USPTO Examiner DOMAN SHAWN - Art Unit 2183

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18896789IMPROVING COMPUTING EFFICIENCY OF A PROCESSOR BY OPTIMIZING A COMPUTATIONAL SIZE OF EACH COMPUTING CORE IN THE PROCESSORSeptember 2024March 2025Allow610NoNo
18607703STREAM DATA UNIT WITH MULTIPLE HEAD REGISTERSMarch 2024December 2024Allow900NoNo
18427411CONDITIONAL BRANCH INSTRUCTIONSJanuary 2024April 2025Allow1400NoNo
18426237LOOP EXECUTION IN A RECONFIGURABLE COMPUTE FABRIC USING FLOW CONTROLLERS FOR RESPECTIVE SYNCHRONOUS FLOWSJanuary 2024March 2025Allow1310NoNo
18532245ARCHITECTURE FOR BLOCK SPARSE OPERATIONS ON A SYSTOLIC ARRAYDecember 2023September 2024Allow900YesNo
18524149Stateful Vector Group Permutation with Storage ReuseNovember 2023May 2025Allow1800NoNo
18377804Execution or Write Mask Generation for Data Selection in a Multi-Threaded, Self-Scheduling Reconfigurable Computing FabricOctober 2023July 2024Allow900NoNo
18261966CIRCUITRY AND METHOD FOR INSTRUCTION EXECUTION IN DEPENDENCE UPON TRIGGER CONDITIONSJuly 2023November 2024Allow1600YesNo
18352351Sharing Branch Predictor Resource for Instruction Cache and Trace Cache PredictionsJuly 2023May 2025Allow2210NoNo
18217368VECTOR PROCESSOR WITH VECTOR DATA BUFFERJune 2023February 2025Allow2010NoNo
18343294CRACKING INSTRUCTIONS INTO A PLURALITY OF MICRO-OPERATIONSJune 2023November 2024Allow1700NoNo
18332817DATA PROCESSING APPARATUS HAVING STREAMING ENGINE WITH READ AND READ/ADVANCE OPERAND CODINGJune 2023March 2025Allow2120NoNo
18206163Processing call and return information due to a branch prediction errorJune 2023October 2024Allow1600YesNo
18325519ONE-TIME PROGRAMMABLE (OTP) MEMORY CONTROLLER WITH A CONTROL CIRCUIT CONFIGURED TO ASSERT A PRE-LOAD START SIGNAL AND A PRE-LOAD END SIGNAL, RELATED PROCESSING SYSTEM, INTEGRATED CIRCUIT AND METHODMay 2023March 2025Allow2211NoNo
18202161VECTOR POPULATION COUNT DETERMINATION VIA COMPARISON ITERATIONS IN MEMORYMay 2023October 2024Allow1720NoNo
18201755HARDWARE ACCELERATOR FOR EXECUTION OF INSTRUCTION SET OF RECURRENT NEURAL NETWORK, DATA PROCESSING METHOD, SYSTEM-LEVEL CHIP, AND MEDIUM THEREOFMay 2023June 2025Allow2420YesNo
18312612DEVICE, SYSTEM AND METHOD FOR SCHEDULING JOB REQUESTSMay 2023June 2025Abandon2510NoNo
18312079MULTICORE PROCESSOR WITH EACH CORE HAVING INDEPENDENT FLOATING POINT DATAPATH AND INTEGER DATAPATHMay 2023May 2025Allow2530YesNo
18310919Managing Table Accesses for Tagged Geometric Length (TAGE) Load Value PredictionMay 2023August 2024Allow1500YesNo
18194174MEMORY DEVICE FOR PROCESSING OPERATION, DATA PROCESSING SYSTEM INCLUDING THE SAME, AND METHOD OF OPERATING THE MEMORY DEVICEMarch 2023January 2024Allow1000YesNo
18110162METHODS AND DEVICES FOR PROGRAMMING A STATE MACHINE ENGINEFebruary 2023March 2025Allow2530YesNo
18149142METHODS AND APPARATUS FOR THREAD-BASED SCHEDULING IN MULTICORE NEURAL NETWORKSJanuary 2023May 2023Allow500YesNo
18149145METHODS AND APPARATUS FOR THREAD-BASED SCHEDULING IN MULTICORE NEURAL NETWORKSJanuary 2023June 2023Allow500YesNo
18091441DATA DEPENDENCY-AWARE SCHEDULINGDecember 2022March 2025Allow2720YesNo
18087467VARIABLE-LENGTH INSTRUCTIONS FOR VECTOR OPERATIONSDecember 2022October 2023Allow1010NoNo
18061164System and Method for Implementing Strong Load Ordering in a Processor Using a Circular Ordering RingDecember 2022July 2023Allow700YesNo
18072818JOB LIMIT ENFORCEMENT FOR IMPROVED MULTITENANT QUALITY OF SERVICEDecember 2022March 2025Allow2720YesYes
18045928Instruction Support for Matrix Multiplication That Maps Vector Register Length to a Shared Input Matrix DimensionOctober 2022March 2025Abandon2920YesNo
17959829REUSE OF BRANCH INFORMATION QUEUE ENTRIES FOR MULTIPLE INSTANCES OF PREDICTED CONTROL INSTRUCTIONS IN CAPTURED LOOPS IN A PROCESSOROctober 2022January 2024Allow1600NoNo
17933040Processing of Synchronization Barrier InstructionsSeptember 2022March 2024Allow1801NoNo
17945843ACCELERATING DATA PROCESSING BY OFFLOADING THREAD COMPUTATIONSeptember 2022July 2024Allow2210NoNo
17931667DYNAMIC, LOW-LATENCY, DEPENDENCY-AWARE SCHEDULING ON SIMD-LIKE DEVICES FOR PROCESSING OF RECURRING AND NON-RECURRING EXECUTIONS OF TIME-SERIES DATASeptember 2022March 2024Allow1810NoNo
17942554ISSUING A SEQUENCE OF INSTRUCTIONS INCLUDING A CONDITION-DEPENDENT INSTRUCTIONSeptember 2022January 2024Allow1600YesNo
17941986System for Executing an Application on Heterogeneous Reconfigurable ProcessorsSeptember 2022January 2024Allow1600NoNo
17899714CONTEXT LOAD MECHANISM IN A COARSE-GRAINED RECONFIGURABLE ARRAY PROCESSORAugust 2022October 2023Allow1400NoNo
17823279Processor Implementing Parallel In-order Execution During Load MissesAugust 2022February 2024Allow1710YesNo
17817866Stack Pointer Instruction Buffer For Zero-Cycle LoadsAugust 2022September 2023Allow1300NoNo
17879525PREDICTION UNIT WITH FIRST PREDICTOR THAT PROVIDES A HASHED FETCH ADDRESS OF A CURRENT FETCH BLOCK TO ITS OWN INPUT AND TO A SECOND PREDICTOR THAT USES IT TO PREDICT THE FETCH ADDRESS OF A NEXT FETCH BLOCKAugust 2022May 2024Allow2200YesNo
17812214Method Of Debugging A Processor That Executes Vertices Of an Application, Each Vertex Being Assigned To a Programming Thread of the ProcessorJuly 2022September 2023Allow1410NoNo
17839856CONCURRENT MULTI-DATATYPE EXECUTION WITHIN A PROCESSING RESOURCEJune 2022June 2024Allow2430YesNo
17733386Hardware Unit for Performing Matrix Multiplication with Clock GatingApril 2022May 2025Allow3640YesNo
17659569Load-Store Unit Dual Tags and ReplaysApril 2022March 2024Allow2320YesNo
17708344HYBRID PARALLELIZED TAGGED GEOMETRIC (TAGE) BRANCH PREDICTIONMarch 2022December 2024Allow3230NoNo
17704122PROCESSOR USING TARGET INSTRUCTIONS TO MARK EXECUTION SEQUENCES WHICH ARE TARGETS OF BRANCH INSTRUCTIONSMarch 2022July 2025Abandon3940NoNo
17763490METHOD AND DEVICE TO SYNCHRONIZE MULTI-THREAD LOCKINGMarch 2022December 2024Abandon3220NoNo
17701749IC INCLUDING LOGIC TILE, HAVING RECONFIGURABLE MAC PIPELINE, AND RECONFIGURABLE MEMORYMarch 2022January 2023Allow1000NoNo
17699217ARITHMETIC PROCESSING DEVICE AND ARITHMETIC PROCESSING METHOD OF REDUCING PIPELINE STALLS IN EXECUTING SINGLE INSTRUCTION/MULTIPLE DATAMarch 2022December 2024Abandon3340NoNo
17677413METHODS AND SYSTEMS FOR NESTED STREAM PREFETCHING FOR GENERAL PURPOSE CENTRAL PROCESSING UNITSFebruary 2022April 2023Allow1300YesNo
17671356APPARATUS AND METHOD FOR VECTOR HORIZONTAL ADD OF SIGNED/UNSIGNED WORDS AND DOUBLEWORDSFebruary 2022June 2025Abandon4040YesNo
17665958METHOD AND APPARATUS TO SORT A VECTOR FOR A BITONIC SORTING ALGORITHMFebruary 2022November 2022Allow900NoNo
17591963HARDWARE-IMPLEMENTED UNIVERSAL FLOATING-POINT INSTRUCTION SET ARCHITECTURE FOR COMPUTING DIRECTLY WITH HUMAN-READABLE DECIMAL CHARACTER SEQUENCE FLOATING-POINT REPRESENTATION OPERANDSFebruary 2022February 2023Allow1311YesNo
17587719System and Method for Implementing Strong Load Ordering in a Processor Using a Circular Ordering RingJanuary 2022November 2022Allow900YesNo
17648517DATA EXCHANGE PATHWAYS BETWEEN PAIRS OF PROCESSING UNITS IN COLUMNS IN A COMPUTERJanuary 2022September 2022Allow800NoNo
17570349METHOD AND DEVICE FOR PROVIDING A VECTOR STREAM INSTRUCTION SET ARCHITECTURE EXTENSION FOR A CPUJanuary 2022March 2025Abandon3840NoNo
17566040STATEFUL MICROCODE BRANCHINGDecember 2021January 2024Allow2420YesNo
17557712STREAM DATA UNIT WITH MULTIPLE HEAD REGISTERSDecember 2021November 2023Allow2320NoYes
17555408Fully pipelined hardware operator logic circuit for converting human-readable decimal character sequence floating-point representations to IEEE 754-2008 binary floating-point format representationsDecember 2021February 2023Allow1411NoNo
17553780Throttling Code Fetch For Speculative Code PathsDecember 2021March 2025Allow3910YesNo
17543096APPARATUS AND METHOD FOR BRANCH PREDICTION USING MACHINE LEARNING WITH NEW LEARNING MODELSDecember 2021March 2025Allow3940NoNo
17613661RISC-V BRANCH PREDICTION METHOD, DEVICE, ELECTRONIC DEVICE AND STORAGE MEDIUMNovember 2021July 2024Abandon3220NoNo
17523560METHOD AND APPARATUS FOR DYNAMICALLY SIMPLIFYING PROCESSOR INSTRUCTIONSNovember 2021July 2023Allow2010NoNo
17454171VECTOR REGISTERS IMPLEMENTED IN MEMORYNovember 2021September 2022Allow1100YesNo
17520281SCHEDULE-AWARE DYNAMICALLY RECONFIGURABLE ADDER TREE ARCHITECTURE FOR PARTIAL SUM ACCUMULATION IN MACHINE LEARNING ACCELERATORSNovember 2021July 2024Allow3230YesNo
17515712Managing Out-of-Order Retirement of Instructions Based on Received Instructions Indicating Start or Stop to Out-of-Order RetirementNovember 2021July 2023Allow2130YesNo
17451406INSTRUCTION SCHEDULING IN A PROCESSOR USING OPERATION SOURCE PARENT TRACKINGOctober 2021November 2023Allow2520YesNo
17603896Reconfigurable System-On-ChipOctober 2021March 2025Abandon4140NoNo
17488359INFORMATION PROCESSING DEVICE, COMPILING METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ACCELERATING EXECUTION SPEED OF PROGRAMSSeptember 2021June 2023Allow2130YesNo
17476749Tensor Partitioning and Partition Access OrderSeptember 2021September 2022Allow1200YesNo
17476690NEURON CACHE-BASED HARDWARE BRANCH PREDICTIONSeptember 2021September 2023Allow2420YesNo
17473001Execution or Write Mask Generation for Data Selection in a Multi-Threaded, Self-Scheduling Reconfigurable Computing FabricSeptember 2021May 2023Allow2000NoNo
17471170METHOD OF CONVERTING EXTENDED INSTRUCTIONS BASED ON AN EMULATION FLAG AND RETIREMENT OF CORRESPONDING MICROINSTRUCTIONS, DEVICE AND SYSTEM USING THE SAMESeptember 2021July 2023Allow2221YesNo
17470089VERIFYING COMPRESSED STREAM FUSED WITH COPY OR TRANSFORM OPERATIONSSeptember 2021November 2024Allow3810NoNo
17469311SYNCHRONIZATION MECHANISMS FOR A MULTI-CORE PROCESSOR USING WAIT COMMANDS HAVING EITHER A BLOCKING OR A NON-BLOCKING STATESeptember 2021September 2023Allow2510YesNo
17458717INSTRUCTION HANDLING FOR ACCUMULATION OF REGISTER RESULTS IN A MICROPROCESSORAugust 2021April 2023Allow2030NoNo
17458407DEPENDENCY SKIPPING IN A LOAD-COMPARE-JUMP SEQUENCE OF INSTRUCTIONS BY INCORPORATING COMPARE FUNCTIONALITY INTO THE JUMP INSTRUCTION AND AUTO-FINISHING THE COMPARE INSTRUCTIONAugust 2021September 2023Allow2530YesNo
17410811Tracing Synchronisation Activity of a Processing UnitAugust 2021October 2023Allow2610NoNo
17407502TILE-BASED RESULT BUFFERING IN MEMORY-COMPUTE SYSTEMSAugust 2021January 2023Allow1700YesNo
17405371LOOP EXECUTION IN A RECONFIGURABLE COMPUTE FABRIC USING FLOW CONTROLLERS FOR RESPECTIVE SYNCHRONOUS FLOWSAugust 2021October 2023Allow2620NoNo
17402840DATA INPUT/OUTPUT OPERATIONS DURING LOOP EXECUTION IN A RECONFIGURABLE COMPUTE FABRICAugust 2021November 2022Allow1510NoNo
17402997MASK FIELD PROPAGATION AMONG MEMORY-COMPUTE TILES IN A RECONFIGURABLE ARCHITECTUREAugust 2021May 2023Allow2110NoNo
17444788Use of Multiple Different Variants of Floating Point Number Formats in Floating Point Operations on a Per-Operand BasisAugust 2021December 2023Allow2830NoNo
17378342Defect Repair for a Reconfigurable Data Processor for Homogeneous SubarraysJuly 2021August 2022Allow1320YesNo
17372465Writeback Hazard Elimination Using A Plurality Of Temporary Result-Storage ElementsJuly 2021May 2023Allow2220YesNo
17367521METHODS AND APPARATUS FOR THREAD-BASED SCHEDULING IN MULTICORE NEURAL NETWORKSJuly 2021December 2022Allow1701YesNo
17304775SYSTEMS, METHODS AND APPARATUS FOR SPECULATIVE ELIMINATION OF LOAD INSTRUCTIONJune 2021August 2024Allow3800YesNo
17350393NEURAL NETWORK PROCESSING ASSIST INSTRUCTIONJune 2021March 2023Allow2130YesNo
17345290Assigning Identifiers to Processing Units in a Column to Repair a Defective Processing Unit in the ColumnJune 2021February 2023Allow2010NoNo
17343582FLEXIBLE ACCELERATOR FOR A TENSOR WORKLOADJune 2021February 2024Abandon3220NoNo
17216647Tensor Partitioning and Partition Access OrderMarch 2021August 2021Allow410YesNo
17156975SYSTEMS AND METHODS FOR CONTROLLING MACHINE OPERATIONS WITHIN A MULTI-DIMENSIONAL MEMORY SPACEJanuary 2021August 2022Allow1800NoNo
17151039VECTOR POPULATION COUNT DETERMINATION VIA COMPARSION ITERATIONS IN MEMORYJanuary 2021January 2023Allow2420YesNo
17136738Management of Thrashing in a GPUDecember 2020August 2023Allow3200NoNo
17130016SEGMENTED BRANCH TARGET BUFFER BASED ON BRANCH INSTRUCTION TYPEDecember 2020September 2024Allow4520YesNo
17131647HIERARCHICAL THREAD SCHEDULING BASED ON MULTIPLE BARRIERSDecember 2020December 2023Allow3610YesNo
17129515SYSTEMS AND METHODS FOR DEFINING A DEPENDENCY OF PRECEDING AND SUCCEEDING INSTRUCTIONSDecember 2020April 2023Allow2830NoNo
17129693EFFICIENT DIVIDE AND ACCUMULATE INSTRUCTION WHEN AN OPERAND IS EQUAL TO OR NEAR A POWER OF TWODecember 2020February 2025Abandon5020NoNo
17122905DOT PRODUCT OPERATIONS ON SPARSE MATRIX ELEMENTSDecember 2020August 2023Allow3270YesNo
17104940Data Selection for a Processor Pipeline Using Multiple Supply LinesNovember 2020April 2022Allow1700NoNo
16950936PROGRAMMABLE INSTRUCTION BUFFERING FOR ACCUMULATING A BURST OF INSTRUCTIONSNovember 2020October 2022Allow2320NoNo
17091961ON-CIRCUIT UTILIZATION MONITORING FOR A SYSTOLIC ARRAYNovember 2020August 2024Allow4630NoNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner DOMAN, SHAWN.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
8
Examiner Affirmed
6
(75.0%)
Examiner Reversed
2
(25.0%)
Reversal Percentile
37.6%
Lower than average

What This Means

With a 25.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings
16
Allowed After Appeal Filing
7
(43.8%)
Not Allowed After Appeal Filing
9
(56.2%)
Filing Benefit Percentile
69.9%
Higher 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, 43.8% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.

Strategic Recommendations

Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.

Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.

Examiner DOMAN, SHAWN - Prosecution Strategy Guide

Executive Summary

Examiner DOMAN, SHAWN works in Art Unit 2183 and has examined 293 patent applications in our dataset. With an allowance rate of 73.4%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 30 months.

Allowance Patterns

Examiner DOMAN, SHAWN's allowance rate of 73.4% places them in the 29% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.

Office Action Patterns

On average, applications examined by DOMAN, SHAWN receive 2.57 office actions before reaching final disposition. This places the examiner in the 87% 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 DOMAN, SHAWN is 30 months. This places the examiner in the 40% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.

Interview Effectiveness

Conducting an examiner interview provides a +17.6% benefit to allowance rate for applications examined by DOMAN, SHAWN. This interview benefit is in the 63% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 23.3% of applications are subsequently allowed. This success rate is in the 22% percentile among all examiners. Strategic Insight: RCEs show lower effectiveness with this examiner compared to others. Consider whether a continuation application might be more strategic, especially if you need to add new matter or significantly broaden claims.

After-Final Amendment Practice

This examiner enters after-final amendments leading to allowance in 9.0% of cases where such amendments are filed. This entry rate is in the 4% 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, 66.7% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 51% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences show above-average effectiveness with this examiner. If you have strong arguments, a PAC request may result in favorable reconsideration.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 57.9% of appeals filed. This is in the 26% percentile among all examiners. Of these withdrawals, 45.5% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.

Petition Practice

When applicants file petitions regarding this examiner's actions, 22.2% are granted (fully or in part). This grant rate is in the 13% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.

Examiner Cooperation and Flexibility

Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 11% 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 0.9% of allowed cases (in the 55% 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.
  • 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.

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.