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Rajat Prakash Garg, Age 5720590 Canyon View Dr, Saratoga, CA 95070

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Known as:
Rajat P Garg Ragat Garg
Related to:
Dharam Garg

Rajat Garg Phones & Addresses

20590 Canyon View Dr, Saratoga, CA 95070 (408) 647-2340

Tracy, CA

3566 Sunnylake Ct, San Jose, CA 95117 (408) 246-4902 (408) 557-9268

655 Fair Oaks Ave, Sunnyvale, CA 94086

Greenbelt, MD

Palo Alto, CA

Mountain View, CA

Santa Clara, CA

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Work

Company: Loudoun Cardiovascular Specialists - Lansdowne Office Address: 19455 Deerfield Ave Suite 306, Lansdowne, VA 20176 Phones: (703) 723-5520 (Phone)

Education

School / High School: Virginia Commonwealth University School Of Medicine 1996

Languages

English

Awards

Healthgrades Honor Roll

Ranks

Certificate: Cardiovascular Disease, 2004

Images

Mentions for Rajat Prakash Garg

Career records & work history

Medicine Doctors

Rajat Garg Photo 1

Dr. Rajat Garg, Lansdowne VA - MD (Doctor of Medicine)

Specialties:
Cardiology
Interventional Cardiology
Address:
Loudoun Cardiovascular Specialists - Lansdowne Office
19455 Deerfield Ave Suite 306, Lansdowne, VA 20176
(703) 723-5520 (Phone)
Virginia Heart - Lansdowne Office
19455 Deerfield Ave, Leesburg, VA 20176
(703) 621-4501 (Phone)
Virginia Heart - Purcellville Office
205 Hirst Rd, Purcellville, VA 20132
(703) 723-8664 (Phone)
Procedures:
Cardiac (Heart) Catheterization
Cardiac Nuclear Stress Testing
Echocardiogram
Certifications:
Cardiovascular Disease, 2004
Internal Medicine, 1999
Interventional Cardiology, 2005
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
Loudoun Cardiovascular Specialists - Lansdowne Office
19455 Deerfield Ave Suite 306, Lansdowne, VA 20176
Virginia Heart - Lansdowne Office
19455 Deerfield Ave, Leesburg, VA 20176
Virginia Heart - Purcellville Office
205 Hirst Rd, Purcellville, VA 20132
Inova Fairfax Hospital
3300 Gallows Road, Falls Church, VA 22042
Inova Loudoun Hospital
44045 Riverside Parkway, Leesburg, VA 20176
Education:
Medical School
Virginia Commonwealth University School Of Medicine
Graduated: 1996
Medical School
Medical College Of Virginia
Graduated: 1996
Medical School
Medical College Of Virginia Hospital
Graduated: 1999
Medical School
Medical College Of Virginia Hospital
Graduated: 2005

Rajat Garg

Specialties:
Cardiovascular Disease, Interventional Cardiology
Work:
Cardiovascular GroupVirginia Heart
205 Hirst Rd STE 304, Purcellville, VA 20132
(703) 723-8664 (phone) (703) 858-9573 (fax)
Site
Cardiovascular GroupVirginia Heart
44035 Riverside Pkwy STE 400, Leesburg, VA 20176
(703) 723-5520 (phone) (703) 858-9576 (fax)
Site
Education:
Medical School
Virginia Commonwealth University SOM
Graduated: 1996
Procedures:
Angioplasty, Cardiac Catheterization, Cardiac Stress Test, Cardioversion, Continuous EKG, Echocardiogram, Electrocardiogram (EKG or ECG), Pacemaker and Defibrillator Procedures
Conditions:
Acute Myocardial Infarction (AMI), Congenital Anomalies of the Heart, Paroxysmal Supreventricular Tachycardia (PSVT), Pericardidtis, Valvular Heart Disease, Angina Pectoris, Aortic Regurgitation, Aortic Valvular Disease, Atrial Fibrillation and Atrial Flutter, Cardiac Arrhythmia, Cardiomyopathy, Carditis, Conduction Disorders, Heart Failure, Ischemic Heart Disease, Mitral Stenosis, Mitral Valvular Disease
Languages:
English
Description:
Dr. Garg graduated from the Virginia Commonwealth University SOM in 1996. He works in Purcellville, VA and 1 other location and specializes in Cardiovascular Disease and Interventional Cardiology. Dr. Garg is affiliated with Inova Fair Oaks Hospital, Inova Fairfax Medical Campus, Inova Loudoun Hospital and Reston Hospital Center.
Rajat Garg Photo 2

Rajat Garg Garg, Leesburg VA

Specialties:
Cardiovascular Disease
Cardiology
Work:
Virginia Heart
19455 Deerfield Ave, Leesburg, VA 20176Virginia Heart
130 Park St SE, Vienna, VA 22180Inova Health Care Serivces
3600 Joseph Siewick Dr, Fairfax, VA 22033Inova Health Care Serivces
3300 Gallows Rd, Falls Church, VA 22042
Education:
Virginia Commonwealth University (1996)
Rajat Garg Photo 3

Rajat Garg, Vienna VA

Specialties:
Cardiologist
Address:
130 Park St Se, Vienna, VA 22180
19455 Deerfield Ave, Lansdowne, VA 20176
Education:
Doctor of Medicine
Board certifications:
American Board of Internal Medicine Sub-certificate in Cardiovascular Disease (Internal Medicine)
American Board of Internal Medicine Sub-certificate in Interventional Cardiology (Internal Medicine)

Rajat Garg resumes & CV records

Resumes

Rajat Garg Photo 30

Senior Staff R And D Engineer

Location:
San Francisco, CA
Industry:
Computer Software
Work:
Synopsys
Senior Staff R and D Engineer Magma Design Automation Apr 2007 - Mar 2012
Software Architect Peakstream Aug 2006 - Apr 2007
Member of Technical Staff Berkeley Design Automation Aug 2003 - Aug 2006
Senior Member of Technical Staff Sun Microsystems Sep 1996 - Aug 2003
Staff Engineer Los Alamos National Laboratory Jun 1995 - Sep 1995
Staff Research Assistant
Education:
Stanford University 1991 - 1996
Doctorates, Doctor of Philosophy, Mechanical Engineering University of Maryland 1989 - 1991
Master of Science, Masters Indian Institute of Technology, Kanpur 1985 - 1989
Bachelors, Bachelor of Technology, Mechanical Engineering Colvin Taluqdars'​ College - Lucknow
Skills:
High Performance Computing, Distributed Processing, Multithreading, Parallel Programming, Parallel Computing, Parallel Algorithms, Linux/Unix, Performance Analysis, Performance Tuning, Mpi, Openmp, P Threads, Numerical Analysis, Sparse Matrix Solvers, Tcl, Gpgpu, Eda, C, C++, Stl, Distributed Systems, Shell Scripting, Operating Systems, Software Engineering, Perl, Python, Unix, Simulations, Scalability, Processors, Optimization, Static Timing Analysis, Compilers, Algorithms, Linux
Interests:
Children
Education
Health
Certifications:
Algorithmic Toolbox
Data Structures
Algorithms on Graphs
Algorithms on Strings
Coursera Course Certificates, License Eq5Cazcfvpet
Coursera Course Certificates, License A3847F9G89Ks
Coursera Course Certificates, License Nkpwysa89Wsq
Coursera Course Certificates, License 8Wm9Lr6Lpgtt
License Eq5Cazcfvpet
License A3847F9G89Ks
License Nkpwysa89Wsq
License 8Wm9Lr6Lpgtt
Rajat Garg Photo 31

Rajat Garg

Location:
United States
Rajat Garg Photo 32

Rajat Garg

Location:
United States
Rajat Garg Photo 33

Rajat Garg

Location:
United States
Rajat Garg Photo 34

Rajat Garg

Rajat Garg Photo 35

Rajat Garg

Rajat Garg Photo 36

Rajat Garg

Rajat Garg Photo 37

Rajat Garg

Publications & IP owners

Us Patents

Using Tiling To Improve Performance In A Sparse Symmetric Direct Matrix Solver

US Patent:
6470368, Oct 22, 2002
Filed:
May 21, 1999
Appl. No.:
09/316173
Inventors:
Rajat P. Garg - Mountain View CA
Partha P. Tirumalai - Fremont CA
Assignee:
Sun Microsystems, Inc. - Santa Clara CA
International Classification:
G06F 738
US Classification:
708446, 708520
Abstract:
One embodiment of the present invention provides a system for efficiently perform a modification (cmod) operation in solving a system of linear algebraic equations involving a sparse coefficient matrix. The system operates by identifying supernodes in the sparse matrix, wherein each supernode comprises a set of contiguous columns having a substantially similar pattern of non-zero elements. In solving the equation, the system performs a cmod operation between a source supernode and a destination supernode. As part of this cmod operation, the system determines a subset of the source supernode that will be used in creating an update for the destination supernode. The system partitions the subset into a plurality of tiles, each tile being a rectangular shape of fixed dimensions chosen so as to substantially optimize a computational performance of the cmod operation on a particular computer architecture. The system computes a corresponding portion of the update for the destination supernode using a cmod function for each tile in the plurality of tiles. This computation may involve using computer code that is specifically tailored to each tiles dimensions.

Hybrid Representation Scheme For Factor L In Sparse Direct Matrix Factorization

US Patent:
6601080, Jul 29, 2003
Filed:
Feb 23, 2000
Appl. No.:
09/510911
Inventors:
Rajat P. Garg - Sunnyvale CA
Assignee:
Sun Microsystems, Inc. - Santa Clara CA
International Classification:
G06F 738
US Classification:
708502, 708490
Abstract:
A system that efficiently performs a CMOD operation in solving a system of equations involving a sparse coefficient matrix by identifying supernodes in the sparse matrix. Each supernode comprises a set of contiguous columns having a substantially similar pattern of non-zero elements. The system performs a CMOD operation on each supernode, by determining a structure for the supernode, and computing a function of the structure. The system uses a one-dimensional trapezoidal representation for the supernode during the CMOD operation, if the result of the function is lower than a threshold value, and otherwise uses a two-dimensional rectangular representation for the supernode. The function of the structure of the supernode is a function of a number of computational operations involved in computing a lower-triangular sub-block portion of the supernode and a number of computational operations involved in computing a rectangular sub-block portion of the supernode.

Block-Partitioned Technique For Solving A System Of Linear Equations Represented By A Matrix With Static And Dynamic Entries

US Patent:
7089275, Aug 8, 2006
Filed:
Jan 29, 2003
Appl. No.:
10/354330
Inventors:
Rajat P. Garg - San Jose CA, US
Assignee:
SUN Microsystems, Inc. - Santa Clara CA
International Classification:
G06F 7/38
G06F 17/50
US Classification:
708446, 703 14
Abstract:
One embodiment of the present invention provides a system that uses a block-partitioned technique to efficiently solve a system of linear equations. The system first receives a matrix that specifies the system of linear equations to be used in performing a time-based simulation. This matrix includes a static portion containing entries that remain fixed over multiple time steps in the time-based simulation, as well as a dynamic portion containing entries that change between time steps in the time-based simulation. Next, the system performs the time-based simulation, wherein performing the time-based simulation involves solving the system of linear equations for each time step in the time-based simulation. In solving the system of linear equations, the system factorizes the static portion of the matrix only once, and reuses the factorization of the static portion in performing an overall factorization of the matrix for each time step of the time-based simulation.

Hybrid Technique For Performing A Column Modification Operation In A Sparse Symmetric Direct Matrix Solver

US Patent:
6397236, May 28, 2002
Filed:
May 21, 1999
Appl. No.:
09/316168
Inventors:
Rajat P. Garg - Mountain View CA
Partha P. Tirumalai - Fremont CA
Assignee:
Sun Microsystems, Inc. - Palo Alto CA
International Classification:
G06F 738
US Classification:
708446, 708520
Abstract:
A hybrid system for efficiently performing a cmod operation in solving a system of linear algebraic equations involving a sparse coefficient matrix. The system operates by identifying supernodes in the sparse matrix, wherein each supernode comprises a set of contiguous columns having a substantially similar pattern of non-zero elements. In solving the equation, the system performs a column modification (CMOD) operation between a source supernode and a destination supernode. As part of this CMOD operation, the system determines dimensions of the source supernode and the destination supernode. If a result of a function on the dimensions is lower than a threshold value, the system performs the CMOD operation between the source supernode and the destination supernode using a kernel that is written in an architecture-independent high-level language. If the result of the function on the dimensions is greater than the threshold value, the system performs the CMOD operation using a kernel that is written in an architecture-specific assembly code that runs efficiently on a specific computer architecture.

Isbn (Books And Publications)

Techniques For Optimizing Applications: High Performance Computing

Author:
Rajat P. Garg
ISBN #:
0130934763

Possible Relatives

Dinesh K Garg  Jawahar Garg  Madhu Garg  Mahendra K Garg  Manish G Garg  Narendra N Garg  Neha Garg  Rajat Kumar  Rajat Rai  Rajat Kapoor 

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