• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. T
  4. Tel…
  5. TELL NIR
🔗 Permalink
Inventor profile of:

NIR TELL

City:

Atlit

Country:

Israel

Published Applications:

7

Last publication date:

2023-10-05

Top Assignees for applications by NIR TELL

The entities that hold a legal rights for patent applications filed by inventor TELL NIR:

  • INTEL CORPORATION 4 Santa Clara, CA United States

Recent patent applications by TELL NIR

NIR TELL from Atlit, IL has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2023-10-05
US20230315453A1
Physics

FORWARD CONDITIONAL BRANCH EVENT FOR PROFILE-GUIDED-OPTIMIZATION (PGO)

#2 | 2021-11-04
US20210342134A1
Physics

CODE PREFETCH INSTRUCTION

#3 | 2021-04-01
US20210096867A1
Physics

Instruction length decoder system and method

#4 | 2020-04-09
US20200110460A1
Physics

Instruction and logic for parallel multi-step power management flow

#5 | 2018-06-14
US20180164873A1
Physics

Instruction and logic for parallel multi-step power management flow

#6 | 2018-06-14
US20180164870A1
Physics

INSTRUCTION AND LOGIC FOR PARALLEL MULTI-STEP POWER MANAGEMENT FLOW

#7 | 2016-08-04
US20160224090A1
Physics

PERFORMING CONTEXT SAVE AND RESTORE OPERATIONS IN A PROCESSOR

InventorID:

1612160 ⎘

  1. Home
  2. Inventor
  3. T
  4. Tel…
  5. TELL NIR

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.