26 citations · 30 across the 4 of their papers we have counts for
4 papers
AnalogNAS-Bench: A NAS Benchmark for Analog In-Memory Computing
Aniss Bessalah, Hatem Mohamed Abdelmoumen, Karima Benatchba +1
Analog In-memory Computing (AIMC) has emerged as a highly efficient paradigm for accelerating Deep Neural Networks (DNNs), offering significant energy and latency benefits over con…
A Life-long Learning Intrusion Detection System for 6G-Enabled IoV
Abdelaziz Amara korba, Souad Sebaa, Malik Mabrouki +2
The introduction of 6G technology into the Internet of Vehicles (IoV) promises to revolutionize connectivity with ultra-high data rates and seamless network coverage. However, this…
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
Massinissa Merouani, Afif Boudaoud, Iheb Nassim Aouadj +7
While polyhedral compilers have shown success in implementing advanced code transformations, they still face challenges in selecting the ones that lead to the most profitable speed…
A Deep Learning Based Cost Model for Automatic Code Optimization
Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas +4
Enabling compilers to automatically optimize code has been a longstanding goal for the compiler community. Efficiently solving this problem requires using precise cost models. Thes…