Seminar on Integrated Systems

Lecturer (assistant)
TypeSeminar
Duration3 SWS
TermSommersemester 2021
Language of instructionGerman

Dates

Admission information

Objectives

* self dependent learning of a scientific topic * improving your oral presentation skills * writing a scientific report * designing a scientific poster

Description

Specific topics in the area of integrated circuits and systems will be offered. The participants independently work on a current scientific topic, write a paper, design a poster and present their topic in a talk. In the subsequent discussion the topic will be trated in-depth.

Prerequisites

Fundamentals of integrated circuits and systems, electronic design automation and their applications

Teaching and learning methods

Participants elaborate a given scientific topic by themselves in coordinatin with the respective research assistant. Registration at TUMonline from 16th March to 13th April 2021 is required. Limited number of participants! Students have to choose a seminar topic before the introduction lesson. Therefore you need to contact the supervisor of the topic you are interested in. Topics are selected on a first come first served basis. Topics will be published on https://www.lis.ei.tum.de?id=hsis.

Examination

Examination with the following elements: - paper of 4 pages in IEEE format - presentation of a poster - talk of 15 Minutes and subsequent questions

Recommended literature

Themen-spezifische Literatur wird vom jeweiligen Betreuer empfohlen und soll durch eigene Recherchen ergänzt werden.

Links

Offered Topics

Seminars

Black-box and White-box Methods for Explainable Artificial Intelligence

Graph Neural Networks and Feature Correlation

Ruleset reduction algorithms in XCS classifier system.

Review of Design Space Exploration Techniques for Approximate FPGA/Hardware Signal Processing Systems

A comparison of Global Memory and DistributedMemory Architectures

Roofline Models for Near-Memory Accelerators

Roofline Models for Manycore Architectures

Efficient Training Schemes for Binary Neural Networks

In-Train Quantization and Pruning Methods for Convolutional Neural Networks

Optimized CUDA Kernels for Efficient Processing of Binary and Sparse Neural Networks

RNG on FPGA

Power Modeling of Multicore Processors

Assigned Topics

Seminars

Tone Mapping for HDR Camera Sensors in Cars with Advanced Driver Assistance Systems and Autonomous Drive

Transformers for Image Recognition: An Alternative to Convolutional Neural Networks

Preference-Based Multi-objective Optimization

High Dynamic Range Camera Sensors for Cars with Advanced Driver Assistance Systems and Autonomous Drive

Task Distribution / Scheduling in NoCs / TSN

Explainable / Interpretable AI