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TenstorrentPatent grant

Tenstorrent was granted a patent for predicting memory dependencies.

What happened

In September 2026 Tenstorrent patented a processor technique for coordinating loads and stores in out-of-order computing, used in high-performance processors and computing systems.

Source

patents.google.comSep 8, 2026

US patent US12730744

Window-based memory dependency predictor

Abstract

Methods and systems for out-of-order processing are disclosed herein. A disclosed method for out-of-order instruction processing includes identifying a first load instruction for processing, determining, based on the first load instruction, whether a store instruction window has been established for the first load instruction, confirming, when the store instruction window has been established, that one or more store instructions, within the store instruction window, that the first load instruction is dependent upon have been executed, and executing the first load instruction after execution of the one or more store instructions has been confirmed.

patents.google.com/patent/US12730744Read the full source

Extracted by Autobound

From the Signal API record
Signal
Patent grant

What this signalsA new patent often shows where a company is putting its R&D budget.

Grant date
Sep 8, 2026
Inventors
4
Tech area
software / computing
Patent number
US12730744

The full record

From the Signal API record

People

  • Reshma C JumaniInventor
  • Miles Robert DooleyInventor
  • Deepak PanwarInventor
  • Luke YenInventor
  • Apurv Ravindra NarkhedeInventor
  • Alexander C. RuckerInventor

Details

Primary CPC class
G06F 12/0223 (Electric digital data processing)
USPTO assignee
Tenstorrent USA, Inc.
What the invention does
A predictor tracks nearby store instructions so a processor can decide whether a load depends on earlier data before executing it.

Topics and mentions

Tags

  • Intellectual Property
  • Research & Development
  • Engineering
  • Software

Technologies named

  • processor architecture
  • out-of-order execution
  • memory dependency prediction
  • load/store processing

Extraction

Detected
Sep 15, 2026
signal_type
patents-company
signal_subtype
patentGrant

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Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/0fd40029-3c8a-5b69-acfe-e7451c8ecbb1 returns this record as JSON. POST /v1/companies/enrich returns every signal for tenstorrent.com.

{
  "signal_id": "0fd40029-3c8a-5b69-acfe-e7451c8ecbb1",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-15T03:16:33+00:00",
  "company": {
    "name": "Tenstorrent",
    "domain": "tenstorrent.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 12/0223",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 9/3834",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 9/3838",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Engineering",
      "Software"
    ],
    "detail": "In September 2026 Tenstorrent patented a processor technique for coordinating loads and stores in out-of-order computing, used in high-performance processors and computing systems.",
    "summary": "Tenstorrent was granted a patent for predicting memory dependencies.",
    "event_at": "2026-09-08",
    "inventors": [
      {
        "name": "Reshma C Jumani",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/reshma-jumani-6a28589"
      },
      {
        "name": "Miles Robert Dooley",
        "status": "resolved",
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        "linkedin_url": "https://www.linkedin.com/in/milesdooley"
      },
      {
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        "status": "unresolved",
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      {
        "name": "Luke Yen",
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        "linkedin_url": "https://www.linkedin.com/in/lukeyence"
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      {
        "name": "Apurv Ravindra Narkhede",
        "status": "resolved",
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      },
      {
        "name": "Alexander C. Rucker",
        "status": "unresolved",
        "is_primary": false
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    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-09-08",
    "source_url": "https://patents.google.com/patent/US12730744",
    "cpc_primary": {
      "code": "G06F 12/0223",
      "label": "Electric digital data processing"
    },
    "patent_title": "Window-based memory dependency predictor",
    "patent_number": "US12730744",
    "uspto_assignee": "Tenstorrent USA, Inc.",
    "patent_abstract": "Methods and systems for out-of-order processing are disclosed herein. A disclosed method for out-of-order instruction processing includes identifying a first load instruction for processing, determining, based on the first load instruction, whether a store instruction window has been established for the first load instruction, confirming, when the store instruction window has been established, that one or more store instructions, within the store instruction window, that the first load instruction is dependent upon have been executed, and executing the first load instruction after execution of the one or more store instructions has been confirmed.",
    "precision_class": "structural",
    "invention_explanation": "A predictor tracks nearby store instructions so a processor can decide whether a load depends on earlier data before executing it.",
    "technologies_mentioned": [
      "processor architecture",
      "out-of-order execution",
      "memory dependency prediction",
      "load/store processing"
    ]
  }
}

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