USPTO Examiner SPANN COURTNEY P - Art Unit 2183

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18779177TWO-DIMENSIONAL ZERO PADDING IN A STREAM OF MATRIX ELEMENTSJuly 2024November 2025Allow1500NoNo
18774243DYNAMIC PROCESSING MEMORY CORE ON A SINGLE MEMORY CHIPJuly 2024December 2025Abandon1720NoNo
18774678Cached Instruction Recoding for Prediction EmbeddingJuly 2024February 2026Allow1920NoNo
18655929PROCESSOR AND METHOD FOR EXECUTING A LOOPING CODE SEGMENT WITH ZERO OVERHEADMay 2024October 2025Allow1800YesNo
18702959APPARATUS AND METHOD USING HINT CAPABILITY FOR CONTROLLING MICRO-ARCHITECTURAL CONTROL FUNCTIONApril 2024December 2025Allow1910YesNo
18627001Trace Cache that Supports Multiple Different Trace LengthsApril 2024October 2025Allow1810YesNo
18610302Static Instruction Caching in a Coprocessor ArchitectureMarch 2024May 2025Allow1400YesNo
18586186Instruction Fetch Using a Sequential Prediction CircuitFebruary 2024June 2025Allow1610YesNo
18428334BRANCH PREDICTION BASED ON A PREDICTED CONFIDENCE THAT A CORRESPONDING FUNCTION OF SAMPLED REGISTER STATE CORRELATES TO A LATER BRANCH INSTRUCTION OUTCOMEJanuary 2024May 2025Allow1500YesNo
18412504Branch Prediction Using loop Iteration CountJanuary 2024April 2025Allow1510YesNo
18399959RETURN ADDRESS STACK WITH BRANCH MISPREDICT RECOVERYDecember 2023October 2025Allow2210NoNo
18544901REDUCED POWER CONSUMPTION PREDICTION USING PREDICTION TABLESDecember 2023March 2025Allow1500YesNo
18542985Irregular Cadence Data Processing UnitsDecember 2023March 2026Allow2710YesNo
18532946DEVICE AND METHOD FOR IMPLEMENTING AN OPERATING MODE BASED ON OPCODESDecember 2023February 2026Allow2610YesNo
18522884SEQUENTIAL PROCESSING METHOD AND APPARATUS OF DATA PACKETNovember 2023December 2025Allow2410NoNo
18494565EXPLICIT LOCKSTEP FOR FUNCTIONAL SAFETYOctober 2023July 2025Allow2110YesNo
18382974HIGH PERFORMANCE PROCESSOR WITH IMPROVED MICROPROGRAM EXECUTION TRIGGERED WITH A SINGLE ISSUED EXECUTION TRIGGER INSTRUCTIONOctober 2023August 2025Allow2210YesNo
18287192ACCELERATOR CONTROL SYSTEM USING CONTROL DATA TO PERFORM ARITHMETIC PROCESSING ON A PLURALITY OF ACCELERATORSOctober 2023November 2025Allow2510YesNo
18479320INSTRUCTION EXECUTION CONTROL APPARATUS AND METHOD USING CORRESPONDENCE INFORMATION BETWEEN DIFFERENT PROCESSOR INSTRUCTION SETSOctober 2023August 2025Allow2210NoNo
18375124INFORMATION PROCESSING APPARATUS AND METHOD OF PROCESSING INFORMATIONSeptember 2023September 2025Abandon2410NoNo
18368492ACCELERATOR ARCHITECTURE ON A PROGRAMMABLE PLATFORMSeptember 2023January 2026Allow2840YesNo
18456649FLUSH-ON-DEMAND PROCESSOR INSTRUCTION TRACEAugust 2023February 2026Allow3030YesNo
18361985STREAMING ENGINE WITH EARLY EXIT FROM LOOP LEVELS SUPPORTING EARLY EXIT LOOPS AND IRREGULAR LOOPSJuly 2023July 2025Allow2320NoNo
18224002MICROPROCESSOR WITH APPARATUS AND METHOD FOR HANDLING OF INSTRUCTIONS WITH LONG THROUGHPUTJuly 2023January 2026Allow3011YesNo
18335944COMPUTATIONAL ARRAY MICROPROCESSOR SYSTEM USING NON-CONSECUTIVE DATA FORMATTINGJune 2023September 2024Allow1510YesNo
18208444Forming Constant Extensions in the Same Execute Packet in a VLIW ProcessorJune 2023November 2024Allow1820NoNo
18201293DYNAMIC PROCESSING MEMORY CORE ON A SINGLE MEMORY CHIPMay 2023March 2024Allow910NoNo
18192589DEVICE AND METHOD FOR ON-THE-FLY PROCESSING CHAIN RECONFIGURATION IN A STREAMING BASED NEURAL PROCESSING UNITMarch 2023January 2026Allow3400YesNo
18163472Floating Point Norm InstructionFebruary 2023June 2025Allow2810YesNo
18157942COMPUTER-READABLE RECORDING MEDIUM STORING INSTRUCTION SEQUENCE GENERATION PROGRAM, INSTRUCTION SEQUENCE GENERATION METHOD, AND INFORMATION PROCESSING DEVICEJanuary 2023February 2024Abandon1300NoNo
18155834Dual-Mode Floating Point Processor OperationJanuary 2023December 2025Allow3520YesNo
18092712MEMORY-NETWORK PROCESSOR WITH PROGRAMMABLE OPTIMIZATIONSJanuary 2023September 2023Allow810NoNo
18148759INSTRUCTION RETIREMENT UNIT, INSTRUCTION EXECUTION UNIT, PROCESSING UNIT, COMPUTING DEVICE, AND INSTRUCTION PROCESSING METHOD FOR PERFORMING RETIREMENT PROCESSING ON INSTRUCTIONS BASED ON INSTRUCTION COMPLETION INFORMATIONDecember 2022February 2025Allow2610YesNo
18148654COMPUTING DEVICE AND METHOD FOR FUSING AND EXECUTING VECTOR INSTRUCTIONSDecember 2022September 2024Allow2010YesNo
18086478STORAGE OF TENSOR IN A CACHEDecember 2022January 2026Allow3730YesYes
18083249ACCELERATING FETCH TARGET QUEUE (FTQ) PROCESSING IN A PROCESSORDecember 2022November 2024Allow2320NoNo
18066115SYSTEM AND METHOD FOR SCHEDULING OPERATIONS IN A GRAPHICS PIPELINEDecember 2022June 2025Allow3010YesNo
18076592Instruction Scheduling Method, Instruction Scheduling Apparatus, Device And Storage Medium Based on Durations Consumed by Memory Access instructions During Instruction Running ScenariosDecember 2022April 2025Allow2910YesNo
18070781PROCESSOR, PROCESSING METHOD, AND RELATED DEVICE FOR ACCELERATING GRAPH CALCULATIONNovember 2022May 2024Allow2910NoNo
17993564Software-Defined Tensor Streaming Multiprocessor for Large-Scale Machine LearningNovember 2022December 2024Allow2500YesNo
17959872METHOD AND APPARATUS FOR PERFORMING REDUCTION OPERATIONS ON A PLURALITY OF ASSOCIATED DATA ELEMENT VALUESOctober 2022October 2025Allow3660YesNo
17957604METHODS AND APPARATUS FOR PROVIDING MASK REGISTER OPTIMIZATION FOR VECTOR OPERATIONSSeptember 2022October 2024Allow2420YesNo
17916146A SYSTEM AND METHOD FOR ENABLING RECONFIGURABLE AND FLEXIBLE MODULAR COMPUTESeptember 2022September 2025Allow3520YesNo
17912811SYSTEM ON CHIP ARCHITECTURE, INTERPOSER, FPGA AND METHOD OF DESIGNSeptember 2022July 2025Abandon3430YesNo
17940731ASYNCHRONOUS PIPELINE MERGING USING LONG VECTOR ARBITRATIONSeptember 2022June 2023Allow900YesNo
17889838METHOD FOR EXTRACTING TARGET STRING AT HIGH-SPEED USING VECTOR INSTRUCTIONAugust 2022December 2025Abandon4030YesNo
17879299PREDICTION UNIT THAT PROVIDES A FETCH BLOCK DESCRIPTOR EACH CLOCK CYCLEAugust 2022January 2024Allow1800YesNo
17855860PREDICTION CLASS DETERMINATIONJuly 2022June 2023Allow1200YesNo
17852821BACKWARD COMPATIBILITY BY RESTRICTION OF HARDWARE RESOURCESJune 2022November 2023Allow1620YesNo
17808916PROVIDING EXTENDED BRANCH TARGET BUFFER (BTB) ENTRIES FOR STORING TRUNK BRANCH METADATA AND LEAF BRANCH METADATAJune 2022October 2023Allow1610YesNo
17842613REGISTERS IN A VECTOR PROCESSOR THAT STORE ADDRESSES FOR ACCESSING VECTORSJune 2022August 2025Allow3840NoNo
17838713MICRO-OPERATION SUPPLY RATE VARIATIONJune 2022January 2024Allow1910NoNo
17806234Instruction Fetch Using a Return Prediction CircuitJune 2022November 2023Allow1810YesNo
17835352FOLDED INSTRUCTION FETCH PIPELINEJune 2022August 2023Allow1400NoNo
17833504REGISTER BASED SIMD LOOKUP TABLE OPERATIONSJune 2022January 2025Allow3130YesNo
17804949METHOD AND APPARATUS TO EXPEDITE SYSTEM SERVICES USING PROCESSING-IN-MEMORY (PIM)June 2022April 2024Allow2210YesNo
17828075COMPUTER-READABLE RECORDING MEDIUM STORING PROGRAM FOR CONVERTING FIRST SINGLE INSTRUCTION MULTIPLE DATA (SIMD) COMMAND USING FIRST MASK REGISTER INTO SECOND SIMD COMMAND USING SECOND MASK REGISTER, COMMAND CONVERSION METHOD FOR CONVERTING FIRST SIMD COMMAND USING FIRST MASK REGISTER INTO SECOND SIMD COMMAND USING SECOND MASK REGISTER, AND COMMAND CONVERSION APPARATUS FOR CONVERTING FIRST SIMD COMMAND USING FIRST MASK REGISTER INTO SECOND SIMD COMMAND USING SECOND MASK REGISTERMay 2022July 2023Allow1400NoNo
17827291REUSING FETCHED, FLUSHED INSTRUCTIONS AFTER AN INSTRUCTION PIPELINE FLUSH IN RESPONSE TO A HAZARD IN A PROCESSOR TO REDUCE INSTRUCTION RE-FETCHINGMay 2022March 2023Allow1000YesNo
17752060RE-ENABLING USE OF PREDICTION TABLE AFTER EXECUTION STATE SWITCHMay 2022August 2023Allow1510NoNo
17733728MICROPROCESSOR WITH SHARED READ AND WRITE BUSES AND INSTRUCTION ISSUANCE TO MULTIPLE REGISTER SETS IN ACCORDANCE WITH A TIME COUNTERApril 2022July 2024Allow2710YesNo
17755130DECOUPLED ACCESS-EXECUTE PROCESSINGApril 2022February 2024Allow2110YesNo
17770553METHOD AND SYSTEM FOR DISTRIBUTING INSTRUCTIONS IN RECONFIGURABLE PROCESSOR AND STORAGE MEDIUMApril 2022February 2024Allow2210NoNo
17721193PROCESSOR AUTHENTICATION METHODApril 2022August 2023Allow1610NoNo
17718258FETCH STAGE HANDLING OF INDIRECT JUMPS IN A PROCESSOR PIPELINEApril 2022June 2023Allow1410YesNo
17712966METHOD AND APPARATUS FOR PERFORMING REDUCTION OPERATIONS ON A PLURALITY OF ASSOCIATED DATA ELEMENT VALUESApril 2022December 2024Abandon3240YesNo
17709824TAG CHECKING PROCEDURE CALLSMarch 2022October 2025Allow4310YesNo
17705946TRACKER FOR INDIVIDUAL BRANCH MISPREDICTION COSTMarch 2022September 2025Allow4210NoNo
17703773ISSUING INSTRUCTIONS BASED ON RESOURCE CONFLICT CONSTRAINTS IN MICROPROCESSORMarch 2022September 2023Allow1810NoNo
17702714STACK TRACES USING SHADOW STACKMarch 2022October 2023Allow1800YesNo
17689368METHOD FOR PATCHING CHIP AND CHIPMarch 2022January 2025Abandon3520YesNo
17640589METHOD, SYSTEM AND DEVICE FOR IMPROVED EFFICIENCY OF PIPELINE PROCESSING OF INSTRUCTIONS, AND COMPUTER STORAGE MEDIUMMarch 2022October 2023Allow2010YesNo
17682091REDUCING SILENT DATA ERRORS USING A HARDWARE MICRO-LOCKSTEP TECHNIQUEFebruary 2022January 2026Abandon4610NoNo
17590719Conditional Instructions PredictionFebruary 2022April 2024Allow2620YesNo
17578516PROCESSING DEVICE WITH A MICROBRANCH TARGET BUFFER FOR BRANCH PREDICTION USING LOOP ITERATION COUNTJanuary 2022September 2023Allow2010NoNo
17577577EFFICIENT INTER-THREAD COMMUNICATION BETWEEN HARDWARE PROCESSING THREADS OF A HARDWARE MULTITHREADED PROCESSOR BY SELECTIVE ALIASING OF REGISTER BLOCKSJanuary 2022April 2023Allow1510NoNo
17571130ARITHMETIC LOGIC UNIT LAYOUT FOR A PROCESSORJanuary 2022August 2023Allow1910NoNo
17565001MULTI-TABLE INSTRUCTION PREFETCH UNIT FOR MICROPROCESSORDecember 2021December 2023Allow2421YesNo
17558361DEVICE, METHOD, AND SYSTEM TO FACILITATE IMPROVED BANDWIDTH OF A BRANCH PREDICTION UNITDecember 2021June 2025Allow4210NoNo
17549727TECHNOLOGIES FOR HARDWARE MICROSERVICES ACCELERATED IN XPUDecember 2021February 2026Allow5020YesNo
17611670METHOD AND APPARATUS FOR SCHEDULING OUT-OF-ORDER EXECUTION QUEUE IN OUT-OF-ORDER PROCESSORNovember 2021April 2024Allow2920NoNo
17515538PROCESSOR AND OPERATING METHOD THEREOF FOR RENAMING DESTINATION LOGICAL REGISTER OF MOVE INSTRUCTIONOctober 2021April 2024Allow3040YesNo
17512082Memory Systems and Memory Control MethodsOctober 2021March 2025Abandon4140YesNo
17509897PROGRAM FLOW PREDICTION FOR LOOPSOctober 2021January 2023Allow1410NoNo
17451984COMPUTATIONAL ARRAY MICROPROCESSOR SYSTEM USING NON-CONSECUTIVE DATA FORMATTINGOctober 2021January 2023Allow1500YesNo
17493667APPARATUS AND METHOD FOR LOOP FLATTENING AND REDUCTION IN A SINGLE INSTRUCTION MULTIPLE DATA (SIMD) PIPELINEOctober 2021March 2024Abandon2910NoNo
17492068CONTROL OF BRANCH PREDICTION FOR ZERO-OVERHEAD LOOPOctober 2021January 2023Allow1610NoNo
17384646ZERO OPERAND INSTRUCTION CONVERSION FOR ACCELERATING SPARSE COMPUTATIONS IN A CENTRAL PROCESSING UNIT PIPELINEJuly 2021March 2023Allow2010YesNo
17369021DYNAMIC PROCESSING MEMORYJuly 2021March 2024Allow3310YesNo
17366244THREAD PRIORITIES USING MISPREDICTION RATE AND SPECULATIVE DEPTHJuly 2021August 2023Allow2640YesNo
17364824CONSTRAINED CARRIES ON SPECULATIVE COUNTERSJune 2021January 2023Allow1810YesNo
17344070PROCESSOR AND PIPELINE PROCESSING METHOD FOR PROCESSING MULTIPLE THREADS INCLUDING WAIT INSTRUCTION PROCESSINGJune 2021January 2023Allow1920NoNo
17335089MICROPROCESSOR WITH SHARED FUNCTIONAL UNIT FOR EXECUTING MULTI-TYPE INSTRUCTIONSJune 2021August 2022Allow1410YesNo
17322598Exception HandlingMay 2021March 2022Allow1000YesNo
17318252PROCESSOR DEPENDENCY-AWARE INSTRUCTION EXECUTIONMay 2021August 2022Allow1520YesNo
17232386SYSTEMS AND METHODS FOR REDUCING POWER CONSUMPTION IN EMBEDDED MACHINE LEARNING ACCELERATORSApril 2021January 2025Allow4550NoNo
17232634UNIVERSAL SYNCHRONOUS FIFO IP CORE FOR FIELD PROGRAMMABLE GATE ARRAYSApril 2021September 2025Allow5380YesNo
17282608DYNAMIC PROCESSING MEMORY CORE ON A SINGLE MEMORY CHIPApril 2021July 2025Abandon5130NoNo
17214804Reconfigurable Multi-Thread Processor for Simultaneous Operations on Split Instructions and OperandsMarch 2021June 2023Allow2611YesNo
17213453CONTROL FLOW MECHANISM FOR EXECUTION OF GRAPHICS PROCESSOR INSTRUCTIONS USING ACTIVE CHANNEL PACKINGMarch 2021August 2022Allow1720YesNo
17203205MEMORY-NETWORK PROCESSOR WITH PROGRAMMABLE OPTIMIZATIONSMarch 2021August 2022Allow1710YesNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner SPANN, COURTNEY P.

Strategic Value of Filing an Appeal

Total Appeal Filings
4
Allowed After Appeal Filing
1
(25.0%)
Not Allowed After Appeal Filing
3
(75.0%)
Filing Benefit Percentile
34.4%
Lower than average

Understanding Appeal Filing Strategy

Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.

In this dataset, 25.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is below the USPTO average, suggesting that filing an appeal has limited effectiveness in prompting favorable reconsideration.

Strategic Recommendations

Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.

Examiner SPANN, COURTNEY P - Prosecution Strategy Guide

Executive Summary

Examiner SPANN, COURTNEY P works in Art Unit 2183 and has examined 211 patent applications in our dataset. With an allowance rate of 77.7%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 34 months.

Allowance Patterns

Examiner SPANN, COURTNEY P's allowance rate of 77.7% places them in the 45% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.

Office Action Patterns

On average, applications examined by SPANN, COURTNEY P receive 2.72 office actions before reaching final disposition. This places the examiner in the 80% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.

Prosecution Timeline

The median time to disposition (half-life) for applications examined by SPANN, COURTNEY P is 34 months. This places the examiner in the 43% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.

Interview Effectiveness

Conducting an examiner interview provides a +36.8% benefit to allowance rate for applications examined by SPANN, COURTNEY P. This interview benefit is in the 85% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 26.1% of applications are subsequently allowed. This success rate is in the 42% percentile among all examiners. Strategic Insight: RCEs show below-average effectiveness with this examiner. Carefully evaluate whether an RCE or continuation is the better strategy.

After-Final Amendment Practice

This examiner enters after-final amendments leading to allowance in 17.7% of cases where such amendments are filed. This entry rate is in the 20% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.

Pre-Appeal Conference Effectiveness

When applicants request a pre-appeal conference (PAC) with this examiner, 200.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 94% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences are highly effective with this examiner compared to others. Before filing a full appeal brief, strongly consider requesting a PAC. The PAC provides an opportunity for the examiner and supervisory personnel to reconsider the rejection before the case proceeds to the PTAB.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 100.0% of appeals filed. This is in the 89% percentile among all examiners. Of these withdrawals, 100.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner frequently reconsiders rejections during the appeal process compared to other examiners. Per MPEP § 1207.01, all appeals must go through a mandatory appeal conference. Filing a Notice of Appeal may prompt favorable reconsideration even before you file an Appeal Brief.

Petition Practice

When applicants file petitions regarding this examiner's actions, 46.2% are granted (fully or in part). This grant rate is in the 40% percentile among all examiners. Strategic Note: Petitions show below-average success regarding this examiner's actions. Ensure you have a strong procedural basis before filing.

Examiner Cooperation and Flexibility

Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 12% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.

Quayle Actions: This examiner issues Ex Parte Quayle actions in 1.2% of allowed cases (in the 63% percentile). This examiner issues Quayle actions more often than average when claims are allowable but formal matters remain (MPEP § 714.14).

Prosecution Strategy Recommendations

Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:

  • Expect multiple rounds of prosecution: This examiner issues more office actions than average. Address potential issues proactively in your initial response and consider requesting an interview early in prosecution.
  • Prioritize examiner interviews: Interviews are highly effective with this examiner. Request an interview after the first office action to clarify issues and potentially expedite allowance.
  • Plan for RCE after final rejection: This examiner rarely enters after-final amendments. Budget for an RCE in your prosecution strategy if you receive a final rejection.
  • Request pre-appeal conferences: PACs are highly effective with this examiner. Before filing a full appeal brief, request a PAC to potentially resolve issues without full PTAB review.
  • Appeal filing as negotiation tool: This examiner frequently reconsiders rejections during the appeal process. Filing a Notice of Appeal may prompt favorable reconsideration during the mandatory appeal conference.

Relevant MPEP Sections for Prosecution Strategy

  • MPEP § 713.10: Examiner interviews - available before Notice of Allowance or transfer to PTAB
  • MPEP § 714.12: After-final amendments - may be entered "under justifiable circumstances"
  • MPEP § 1002.02(c): Petitionable matters to Technology Center Director
  • MPEP § 1004: Actions requiring primary examiner signature (allowances, final rejections, examiner's answers)
  • MPEP § 1207.01: Appeal conferences - mandatory for all appeals
  • MPEP § 1214.07: Reopening prosecution after appeal

Important Disclaimer

Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.

No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.

Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.

Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.