2 papers
cs.AR2026
AMAX: Accuracy-Aware Multi-Loop Asymmetric Perforation for Heterogeneous Architectures
Amna Hassan, Paul Danielse, Anuj Pathania +2
Thermal constraints in heterogeneous multi-core systems can significantly degrade performance, as conventional techniques such as dynamic voltage and frequency scaling (DVFS) and t…
cs.AR2026
UniCASE: A Unified 16-bit Floating-Point Format with Criticality-Aware Selective ECC for Efficient DNN Protection
Amna Hassan, Semeen Rehman
Soft errors are an increasing reliability concern for Deep Neural Network execution because they can corrupt parameters, leading to accuracy degradation. While conventional ECC off…