We apply a scalable approach for practical, comprehensive design space evaluation and
optimization. This approach combines design space sampling and statistical inference to …

The microarchitectural design space of a new processor is too large for an architect to
evaluate in its entirety. Even with the use of statistical simulation, evaluation of a single …

A reduction in the time-to-market has led to widespread use of pre-designed parametric
architectural solutions known as system-on-a-chip (SoC) platforms. A system designer has …

Domain-specific SoCs (DSSoCs) are an attractive solution for domains with extremely
stringent power, performance, and area constraints. However, DSSoCs suffer from two …

Analytical modeling is applied to the automated design of application-specific superscalar
processors. Using an analytical method bridges the gap between the size of the design …

Accelerator design is expensive due to the effort required to understand an algorithm and
optimize the design. Architects have embraced two technologies to reduce costs. High-level …

Efficiently exploring exponential-size architectural design spaces with many interacting
parameters remains an open problem: the sheer number of experiments required renders …

Due to the enormous complexity of computer systems, researchers use simulators to model
system behavior and generate quantitative estimates of expected performance. Researchers …

Increasing demand for power-efficient, high-performance computing requires tuning
applications and/or the underlying hardware to improve the mapping between workload …

Benchmarks set standards for innovation in computer architecture research and industry
product development. Consequently, it is of paramount importance that these workloads are …