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Welcome at AES

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The Embedded Systems Architecture (Architektur eingebetteter Systeme, AES) group investigates and teaches the field of computer architecture, ranging from low-power embedded systems to massively parallel high-performance systems. We focus on the design, implementation and optimization of high performance embedded systems; taking into account the interactions between applications, tools, and architectures. In addition to high performance we also aim at improving energy efficiency, programmability, predictability, error resilience, as well as other features of emerging computer systems.

Jan. 2016: Project LPGPU2 has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688759.

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Graphics researchers at Samsung Electronics UK have teamed up with mobile graphics specialists Codeplay, Think Silicon and TU Berlin to develop a tool for enabling smartphone batteries to last longer while running advanced video games and using the camera. The EU Commission has awarded a European GPU consortium a grant of 2.97 million Euros to research and develop a novel tool chain for analysing, visualizing, and improving the power efficiency of applications on mobile Graphics Processor Units (GPUs). more to: Jan. 2016: Project LPGPU2 has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688759.

Research Seminar

  • February 11, 2016- 10:00am: "Design and Implementation of an FPGA-based Optical QAM Receiver for Real-Time Applications". Björn Böttcher.
  • February 18, 2016- 10:00am: "OpenCL Kernel Cost Analysis for HPC". Won-Tae Joo.
  • February 18, 2016- 10:30am: "Data Transformation Trajectories in Embedded Systems". Nawabul Haque.
  • 25.02.2016- 10:00am: "A Scheme to support two dimensional memory access in Image and Video Processing Applications". Tareq Alawneh.
  • 03.03.2016-10:00am: "Exploration of the Interoperability of OpenCL and OpenGL ". Michael F. W. Kürbis
  • 17.03.2016- 10:00am: "Profile Based Huffman Encoding with Multiple Trees for GPUs". Sohan Lal.
more to: Research Seminar

Zusatzinformationen / Extras

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Auxiliary Functions

Chair:
Prof. Dr. Ben Juurlink
Room E-N 642
Tel. +49.30.314-73130/73131
Fax +49.30.314-22943
Asking for an appointment

Secretary's office:
Sara Tennstedt
Jana Pilz
Room E-N 645
Tel. +49.30.314-73130
Fax +49.30.314-22943
Opening Hours:
Mo to Thur 9:00 am - 12:00
and with registration


Postal address:
Technische Universität Berlin
Institut für Technische Informatik und Mikroelektronik (TIME)
Sekretariat EN 12
Einsteinufer 17
D-10587 Berlin
Germany