Bruce L. Troutman - Meridian ID Russell B. Lloyd - Middleton ID Randal Q. Thornley - Nampa ID
Assignee:
ZiLog, Inc. - San Jose CA
International Classification:
G06F 1200
US Classification:
711212, 711219, 36523003
Abstract:
The present invention provides a memory architecture allowing for instructions of variable length to be stored without wasted memory spaces. Instructions of one, two, and three bytes can all be retrieved in a single fetch. The exemplary embodiment divides the memory block into two Ã16 memories having some special addressing circuitry. This structure logically arranges the memory into a number of rows, each of four byte-wide columns. To the first of these Ã16 memories, the full address is provided. If the address is within the two columns of the second Ã16 memory, the full address is also provided to the second Ã16 memory. If the address is to the first of the Ã16 memories, the second Ã16 memory instead receives the portion of the address specifying the row with one added to it. This results in a dual row access with the last one or two bytes of 3-byte instruction being supplied by the row above the first byte. The net effect is that all the physical memory physical space is used for program code with none being wasted in the 24-bit access.
Architecture To Relax Memory Performance Requirements
Bruce L. Troutman - Meridian ID, US Russell B. Lloyd - Middleton ID, US Randal Q. Thornley - Nampa ID, US
Assignee:
ZiLOG, Inc. - San Jose CA
International Classification:
G06F012/00
US Classification:
711212, 711219, 711102, 712205, 712210
Abstract:
The present invention provides a memory architecture allowing for instructions of variable length to be stored without wasted memory spaces. Instructions of one, two, and three bytes can all be retrieved in a single fetch. The exemplary embodiment divides the memory block into two ×16 memories having some special addressing circuitry. This structure logically arranges the memory into a number of rows, each of four byte-wide columns. To the first of these ×16 memories, the full address is provided. If the address is within the two columns of the second ×16 memory, the full address is also provided to the second ×16 memory. If the address is to the first of the ×16 memories, the second ×16 memory instead receives the portion of the address specifying the row with one added to it. This results in a dual row access with the last one or two bytes of 3-byte instruction being supplied by the row above the first byte. The net effect is that all the physical memory physical space is used for program code with none being wasted in the 24-bit access.
Overwriting Memory Cells Using Low Instantaneous Current
A memory device includes memory cells that are overwritten in response to receipt of a clear request signal and an overwrite value. The clear request signal enables all word lines of the memory device to be overwritten. The clear request signal in combination with the overwrite value cause the overwrite value to be written to a first column of memory cells. At least two delay elements transfer the overwrite value to another column of memory cells after a delay. By use of at least two delay elements to delay and transfer the overwrite value to be written to another column of memory cells, a relatively low magnitude of current can be used to cause memory cells to be overwritten. In addition, the value and sequence of values that overwrite memory cells can be controlled.
This invention discloses a system to attach various photographic accessories to a camera by using an apparatus that attaches to the existing shoulder strap loop of a camera. The apparatus has a body, a strong hook to attach to the shoulder strap loop, and a thumbscrew that tightens the apparatus to the camera. The apparatus also incorporates an additional shoulder strap loop to replace the one covered when this system is used. Various mounting plates then attach to the body of the apparatus to which the various accessories are mounted.
Artificial Intelligence (Ai) System For Learning Spatial Patterns In Sparse Distributed Representations (Sdrs) And Associated Methods
- Boise ID, US David Roberts - Meridian ID, US Russell B. Lloyd - Boise ID, US William Tiffany - Eagle ID, US Jeffery Tanner - Meridian ID, US Terrence Leslie - Reva VA, US Daniel Skinner - Meridian ID, US Indranil Roy - Boise ID, US
International Classification:
G06N 3/063 G06K 9/62 G06F 9/38
Abstract:
Introduced here is an artificial intelligence system designed for machine learning. The system may be based on a neuromorphic computational model that learns spatial patterns in inputs using data structures called Sparse Distributed Representations (SDRs) to represent the inputs. Moreover, the system can generate signatures for these SDRs, and these signatures may be used to create definitions of classes or subclasses for classification purposes.
Framestore - London, United Kingdom Jan 2012 - Feb 2013
Creature FX Lead & TD
Framestore - London, United Kingdom Aug 2012 - Sep 2012
Massive TD
Cinesite - London Mar 2011 - Nov 2011
FX TD
Hydraulx Feb 2010 - Feb 2011
Cloth/Massive TD
Rhythm & Hues Jun 2007 - Oct 2009
Technical Animator
Education:
Brigham Young University 2002 - 2007
Bachelor of Fine Arts, Animation
He is joined on the ballot by Judge Ken Wise; former judges Elizabeth Ray (who lost in 2008 by only 400 votes) and Russell Lloyd;and a host of outstandingly qualified candidates including former Tax Court Judge and double board certified,thirty-five year lawyer Michael Landrum; Bruce Bain, Jeff H
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