Jun 9 – 15, 2018
Woodlands Conference Center
America/New_York timezone
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Two FPGA Case Studies Comparing High Level Synthesis and Manual HDL for HEP applications

Jun 12, 2018, 4:30 PM
Woodlands Conference Center

Woodlands Conference Center

159 Visitor Center Dr, Williamsburg, VA 23185
Oral presentation Emerging Technologies


Dr Marc-André Tétrault (Harvard Medical School)


Real time data acquisition systems in nuclear science often rely on high-speed logic designs to reach the fast data rate requirements. They are mostly coded in a hardware description language (HDL). However, in recent years, so-called high level synthesis (HLS) software has appeared, some with the notable advantage that they rely on the widespread C/C++ syntax. This paper's aim is to outline differences between HDL and C++ HLS based designs for two real time data acquisition modules used in nuclear science. The first module is a real time crystal identification module, and the second is a compact event timestamp sorting module.
For the crystal identification module, both HDL and HLS versions have the same event processing interval, and the HLS implementation consumes twice as many lookup tables and flip flops as the HDL version. On the other hand, the HLS version took half the time to write and debug. For the sorter module, the HLS version requires about 3 to 4 times more logic resources, with a slightly longer interval. The challenge for this module is that some pipeline shortcuts cannot be automatically inferred from simple C++ and must be explicitly written in. This second HLS module was also completed in half the time compared to the original HDL code. While not intuitively applicable to all problem types, HLS is nonetheless a compelling alternative to custom HDL or Verilog implementations for real time systems in nuclear and plasma science.

Country USA
Minioral Yes
Institute Harvard
Description HDL code
Speaker Marc-André Tétrault

Primary author

Dr Marc-André Tétrault (Harvard Medical School)

Presentation materials