Abstract: We propose a co-design approach for compute-in-memory inference for deep neural networks (DNN). We use multiplication-free function approximators based on l 1 norm along with a co-adapted ...

In this study, we propose LWMalloc, a lightweight dynamic memory allocator designed for resource-constrained environments. LWMalloc incorporates a lightweight data structure, a deferred coalescing (DC ...