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Ramsey H Haddad

age ~37

from Oakland, CA

Also known as:
  • Ramsey Hani Haddad

Ramsey Haddad Phones & Addresses

  • Oakland, CA
  • Los Angeles, CA
  • Washington, DC
  • San Francisco, CA
  • Hayward, CA
  • New York, NY

Us Patents

  • Mechanism For Handling 16-Bit Addressing In A Processor

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  • US Patent:
    6363471, Mar 26, 2002
  • Filed:
    Jan 3, 2000
  • Appl. No.:
    09/476323
  • Inventors:
    Stephan G. Meier - Sunnyvale CA
    Bruce A. Gieseke - San Jose CA
    William A. McGee - San Jose CA
    Ramsey W. Haddad - Cupertino CA
  • Assignee:
    Advanced Micro Devices, Inc. - Sunnyvale CA
  • International Classification:
    G06F 1200
  • US Classification:
    711220, 708491
  • Abstract:
    A processor includes an address generation unit (AGU) which adds address operands and the segment base. The AGU may add the segment base and the displacement while other address operands are being read from the register file. The sum of the segment base and the displacement may subsequently be added to the remaining address operands. The AGU receives the addressing mode of the instruction, and if the addressing mode is 16 bit, the AGU zeros the carry from the sixteenth bit to the seventeenth bit of the sums generated therein. Additionally, in parallel, the AGU determines if a carry from the sixteenth bit to the seventeenth bit would occur if the logical address were added to the segment base. In one embodiment, the sum of the address operands and the segment base, with carries from the sixteenth bit to the seventeenth bit zeroed, and the carry generated in parallel are provided to a translation lookaside buffer (TLB), which stores translations in the same format (sum and carry). In another embodiment, the AGU corrects the most significant bits of the generated sum based on the carry.
  • Store Queue Number Assignment And Tracking

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  • US Patent:
    6481251, Nov 19, 2002
  • Filed:
    Oct 25, 1999
  • Appl. No.:
    09/433184
  • Inventors:
    Stephan G. Meier - Sunnyvale CA
    Ramsey W. Haddad - Cupertino CA
  • Assignee:
    Advanced Micro Devices, Inc. - Sunnyvale CA
  • International Classification:
    G06F 300
  • US Classification:
    70 52, 710 39, 710112, 711100, 711141
  • Abstract:
    A processor includes a store queue and a store queue number assignment circuit. The store queue number assignment circuit assigns store queue numbers to stores, and operates upon instruction operations prior to the instruction operations reaching a point in the pipeline of the processor at which out of order instruction processing begins. Thus, store queue entries may be reserved for stores according to the program order of the stores. Additionally, in one embodiment, the store queue number identifying the youngest store represented in the store queue may be assigned to loads. In this manner, loads may determine which stores in the store queue are older or younger than the load based on relative position within the store queue. Checking for store queue hits may be qualified with the entries between the head of the store queue and the entry indicated by the loads store queue number. In one particular embodiment, the store queue number may include an additional âtoggleâ bit which is toggled each time the assignment of store queue numbers reaches the maximum store queue entry and wraps to zero.
  • Scheduler Capable Of Issuing And Reissuing Dependency Chains

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  • US Patent:
    6542984, Apr 1, 2003
  • Filed:
    Jan 3, 2000
  • Appl. No.:
    09/476578
  • Inventors:
    James B. Keller - Palo Alto CA
    Ramsey W. Haddad - Cupertino CA
    Stephan G. Meier - Sunnyvale CA
  • Assignee:
    Advanced Micro Devices, Inc. - Sunnyvale CA
  • International Classification:
    G06F 1576
  • US Classification:
    712214
  • Abstract:
    A scheduler issues instruction operations for execution, but also retains the instruction operations. If a particular instruction operation is subsequently found to be incorrectly executed, the particular instruction operation may be reissued from the scheduler. The penalty for incorrect scheduling of instruction operations may be reduced as compared to purging the particular instruction operation and younger instruction operations from the pipeline and refetching the particular instruction operation. Furthermore, the scheduler may employ a more aggressive scheduling mechanism since the penalty for incorrect execution is reduced. Additionally, the scheduler maintains the dependency indications for each instruction operation which has been issued. If the particular instruction operation is reissued, the instruction operations which are dependent on the particular instruction operation (directly or indirectly) may be identified via the dependency indications. The scheduler reissues the dependent instruction operations as well.
  • Scheduler Which Discovers Non-Speculative Nature Of An Instruction After Issuing And Reissues The Instruction

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  • US Patent:
    6564315, May 13, 2003
  • Filed:
    Jan 3, 2000
  • Appl. No.:
    09/476322
  • Inventors:
    James B. Keller - Palo Alto CA
    Ramsey W. Haddad - Cupertino CA
    Stephan G. Meier - Sunnyvale CA
  • Assignee:
    Advanced Micro Devices, Inc. - Sunnyvale CA
  • International Classification:
    G06F 9312
  • US Classification:
    712214, 712235
  • Abstract:
    A scheduler issues instruction operations for execution, but also retains the instruction operations. If a particular instruction operation is subsequently found to be required to execute non-speculatively, the particular instruction operation is still stored in the scheduler. Subsequent to determining that the particular operation has become non-speculative (through the issuance and execution of instruction operations prior to the particular instruction operation), the particular instruction operation may be reissued from the scheduler. The penalty for incorrect scheduling of instruction operations which are to execute non-speculatively may be reduced as compared to purging the particular instruction operation and younger instruction operations from the pipeline and refetching the particular instruction operation. Additionally, the scheduler may maintain the dependency indications for each instruction operation which has been issued. If the particular instruction operation is reissued, the instruction operations which are dependent on the particular instruction operation (directly or indirectly) may be identified via the dependency indications.
  • Scheduler Which Retries Load/Store Hit Situations

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  • US Patent:
    6622235, Sep 16, 2003
  • Filed:
    Jan 3, 2000
  • Appl. No.:
    09/476204
  • Inventors:
    James B. Keller - Palo Alto CA
    Ramsey W. Haddad - Cupertino CA
    Stephan G. Meier - Sunnyvale CA
  • Assignee:
    Advanced Micro Devices, Inc. - Sunnyvale CA
  • International Classification:
    G06F 938
  • US Classification:
    712 23, 712214, 712216
  • Abstract:
    A scheduler issues memory operations without regard to whether or not resources are available to handle each possible execution outcome of that memory operation. The scheduler also retains the memory operation after issuance. If a condition occurs which prevents correct execution of the memory operation, the memory operation is retried. The scheduler subsequently reschedules and reissues the memory operation in response to the retry. Additionally, the scheduler may receive a retry type indicating the reason for retry. Certain retry types may indicate a delayed reissuance of the memory operation until the occurrence of a subsequent event. In response to such retry types, the scheduler monitors for the subsequent event and delays reissuance until the event is detected. The scheduler may include a physical address buffer to detect a load memory operation which incorrectly issued prior to an older store memory operation upon which it is dependent for the memory operation. The scheduler may also include a store tag buffer to detect that a load memory operation is to be reissued due to the reissuance of a store memory operation on which the load was determined to be dependent during the previous execution of the load memory operation.
  • Store To Load Forward Predictor Training Using Delta Tag

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  • US Patent:
    6622237, Sep 16, 2003
  • Filed:
    Jan 3, 2000
  • Appl. No.:
    09/476192
  • Inventors:
    James B. Keller - Palo Alto CA
    Thomas S. Green - Sunnyvale CA
    Wei-Han Lien - Sunnyvale CA
    Ramsey W. Haddad - Cupertino CA
    Keith R. Schakel - San Jose CA
  • Assignee:
    Advanced Micro Devices, Inc. - Sunnyvale CA
  • International Classification:
    G06F 900
  • US Classification:
    712216, 712214, 712 23
  • Abstract:
    A processor employs a store to load forward (STLF) predictor which may indicate, for dispatching loads, a dependency on a store. The dependency is indicated for a store which, during a previous execution, interfered with the execution of the load. Since a dependency is indicated on the store, the load is prevented from scheduling and/or executing prior to the store. The STLF predictor is trained with information for a particular load and store in response to executing the load and store and detecting the interference. Additionally, the STLF predictor may be untrained (e. g. information for a particular load and store may be deleted) if a load is indicated by the STLF predictor as dependent upon a particular store and the dependency does not actually occur. In one implementation, the STLF predictor records at least a portion of the PC of a store which interferes with the load in a first table indexed by the load PC. A second table maintains a corresponding portion of the store PCs of recently dispatched stores, along with tags identifying the recently dispatched stores.
  • Store Load Forward Predictor Untraining

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  • US Patent:
    6651161, Nov 18, 2003
  • Filed:
    Jan 3, 2000
  • Appl. No.:
    09/476937
  • Inventors:
    James B. Keller - Palo Alto CA
    Thomas S. Green - Sunnyvale CA
    Wei-Han Lien - Sunnyvale CA
    Ramsey W. Haddad - Cupertino CA
  • Assignee:
    Advanced Micro Devices, Inc. - Sunnyvale CA
  • International Classification:
    G06F 900
  • US Classification:
    712216, 712 23, 712225
  • Abstract:
    A processor employs a store to load forward (STLF) predictor which may indicate, for dispatching loads, a dependency on a store. The dependency is indicated for a store which, during a previous execution, interfered with the execution of the load. Since a dependency is indicated on the store, the load is prevented from scheduling and/or executing prior to the store. The STLF predictor is trained with information for a particular load and store in response to executing the load and store and detecting the interference. Additionally, the STLF predictor may be untrained (e. g. information for a particular load and store may be deleted) if a load is indicated by the STLF predictor as dependent upon a particular store and the dependency does not actually occur. In one implementation, the STLF predictor records at least a portion of the PC of a store which interferes with the load in a first table indexed by the load PC. A second table maintains a corresponding portion of the store PCs of recently dispatched stores, along with tags identifying the recently dispatched stores.
  • Store Load Forward Predictor Training

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  • US Patent:
    6694424, Feb 17, 2004
  • Filed:
    Jan 3, 2000
  • Appl. No.:
    09/476579
  • Inventors:
    James B. Keller - Palo Alto CA
    Thomas S. Green - Sunnyvale CA
    Wei-Han Lien - Sunnyvale CA
    Ramsey W. Haddad - Cupertino CA
  • Assignee:
    Advanced Micro Devices, Inc. - Sunnyvale CA
  • International Classification:
    G06F 900
  • US Classification:
    712216, 712 23, 712225
  • Abstract:
    A processor employs a store to load forward (STLF) predictor which may indicate, for dispatching loads, a dependency on a store. The dependency is indicated for a store which, during a previous execution, interfered with the execution of the load. Since a dependency is indicated on the store, the load is prevented from scheduling and/or executing prior to the store. The STLF predictor is trained with information for a particular load and store in response to executing the load and store and detecting the interference. Additionally, the STLF predictor may be untrained (e. g. information for a particular load and store may be deleted) if a load is indicated by the STLF predictor as dependent upon a particular store and the dependency does not actually occur. In one implementation, the STLF predictor records at least a portion of the PC of a store which interferes with the load in a first table indexed by the load PC. A second table maintains a corresponding portion of the store PCs of recently dispatched stores, along with tags identifying the recently dispatched stores.

Resumes

Ramsey Haddad Photo 1

Senior Environmental Engineer

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Location:
Corona, CA
Industry:
Environmental Services
Work:
California Steel Industries
Senior Environmental Engineer

California Steel Industries Jun 2015 - Jan 2017
Environmental Engineer

California Steel Industries Jun 2014 - Jun 2015
Associate Environmental Engineer

California Steel Industries Feb 2012 - Jun 2014
Environmental Intern

University of California, Riverside May 2011 - Feb 2012
Industrial Hygiene Assistant
Education:
University of California, Riverside 2010 - 2014
Bachelors, Bachelor of Science, Environmental Engineering
Skills:
Microsoft Excel
Microsoft Office
Powerpoint
Public Speaking
Environmental Awareness
Microsoft Word
Research
Hazardous Waste Management
Customer Service
Access
Leadership
Teamwork
Time Management
English
Air Quality
Data Analysis
Social Media
C++
Industrial Hygiene
Certifications:
Engineer In Training
Water Treatment Operators Grade T1
Water Distribution Operator Grade D2
Professional Engineer (Pe)
License 150732
License 35301
License 43375
Board For Professional Engineers, Land Surveyors, and Geologists, License 150732
California Department of Public Health, License 35301
California Department of Public Health, License 43375
Ramsey Haddad Photo 2

Head Of Cloud Customer Onboarding

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Location:
San Francisco, CA
Industry:
Information Technology And Services
Work:
Microsoft Jan 2016 - Sep 2016
Cloud Solutions Architect, Azure

Amazon Sep 2013 - Jan 2016
Professional Services Consultant

Federal Reserve Bank of San Francisco Feb 2013 - Sep 2013
Senior Analyst

Hewlett-Packard Mar 2011 - Feb 2013
Technology Consultant

Bank of America Nov 2007 - Mar 2010
Consumer Banking
Education:
The George Washington University 2010 - 2012
Master of Science, Masters, Engineering
San Francisco State University 2006 - 2010
Bachelors, Bachelor of Science
Skills:
Cloud Computing
Enterprise Architecture
Enterprise Software
Itil
Solution Architecture
Integration
Program Management
Business Analysis
Project Portfolio Management
Requirements Analysis
Professional Services
Consulting
It Strategy
Information Technology
Regression Testing
Service Management
Business Process Improvement
User Acceptance Testing
Project Management
Identity Management
Software Project Management
Functional Testing
Security
Pre Sales
Management
Virtualization
C#
Systems Engineering
Pmp
Vendor Management
Linux
Strategy
It Service Management
Business Process Design
System Architecture
Governance
Product Management
Information Security Management
Testing
It Operations
Business Intelligence
Business Process
Oracle
Visio
Active Directory
Sharepoint
Pmo
It Management
Unix
Interests:
Education
Languages:
English
Arabic
Spanish
Certifications:
Project Management Professional (Pmp)
Itil V3 Foundations
Certified Scrummaster
Ramsey Haddad Photo 3

Ramsey Haddad

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Location:
Zürich Area, Switzerland
Industry:
Internet

Googleplus

Ramsey Haddad Photo 4

Ramsey Haddad

Lived:
Rüschlikon, Switzerland
Mercer Island, WA
Palo Alto, CA
Baltimore, MD
Exeter, NH
Montreal, Canada
Hartford, CT
Whitewater, WI
Princeton, NJ
Cambridge, MA
Aleppo, Syria
Irbid, Jordan
Work:
Google - Software Engineer
Advanced Micro Devices
Synopsys
Digital Equipment Corporation
Education:
Stanford University, Johns Hopkins University, Phillips Exeter Academy
Ramsey Haddad Photo 5

Ramsey Haddad

Lived:
San Francisco
Washington DC
Work:
Hewlett-Packard - Technology Consultant
Education:
George Washington University - Systems engineering
Ramsey Haddad Photo 6

Ramsey Haddad

Work:
Star Market - BOSS
Education:
Scraft - Business Man

Facebook

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Ramsey Haddad

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Ramsey Haddad

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Ramsey Haddad Photo 9

Ramsey Haddad

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Ramsey Haddad

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Ramsey Haddad

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Ramsey Haddad

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Ramsey Haddad Photo 13

Ramsey Haddad

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Ramsey Haddad Photo 14

Ramsey Haddad

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Plaxo

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Ramsey Haddad

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Dr at Free Radicals Technology

Myspace

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Ramsey Haddad

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Locality:
Livonia, Michigan
Gender:
Male
Birthday:
1949
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Ramsey Haddad

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Locality:
Hell, North Carolina
Gender:
Male
Birthday:
1912
Ramsey Haddad Photo 18

Ramsey Haddad

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Locality:
Amman, Jordan
Gender:
Male
Birthday:
1937

Youtube

Brandon Lakey and Ramsey Haddad making a remi...

Just me and a freind breakin an makin in the "shed"

  • Duration:
    3m 31s

Brandon Lakey and Ramsey Haddad just jaming

BL and Pennys in the shed just messing around.

  • Duration:
    1m 35s

A Day in the Life

Tigre on a lazy Saturday finds three playmates.

  • Duration:
    2m 45s

The fox is no longer my friend.

  • Duration:
    13s

Shrews are more fun to play with when you don...

  • Duration:
    41s

Project Creation Using Terraform and Cost Con...

... Subscribe to the GCP Channel Speaker(s): Ramsey Haddad, Jim...

  • Duration:
    33m 17s

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