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TU Berlin

Inhalt des Dokuments

Antonio Saavedra

Contact

Contact information
Room:
E-N 636
Tel.:
+49 (0)30 314-24294
E-Mail

Address:
Sekretariat N 12
Einsteinufer 17
D-10587 Berlin

Research

  • Reconfigurable hardware design
  • FPGA-based custom hardware accelerators
  • High-level Synthesis tools
  • Embedded systems and computer architecture

Teaching

Teaching
Hardwarepraktikum
SoSe 2020/ Sose 2021
Rechnerorganisation Praktikum
WiSe 19/20, WiSe 20/21

Master/Bachelor Projects

  • High-level Synthesis design of Neural Networks Accelerators
  • Integrations of custom accelerators to RISC-V architectures

Publications

Saavedra, Antonio and Pezoa, Jorge E. and Zarkesh-Ha, Payman and Figueroa, Miguel (2017). An embedded system for face classification in infrared video using sparse representation. Applications of Digital Image Processing XL. International Society for Optics and Photonics, 103961N.


Saavedra, Antonio and Hernández, Cecilia and Figueroa, Miguel (2018). Heavy-Hitter Detection Using a Hardware Sketch with the Countmin-CU Algorithm. 2018 21st Euromicro Conference on Digital System Design (DSD), 38–45.


Redlich, Rodolfo and Araneda, Luis and Saavedra, Antonio and Figueroa, Miguel (2016). An Embedded Hardware Architecture for Real-Time Super-Resolution in Infrared Cameras. 2016 Euromicro Conference on Digital System Design (DSD), 184–191.


Saavedra, Antonio and Lehnert, Hans and Hernández, Cecilia and Carvajal, Gonzalo and Figueroa, Miguel (2020). Mining Discriminative K-Mers in DNA Sequences Using Sketches and Hardware Acceleration. IEEE Access, 114715–114732.


Soto, Javier E. and Valenzuela, Wladimir E. and Díaz, Silvana and Saavedra, Antonio and Figueroa, Miguel and Ghasemi, Javad and Zarkesh-Ha, Payman (2017). An intelligent readout integrated circuit (iROIC) with on-chip local gradient operations. 2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 360–362.


Valenzuela, Wladimir and Saavedra, Antonio and Zarkesh-Ha, Payman and Figueroa, Miguel (2022). Motion-Based Object Location on a Smart Image Sensor Using On-Pixel Memory. Sensors, 6538.


Saavedra, Antonio and Nazar, Gabriel L. and Stawinoga, Nicolai and Juurlink, Ben (2021). Evaluation of high-level languages for general FPGA acceleration. Proc. of 17th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES '21)


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