Gustavo Alonso: Katalogdaten im Herbstsemester 2017

NameHerr Prof. Dr. Gustavo Alonso
LehrgebietInformatik
Adresse
Institut für Computing Platforms
ETH Zürich, STF K 513
Stampfenbachstrasse 114
8092 Zürich
SWITZERLAND
Telefon+41 44 632 73 06
E-Mailalonso@inf.ethz.ch
URLhttp://www.inf.ethz.ch/~alonso
DepartementInformatik
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
252-0817-00LDistributed Systems Laboratory Information
Im Masterstudium können zusätzlich zu den Vertiefungsübergreifenden Fächern nur max. 10 Kreditpunkte über Laboratorien erarbeitet werden. Diese Labs gelten nur für das Masterstudium. Weitere Laboratorien werden auf dem Beiblatt aufgeführt.
10 KP9PG. Alonso, T. Hoefler, F. Mattern, T. Roscoe, A. Singla, R. Wattenhofer, C. Zhang
KurzbeschreibungThis course involves the participation in a substantial development and/or evaluation project involving distributed systems technology. There are projects available in a wide range of areas: from web services to ubiquitous computing including wireless networks, ad-hoc networks, RFID, and distributed applications on smartphones.
LernzielGain hands-on-experience with real products and the latest technology in distributed systems.
InhaltThis course involves the participation in a substantial development and/or evaluation project involving distributed systems technology. There are projects available in a wide range of areas: from web services to ubiquitous computing including as well wireless networks, ad-hoc networks, and distributed application on smartphones. The goal of the project is for the students to gain hands-on-experience with real products and the latest technology in distributed systems. There is no lecture associated to the course.
For information of the course or projects available, see https://www.dsl.inf.ethz.ch/ or contact Prof. Mattern, Prof. Wattenhofer, Prof. Roscoe or Prof. G. Alonso.
263-0007-00LAdvanced Systems Lab Information
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
8 KP4P + 1AG. Alonso
KurzbeschreibungThe goal of this course is to teach students how to evaluate the performance of complex computer and software systems. Accordingly, the methodology to carry out experiments and measurements is studied.
Furthermore, the modelling of systems with the help of queueing network systems is explained.
LernzielThe goal of this course is to teach students how to evaluate the performance of complex computer and software systems.
263-3504-00LHardware Acceleration for Data Processing Information 2 KP2SG. Alonso, T. Hoefler, O. Mutlu, C. Zhang
KurzbeschreibungThe seminar will cover topics related to data processing using new hardware in general and hardware accelerators (GPU, FPGA, specialized processors) in particular.
LernzielThe seminar will cover topics related to data processing using new hardware in general and hardware accelerators (GPU, FPGA, specialized processors) in particular.
InhaltThe general application areas are big data and machine learning. The systems covered will include systems from computer architecture, high performance computing, data appliances, and data centers.
Voraussetzungen / BesonderesStudents taking this seminar should have the necessary background in systems and low level programming.