| KEYWORD |
Approximate Computing Benchmarks for Embedded Systems
Parole chiave APPROXIMATE COMPUTING, EMBEDDED SYSTEMS, HARDWARE DESIGN, SOFTWARE DEVELOPMENT
Riferimenti ALESSANDRO SAVINO
Riferimenti esterni Prof. Michele Portolan (michele.portolan@grenoble-inp.fr)
Prof. Alberto Bosio (alberto.bosio@ec-lyon.fr)
Gruppi di ricerca TESTGROUP - TESTGROUP
Tipo tesi IMPLEMENTATION, RESEARCH / EXPERIMENTAL
Descrizione Goals: Identify and implement a meaningful set of multi-layer application for approximate computing techniques evaluation and comparison in Embedded System scenarios.
Description:
Approximate Computing paradigms is well suited for a particular subset of applications showing a so-called “intrinsic resiliency”. Approximation can be applied at all abstraction levels: from circuit design up to the final software application. However, the lack of a common multi-layer framework makes it difficult to estimate and compare the impact of different approximations choices.
The thesis concentrates on the identification of several approximate-aware algorithms to deliver their implementation both as hardware circuits (i.e., VHDL/Verilog and SystemC/SystemVerilog) and software applications (i.e., C and C++). The resulting benchmark will enable a clear comparison between the different approaches.
A particular emphasis will be placed on emerging computing paradigms-based algorithms such as artificial neural networks.
Learned Outcomes: High Level Synthesis (HLS), Alternative Computing Paradigms, HW/SW co-simulation (Verilog Programming Interfaces).
Conoscenze richieste C/C++ programming and digital circuit design and simulation
Note Possibility to spend half of the Thesis on the École Central de Lyon.
Scadenza validita proposta 23/01/2022
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