Aravind Natarajan

age ~34

from San Jose, CA

Aravind Natarajan Phones & Addresses

  • San Jose, CA
  • Santa Clara, CA
  • College Station, TX

Work

  • Company:
    Marvell semiconductor
    Apr 2017 to Aug 2017
  • Position:
    Senior design verification engineer

Education

  • Degree:
    Masters, Master of Engineering
  • School / High School:
    Texas A&M University
    2012 to 2014
  • Specialities:
    Computer Engineering, Engineering

Skills

C • C++ • Cuda • Verilog • Vhdl • Systemc • Cadence Virtuoso • Cadence Spectre • Synopsys Tools • Soc • Matlab • Microsoft Office • Html • Xilinx Impact • Xilinx Identify Debugger • Computer Architecture • Modelsim • Field Programmable Gate Arrays • Very Large Scale Integration • Fpga • Vlsi • Xilinx

Languages

English • Tamil

Interests

Digital Vlsi • Computer Architecture

Industries

Semiconductors

Resumes

Aravind Natarajan Photo 1

Senior Silicon Design Engineer

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Location:
San Francisco, CA
Industry:
Semiconductors
Work:
Marvell Semiconductor Apr 2017 - Aug 2017
Senior Design Verification Engineer

Amd Apr 2017 - Aug 2017
Senior Silicon Design Engineer

Marvell Semiconductor Feb 1, 2014 - Mar 2017
Design Verification Engineer

Texas A&M University Feb 2013 - Feb 2014
Student Worker Ii - Open Access Labs

Nvidia May 2013 - Aug 2013
Fpga Verfication Intern
Education:
Texas A&M University 2012 - 2014
Masters, Master of Engineering, Computer Engineering, Engineering
National Institute of Technology, Tiruchirappalli 2008 - 2012
Bachelors, Bachelor of Technology, Electronics Engineering
Skills:
C
C++
Cuda
Verilog
Vhdl
Systemc
Cadence Virtuoso
Cadence Spectre
Synopsys Tools
Soc
Matlab
Microsoft Office
Html
Xilinx Impact
Xilinx Identify Debugger
Computer Architecture
Modelsim
Field Programmable Gate Arrays
Very Large Scale Integration
Fpga
Vlsi
Xilinx
Interests:
Digital Vlsi
Computer Architecture
Languages:
English
Tamil
Aravind Natarajan Photo 2

Aravind Natarajan Dallas, TX

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Work:
Department of Computer Science, The University of Texas at Dallas

Jan 2012 to 2000
Graduate Research Assistant
The University of Texas at Dallas
Richardson, TX
Sep 2010 to Jan 2012
Graduate Teaching Assistant
Reputation.com
Redwood City, CA
Jun 2010 to Aug 2010
Software Engineering Intern
Education:
The University of Texas at Dallas
Richardson, TX
2010 to 2013
Doctor of Philosophy in Computer Engineering
The University of Texas at Dallas
Richardson, TX
2007 to 2009
MS in Computer Engineering
Maulana Azad National Institute of Technology
Bhopal, Madhya Pradesh
2003 to 2007
B.Tech in Electronics and Communication Engineering
Skills:
Algorithms, Data Structures, Programming, Research
Aravind Natarajan Photo 3

Aravind Natarajan Richardson, TX

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Work:
Department of Computer Science, The University of Texas at Dallas

Jan 2012 to 2000
Graduate Research Assistant
The University of Texas at Dallas
Richardson, TX
Sep 2010 to Jan 2012
Graduate Teaching Assistant
Reputation Defender Inc.
Redwood City, CA
Jun 2010 to Aug 2010
Software Engineering Intern
Education:
The University of Texas at Dallas
Richardson, TX
2010 to 2013
PhD in Computer Engineering
The University of Texas at Dallas
Richardson, TX
2007 to 2009
Master of Science in Computer Engineering
Maulana Azad National Institute of Technology
Bhopal, Madhya Pradesh
2003 to 2007
Bachelor of Technology in Electronics and Communication Engineering
Skills:
Algorithm Design and Implementation, Parallel Programming.

Us Patents

  • Speculative Loop Iteration Partitioning For Heterogeneous Execution

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  • US Patent:
    20180060130, Mar 1, 2018
  • Filed:
    Aug 24, 2016
  • Appl. No.:
    15/245604
  • Inventors:
    - San Diego CA, US
    Han Zhao - Santa Clara CA, US
    Aravind Natarajan - Sunnyvale CA, US
  • International Classification:
    G06F 9/50
  • Abstract:
    Embodiments include computing devices, apparatus, and methods implemented by the apparatus for implementing speculative loop iteration partitioning (SLIP) for heterogeneous processing devices. A computing device may receive iteration information for a first partition of iterations of a repetitive process and select a SLIP heuristic based on available SLIP information and iteration information for the first partition. The computing device may determine a split value for the first partition using the SLIP heuristic, and partition the first partition using the split value to produce a plurality of next partitions.
  • Identifying Enhanced Synchronization Operation Outcomes To Improve Runtime Operations

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  • US Patent:
    20170286182, Oct 5, 2017
  • Filed:
    Mar 30, 2016
  • Appl. No.:
    15/085108
  • Inventors:
    - San Diego CA, US
    Gheorghe Cascaval - Palo Alto CA, US
    Han Zhao - Santa Clara CA, US
    Tushar Kumar - San Jose CA, US
    Aravind Natarajan - Sunnyvale CA, US
    Arun Raman - Fremont CA, US
  • International Classification:
    G06F 9/52
  • Abstract:
    Embodiments include computing devices, systems, and methods identifying enhanced synchronization operation outcomes. A computing device may receive a first resource access request for a first resource of a computing device including a first requester identifier from a first computing element of the computing device. The computing device may also receive a second resource access request for the first resource including a second requester identifier from a second computing element of the computing device. The computing device may grant the first computing element access to the first resource based on the first resource access request, and return a response to the second computing element including the first requester identifier as a winner computing element identifier.
  • Random-Access Disjoint Concurrent Sparse Writes To Heterogeneous Buffers

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  • US Patent:
    20170206035, Jul 20, 2017
  • Filed:
    Jan 19, 2016
  • Appl. No.:
    15/000667
  • Inventors:
    - San Diego, CA
    Aravind Natarajan - Sunnyvale CA, US
    Dario Suarez Gracia - Teruel, ES
  • International Classification:
    G06F 3/06
    G06F 12/10
  • Abstract:
    Methods, devices, and non-transitory processor-readable storage media for a computing device to merge concurrent writes from a plurality of processing units to a buffer associated with an application. An embodiment method executed by a processor may include identifying a plurality of concurrent requests to access the buffer that are sparse, disjoint, and write-only, configuring a write-set for each of the plurality of processing units, executing the plurality of concurrent requests to access the buffer using the write-sets, determining whether each of the plurality of concurrent requests to access the buffer is complete, obtaining a buffer index and data via the write-set of each of the plurality of processing units, and writing to the buffer using the received buffer index and data via the write-set of each of the plurality of processing units in response to determining that each of the plurality of concurrent requests to access the buffer is complete.

Flickr

Youtube

tinyML Talks - Aravind Natarajan: Pushing th...

tinyML Talks webcast - recorded July 21, 2020 "Pushing the Limits of U...

  • Duration:
    38m 32s

Aravind Natarajan presents at Cornell's 2017 ...

Finalist Aravind Natarajan.

  • Duration:
    3m 6s

Data Driven Sales & Marketing Using Advanced ...

Crunch your CRM data and convert it to valuable insights. Know in adva...

  • Duration:
    17m 7s

Inauguration of the Every Child A Scientist P...

Inauguration of the Every Child A Scientist Program 2021-2022 26 Septe...

  • Duration:
    1m 4s

An Introduction to Centerfield

In this podcast, Aravind Natarajan is in conversation with Abhishek Th...

  • Duration:
    46m 51s

December Music Season Dec 2021 Concerts - Ka...

Kalyanapuram Aravind Vocal H N Bhaskar Violin Delhi Sairam Mridangam C...

  • Duration:
    2h 6m 38s

Myspace

Aravind Natarajan Photo 10

Aravind Natarajan

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Locality:
chennai, Tamil Nadu
Gender:
Male
Birthday:
1954

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