Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
Loop nest optimization is a combinatorial problem. Due to the growing complexity of modern architectures, it involves two increasingly difficult tasks: (1) analyzing the profita...
— Multicycling is a widely investigated technique for performance optimisation in behavioural synthesis. It allows an operation to execute over two or more control steps with the...
M. A. Ochoa-Montiel, Bashir M. Al-Hashimi, Peter K...
— In many verification tools methods for functional simulation based on reduced ordered Binary Decision Diagrams (BDDs) are used. The evaluation time for a BDD can be crucial an...
We introduce virtually-pipelined memory, an architectural technique that efficiently supports high-bandwidth, uniform latency memory accesses, and high-confidence throughput eve...