Abstract: Processing-in-memory (PIM), where compute is moved closer to memory or data, has been explored to accelerate emerging workloads. Different PIM-based systems have been announced, each ...

Abstract: Token compression is essential for reducing the computational and memory requirements of transformer models, enabling their deployment in resource-constrained environments. In this work, we ...