Our strategical axes

The institute’s work is organised along three lines of research. The following buttons will show you the assigned projects for each line.

 

Efficient Information Processing

Axis coordinator: Yann Thoma

Our skills in the field of programmable circuits (FPGA/CPLD) and interconnection technologies (high-speed interfaces and buses) lead to innovative solutions in the domain of applications requiring high-speed data processing (hardware acceleration, signal processing, cryptography, etc.).
 
Our realizations rely on a solid experience of digital systems development and verification methodologies (VHDL, SystemVerilog, EDA tools, Matalab Simulink).
 
  • Computing accelerator
  • Hardware implementation tailored to dedicated algorithms (Cryptography, signal processing, etc.)
  • High-speed data communication
  • Co-design and data flow optimization
  • Software for hardware design

Under development


PEHAGA

Nov 2, 2017, 14:32 PM
Power-Efficient Hardware Acceleration of Genomic Algorithms
Page:
2a2f684f-169f-6184-b062-ff0000b5cb90
Select a choice:
Terminated
StartDate:
Sep 1, 2017, 14:27 PM
EndDate:
Mar 31, 2020, 14:27 PM
The goal of PEHAGA is to explore hardware acceleration for genomic data processing. Due to the data structure of DNA sequences, FPGAs are good candidates for such acceleration and power consumption reduction.
After finding the bottlenecks in terms of computation, accelerators will be designed and tested with real data.
axes:
  • Hardware-oriented Efficient Information Processing
domaines-d-application:
  • Health
Tags:
  • FPGA

Completed projects


PEHAGA

Nov 2, 2017, 14:32 PM
Power-Efficient Hardware Acceleration of Genomic Algorithms
Page:
2a2f684f-169f-6184-b062-ff0000b5cb90
Select a choice:
Terminated
StartDate:
Sep 1, 2017, 14:27 PM
EndDate:
Mar 31, 2020, 14:27 PM
The goal of PEHAGA is to explore hardware acceleration for genomic data processing. Due to the data structure of DNA sequences, FPGAs are good candidates for such acceleration and power consumption reduction.
After finding the bottlenecks in terms of computation, accelerators will be designed and tested with real data.
axes:
  • Hardware-oriented Efficient Information Processing
domaines-d-application:
  • Health
Tags:
  • FPGA