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==Short Description==
+
==Introduction==
 +
 
 
Abstract of the project
 
Abstract of the project
  
 
===Status: Available ===
 
===Status: Available ===
 +
 
: Looking for 1 Semester/Master student
 
: Looking for 1 Semester/Master student
 
: Contact: [[:User:spmatteo | Matteo Spallanzani]], [[:User:andrire | Renzo Andri (Huawei RC Zurich)]]
 
: Contact: [[:User:spmatteo | Matteo Spallanzani]], [[:User:andrire | Renzo Andri (Huawei RC Zurich)]]
  
===Prerequisites===
+
 
: Experience in C/C++ and Python programming
+
===Competences===
: Knowledge of numerical analysis
+
 
: (Recommended) Experience in the PyTorch deep learning framework
+
Required:
: (Recommended) Knowledge of numerical representation formats and digital arithmetic
+
* Numerical representation formats (integer, floating-point)
 +
* Numerical analysis
 +
* Python programming
 +
* C/C++ programming
 +
 
 +
Optional:
 +
* Knowledge of the PyTorch deep learning framework
 +
* Knowledge of digital arithmetic (e.g., two's complement, overflow, wraparound)
 +
 
  
 
===Character===
 
===Character===
 +
 
: 20% Theory
 
: 20% Theory
 
: 40% C/C++ and Python coding
 
: 40% C/C++ and Python coding
 
: 40% Deep learning
 
: 40% Deep learning
 +
  
 
===Professor===
 
===Professor===
 +
 
: [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=194234 Luca Benini]
 
: [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=194234 Luca Benini]
  
[[#top|↑ top]]
 
  
==Detailed Task Description==
+
===Practical Details===
  
===Goals===
 
===Practical Details===
 
 
* '''[[Project Plan]]'''
 
* '''[[Project Plan]]'''
 
* '''[[Project Meetings]]'''
 
* '''[[Project Meetings]]'''
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* '''[[Final Presentation]]'''
 
* '''[[Final Presentation]]'''
  
==Results==
 
 
==Links==
 
  
[[#top|↑ top]]
 
 
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[[Category:2020]]
 
[[Category:2020]]
  
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--->
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[[Category:Digital]]
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[[Category:Deep Learning Projects]]
 
[[Category:Deep Learning Acceleration]]  
 
[[Category:Deep Learning Acceleration]]  
 
[[Category:Semester Thesis]]
 
[[Category:Semester Thesis]]
 
[[Category:Master Thesis]]
 
[[Category:Master Thesis]]
 +
[[Category:Hot]]
 +
[[Category:Available]]
 
[[Category:Spmatteo]]
 
[[Category:Spmatteo]]
 
[[Category:Andrire]]
 
[[Category:Andrire]]
[[Category:Hot]]
 
[[Category:Available]]
 
[[Category:Digital]]
 
[[Category:Deep Learning Projects]]
 

Revision as of 19:16, 24 September 2021

Introduction

Abstract of the project

Status: Available

Looking for 1 Semester/Master student
Contact: Matteo Spallanzani, Renzo Andri (Huawei RC Zurich)


Competences

Required:

  • Numerical representation formats (integer, floating-point)
  • Numerical analysis
  • Python programming
  • C/C++ programming

Optional:

  • Knowledge of the PyTorch deep learning framework
  • Knowledge of digital arithmetic (e.g., two's complement, overflow, wraparound)


Character

20% Theory
40% C/C++ and Python coding
40% Deep learning


Professor

Luca Benini


Practical Details