Memory buffer allocation for on-chip memories is a major challenge in modern machine
learning systems that target ML accelerators. In interactive systems such as mobile phones …

Machine learning (ML) has become a prevalent approach to tame the complexity of design
space exploration for domain-specific architectures. While appealing, using ML for design …

With the popularity of deep learning, the hardware implementation platform of deep learning
has received increasing interest. Unlike the general purpose devices, eg, CPU or GPU …

Good resource utilization plays an important role in maximizing the performance of DNN
accelerators. One method to maximize resource utilization is to divide accelerator resources …

Directed acyclic graphs (DAGs) are ubiquitous in the design and optimizations of systems.
For example, neural networks have become a key computational workload for system …

The process of hardware design space exploration requires both hardware parameters and
mappings from the algorithm onto the target hardware to be discovered and optimized …