Project Description
Energy efficiency and real-time performance are among the main challenges in the 5G/6G era, driven by the increasing complexity of computational algorithms in stream processing…
Key contributions
Cross-layer approximation methodology and architecture guided by various heuristics and ML models. Design of heterogeneous approximate hardware…
X-ReAp: Cross-Layer Runtime Reconfigurable Approximate Computing
The X-ReAp project extends the achievements of the DFG-funded ReAp initiative, which developed precise and approximate…
X-DNet: Energy-Efficient Distributed and In-Network Computing via Cross-Layer ApproXimation of Applications and Accelerators Software Campus (BMBF)
Details
LeanMiCS: Learning-Based Cross-Layer Reliability Management in Embedded Mixed-Criticality Systems
Abstract
With the technology scaling in these modern embedded platforms, which leads to…
