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d-MatrixPatent grant

d-MATRIX was granted a patent for an AI workload dispatch engine.

What happened

In October 2026 d-MATRIX patented hardware for scheduling transformer workloads across chiplets in AI accelerator systems.

Source

Abstract

An AI accelerator comprises a plurality of chiplets and a dispatch engine integrated circuit, is configurable to efficiently process AI computational workloads (e.g., transformer operations). The dispatch engine includes a task fetch engine and a plurality of task pipelines coupled thereto. Each task pipeline comprises a task queue, tasks coupled to the task queue, and a task dispatch engine coupled to the tasks and configured to dispatch one or more of the tasks. Three task types are used: instruction tasks, wait tasks, and completion tasks. An instruction dispatch engine coupled to the task dispatch engine is configured to receive and dispatch an instruction task to one or more compute units. A memory device coupled to the instruction dispatch engine stores one or more instructions. An instruction fetch engine is coupled to the memory device and configured to transfer one or more instructions from an external memory to the memory device.

patents.google.com/patent/US12761962Read 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
Oct 13, 2026
Inventors
Timothy Heil
Tech area
software / computing
Patent number
US12761962

The full record

From the Signal API record

People

  • Timothy HeilInventor

Details

Primary CPC class
G06F 9/5027 (Electric digital data processing)
USPTO assignee
d-MATRIX CORPORATION
What the invention does
A chip-based dispatcher that fetches different kinds of AI tasks and routes them through separate queues so accelerator components can work efficiently.

Topics and mentions

Tags

  • Intellectual Property
  • Research & Development
  • Artificial Intelligence
  • Machine Learning
  • Engineering

Technologies named

  • AI accelerators
  • chiplets
  • transformer workloads
  • task scheduling

Extraction

Detected
Oct 14, 2026
signal_type
patents-company
signal_subtype
patentGrant

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

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{
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  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-14T15:48:02+00:00",
  "company": {
    "name": "d-Matrix",
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  "data": {
    "cpc": [
      {
        "code": "G06F 9/5027",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 9/4843",
        "label": "Electric digital data processing"
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      {
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        "label": "Electric digital data processing"
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        "label": "Electric digital data processing"
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    "tags": [
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      "Machine Learning",
      "Engineering"
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    "detail": "In October 2026 d-MATRIX patented hardware for scheduling transformer workloads across chiplets in AI accelerator systems.",
    "summary": "d-MATRIX was granted a patent for an AI workload dispatch engine.",
    "event_at": "2026-10-13",
    "inventors": [
      {
        "name": "Timothy Heil",
        "status": "resolved",
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    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-10-13",
    "source_url": "https://patents.google.com/patent/US12761962",
    "cpc_primary": {
      "code": "G06F 9/5027",
      "label": "Electric digital data processing"
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    "patent_title": "Dispatch engine processing multiple task types for efficient dispatch of execution of transformer workloads on AI compute accelerator",
    "patent_number": "US12761962",
    "uspto_assignee": "d-MATRIX CORPORATION",
    "patent_abstract": "An AI accelerator comprises a plurality of chiplets and a dispatch engine integrated circuit, is configurable to efficiently process AI computational workloads (e.g., transformer operations). The dispatch engine includes a task fetch engine and a plurality of task pipelines coupled thereto. Each task pipeline comprises a task queue, tasks coupled to the task queue, and a task dispatch engine coupled to the tasks and configured to dispatch one or more of the tasks. Three task types are used: instruction tasks, wait tasks, and completion tasks. An instruction dispatch engine coupled to the task dispatch engine is configured to receive and dispatch an instruction task to one or more compute units. A memory device coupled to the instruction dispatch engine stores one or more instructions. An instruction fetch engine is coupled to the memory device and configured to transfer one or more instructions from an external memory to the memory device.",
    "precision_class": "structural",
    "invention_explanation": "A chip-based dispatcher that fetches different kinds of AI tasks and routes them through separate queues so accelerator components can work efficiently.",
    "technologies_mentioned": [
      "AI accelerators",
      "chiplets",
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