• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. H
  4. How…
  5. Howes Lee W.
🔗 Permalink
Inventor profile of:

Lee W. Howes

City:

Austin, Texas

Country:

United States

Published Applications:

7

Last publication date:

2016-02-04

Top Assignees for applications by Lee W. Howes

The entities that hold a legal rights for patent applications filed by inventor Howes Lee W.:

  • ADVANCED MICRO DEVICES, INC. 6 Sunnyvale, CA United States

Recent patent applications by Howes Lee W.

Lee W. Howes from Austin, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2016-02-04
US20160034304A1
Physics

DEPENDENCE TRACKING BY SKIPPING IN USER MODE QUEUES

#2 | 2014-12-11
US20140365752A1
Physics

Method and system for yield operation supporting thread-like behavior

#3 | 2014-11-20
US20140344830A1
Physics

Efficient processor load balancing using predication flags

#4 | 2014-06-05
US20140157287A1
Physics

Optimized Context Switching for Long-Running Processes

#5 | 2013-08-15
US20130212350A1
Physics

Allocating memory and using the allocated memory in a workgroup in a dispatched data parallel kernel

#6 | 2013-07-25
US20130191852A1
Physics

Multithreaded computing

#7 | 2013-04-04
US20130086566A1
Physics

Vector width-aware synchronization-elision for vector processors

InventorID:

358405 ⎘

  1. Home
  2. Inventor
  3. H
  4. How…
  5. Howes Lee W.

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.