Dynamic Memory Management (DMM) in High-Level Synthesis has been introduced as a promising solution for optimizing the accelerators' memory usage and reducing the occupied on-chip area. Schemes for ...

Specifically, a multiple deep Q -network (MDQN)-based dynamic task allocation mechanism is proposed to converge to a solution exploring reward uncertainties with the best exploitation. Numerical ...

Pro In-memory processing using Python promises faster and more efficient computing by skipping the CPU News By Wayne Williams published 3 December 2024 ...

Efficient use of GPU memory is essential for high throughput LLM inference. Prior systems reserved memory for the KV-cache ahead-of-time, resulting in wasted capacity due to internal fragmentation.