 0040]. It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to implement the tensor based memory access system using a 64 bit memory bus since doing so increases bandwidth and reduces latency. Claim 17 is rejected using the same rationale as claim 7. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to MIDYS ROJAS whose telephone number is (571)272-4207. The examiner can normally be reached 7:00am -3:00pm M-F. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Rocio del Mar Perez-Velez can be reached at (571) 270-5935. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /MIDYS ROJAS/Primary Examiner, Art Unit 2133
Read full office action

Prosecution Timeline

Jan 10, 2025
Application Filed
Apr 02, 2026
Non-Final Rejection mailed — §103
Jun 30, 2026
Response Filed
Sep 17, 2026
Final Rejection mailed — §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
88%
Grant Probability
96%
With Interview (+7.8%)
2y 8m (~11m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 831 resolved cases by this examiner. Grant probability derived from career allowance rate.

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