Projects

From The Emerging Circuits and Computation Group at ITU
(Difference between revisions)
Jump to: navigation, search
(Nationally Sponsored: University-External)
(Nationally Sponsored: University-External)
Line 162: Line 162:
 
|- valign=top
 
|- valign=top
 
| width="140" |'''title''':
 
| width="140" |'''title''':
| width="400"|Design of Reconfigurable Circuits and Systems that can Perform Approximate Computation and their Use in Image Processing Applications Involving Learning
+
| width="400"|Energy-Efficient Hardware Design of Artificial Neural Networks (ANNs) for Mobile Platforms
 
|- valign="top"
 
|- valign="top"
 
| '''principal investigator''':
 
| '''principal investigator''':
Line 171: Line 171:
 
|- valign="top"
 
|- valign="top"
 
| '''budget''':
 
| '''budget''':
| 230.000 TL
+
| 7200.000 TL
 
|- valign="top"
 
|- valign="top"
 
| '''duration''':
 
| '''duration''':
| 2018-2020
+
| 2020-2023
 
|}
 
|}
  
Line 186: Line 186:
 
|- valign=top
 
|- valign=top
 
| width="300" |'''This project'''
 
| width="300" |'''This project'''
* targets image processing and neuromorphic applications including learning;
+
* targets mobile electronic applications that crucially need low energy consumption;
* proposes reconfigurable circuit-system co-design method with throughout power optimization; and
+
* implements energy-efficient ANNs by changing the rules of computing from the level of number representations to the level of circuit and system design; and
* involves applications in reconfigurable hardware for image filtering/compression and handwriting recognition.   
+
* offers ANNs to be used in the object tracking and language translation applications.   
 
|}
 
|}
 
|}
 
|}
Line 199: Line 199:
 
|- valign=top
 
|- valign=top
 
| width="140" |'''title''':
 
| width="140" |'''title''':
| width="400"|Energy-Efficient Hardware Design of Artificial Neural Networks (ANNs) for Mobile Platforms
+
| width="400"|Design of Reconfigurable Circuits and Systems that can Perform Approximate Computation and their Use in Image Processing Applications Involving Learning
 
|- valign="top"
 
|- valign="top"
 
| '''principal investigator''':
 
| '''principal investigator''':
Line 208: Line 208:
 
|- valign="top"
 
|- valign="top"
 
| '''budget''':
 
| '''budget''':
| 7200.000 TL
+
| 230.000 TL
 
|- valign="top"
 
|- valign="top"
 
| '''duration''':
 
| '''duration''':
| 2020-2023
+
| 2018-2020
 
|}
 
|}
  
Line 223: Line 223:
 
|- valign=top
 
|- valign=top
 
| width="300" |'''This project'''
 
| width="300" |'''This project'''
* targets mobile electronic applications that crucially need low energy consumption;
+
* targets image processing and neuromorphic applications including learning;
* implements energy-efficient ANNs by changing the rules of computing from the level of number representations to the level of circuit and system design; and
+
* proposes reconfigurable circuit-system co-design method with throughout power optimization; and
* offers ANNs to be used in the object tracking and language translation applications.   
+
* involves applications in reconfigurable hardware for image filtering/compression and handwriting recognition.   
 
|}
 
|}
 
|}
 
|}

Revision as of 12:50, 21 April 2020

Listed below are the projects coordinated by our group.

Contents

Main Projects

Internationally Sponsored

TUBITAK - NSF JOINT RESEARCH PROJECT


TUBITAK:

title: Computing with Switching Lattices: Technology Development, Device Modeling, and Circuit Design
principal investigator: Mustafa Altun, Istanbul Technical University
funding agency & program: TUBITAK Bilateral Cooperation Program (2501)
budget: 720.000 TL
duration: 2019-2022


NSF:

title: Architecting 3D Integrated Circuit Fabrics at Nanoscale
principal investigator: Prof. Csaba A. Moritz, University of Massachusetts, USA
funding agency & program: NSF Software and Hardware Foundation Program
budget: 725.000 DOLLAR
duration: 2015-2020
This project
  • aims to implement energy-efficient circuits / systems with nano-crossbars;
  • develops a new technology based on switching lattices; and
  • introduces circuit models and EDA tools for the developed technology.
title: Synthesis and Performance Optimization of a Switching Nano-Crossbar Computer
acronym: NANOxCOMP
principal investigator & coordinator: Mustafa Altun, Istanbul Technical University
partner(s):
funding agency & program: European Union/European Commission H2020 MSCA Research and Innovation Staff Exchange Program (RISE)
budget: 724.500 EURO
duration: 2015-2019
This project
  • gathers globally leading research groups working on nanoelectronics and EDA;
  • targets variety of emerging technologies including nanowire/nanotube crossbar arrays, magnetic switch-based structures, and crossbar memories; and
  • contributes to the construction of emerging computers beyond CMOS by proposing nano-crossbar based computer architectures.
Nanoxcomp logo.png

PRESENTATIONS

  • PPT.jpg
    Slides
  • SPACE
  • PDF.png
    Poster
  • SPACE
  • VIDEO.png
    Video
  • Nationally Sponsored: University-External

    title: Energy-Efficient Hardware Design of Artificial Neural Networks (ANNs) for Mobile Platforms
    principal investigator: Mustafa Altun, Istanbul Technical University
    funding agency & program: TUBITAK Scientific and Technological Research Projects Funding Program (1001)
    budget: 7200.000 TL
    duration: 2020-2023
    This project
    • targets mobile electronic applications that crucially need low energy consumption;
    • implements energy-efficient ANNs by changing the rules of computing from the level of number representations to the level of circuit and system design; and
    • offers ANNs to be used in the object tracking and language translation applications.
    title: Design of Reconfigurable Circuits and Systems that can Perform Approximate Computation and their Use in Image Processing Applications Involving Learning
    principal investigator: Mustafa Altun, Istanbul Technical University
    funding agency & program: TUBITAK Scientific and Technological Research Projects Funding Program (1001)
    budget: 230.000 TL
    duration: 2018-2020
    This project
    • targets image processing and neuromorphic applications including learning;
    • proposes reconfigurable circuit-system co-design method with throughout power optimization; and
    • involves applications in reconfigurable hardware for image filtering/compression and handwriting recognition.
    title: Implementation of Accurate Stochastic Circuit Blocks and their Applications for Printed/Flexible Electronic Systems
    principal investigator: Mustafa Altun, Istanbul Technical University
    funding agency & program: TUBITAK Scientific and Technological Research Projects Funding Program (1001)
    supporter(s): Ossilla, providing OFET test chips
    budget: 260.000 TL
    duration: 2017-2020
    This project
    • targets technologies necessitating low transistor counts including large-area electronics;
    • proposes accurate (error-free) computing techniques for stochastic logic; and
    • designs finite state machines working with bit streams.
    title: Implementation of a Fault-Aware 8-Bit Reversible Microprocessor
    principal investigator: Mustafa Altun, Istanbul Technical University
    funding agency & program: TUBITAK Short Term R&D Funding Program (1002)
    budget: 30.000 TL
    duration: 2016-2017, completed
    This project
    • targets fault-aware reversible circuits;
    • proposes a synthesis methodology to implement an 8-bit microprocessor; and
    • involves design, fabrication, and test of the processor using the AMS 0.35µ CMOS technology.
    title: Synthesis and Reliability Analysis of Nano Switching Arrays
    principal investigator: Mustafa Altun, Istanbul Technical University
    funding agency & program: TUBITAK Career Program (3501)
    budget: 190.000 TL
    duration: 2014-2017, completed
    This project
    • targets future and emerging technologies beyond CMOS;
    • proposes new computing models based on regular arrays of switches; and
    • offers failure resistant nano architectures.
    title: An Accurate Reliability Methodology for Appliance Electronic Cards
    principal investigator: Mustafa Altun, Istanbul Technical University
    partner(s): Ahmet Ferit Cosan, Arcelik A.S.
    funding agency & program: TUBITAK University-Industry Collaboration Grant Program (1505)
    budget: 210.000 TL
    duration: 2013-2015, completed
    This project
    • targets electronic circuits and cards produced by one of the Europe’s largest household appliances companies Arcelik A.S. and
    • proposes reliability prediction techniques using field return data, new accelerated test methodologies, and physics of failure based simulations.

    Nationally Sponsored: University-Internal

    title: Production and Modeling of Printable Organic-Inorganic Field Effect Transistors with Carbon Materials
    principal investigator: Mustafa Altun, Istanbul Technical University
    funding agency & program: Istanbul Technical University Research Support Program (ITU-BAP)
    budget: 50.000 TL
    duration: 2018-2019
    This project
    • targets technologies of large-area printed and organic electronics; and
    • proposes manufacturing and modeling techniques for carbon doped P3HT and TIPS-Pentacene transistors.

    Small/Supportive Projects: University-External

    title: Sensor and Communication Systems for Phacoemulsication Cataract Eye Surgery
    team:
    funding agency & program: TUBITAK Industry Oriented Senior Project Support Program (2241/A)
    duration: 2014-2015, completed
    title: Analysis and Modelling of Hot-Carrier Injection Failure Mechanism in MOSFETs
    team:
    funding agency & program: TUBITAK Industry Oriented Senior Project Support Program (2241/A)
    duration: 2014-2015, completed
    title: Logic Circuit Design for Nano Arrays
    team: Ceylan Morgul (PI) and Mustafa Altun (Advisor), Istanbul Technical University
    funding agency & program: TUBITAK Undergraduate Students Research Projects Support Program (2209/A)
    duration: 01/2014-07/2014, completed
    title: Gate Oxide Breakdown Failure Mechanism of CMOS Transistors
    team:
    funding agency & program: TUBITAK Industry Oriented Senior Project Support Program (2241/A)
    duration: 2013-2014, completed



    Funding-7.png
    Personal tools
    Namespaces

    Variants
    Actions
    ECC
    ECC (In Turkish)
    Toolbox