High-level synthesis (HLS) tools automatically transform a high-level program, for example
in C/C++, into a low-level hardware description. A key challenge in HLS tools is scheduling …

In many deployments, computer systems are underutilized--meaning that applications have
performance requirements that demand less than full system capacity. Ideally, we would …

System selection aims at finding the best architecture for a set of programs and workloads. It
traditionally requires long running benchmarks. We propose a method to reduce the cost of …

With the dramatic increase in scale expected for Exascale computing, there is a dire need for
tuning of hardware configurations and software optimizations such that they are in unison …

Modern systems (eg, deep neural networks, big data analytics, and compilers) are highly
configurable, which means they expose different performance behavior under different …

Increasing hardware variability in newer integrated circuit fabrication technologies has
caused corresponding power variations on a large scale. These variations are particularly …

Recent interest in machine-learning based methods has produced many sophisticated
models for performance modeling and optimization. These models tend to be sensitive to …

Writing high-performance code requires significant expertise in the programming language,
compiler optimizations, and hardware knowledge. This often leads to poor productivity and …

Selection from several computer systems with different hardware features resulting in
different software performance is a critical problem to solve. The problem becomes even …

This paper introduces a novel method for automatically tuning the selection of compiler flags
to optimize the performance of software intended to run on embedded hardware platforms …