USPTO Examiner ALLI KASIM A - Art Unit 2183

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18830458VECTOR COMPUTATIONAL UNITSeptember 2024October 2025Allow1300YesNo
18798035PROCESSOR, METHOD, AND SYSTEM FOR ACCELERATING TENSOR TRANSPOSE FOR MACHINE LEARNINGAugust 2024February 2026Allow1910YesNo
18742976RESERVATION STATION WITH MULTIPLE ENTRY TYPESJune 2024January 2026Allow1910YesNo
18670039PREFETCH REQUEST GENERATIONMay 2024January 2026Allow2010YesNo
18378207IMPLIED FENCE ON STREAM OPENOctober 2023November 2025Allow2510NoNo
18135481EXECUTING PHANTOM LOOPS IN A MICROPROCESSORApril 2023October 2025Allow3020YesNo
18032157BREATHING OPERAND WINDOWS TO EXPLOIT BYPASSING IN GRAPHICS PROCESSING UNITSApril 2023March 2026Abandon3520NoNo
17965275STORE TO LOAD FORWARDING USING HASHESOctober 2022August 2025Allow3440YesNo
17853087REDUCING INSTRUMENTATION CODE BLOAT AND PERFORMANCE OVERHEADS USING A RUNTIME CALL INSTRUCTIONJune 2022February 2026Allow4310YesNo
17699855Load Dependent Branch PredictionMarch 2022December 2025Abandon4540YesNo
17227167METHOD FOR VECTORIZING HEAPSORT USING HORIZONTAL AGGREGATION SIMD INSTRUCTIONSApril 2021June 2022Allow1500YesNo
17172134DYNAMIC ALLOCATION OF EXECUTABLE CODE FOR MULTI-ARCHITECTURE HETEROGENEOUS COMPUTINGFebruary 2021May 2021Allow300YesNo
17125694APPARATUS AND METHOD FOR GENERATING PERFORMANCE MONITORING METRICSDecember 2020January 2023Abandon2520NoNo
17082509METHOD FOR REPLENISHING A THREAD QUEUE WITH A TARGET INSTRUCTION OF A JUMP INSTRUCTIONOctober 2020September 2022Allow2340YesNo
17069191MICROPROCESSOR WITH INSTRUCTION FETCHING FAILURE SOLUTIONOctober 2020May 2022Allow1910NoNo
17029335System, Apparatus And Methods For Register Hardening Via A Micro-OperationSeptember 2020March 2026Abandon6041YesNo
17011808STREAMING ENGINE WITH STREAM METADATA SAVING FOR CONTEXT SWITCHINGSeptember 2020March 2022Allow1900NoNo
16930192Group Load Register of a Graph Streaming ProcessorJuly 2020June 2022Allow2310YesNo
16914317LOADING AND STORING MATRIX DATA WITH DATATYPE CONVERSIONJune 2020March 2026Abandon6060NoNo
16806063SHARED POINTER FOR LOCAL HISTORY RECORDS USED BY PREDICTION CIRCUITRYMarch 2020January 2022Allow2300YesNo
16786457Method of Storing Register Data Elements to Interleave with Data Elements of a Different Register, a Processor Thereof, and a System ThereofFebruary 2020May 2022Allow2710NoNo
16714899COMPUTING DEVICE AND METHODDecember 2019July 2021Allow1900YesNo
16585817BIT WIDTH RECONFIGURATION USING A SHADOW-LATCH CONFIGURED REGISTER FILESeptember 2019August 2022Allow3530YesNo
16577264DYNAMIC HAMMOCK BRANCH TRAINING FOR BRANCH HAMMOCK DETECTION IN AN INSTRUCTION STREAM EXECUTING IN A PROCESSORSeptember 2019October 2021Allow2510YesNo
16535309Reducing Operations of Sum-Of-Multiply-Accumulate (SOMAC) InstructionsAugust 2019September 2022Allow3740YesNo
16532535EFFICIENT ENCODING OF HIGH FANOUT COMMUNICATIONSAugust 2019December 2022Abandon4040YesNo
16427678Managing Load and Store Instructions for Memory Barrier HandlingMay 2019July 2022Allow3840YesNo
16428846Gateway Pull ModelMay 2019July 2022Allow3830YesNo
16464677DISTRIBUTED SYSTEMMay 2019February 2022Abandon3320NoNo
16417500VECTOR INDEX REGISTERSMay 2019January 2022Allow3220YesNo
16416581INSTRUCTION SCHEDULING DURING EXECUTION IN A PROCESSORMay 2019December 2021Allow3120YesNo
16414415EFFICIENT LOAD VALUE PREDICTIONMay 2019September 2021Allow2821YesNo
16412968MEMORY CIRCUIT FOR HALTING A PROGRAM COUNTER WHILE FETCHING AN INSTRUCTION SEQUENCE FROM MEMORYMay 2019September 2022Allow4141YesNo
16412746HARDWARE FOR SUPPORTING TIME TRIGGERED LOAD ANTICIPATION IN THE CONTEXT OF A REAL TIME OSMay 2019January 2022Allow3220YesNo
16364688System, Apparatus And Method For Program Order Queue (POQ) To Manage Data Dependencies In Processor Having Multiple Instruction QueuesMarch 2019September 2021Allow3020YesNo
16362121SECURE PREDICTORS FOR SPECULATIVE EXECUTIONMarch 2019April 2022Allow3740YesNo
16356875REACH-BASED EXPLICIT DATAFLOW PROCESSORS, AND RELATED COMPUTER-READABLE MEDIA AND METHODSMarch 2019March 2022Allow3640YesNo
16354697METHOD TO DETERMINE THE OLDEST INSTRUCTION IN AN INSTRUCTION QUEUE OF A PROCESSOR WITH MULTIPLE INSTRUCTION THREADSMarch 2019August 2021Allow3020YesNo
16299483METHOD FOR VECTORIZING HEAPSORT USING HORIZONTAL AGGREGATION SIMD INSTRUCTIONSMarch 2019February 2021Allow2320YesNo
16266448ARITHMETIC PROCESSING UNIT AND CONTROL METHOD FOR ARITHMETIC PROCESSING UNITFebruary 2019July 2021Allow2920YesNo
16233035HARDWARE PROFILER TO TRACK INSTRUCTION SEQUENCE INFORMATION INCLUDING A BLACKLISTING MECHANISM AND A WHITELISTING MECHANISMDecember 2018June 2021Abandon2920NoNo
16231684TIMING CONTROLLER BASED ON HEAP SORTING, MODEM CHIP INCLUDING THE SAME, AND INTEGRATED CIRCUIT INCLUDING THE TIMING CONTROLLERDecember 2018March 2021Allow2720YesNo
16200191SELECTIVELY SUPPORTING STATIC BRANCH PREDICTION SETTINGS ONLY IN ASSOCIATION WITH PROCESSOR-DESIGNATED TYPES OF INSTRUCTIONSNovember 2018June 2021Allow3120YesNo
16196858RECONFIGURABLE PROCESSING UNITNovember 2018May 2021Allow3030YesNo
16196151Adaptive Utilization Mechanism for a First-Line Defense Branch PredictorNovember 2018August 2022Allow4560YesNo
16129480PROVIDING MATRIX MULTIPLICATION USING VECTOR REGISTERS IN PROCESSOR-BASED DEVICESSeptember 2018October 2021Abandon3740NoNo
16120674BRANCH TARGET LOOK UP SUPPRESSIONSeptember 2018February 2021Allow2920NoNo
16120675AGE TRACKING FOR INDEPENDENT PIPELINESSeptember 2018April 2022Allow4430YesNo
16019502SYSTEM AND METHOD OF REDUCING COMPUTER PROCESSOR POWER CONSUMPTION USING MICRO-BTB VERIFIED EDGE FEATUREJune 2018February 2022Abandon4440YesNo
15964197ARITHMETIC PROCESSING APPARATUS AND METHOD FOR CONTROLLING ARITHMETIC PROCESSING APPARATUSApril 2018September 2021Allow4040YesNo
15920156VECTOR COMPUTATIONAL UNITMarch 2018March 2022Allow4940YesNo
15920165VECTOR COMPUTATIONAL UNIT RECEIVING DATA ELEMENTS IN PARALLEL FROM A LAST ROW OF A COMPUTATIONAL ARRAYMarch 2018September 2022Allow5440YesNo
15920150COMPUTATIONAL ARRAY MICROPROCESSOR SYSTEM WITH VARIABLE LATENCY MEMORY ACCESSMarch 2018June 2021Allow3920YesNo
15853628SYSTEM AND METHOD FOR MERGING DIVIDE AND MULTIPLY-SUBTRACT OPERATIONSDecember 2017August 2021Abandon4440YesNo
15826745ISSUE QUEUE WITH DYNAMIC SHIFTING BETWEEN PORTSNovember 2017August 2020Allow3320YesNo
15818304SELECTIVE PREFETCHING IN MULTITHREADED PROCESSING UNITSNovember 2017May 2021Allow4220YesNo
15590883PROCESSOR WITH MEMORY CONTROLLER INCLUDING DYNAMICALLY PROGRAMMABLE FUNCTIONAL UNITMay 2017June 2021Allow4940YesNo
15489899COALESCING STORE INSTRUCTIONS FOR RESTORATIONApril 2017September 2019Allow2920YesNo
15489882REGISTER RESTORATION USING RECOVERY BUFFERSApril 2017January 2021Allow4550YesNo
15489909TRACKING CHANGES TO MEMORY VIA CHECK AND RECOVERYApril 2017January 2020Allow3320YesNo
15489923SHARING SNAPSHOTS ACROSS SAVE REQUESTSApril 2017November 2020Allow4340YesNo
15396402PROCESSORS, METHODS, AND SYSTEMS WITH A CONFIGURABLE SPATIAL ACCELERATORDecember 2016September 2019Allow3220YesNo
15396293APPARATUS AND METHOD FOR GENERATING PERFORMANCE MONITORING METRICSDecember 2016September 2020Allow4430YesNo
15393291SINGLE-THREAD SPECULATIVE MULTI-THREADINGDecember 2016May 2019Abandon2910NoNo
15391915GENERATING VECTOR BASED SELECTION CONTROL STATEMENTSDecember 2016May 2020Allow4130YesNo
15391895EXECUTION OF SOFTWARE WITH MONITORING OF RETURN ORIENTED PROGRAMMING EXPLOITSDecember 2016December 2019Abandon3520NoNo
15384345STREAMING ENGINE WITH EARLY AND LATE ADDRESS AND LOOP COUNT REGISTERS TO TRACK ARCHITECTURAL STATEDecember 2016March 2020Allow3820NoYes
15337140PROCESSOR WITH AN EXPANDABLE INSTRUCTION SET ARCHITECTURE FOR DYNAMICALLY CONFIGURING EXECUTION RESOURCESOctober 2016December 2019Allow3720YesNo
15338123IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHODOctober 2016September 2019Abandon3420NoNo
15335741SHORTCUT PATH FOR A BRANCH TARGET BUFFEROctober 2016June 2020Allow4430YesNo
15334398Associative Computer Providing Semi-Parallel ArchitectureOctober 2016August 2019Allow3320YesNo
15334628BRANCH PREDICTION IN A DATA PROCESSING APPARATUSOctober 2016June 2022Allow6040YesYes
15201075APPARATUS AND METHOD FOR REENTERING A TRANSACTIONAL SEQUENCE WITH HARDWARE TRANSACTIONAL MEMORYJuly 2016December 2020Abandon5440YesYes
15200676PROCESSORS, METHODS, AND SYSTEMS TO IDENTIFY STORES THAT CAUSE REMOTE TRANSACTIONAL EXECUTION ABORTSJuly 2016September 2019Abandon3820NoNo
15200153ADMINISTERING INSTRUCTION TAGS IN A COMPUTER PROCESSORJuly 2016July 2021Abandon6060YesNo
15200326METHOD AND LOGIC FOR MAINTAINING PERFORMANCE COUNTERS WITH DYNAMIC FREQUENCIESJuly 2016May 2020Allow4740YesNo
15198568System and Method for Tracing Data AddressesJune 2016May 2019Abandon3520YesNo
15199399SPLIT CONTROL STACK AND DATA STACK PLATFORMJune 2016April 2019Abandon3320NoNo
15198856System and Method for Out-of-Order Clustered DecodingJune 2016February 2022Abandon6060YesNo
15198699OPERATION OF A MULTI-SLICE PROCESSOR IMPLEMENTING PRIORITIZED DEPENDENCY CHAIN RESOLUTIONJune 2016June 2020Abandon4840YesNo
15196976READ AND WRITE SETS FOR RANGES OF INSTRUCTIONS OF TRANSACTIONSJune 2016March 2020Allow4540YesNo
15191783VARIABLE BRANCH TARGET BUFFER (BTB) LINE SIZE FOR COMPRESSIONJune 2016July 2019Allow3620YesNo
15192742GLOBAL CAPABILITIES TRANSFERRABLE ACROSS NODE BOUNDARIESJune 2016February 2019Allow3220YesNo
15192794BRANCH TARGET PREDICTORJune 2016March 2021Abandon5760YesNo
15191339SYSTEM AND METHOD FOR USING VIRTUAL VECTOR REGISTER FILESJune 2016August 2022Abandon6080NoNo
15191266Iteration Synchronization Construct for Parallel PipelinesJune 2016June 2019Abandon3620YesNo
15190436EXTENSION OF REGISTER FILES FOR LOCAL PROCESSING OF DATA IN COMPUTING ENVIRONMENTSJune 2016August 2021Abandon6060YesNo
15186744OPERATION OF A MULTI-SLICE PROCESSOR IMPLEMENTING DEPENDENCY ACCUMULATION INSTRUCTION SEQUENCINGJune 2016January 2019Allow3120YesNo
15147642LOW-POWER PROCESSOR WITH SUPPORT FOR MULTIPLE PRECISION MODESMay 2016December 2019Abandon4330NoNo
15145180READ AND WRITE SETS FOR RANGES OF INSTRUCTIONS OF TRANSACTIONSMay 2016March 2020Allow4740YesNo
15143753HARDWARE SUPPORT FOR DYNAMIC DATA TYPES AND OPERATORSMay 2016February 2021Abandon5760YesNo
15144333MERGING STATUS AND CONTROL DATA IN A RESERVATION STATIONMay 2016March 2020Allow4630YesNo
15141817Central Processing Unit With DSP Engine And Enhanced Context Switch CapabilitiesApril 2016June 2020Allow4940NoYes
15086647ADAPTIVE THREAD PROCESSING OF IO REQUESTSMarch 2016July 2020Allow5240YesNo
15049700BRANCH PREDICTION IN A COMPUTER PROCESSORFebruary 2016December 2018Allow3420YesNo
15048680PATH SELECTION BASED ACCELERATION OF CONDITIONALS IN COARSE GRAIN RECONFIGURABLE ARRAYS (CGRAS)February 2016March 2019Abandon3720YesNo
15047617HIGH PERFORMANCE ZERO BUBBLE CONDITIONAL BRANCH PREDICTION USING MICRO BRANCH TARGET BUFFERFebruary 2016April 2019Allow3820YesYes
15046438Using Very Long Instruction Word VLIW Cores In Many-Core ArchitecturesFebruary 2016March 2019Abandon3711NoNo
15004761PREDICATED READ INSTRUCTIONSJanuary 2016March 2020Abandon5030NoNo
15003828ENCODING INSTRUCTIONS IDENTIFYING FIRST AND SECOND ARCHITECTURAL REGISTER NUMBERSJanuary 2016February 2019Allow3720YesYes

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner ALLI, KASIM A.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
2
Examiner Affirmed
1
(50.0%)
Examiner Reversed
1
(50.0%)
Reversal Percentile
72.2%
Higher than average

What This Means

With a 50.0% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings
7
Allowed After Appeal Filing
5
(71.4%)
Not Allowed After Appeal Filing
2
(28.6%)
Filing Benefit Percentile
93.5%
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, 71.4% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.

Strategic Recommendations

Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.

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

Examiner ALLI, KASIM A - Prosecution Strategy Guide

Executive Summary

Examiner ALLI, KASIM A works in Art Unit 2183 and has examined 114 patent applications in our dataset. With an allowance rate of 61.4%, this examiner allows applications at a lower rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 39 months.

Allowance Patterns

Examiner ALLI, KASIM A's allowance rate of 61.4% places them in the 21% percentile among all USPTO examiners. This examiner is less likely to allow applications than most examiners at the USPTO.

Office Action Patterns

On average, applications examined by ALLI, KASIM A receive 3.10 office actions before reaching final disposition. This places the examiner in the 89% 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 ALLI, KASIM A is 39 months. This places the examiner in the 26% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.

Interview Effectiveness

Conducting an examiner interview provides a +51.7% benefit to allowance rate for applications examined by ALLI, KASIM A. This interview benefit is in the 94% 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, 22.5% of applications are subsequently allowed. This success rate is in the 29% 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 10.4% of cases where such amendments are filed. This entry rate is in the 10% 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, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 7% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 75.0% of appeals filed. This is in the 64% percentile among all examiners. Strategic Insight: This examiner shows above-average willingness to reconsider rejections during appeals. The mandatory appeal conference (MPEP § 1207.01) provides an opportunity for reconsideration.

Petition Practice

When applicants file petitions regarding this examiner's actions, 0.0% are granted (fully or in part). This grant rate is in the 2% 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 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 0.0% of allowed cases (in the 15% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.

Prosecution Strategy Recommendations

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

  • Prepare for rigorous examination: With a below-average allowance rate, ensure your application has strong written description and enablement support. Consider filing a continuation if you need to add new matter.
  • 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.

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.