Computing, Electronics and Digital Systems
[Closed]
Work description
- Gather a list of academic and industry publications of Instruction Set Extensions for RISC-V processors that target Machine Learning inference acceleration in its many forms. - Determine the reproducibility of the above efforts regarding compiler support for emitting assembly code including the extension, and availability of simulators that support the extension. - Use a source-to-source compiler to insert calls to the custom extension in C/C++ code. - Write the grant activity report.
Academic Qualifications
Degree in Informatics Engineering, Electrical and Computer Engineering or similar
Minimum profile required
- Expert in a programming language (at least one or the following: C, C++, Java, JavaScript or Typescript)- Fluency in English (spoken and written)
Preference factors
- Experience in compilers (ASTs, IRs) - Fluency in Portuguese (spoken and written)
Application Period
Since 15 Feb 2024 to 28 Feb 2024
[Closed]
Centre
Human-Centered Computing and Information Science